diff --git a/.codacy.yml b/.codacy.yml index 5bf04e6942..673b5a7806 100644 --- a/.codacy.yml +++ b/.codacy.yml @@ -1,6 +1,6 @@ --- exclude_paths: - - 'pandapower/test/**' + - 'test/**' - 'doc/**' - 'tutorials/**' - '**.json' \ No newline at end of file diff --git a/.github/ISSUE_TEMPLATE/01-bug-report.yml b/.github/ISSUE_TEMPLATE/01-bug-report.yml index 0d65acb22f..c967a09874 100644 --- a/.github/ISSUE_TEMPLATE/01-bug-report.yml +++ b/.github/ISSUE_TEMPLATE/01-bug-report.yml @@ -16,7 +16,7 @@ body: Read the relevant sections of the [documentation](https://pandapower.readthedocs.io/en/latest/about.html) required: true - label: > - Browse the [tutorials](https://github.com/e2nIEE/pandapower/tree/develop/tutorials) and [tests](https://github.com/e2nIEE/pandapower/tree/develop/pandapower/test) for usefull code snippets and examples of use + Browse the [tutorials](https://github.com/e2nIEE/pandapower/tree/develop/tutorials) and [tests](https://github.com/e2nIEE/pandapower/tree/develop/test) for usefull code snippets and examples of use - label: > Reproduced the issue after updating with `pip install --upgrade pandapower` (or `git pull`) required: true diff --git a/.github/ISSUE_TEMPLATE/02-feature-request.yml b/.github/ISSUE_TEMPLATE/02-feature-request.yml index d3d7ffb362..3d55389b27 100644 --- a/.github/ISSUE_TEMPLATE/02-feature-request.yml +++ b/.github/ISSUE_TEMPLATE/02-feature-request.yml @@ -15,7 +15,7 @@ body: - label: > Read the relevant sections of the [documentation](https://pandapower.readthedocs.io/en/latest/about.html) - label: > - Browse the repository, [tutorials](https://github.com/e2nIEE/pandapower/tree/develop/tutorials) and [tests](https://github.com/e2nIEE/pandapower/tree/develop/pandapower/test) for already existing functionalities + Browse the repository, [tutorials](https://github.com/e2nIEE/pandapower/tree/develop/tutorials) and [tests](https://github.com/e2nIEE/pandapower/tree/develop/test) for already existing functionalities - type: dropdown id: feature_checks attributes: diff --git a/.github/ISSUE_TEMPLATE/10-blank-template.yml b/.github/ISSUE_TEMPLATE/10-blank-template.yml index 821a2aff6b..e7ccca0d88 100644 --- a/.github/ISSUE_TEMPLATE/10-blank-template.yml +++ b/.github/ISSUE_TEMPLATE/10-blank-template.yml @@ -14,7 +14,7 @@ body: - label: > Read the relevant sections of the [documentation](https://pandapower.readthedocs.io/en/latest/about.html) - label: > - Browse the [tutorials](https://github.com/e2nIEE/pandapower/tree/develop/tutorials) and [tests](https://github.com/e2nIEE/pandapower/tree/develop/pandapower/test) for useful code snippets and examples of use + Browse the [tutorials](https://github.com/e2nIEE/pandapower/tree/develop/tutorials) and [tests](https://github.com/e2nIEE/pandapower/tree/develop/test) for useful code snippets and examples of use - type: textarea id: description attributes: diff --git a/.github/workflows/github_test_action.yml b/.github/workflows/github_test_action.yml index 456e5bedaf..a070132465 100644 --- a/.github/workflows/github_test_action.yml +++ b/.github/workflows/github_test_action.yml @@ -21,7 +21,7 @@ concurrency: cancel-in-progress: true env: - IGNORES: "--ignore=pandapower/test/opf --ignore=pandapower/test/network_schema" + IGNORES: "--ignore=test/opf --ignore=test/network_schema" TUTORIAL_IGNORES: "--ignore=tutorials/uk_power_networks" jobs: @@ -100,7 +100,7 @@ jobs: uv pip list - name: Test with pytest, Codecov and Coverage run: | - uv run pytest --cov=./ --cov-report=xml --splits 4 --group ${{ matrix.group }} pandapower/test/network_schema + uv run pytest --cov=./ --cov-report=xml --splits 4 --group ${{ matrix.group }} test/network_schema cp ./coverage.xml ./coverage-net-schema-${{ matrix.group }}.xml - name: Upload coverage as artifact uses: actions/upload-artifact@v7 @@ -145,7 +145,7 @@ jobs: # remove it also in pyproject.toml 'requires-python' steps: - uses: actions/checkout@v6 - - uses: julia-actions/setup-julia@5c9647d97b78a5debe5164e9eec09d653d29bd71 #v2 + - uses: julia-actions/setup-julia@v3.0.2 with: version: ${{ matrix.julia-version }} arch: 'x64' @@ -164,7 +164,7 @@ jobs: julia -e 'using Pkg; Pkg.status()' - name: Test with pytest, Codecov and Coverage run: | - pytest --cov=./ --cov-report=xml pandapower/test/opf + pytest --cov=./ --cov-report=xml test/opf cp ./coverage.xml ./coverage-opf.xml - name: Upload coverage as artifact uses: actions/upload-artifact@v7 @@ -359,19 +359,19 @@ jobs: DSN: 'postgresql://test_user:secret@localhost:55432/sandbox' SCHEMA: 'test_schema' run: | - uv run python -c "import sys; from pandapower.test.api.test_sql_io import POSTGRESQL_AVAILABLE; sys.exit(not POSTGRESQL_AVAILABLE);" + uv run python -c "import sys; from test.api.test_sql_io import POSTGRESQL_AVAILABLE; sys.exit(not POSTGRESQL_AVAILABLE);" - name: Test pandapower File I/O env: DSN: 'postgresql://test_user:secret@localhost/sandbox' SCHEMA: 'test_schema' run: | - uv run pytest pandapower/test/api/test_sql_io.py + uv run pytest test/api/test_sql_io.py - name: Test pandapower File I/O against alternative port env: DSN: 'postgresql://test_user:secret@localhost:55432/sandbox' SCHEMA: 'test_schema' run: | - uv run pytest pandapower/test/api/test_sql_io.py + uv run pytest test/api/test_sql_io.py tutorial_tests: needs: build diff --git a/.gitignore b/.gitignore index d223a0c461..93436fd419 100644 --- a/.gitignore +++ b/.gitignore @@ -24,14 +24,15 @@ doc/std_types/tables/ *.orig *.ini !mypy.ini +*/data/* +/.vscode/ + pandapower/plotting/plotly/mapbox_token.txt pandapower/plotting/plotly/temp-plot.html -pandapower/test/timeseries/run_timeseries_output/* pandapower/timeseries/logs/* -*/data/* -/.vscode/ -pandapower/test/opf/buffer_file.json -pandapower/test/buffer_file.json +test/timeseries/run_timeseries_output/* +test/opf/buffer_file.json +test/buffer_file.json sonar-project.properties .scannerwork/ uv.lock diff --git a/.test_durations b/.test_durations index 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Change Log - [CHANGED] removed deprecated trafo support characteristics table (replaced by trafo_characteristc_table) - [ADDED] create function for trafo characteristic entries - [ADDED] converter for trafo characteristics +- [CHANGED] moved test files out of package, :code:`pandapower.test` to :code:`test` [upcoming release] - 2026-..-.. ------------------------------- diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index b71e841c72..dfecf73abb 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -177,7 +177,7 @@ Pull requests that lead to failing required tests will not be accepted. ### Adding Tests for new functionality If you have added new functionality, you should also add a new function that tests this functionality. -pytest automatically detects all functions in the pandapower/test folder that start with 'test' and are located in a +pytest automatically detects all functions in the `test` folder that start with 'test' and are located in a file that also starts with 'test' as relevant test cases. Say you have added a new function that doubles the rated power of a grid and added it to pandapower/toolbox.py: diff --git a/doc/conf.py b/doc/conf.py index 169cd63f0a..9d0287be27 100644 --- a/doc/conf.py +++ b/doc/conf.py @@ -23,7 +23,9 @@ #needs_sphinx = '1.0' sys.path.insert(0, os.path.abspath("..")) - +sys.path.append(os.path.abspath(".\\_themes")) +sys.path.append(os.path.abspath("..\\tests")) +sys.path.append(os.path.abspath("..\\network_generator")) # Add any Sphinx extension module names here, as strings. They can be extensions # coming with Sphinx (named 'sphinx.ext.*') or your custom ones. sys.path.append(os.path.abspath('_exts')) diff --git a/doc/opf/pandamodels.rst b/doc/opf/pandamodels.rst index dc283d32d8..cbfab23557 100644 --- a/doc/opf/pandamodels.rst +++ b/doc/opf/pandamodels.rst @@ -49,7 +49,7 @@ you need a version that is supported by PowerModels, PyCall and pyjulia. Current 7. Now install our interface `PandaModels.jl` by type :code:`add PandaModels` inside Julia package manager. -8. Finally, you can then test whether the PandaModels.jl interface works: Navigate to your local pandapower test folder :code:`pandapower/pandapower/test/opf` folder and run :code:`python-jl test_pandamodels_runpm.py` or :code:`pytest test_pandamodels_runpm.py` if pytest is installed. If everything works there should be no error. +8. Finally, you can then test whether the PandaModels.jl interface works: Navigate to your local pandapower test folder at :code:`test/opf/` and run :code:`python-jl test_pandamodels_runpm.py` or :code:`pytest test_pandamodels_runpm.py` if pytest is installed. If everything works there should be no error. Additional Solvers diff --git a/doc/powerflow/diagnostic.rst b/doc/powerflow/diagnostic.rst index 9a8e97f8c2..78e78f5ba4 100644 --- a/doc/powerflow/diagnostic.rst +++ b/doc/powerflow/diagnostic.rst @@ -8,7 +8,7 @@ issues leading to errors. For convienience a function is provided that creates the Diagnostic object and runs the diagnostic. -.. autofunction:: pandapower.diagnostic.diagnostic_helpers.diagnostic +.. autofunction:: pandapower.diagnostic.diagnostic.diagnostic Diagnostic Class ---------------- diff --git a/pandapower/build_branch.py b/pandapower/build_branch.py index 5ce47a719b..b485176b9b 100644 --- a/pandapower/build_branch.py +++ b/pandapower/build_branch.py @@ -33,8 +33,8 @@ from pandapower.pypower.idx_bus_sc import C_MIN, C_MAX from pandapower.pypower.idx_tcsc import TCSC_F_BUS, TCSC_T_BUS, TCSC_X_L, TCSC_X_CVAR, TCSC_SET_P, \ TCSC_THYRISTOR_FIRING_ANGLE, TCSC_STATUS, TCSC_CONTROLLABLE, tcsc_cols, TCSC_MIN_FIRING_ANGLE, TCSC_MAX_FIRING_ANGLE +from pandapower.create.utils import add_column_to_df from pandapower.pf.create_jacobian_tdpf import ALPHA_TDPF -from pandapower.create._utils import add_column_to_df @@ -787,6 +787,7 @@ def _get_trafo_shift( For complex tap changers: - Performs detailed voltage triangle calculations considering both magnitude and angle changes """ + def _cos(x: ArrayLike) -> ArrayLike: """ get cosine for x diff --git a/pandapower/build_gen.py b/pandapower/build_gen.py index 193c898549..09f0cb051f 100644 --- a/pandapower/build_gen.py +++ b/pandapower/build_gen.py @@ -530,7 +530,7 @@ def _calculate_qmin_qmax_from_q_capability_characteristics(net, element): return None # Filter rows with True 'reactive_capability_curve' - from pandapower.create._utils import add_column_to_df + from pandapower.create.utils import add_column_to_df add_column_to_df(net, element, 'reactive_capability_curve') element_data = net[element].loc[net[element]['reactive_capability_curve'].fillna(False)] diff --git a/pandapower/contingency/contingency.py b/pandapower/contingency/contingency.py index ee9570b6e4..f9715e389b 100644 --- a/pandapower/contingency/contingency.py +++ b/pandapower/contingency/contingency.py @@ -43,7 +43,7 @@ KLU_solver_available = False from pandapower.network import pandapowerNet -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.run import runpp diff --git a/pandapower/control/controller/station_control.py b/pandapower/control/controller/station_control.py index 3b48e650cd..0ba600a197 100644 --- a/pandapower/control/controller/station_control.py +++ b/pandapower/control/controller/station_control.py @@ -6,7 +6,7 @@ from pandapower.control.basic_controller import Controller from pandapower.auxiliary import _detect_read_write_flag, read_from_net, write_to_net from pandapower.control.util.auxiliary import get_min_max_q_mvar_from_characteristics_object -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from enum import Enum logger = logging.getLogger(__name__) @@ -674,13 +674,17 @@ def _update_min_max_q_mvar(self, net): add_column_to_df(net, self.output_element, 'min_q_mvar') add_column_to_df(net, self.output_element, 'max_q_mvar') - if ('id_q_capability_characteristic' in net[self.output_element] and not np.all(np.isnan(net[self.output_element].loc[self.output_element_index, 'id_q_capability_characteristic'].values))): - qmin, qmax = get_min_max_q_mvar_from_characteristics_object(net, self.output_element, self.output_element_index) + if ('id_q_capability_characteristic' in net[self.output_element] and not np.all(np.isnan( + net[self.output_element].loc[self.output_element_index, 'id_q_capability_characteristic'].values))): + qmin, qmax = get_min_max_q_mvar_from_characteristics_object(net, self.output_element, + self.output_element_index) self.output_min_q_mvar = np.nan_to_num(qmin, nan=-np.inf) self.output_max_q_mvar = np.nan_to_num(qmax, nan=np.inf) else: - self.output_min_q_mvar = np.nan_to_num(net[self.output_element].loc[self.output_element_index, 'min_q_mvar'].values, nan=-np.inf) - self.output_max_q_mvar = np.nan_to_num(net[self.output_element].loc[self.output_element_index, 'max_q_mvar'].values, nan=np.inf) + self.output_min_q_mvar = np.nan_to_num( + net[self.output_element].loc[self.output_element_index, 'min_q_mvar'].values, nan=-np.inf) + self.output_max_q_mvar = np.nan_to_num( + net[self.output_element].loc[self.output_element_index, 'max_q_mvar'].values, nan=np.inf) net[self.output_element].loc[self.output_element_index, 'min_q_mvar'] = self.output_min_q_mvar net[self.output_element].loc[self.output_element_index, 'max_q_mvar'] = self.output_max_q_mvar diff --git a/pandapower/control/util/auxiliary.py b/pandapower/control/util/auxiliary.py index c55fffda40..61acb2c032 100644 --- a/pandapower/control/util/auxiliary.py +++ b/pandapower/control/util/auxiliary.py @@ -11,7 +11,7 @@ from pandapower.auxiliary import soft_dependency_error, ensure_iterability from pandapower.control.util.characteristic import SplineCharacteristic, Characteristic -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df try: import matplotlib.pyplot as plt @@ -217,8 +217,8 @@ def create_trafo_characteristic_object(net): del net["trafo_characteristic_spline"] # 2-winding transformers if (net['trafo_characteristic_table'].index.size > 0 and - 'id_characteristic_table' in net.trafo.columns and - net['trafo']['id_characteristic_table'].notna().any() + 'id_characteristic_table' in net.trafo.columns and + net['trafo']['id_characteristic_table'].notna().any() ): logger.info("Creating tap dependent characteristic objects for 2w-trafos.") characteristic_df_temp = net['trafo_characteristic_table'][ @@ -237,8 +237,8 @@ def create_trafo_characteristic_object(net): logger.info("trafo_characteristic_table has no values for 2w-trafos - no characteristic objects created.") # 3-winding transformers if (net['trafo_characteristic_table'].index.size > 0 and - 'id_characteristic_table' in net.trafo3w.columns and - net['trafo3w']['id_characteristic_table'].notna().any() + 'id_characteristic_table' in net.trafo3w.columns and + net['trafo3w']['id_characteristic_table'].notna().any() ): logger.info("Creating tap dependent characteristic objects for 3w-trafos.") characteristic_df_temp = net['trafo_characteristic_table'][ @@ -390,11 +390,12 @@ def _set_reactive_capability_curve_flag(net, element): # Quick checks for element table and required columns if ( len(net[element]) == 0 - or not {"id_q_capability_characteristic", "reactive_capability_curve", "curve_style"}.issubset(net[element].columns) + or not {"id_q_capability_characteristic", "reactive_capability_curve", "curve_style"}.issubset( + net[element].columns) or ( - net[element]['id_q_capability_characteristic'].isna().all() - and not net[element]['reactive_capability_curve'].any() - ) + net[element]['id_q_capability_characteristic'].isna().all() + and not net[element]['reactive_capability_curve'].any() + ) and not net[element]['curve_style'].any() ): logger.info(f"No {element} with Q capability curve table found.") diff --git a/pandapower/convert_format.py b/pandapower/convert_format.py index 4981d305cf..ea4c530f9c 100644 --- a/pandapower/convert_format.py +++ b/pandapower/convert_format.py @@ -12,7 +12,7 @@ from pandapower._version import __version__, __format_version__ from pandapower import pandapowerNet from pandapower.control import TrafoController, BinarySearchControl, DroopControl -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.create import create_poly_cost from pandapower.create.trafo_characteristic_create import create_trafo_characteristic from pandapower.network_structure import get_structure_dict @@ -99,7 +99,7 @@ def _drop_empty_if_not_required(net): """ net_struct = get_structure_dict() tables_to_drop = [] - exceptions = ["res_bus_sc"] # TODO: why? + exceptions = ["res_bus_sc"] # TODO: why? for table_name, table in net.items(): if isinstance(table, pd.DataFrame): if table_name.startswith("res_"): @@ -134,7 +134,7 @@ def _replace_invalid_data(net, elements_to_deserialize, drop_invalid_geodata): except TypeError: geo_df = net[element]['geo'].dropna() except KeyError: - geo_df = {} # skip if no geo column exists + geo_df = {} # skip if no geo column exists if element in ["bus", "bus_dc"]: for i, geo in geo_df.items(): coords = geo['coordinates'] @@ -539,10 +539,10 @@ def _add_missing_columns(net, elements_to_deserialize): # Update the switch table with 'in_ka' if ('res_switch' in net and _check_elements_to_deserialize('res_switch', elements_to_deserialize) and 'p_from_mw' not in net.res_switch): - net.res_switch['p_from_mw'] = np.nan - net.res_switch['q_from_mvar'] = np.nan - net.res_switch['p_to_mw'] = np.nan - net.res_switch['q_to_mvar'] = np.nan + net.res_switch['p_from_mw'] = np.nan + net.res_switch['q_from_mvar'] = np.nan + net.res_switch['p_to_mw'] = np.nan + net.res_switch['q_to_mvar'] = np.nan # Update the switch table with 'in_ka' if ('res_switch_est' in net and _check_elements_to_deserialize('res_switch_est', elements_to_deserialize) and diff --git a/pandapower/converter/pandamodels/to_pm.py b/pandapower/converter/pandamodels/to_pm.py index b4a98691ee..c897ccb86d 100644 --- a/pandapower/converter/pandamodels/to_pm.py +++ b/pandapower/converter/pandamodels/to_pm.py @@ -229,6 +229,28 @@ def add_pm_gen_start_values_from_results(net, pm): return None +def _convert_inf_nan_to_float(obj): + """ + Recursively converts inf, -inf, and nan values to safe floats in nested structures. + + This is needed because JSON does not support inf/nan values (they serialize as + "Infinity", which is non-standard JSON), and Julia's JSON parser will fail on them. + + Parameters: + obj: The object to process (dict, list, or numeric value) + """ + if isinstance(obj, dict): + return {k: _convert_inf_nan_to_float(v) for k, v in obj.items()} + elif isinstance(obj, list): + return [_convert_inf_nan_to_float(item) for item in obj] + elif isinstance(obj, float): + if math.isnan(obj): + return 0.0 + elif math.isinf(obj): + return 1e10 + return obj + + def dump_pm_json(pm, buffer_file=None): # dump pm dict to buffer_file (*.json) if buffer_file is None: @@ -236,8 +258,9 @@ def dump_pm_json(pm, buffer_file=None): temp_name = next(tempfile._get_candidate_names()) buffer_file = os.path.join(tempfile.gettempdir(), "pp_to_pm_" + temp_name + ".json") logger.debug("writing PowerModels data structure to %s" % buffer_file) + pm_safe = _convert_inf_nan_to_float(pm) with open(buffer_file, 'w') as outfile: - json.dump(pm, outfile, indent=4, sort_keys=True, cls=NumpyEncoder) + json.dump(pm_safe, outfile, indent=4, sort_keys=True, cls=NumpyEncoder) return buffer_file diff --git a/pandapower/converter/powerfactory/main_pf.py b/pandapower/converter/powerfactory/main_pf.py index 09427d7984..68fc86d617 100644 --- a/pandapower/converter/powerfactory/main_pf.py +++ b/pandapower/converter/powerfactory/main_pf.py @@ -17,7 +17,6 @@ from pandapower.converter.powerfactory.pp_import_functions import from_pf from pandapower.converter.powerfactory import pf_export_functions as pef from pandapower.converter.powerfactory import logger_setup as pflog -from pandapower.converter.powerfactory import gui from pandapower.converter.powerfactory.validate import validate_pf_conversion pandas.set_option('display.width', 1000) @@ -274,6 +273,7 @@ def calc(app, input_panel, entry_path_dst, entry_fname, pv_as_slack, export_cont # if called from powerfactory, __name__ is also '__main__' if __name__ == '__main__': + from pandapower.converter.powerfactory import gui try: import powerfactory as pf except: diff --git a/pandapower/converter/pypower/from_ppc.py b/pandapower/converter/pypower/from_ppc.py index b6f45470cb..24664c343e 100644 --- a/pandapower/converter/pypower/from_ppc.py +++ b/pandapower/converter/pypower/from_ppc.py @@ -2,6 +2,8 @@ # and Energy System Technology (IEE), Kassel. All rights reserved. from math import pi +import logging + import numpy as np import pandas as pd from pandapower.network import pandapowerNet @@ -15,7 +17,6 @@ ) from pandapower.run import runpp -import logging logger = logging.getLogger(__name__) ppc_elms = ["bus", "branch", "gen"] @@ -28,8 +29,9 @@ def from_ppc(ppc, f_hz=50, validate_conversion=False, **kwargs) -> pandapowerNet Parameters: ppc (dict): The pypower case file. f_hz (int): The frequency of the network, by default 50 - validate_conversion (bool): If True, validate_from_ppc is run after conversion. For running the validation, the ppc must already contain the pypower powerflow results or pypower must be installed, by default False - + validate_conversion (bool): If True, validate_from_ppc is run after conversion. For running the validation, the + ppc must already contain the pypower powerflow results or pypower must be installed, by default False + Keyword Arguments: validate_from_ppc: if validate_conversion is True tap_side: @@ -41,7 +43,7 @@ def from_ppc(ppc, f_hz=50, validate_conversion=False, **kwargs) -> pandapowerNet Example: >>> from pandapower.converter.pypower.from_ppc import from_ppc - >>> from pandapower.test.converter.test_from_ppc import get_testgrids + >>> from test.converter.test_from_ppc import get_testgrids >>> ppc = get_testgrids('pypower_cases', 'case4gs.json') >>> net = from_ppc(ppc, f_hz=60) """ @@ -50,7 +52,7 @@ def from_ppc(ppc, f_hz=50, validate_conversion=False, **kwargs) -> pandapowerNet logger.info('There are false baseKV given in the pypower case file.') net = pandapowerNet(name="from_ppc", f_hz=f_hz, sn_mva=ppc["baseMVA"]) - net._from_ppc_lookups = dict() + net._from_ppc_lookups = {} _from_ppc_bus(net, ppc) net._from_ppc_lookups["gen"] = _from_ppc_gen(net, ppc) @@ -259,7 +261,8 @@ def _from_ppc_branch(net, ppc, f_hz, **kwargs): ratio_1[~ratio_is_zero] -= 1 br_b = ppc['branch'][is_trafo, BR_B] if np.any(br_b > 0): - logger.warning("some BR_B of transformers in ppc['branch'] are positive, but transformers are inductive, therefore their B should be negative") + logger.warning("some BR_B of transformers in ppc['branch'] are positive, but transformers are inductive, " + "therefore their B should be negative") i0_percent = np.sqrt(br_b**2 + br_g[is_trafo]**2) * 100 * baseMVA / sn # i0_percent = -ppc['branch'][is_trafo, BR_B] * 100 * baseMVA / sn is_neg_i0_percent = i0_percent < 0 @@ -270,7 +273,7 @@ def _from_ppc_branch(net, ppc, f_hz, **kwargs): f'(hv_bus, lv_bus)=({hv_bus[is_neg_i0_percent]}, {hv_bus[is_neg_i0_percent]}) ' 'is positive.') - pfe_kw = br_g[is_trafo] * baseMVA * 1e3 + pfe_kw = br_g[is_trafo] * baseMVA * 1e3 # pfe_kw = 0. vk_percent = np.sign(xk) * zk * sn * 100 / baseMVA vk_percent[~tap_side_is_hv] /= (1+ratio_1[~tap_side_is_hv])**2 @@ -291,7 +294,7 @@ def _from_ppc_branch(net, ppc, f_hz, **kwargs): else: idx_trafo = [] # unused data from ppc: rateB, rateC - + if np.any(is_impedance): fb = net.bus.index[from_bus[is_impedance]] tb = net.bus.index[to_bus[is_impedance]] @@ -314,13 +317,13 @@ def _from_ppc_branch(net, ppc, f_hz, **kwargs): # divide by 2 because in ppc[branch] it stands for the total Y of the branch, # and here we specify the "from" and "to" portions of Y separately - idx_impedance = create_impedances(net, from_buses=fb, to_buses=tb, rft_pu=rft_pu, + idx_impedance = create_impedances(net, from_buses=fb, to_buses=tb, rft_pu=rft_pu, xft_pu=xft_pu, rtf_pu=rft_pu+r_asym_pu, xtf_pu=xft_pu+x_asym_pu, bf_pu=bf_pu, gf_pu=gf_pu, gt_pu=gf_pu+g_asym_pu, bt_pu=bf_pu+b_asym_pu, sn_mva=sn_mva) else: idx_impedance = [] - + # branch_lookup: which branches are lines, and which ones are transformers branch_lookup = pd.DataFrame({"element": [-1] * n_bra, "element_type": [""] * n_bra}) branch_lookup.loc[is_line, "element"] = idx_line @@ -392,7 +395,7 @@ def construct_list_of_list(row): return arr.tolist() pts = ppc_pwl_points - if not (pts.shape[1] % 2) == 0: + if pts.shape[1] % 2 != 0: raise ValueError("_calc_pp_pwl_points() expects ppc_pwl_points with shape[1] is " f"multiple of 2. However, ppc_pwl_points.shape[1]={ppc_pwl_points}.") c = (pts[:, 3::2] - pts[:, 1:-2:2]) / (pts[:, 2::2] - pts[:, :-2:2]) @@ -543,12 +546,13 @@ def validate_from_ppc(ppc: dict, net: pandapowerNet, max_diff_values: dict | Non Whether the power flow results matches. Example: - >>> import pandapower - >>> from pandapower.test.converter.test_from_ppc import get_testgrids + >>> from pandapower.run import runpp + >>> from pandapower.converter.pypower import validate_from_ppc, from_ppc + >>> from test.converter.test_from_ppc import get_testgrids >>> ppc = get_testgrids('pypower_cases', 'case4gs.json') - >>> net = pandapower.converter.from_ppc(ppc, f_hz=50) - >>> pandapower.runpp(net) - >>> pf_match = pandapower.converter.validate_from_ppc(ppc, net) + >>> net = from_ppc(ppc, f_hz=50) + >>> runpp(net) + >>> pf_match = validate_from_ppc(ppc, net) """ if max_diff_values is None: max_diff_values = { @@ -620,7 +624,7 @@ def validate_from_ppc(ppc: dict, net: pandapowerNet, max_diff_values: dict | Non pp_res["gen_q_sum_per_bus"] = _gen_q_per_bus_sum(pp_res["gen"][:, -1:], ppc) # --- log maximal differences the powerflow result comparison - diff_res = dict() + diff_res = {} comp_keys = ["bus", "branch", "gen_p", "gen_q_sum_per_bus"] for comp_key in comp_keys: diff_res[comp_key] = ppc_res[comp_key] - pp_res[comp_key] diff --git a/pandapower/create/__init__.py b/pandapower/create/__init__.py index 3ab4e9018b..0f013ac4cd 100644 --- a/pandapower/create/__init__.py +++ b/pandapower/create/__init__.py @@ -1,25 +1,3 @@ -from pandapower.create._utils import ( - _add_branch_geodata, - _add_multiple_branch_geodata, - _add_to_entries_if_not_nan, - _branch_geodata, - _check_branch_element, - _check_element, - _check_elements_existence, - _check_multiple_branch_elements, - _check_multiple_elements, - _cost_existance_check, - _costs_existance_check, - _get_index_with_check, - _get_multiple_index_with_check, - _group_parameter_list, - _not_nan, - _set_const_percent_values, - _set_entries, - _set_multiple_entries, - _set_value_if_not_nan, - _try_astype, -) from pandapower.create.bus_create import * from pandapower.create.cost_create import * from pandapower.create.ext_grid_create import * diff --git a/pandapower/create/bus_create.py b/pandapower/create/bus_create.py index d5ab69a324..36ab8ac339 100644 --- a/pandapower/create/bus_create.py +++ b/pandapower/create/bus_create.py @@ -14,7 +14,7 @@ from pandapower.network_structure import get_default_value from pandapower.plotting.geo import _is_valid_number from pandapower.pp_types import BusType, Int -from pandapower.create._utils import ( +from pandapower.create.utils import ( _add_to_entries_if_not_nan, _get_index_with_check, _get_multiple_index_with_check, diff --git a/pandapower/create/cost_create.py b/pandapower/create/cost_create.py index bd1253b106..75b3ce554d 100644 --- a/pandapower/create/cost_create.py +++ b/pandapower/create/cost_create.py @@ -11,7 +11,7 @@ from pandapower.network import pandapowerNet from pandapower.pp_types import Int, CostElementType, PWLPowerType -from pandapower.create._utils import ( +from pandapower.create.utils import ( _cost_existance_check, _costs_existance_check, _get_index_with_check, diff --git a/pandapower/create/ext_grid_create.py b/pandapower/create/ext_grid_create.py index 5cea3dcffc..67fea4fe73 100644 --- a/pandapower/create/ext_grid_create.py +++ b/pandapower/create/ext_grid_create.py @@ -10,7 +10,7 @@ from pandapower import pandapowerNet from pandapower.network_structure import get_default_value from pandapower.pp_types import Int -from pandapower.create._utils import ( +from pandapower.create.utils import ( _check_element, _get_index_with_check, _set_entries, diff --git a/pandapower/create/gen_create.py b/pandapower/create/gen_create.py index ffa0443ebc..6f9c6868b1 100644 --- a/pandapower/create/gen_create.py +++ b/pandapower/create/gen_create.py @@ -13,7 +13,7 @@ from pandapower.network_structure import get_default_value from pandapower import pandapowerNet from pandapower.pp_types import Int -from pandapower.create._utils import ( +from pandapower.create.utils import ( _add_to_entries_if_not_nan, _check_element, _check_multiple_elements, diff --git a/pandapower/create/group_create.py b/pandapower/create/group_create.py index f6be5a31a3..8c7abe1efe 100644 --- a/pandapower/create/group_create.py +++ b/pandapower/create/group_create.py @@ -8,7 +8,7 @@ import numpy as np from pandapower import pandapowerNet -from pandapower.create._utils import ( +from pandapower.create.utils import ( _check_elements_existence, _get_index_with_check, _group_parameter_list, diff --git a/pandapower/create/impedance_create.py b/pandapower/create/impedance_create.py index f8601f90f7..5f0d21e5ce 100644 --- a/pandapower/create/impedance_create.py +++ b/pandapower/create/impedance_create.py @@ -12,7 +12,7 @@ from pandapower.network import pandapowerNet from pandapower.network_structure import get_default_value from pandapower.pp_types import Int -from pandapower.create._utils import ( +from pandapower.create.utils import ( _add_to_entries_if_not_nan, _check_branch_element, _check_multiple_branch_elements, diff --git a/pandapower/create/line_create.py b/pandapower/create/line_create.py index 4f98075896..83ab7dd2a1 100644 --- a/pandapower/create/line_create.py +++ b/pandapower/create/line_create.py @@ -13,7 +13,7 @@ from pandapower import pandapowerNet from pandapower.std_types import load_std_type from pandapower.pp_types import Int, LineType -from pandapower.create._utils import ( +from pandapower.create.utils import ( _add_branch_geodata, _add_multiple_branch_geodata, _add_to_entries_if_not_nan, diff --git a/pandapower/create/load_create.py b/pandapower/create/load_create.py index 40d92b62a1..f8acb8d7c5 100644 --- a/pandapower/create/load_create.py +++ b/pandapower/create/load_create.py @@ -12,7 +12,7 @@ from pandapower.network import pandapowerNet from pandapower.network_structure import get_default_value from pandapower.pp_types import Int, UnderOverExcitedType, WyeDeltaType -from pandapower.create._utils import ( +from pandapower.create.utils import ( _add_to_entries_if_not_nan, _check_element, _check_multiple_elements, diff --git a/pandapower/create/measurement_create.py b/pandapower/create/measurement_create.py index aef4ef8136..78f8aee500 100644 --- a/pandapower/create/measurement_create.py +++ b/pandapower/create/measurement_create.py @@ -10,7 +10,7 @@ from pandapower import pandapowerNet from pandapower.pp_types import Int, MeasurementElementType, MeasurementType -from pandapower.create._utils import _get_index_with_check, _set_entries +from pandapower.create.utils import _get_index_with_check, _set_entries logger = logging.getLogger(__name__) diff --git a/pandapower/create/motor_create.py b/pandapower/create/motor_create.py index 0d72e30407..fd5b79f5e9 100644 --- a/pandapower/create/motor_create.py +++ b/pandapower/create/motor_create.py @@ -8,7 +8,7 @@ from pandapower import pandapowerNet from pandapower.pp_types import Int -from pandapower.create._utils import _check_element, _get_index_with_check, _set_entries +from pandapower.create.utils import _check_element, _get_index_with_check, _set_entries from pandapower.network_structure import get_default_value logger = logging.getLogger(__name__) diff --git a/pandapower/create/sgen_create.py b/pandapower/create/sgen_create.py index bc58d031dd..5709270103 100644 --- a/pandapower/create/sgen_create.py +++ b/pandapower/create/sgen_create.py @@ -12,7 +12,7 @@ from pandapower import pandapowerNet from pandapower.pp_types import GeneratorType, Int, UnderOverExcitedType, WyeDeltaType -from pandapower.create._utils import ( +from pandapower.create.utils import ( _add_to_entries_if_not_nan, _check_element, _check_multiple_elements, diff --git a/pandapower/create/shunt_create.py b/pandapower/create/shunt_create.py index 21af541e20..2b452e4692 100644 --- a/pandapower/create/shunt_create.py +++ b/pandapower/create/shunt_create.py @@ -11,7 +11,7 @@ from pandapower import pandapowerNet from pandapower.pp_types import Int -from pandapower.create._utils import ( +from pandapower.create.utils import ( _check_element, _check_multiple_elements, _get_index_with_check, diff --git a/pandapower/create/source_create.py b/pandapower/create/source_create.py index b865ebaf4e..b63f0c08a9 100644 --- a/pandapower/create/source_create.py +++ b/pandapower/create/source_create.py @@ -7,7 +7,7 @@ from pandapower import pandapowerNet from pandapower.pp_types import Int -from pandapower.create._utils import _check_element, _get_index_with_check, _set_entries +from pandapower.create.utils import _check_element, _get_index_with_check, _set_entries from pandapower.network_structure import get_default_value logger = logging.getLogger(__name__) diff --git a/pandapower/create/storage_create.py b/pandapower/create/storage_create.py index 0cfbeca3ce..09abcc83b2 100644 --- a/pandapower/create/storage_create.py +++ b/pandapower/create/storage_create.py @@ -11,7 +11,7 @@ from pandapower import pandapowerNet from pandapower.pp_types import Int -from pandapower.create._utils import ( +from pandapower.create.utils import ( _add_to_entries_if_not_nan, _check_element, _check_multiple_elements, diff --git a/pandapower/create/switch_create.py b/pandapower/create/switch_create.py index 5f8e243857..312450d0bd 100644 --- a/pandapower/create/switch_create.py +++ b/pandapower/create/switch_create.py @@ -11,7 +11,7 @@ from pandapower import pandapowerNet from pandapower.pp_types import Int, SwitchElementType, SwitchType -from pandapower.create._utils import ( +from pandapower.create.utils import ( _check_element, _check_multiple_elements, _get_index_with_check, diff --git a/pandapower/create/trafo_characteristic_create.py b/pandapower/create/trafo_characteristic_create.py index dafb72c2c2..9d18e897c0 100644 --- a/pandapower/create/trafo_characteristic_create.py +++ b/pandapower/create/trafo_characteristic_create.py @@ -5,7 +5,7 @@ from pandapower.network import pandapowerNet from pandapower.pp_types import Int -from pandapower.create._utils import add_column_to_df, _get_index_with_check +from pandapower.create.utils import add_column_to_df, _get_index_with_check def _create_trafo_characteristic_table(net: pandapowerNet): diff --git a/pandapower/create/trafo_create.py b/pandapower/create/trafo_create.py index 6354a42ea2..23e85329a2 100644 --- a/pandapower/create/trafo_create.py +++ b/pandapower/create/trafo_create.py @@ -15,7 +15,7 @@ from pandapower import pandapowerNet from pandapower.std_types import load_std_type from pandapower.pp_types import HVMVLVType, HVLVType, Int, TapChangerType, TapChangerWithTabularType -from pandapower.create._utils import ( +from pandapower.create.utils import ( _add_to_entries_if_not_nan, _check_branch_element, _check_multiple_branch_elements, diff --git a/pandapower/create/_utils.py b/pandapower/create/utils.py similarity index 100% rename from pandapower/create/_utils.py rename to pandapower/create/utils.py diff --git a/pandapower/create/ward_create.py b/pandapower/create/ward_create.py index 4982220fef..aa627a0fac 100644 --- a/pandapower/create/ward_create.py +++ b/pandapower/create/ward_create.py @@ -11,7 +11,7 @@ from pandapower import pandapowerNet from pandapower.pp_types import Int -from pandapower.create._utils import ( +from pandapower.create.utils import ( _check_element, _check_multiple_elements, _get_index_with_check, diff --git a/pandapower/diagnostic/__init__.py b/pandapower/diagnostic/__init__.py index 23b8c8612a..7f9071c236 100644 --- a/pandapower/diagnostic/__init__.py +++ b/pandapower/diagnostic/__init__.py @@ -1,2 +1,2 @@ -from pandapower.diagnostic.diagnostic import Diagnostic -from pandapower.diagnostic.diagnostic_helpers import DiagnosticFunction, diagnostic +from pandapower.diagnostic.diagnostic import Diagnostic, diagnostic +from pandapower.diagnostic.diagnostic_helpers import DiagnosticFunction diff --git a/pandapower/diagnostic/diagnostic.py b/pandapower/diagnostic/diagnostic.py index cc8615505d..c34b7d8098 100644 --- a/pandapower/diagnostic/diagnostic.py +++ b/pandapower/diagnostic/diagnostic.py @@ -5,9 +5,11 @@ from typing import Literal, Any from collections.abc import Callable -from pandapower.network import ADict +from pandapower.network import ADict, pandapowerNet from pandapower.diagnostic.diagnostic_functions import default_diagnostic_functions, default_argument_values -from pandapower.diagnostic.diagnostic_helpers import logger, DiagnosticFunction, NotCompactFilter, NotDetailedFilter, LogCount +from pandapower.diagnostic.diagnostic_helpers import ( + logger, DiagnosticFunction, NotCompactFilter, NotDetailedFilter, LogCount +) # LOGGER: # there is no local logger here because it requires the custom log levels from diagnostic_helpers @@ -17,7 +19,7 @@ log_message_sep = f"\n{'':-<{log_format_len}}\n" -class Diagnostic: +class Diagnostic(object): """ A Diagnostic Tool Class for diagnosing and reporting on issues in a ADict subclassed network @@ -35,8 +37,8 @@ class Diagnostic: >>> result = diag.diagnose_network(net, report_style="detailed") """ - def __init__(self, add_default_functions: bool = True): - self._functions: list[tuple[str, DiagnosticFunction, list[str] | None]] = [] + def __init__(self, add_default_functions: bool = True) -> None: + self._functions: list[tuple[str, DiagnosticFunction[Any, Any], list[str] | None]] = [] self._report_functions: list[Callable] = [] self.kwargs = {} """ @@ -53,8 +55,8 @@ def __init__(self, add_default_functions: bool = True): "Dictionary storing the errors raised by the DiagnosticFunctions" def register_function( - self, diagnostic_function: DiagnosticFunction, argument_names: list[str] | None, name: str | None - ): + self, diagnostic_function: DiagnosticFunction[Any, Any], argument_names: list[str] | None, name: str | None + ) -> None: """ register a diagnostic function to run when running network diagnostics and the associated report function. @@ -63,7 +65,7 @@ def register_function( argument_names: the kwargs that should be passed to the diagnostic function. If None is provided all kwargs will be passed. name: name to use for results dict and reports, if None will use name of the class - + Example: >>> from pandapower.diagnostic import Diagnostic >>> from pandapower.diagnostic.diagnostic_functions import DeviationFromStdType @@ -71,7 +73,7 @@ def register_function( >>> diag = Diagnostic(add_default_functions=False) >>> diag.register_function(DeviationFromStdType(), None) >>> diag.register_function(DeviationFromStdType(), None, "dev_from_std_twice") - + """ if name is None: name = diagnostic_function.__class__.__name__ @@ -100,13 +102,9 @@ def diagnose_network( return_result_dict: returns a dictionary containing all check results True: returns dict with all check results False: no result dict - overload_scaling_factor: downscaling factor for loads and generation for overload check - lines_min_length_km: minimum length_km allowed for lines - lines_min_z_ohm: minimum z_ohm allowed for lines - nom_voltage_tolerance: highest allowed relative deviation between nominal voltages and bus voltages Keyword arguments: - any: for the power flow function to use during tests. If "run" is in kwargs the default call to runpp() is + the power flow function args to use during tests. If "run" is in kwargs the default call to runpp() is replaced by the function kwargs["run"] Returns: @@ -148,25 +146,25 @@ def diagnose_network( return self.diag_results if return_result_dict else None - def compact_report(self, warnings_only: bool = False): + def compact_report(self, warnings_only: bool = False) -> None: """ Generate the compact diagnostic report. - + Parameters: warnings_only: If True only warnings are printed - + Raises: RuntimeError: When called and no diagnostic results are available. """ self.report(warnings_only=warnings_only) - def detailed_report(self, warnings_only: bool = False): + def detailed_report(self, warnings_only: bool = False) -> None: """ Generate the detailed diagnostic report. - + Parameters: warnings_only: If True only warnings are printed - + Raises: RuntimeError: When called and no diagnostic results are available. """ @@ -175,11 +173,11 @@ def detailed_report(self, warnings_only: bool = False): def report(self, compact_report: bool = True, warnings_only: bool = False) -> None: """ Generate a diagnostic report. - + Parameters: compact_report: diagnostic report should be compact or detailed warnings_only: diagnostic report should be only warnings or all info - + Raises: RuntimeError: When called and no diagnostic results are available. """ @@ -215,3 +213,55 @@ def report(self, compact_report: bool = True, warnings_only: bool = False) -> No logger.removeFilter(log_counter) logger.removeFilter(log_detail_filter) logger.setLevel(original_log_level) + +def diagnostic( + net: pandapowerNet, + report_style: Literal['compact', 'detailed'] | None = 'detailed', + warnings_only: bool = False, + return_result_dict: bool = True, + overload_scaling_factor: float = 0.001, + lines_min_length_km: float = 0., + lines_min_z_ohm: float = 0., + nom_voltage_tolerance: float = 0.3, + **kwargs +) -> dict[str, Any] | None: + """ + Tool for diagnosis of pandapower networks. Identifies possible reasons for non converging loadflows. + + Parameters: + net: A pandapower network + report_style: style of the report, that gets ouput in the console + 'detailed': full report with high level of additional descriptions + 'compact' : more compact report, containing essential information only + 'None' : no report + warnings_only: Filters logging output for warnings + True: logging output for errors only + False: logging output for all checks, regardless if errors were found or not + return_result_dict: returns a dictionary containing all check results + True: returns dict with all check results + False: no result dict + overload_scaling_factor: downscaling factor for loads and generation for overload check + lines_min_length_km: minimum length_km allowed for lines + lines_min_z_ohm: minimum z_ohm allowed for lines + nom_voltage_tolerance: highest allowed relative deviation between nominal voltages and bus voltages + + Keyword Arguments: + Keyword arguments for the power flow function to use during tests. If "run" is in kwargs the default call to + runpp() is replaced by the function kwargs["run"] + + Returns: + dict that contains the indices of all elements where errors were found + Format: {'check_name': check_results} + + Example: + >>> from pandapower.diagnostic import diagnostic + >>> diagnostic(net, report_style='compact', warnings_only=True) + + """ + from pandapower.diagnostic import Diagnostic + d = Diagnostic() + kwargs['overload_scaling_factor'] = overload_scaling_factor + kwargs['lines_min_length_km'] = lines_min_length_km + kwargs['nom_voltage_tolerance'] = nom_voltage_tolerance + kwargs['lines_min_z_ohm'] = lines_min_z_ohm + return d.diagnose_network(net, report_style, warnings_only, return_result_dict, **kwargs) diff --git a/pandapower/diagnostic/diagnostic_functions.py b/pandapower/diagnostic/diagnostic_functions.py index 3d9faee86f..8926a6d351 100644 --- a/pandapower/diagnostic/diagnostic_functions.py +++ b/pandapower/diagnostic/diagnostic_functions.py @@ -1,3 +1,10 @@ +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +""" +A module containing some default diagnostic functions that will be used when not specified otherwise. +""" + import copy import sys from collections import defaultdict @@ -63,13 +70,14 @@ def diagnostic(self, net: pandapowerNet, **kwargs) -> dict[str, Any] | None: """ Parameters: net: pandapower network + Keyword Arguments: Any: kwargs are passed to - + Returns: dict that contains all input type restriction violations grouped by element (keys) Format: {'element': [element_index, 'element_attribute', attribute_value]} - + """ check_results: dict[str, Any] = {} @@ -78,7 +86,7 @@ def diagnostic(self, net: pandapowerNet, **kwargs) -> dict[str, Any] | None: # for each attribute according to pandapower data structure documantation # (see also type_checks function) - important_values = { + important_values: dict[str, list[tuple[str, str]]] = { "bus": [("vn_kv", ">0"), ("in_service", "boolean")], "line": [ ("from_bus", "positive_integer"), @@ -184,25 +192,25 @@ def diagnostic(self, net: pandapowerNet, **kwargs) -> dict[str, Any] | None: "vkr_percent_larger": check_vkr_larger, } - for key in important_values: + for key, values in important_values.items(): if len(net[key]) > 0: - for value in important_values[key]: + for column, function_name in values: # every element is checked separately, TODO: implement vector based checks for i, element in net[key].iterrows(): - check_result = type_checks[value[1]](element, i, value[0]) + check_result = type_checks[function_name](element, i, column) if check_result is not None: if key not in check_results: check_results[key] = [] # converts np.nan to str for easier usage of assert in pytest - nan_check = pd.isnull(net[key][value[0]].at[i]) + nan_check: bool = pd.isnull(net[key][column].at[i]) if nan_check: - check_results[key].append((i, value[0], str(net[key][value[0]].at[i]), value[1])) + check_results[key].append((i, column, str(net[key][column].at[i]), function_name)) else: - check_results[key].append((i, value[0], net[key][value[0]].at[i], value[1])) + check_results[key].append((i, column, net[key][column].at[i], function_name)) return check_results if check_results else None - def report(self, error: Exception | None, results: dict[str, Any] | None): + def report(self, error: Exception | None, results: dict[str, Any] | None) -> None: # error and success checks if error is not None: self.out.warning("Check for invalid values failed due to the following error:") @@ -242,8 +250,8 @@ def diagnostic(self, net: pandapowerNet, **kwargs) -> bool | None: if net.ext_grid.in_service.sum() + (net.gen.slack & net.gen.in_service).sum() == 0: return True return None - - def report(self, error: Exception | None, results: bool | None): + + def report(self, error: Exception | None, results: bool | None) -> None: # error and success checks if error is not None: self.out.warning("Check for external grid failed due to the following error:") @@ -337,12 +345,16 @@ def __init__(self) -> None: def diagnostic(self, net: pandapowerNet, **kwargs) -> dict[str, bool] | None: """ - :param pandapowerNet net: pandapower network - :param kwargs: Keyword arguments for power flow function. If "run" is in kwargs the default call to runpp() + Parameters: + net: pandapower network + + Keyword Arguments: + for power flow function. If "run" is in kwargs the default call to runpp() is replaced by the function kwargs["run"] - :returns: dict with the results of the overload check - Format: {'load_overload': True/False, 'generation_overload', True/False} + Return: + dict with the results of the overload check + Format: {'load_overload': True/False, 'generation_overload', True/False} """ # get function to run power flow run = partial(kwargs.pop("run", runpp), **kwargs) @@ -436,12 +448,16 @@ def __init__(self) -> None: def diagnostic(self, net: pandapowerNet, **kwargs) -> bool | None: """ - :param pandapowerNet net: pandapower network - :param kwargs: Keyword arguments for power flow function. If "run" is in kwargs the default call to runpp() + Parameters: + net: pandapower network + + Keyword Arguments: + for power flow function. If "run" is in kwargs the default call to runpp() is replaced by the function kwargs["run"] - :returns: dict with the results of the overload check - Format: {'load_overload': True/False, 'generation_overload', True/False} + Return: + dict with the results of the overload check + Format: {'load_overload': True/False, 'generation_overload', True/False} """ # get function to run power flow run = partial(kwargs.pop("run", rundcpp), **kwargs) @@ -487,12 +503,16 @@ def __init__(self) -> None: def diagnostic(self, net: pandapowerNet, **kwargs) -> bool | None: """ - :param pandapowerNet net: pandapower network - :param kwargs: Keyword arguments for power flow function. If "run" is in kwargs the default call to runpp() + Parameters: + net: pandapower network + + Keyword Arguments: + for power flow function. If "run" is in kwargs the default call to runpp() is replaced by the function kwargs["run"] - :returns: dict with the results of the overload check - Format: {'load_overload': True/False, 'generation_overload', True/False} + Return: + dict with the results of the overload check + Format: {'load_overload': True/False, 'generation_overload', True/False} """ # get function to run power flow run = partial(kwargs.pop("run", runpp), **kwargs) @@ -539,12 +559,16 @@ def __init__(self) -> None: def diagnostic(self, net: pandapowerNet, **kwargs) -> bool | None: """ - :param pandapowerNet net: pandapower network - :param kwargs: Keyword arguments for power flow function. If "run" is in kwargs the default call to runpp() + Parameters: + net: pandapower network + + Keyword Arguments: + Args for power flow function. If "run" is in kwargs the default call to runpp() is replaced by the function kwargs["run"] - :returns: dict with the results of the overload check - Format: {'load_overload': True/False, 'generation_overload', True/False} + Return: + dict with the results of the overload check + Format: {'load_overload': True/False, 'generation_overload', True/False} """ # get function to run power flow run = partial(kwargs.pop("run", runpp), **kwargs) @@ -760,6 +784,168 @@ def report(self, error: Exception | None, results: bool | None) -> None: f"Too high resistance tested: Power flow did not converge with line.r_ohm_per_km scaled down to {osf_percent}") +class WrongLineReactance(DiagnosticFunction[pandapowerNet, bool]): + """ + Checks, if a loadflow calculation converges. If not, checks, if line reactance is too high, by scaling it to 1%. + """ + def __init__(self) -> None: + super().__init__() + self.reactance_scaling_factor: float | None = None + + def diagnostic(self, net: pandapowerNet, **kwargs) -> bool | None: + """ + Parameters: + net: pandapower network + + Keyword Arguments: + Args for power flow function. If "run" is in kwargs the default call to runpp() + is replaced by the function kwargs["run"] + + Return: + dict with the results of the overload check + Format: {'load_overload': True/False, 'generation_overload', True/False} + """ + # get function to run power flow + run = partial(kwargs.pop("run", runpp), **kwargs) + check_result = None + line_reactance = copy.copy(net.line.x_ohm_per_km) + + reactance_scaling_factor = kwargs.pop( + "reactance_scaling_factor", default_argument_values["reactance_scaling_factor"] + ) + + self.reactance_scaling_factor = reactance_scaling_factor + try: + run(net) + except expected_exceptions: + check_result = False + try: + net.line.x_ohm_per_km *= reactance_scaling_factor + run(net) + check_result = True + except expected_exceptions: + self.out.debug("Line reactance check failed.") + + except Exception as e: + self.out.error(f"Line reactance check failed: {str(e)}") + raise e + + # teardown + net.line.x_ohm_per_km = line_reactance + + return check_result + + def report(self, error: Exception | None, results: bool | None) -> None: + # error and success checks + if error is not None: + self.out.warning("Check for convergence error failed due to the following error:") + self.out.warning(error) + return + if results is None: + self.out.info("PASSED: Power flow converges. No line capacitance problems found.") + return + + # message header + self.out.compact("line problems:\n") + self.out.detailed("Checking for too high line capacitance...\n") + + # message body + if self.capacitance_scaling_factor is not None: + capacitance_scaling_factor = self.capacitance_scaling_factor + else: + raise RuntimeError('diagnostic was not executed before calling results?') + + osf_percent = f"{capacitance_scaling_factor * 100} percent." + + if results: + self.out.warning( + f"Too high capacitance found: Power flow converges with line.c_nf_per_km scaled down to {osf_percent}") + else: + self.out.warning( + f"Too high capacitance tested: Power flow did not converge with line.c_nf_per_km scaled down to {osf_percent}") + + +class WrongLineResistance(DiagnosticFunction[pandapowerNet, bool]): + """ + Checks, if a loadflow calculation converges. If not, checks, if line resistance is too high, by scaling it to 1%. + """ + def __init__(self) -> None: + super().__init__() + self.resistance_scaling_factor: float | None = None + + def diagnostic(self, net: pandapowerNet, **kwargs) -> bool | None: + """ + Parameters: + net: pandapower network + + Keyword Arguments: + Args for power flow function. If "run" is in kwargs the default call to runpp() + is replaced by the function kwargs["run"] + + Return: + dict with the results of the overload check + Format: {'load_overload': True/False, 'generation_overload', True/False} + """ + # get function to run power flow + run = partial(kwargs.pop("run", runpp), **kwargs) + check_result = None + line_resistance = copy.copy(net.line.r_ohm_per_km) + + resistance_scaling_factor = kwargs.pop( + "resistance_scaling_factor", default_argument_values["resistance_scaling_factor"] + ) + + self.resistance_scaling_factor = resistance_scaling_factor + try: + run(net) + except expected_exceptions: + check_result = False + try: + net.line.r_ohm_per_km *= resistance_scaling_factor + run(net) + check_result = True + except expected_exceptions: + self.out.debug("Line resistance check failed.") + + except Exception as e: + self.out.error(f"Line resistance check failed: {str(e)}") + raise e + + # teardown + net.line.r_ohm_per_km = line_resistance + + return check_result + + def report(self, error: Exception | None, results: bool | None) -> None: + # error and success checks + if error is not None: + self.out.warning("Check for convergence error failed due to the following error:") + self.out.warning(error) + return + if results is None: + self.out.info("PASSED: Power flow converges. No line capacitance problems found.") + return + + # message header + self.out.compact("line problems:\n") + self.out.detailed("Checking for too high line capacitance...\n") + + # message body + if self.capacitance_scaling_factor is not None: + capacitance_scaling_factor = self.capacitance_scaling_factor + else: + raise RuntimeError('diagnostic was not executed before calling results?') + + osf_percent = f"{capacitance_scaling_factor * 100} percent." + + if results: + self.out.warning( + f"Too high capacitance found: Power flow converges with line.c_nf_per_km scaled down to {osf_percent}") + else: + self.out.warning( + f"Too high capacitance tested: Power flow did not converge with line.c_nf_per_km scaled down to {osf_percent}") + + class SubNetProblemTest(DiagnosticFunction[pandapowerNet, dict[str, bool]]): """ Checks, if subnets are converging. This is done using the zone attribute. @@ -771,12 +957,16 @@ def __init__(self) -> None: def diagnostic(self, net: pandapowerNet, **kwargs) -> dict[str, bool] | None: """ - :param pandapowerNet net: pandapower network - :param kwargs: Keyword arguments for power flow function. If "run" is in kwargs the default call to runpp() + Parameters: + net: pandapower network + + Keyword Arguments: + Args for power flow function. If "run" is in kwargs the default call to runpp() is replaced by the function kwargs["run"] - :returns: dict with the results of the overload check - Format: {'load_overload': True/False, 'generation_overload', True/False} + Return: + dict with the results of the overload check + Format: {'load_overload': True/False, 'generation_overload', True/False} """ # get function to run power flow run = partial(kwargs.pop("run", runpp), **kwargs) @@ -836,11 +1026,14 @@ def __init__(self) -> None: def diagnostic(self, net: pandapowerNet, **kwargs) -> dict[str, bool] | None: """ - :param pandapowerNet net: pandapower network - :param kwargs: Keyword arguments for power flow function. If "run" is in kwargs the default call to runpp() + Parameters: + net: pandapower network + + Keyword Arguments: + Args for power flow function. If "run" is in kwargs the default call to runpp() is replaced by the function kwargs["run"] - :returns: dict with the results of the overload check + Return: dict with the results of the overload check Format: {'load_overload': True/False, 'generation_overload', True/False} """ # get function to run power flow @@ -934,12 +1127,16 @@ def __init__(self) -> None: def diagnostic(self, net: pandapowerNet, **kwargs) -> dict[str, float] | None: """ - :param pandapowerNet net: pandapower network - :param kwargs: Keyword arguments for power flow function. If "run" is in kwargs the default call to runpp() + Parameters: + net: pandapower network + + Keyword Arguments: + args for power flow function. If "run" is in kwargs the default call to runpp() is replaced by the function kwargs["run"] - :returns: dict with the results of the overload check - Format: {'load_overload': True/False, 'generation_overload', True/False} + Returns: + dict with the results of the overload check + Format: {'load_overload': True/False, 'generation_overload', True/False} """ # get function to run power flow run = partial(kwargs.pop("run", runpp), **kwargs) @@ -951,7 +1148,10 @@ def diagnostic(self, net: pandapowerNet, **kwargs) -> dict[str, float] | None: orig_gen = copy.copy(net.gen) - def _calculate_losses(net): + def _calculate_losses(net: pandapowerNet) -> np.floating[Any]: + """ + internal function to calculate losses + """ idx = net.gen.loc[net.gen.slack==True].index res = np.linalg.norm(net.res_gen.loc[idx].p_mw + net.res_gen.loc[idx].q_mvar * 1j) res += np.linalg.norm(net.res_ext_grid.p_mw + net.res_ext_grid.q_mvar * 1j) @@ -1025,12 +1225,16 @@ class TestContinuousBusIndices(DiagnosticFunction[pandapowerNet, bool]): """ def diagnostic(self, net: pandapowerNet, **kwargs) -> bool | None: """ - :param pandapowerNet net: pandapower network - :param kwargs: Keyword arguments for power flow function. If "run" is in kwargs the default call to runpp() + Parameters: + net: pandapower network + + Keyword Arguments: + Args for power flow function. If "run" is in kwargs the default call to runpp() is replaced by the function kwargs["run"] - :returns: dict with the results of the overload check - Format: {'load_overload': True/False, 'generation_overload', True/False} + Return: + dict with the results of the overload check + Format: {'load_overload': True/False, 'generation_overload', True/False} """ # get function to run power flow run = partial(kwargs.pop("run", runpp), **kwargs) @@ -1072,9 +1276,12 @@ class WrongSwitchConfiguration(DiagnosticFunction[pandapowerNet, bool]): """ def diagnostic(self, net: pandapowerNet, **kwargs) -> bool | None: """ - :param pandapowerNet net: pandapower network - :param kwargs: Keyword arguments for power flow function. If "run" is in kwargs the default call to runpp() - is replaced by the function kwargs["run"] + Parameters: + net: pandapower network + + Keyword Arguments: + for power flow function. If "run" is in kwargs the default call to runpp() + is replaced by the function kwargs["run"] """ run = partial(kwargs.pop("run", runpp), **kwargs) switch_configuration = copy.deepcopy(net.switch.closed) @@ -1108,7 +1315,9 @@ def report(self, error: Exception | None, results: bool | None) -> None: # message body if results: - self.out.warning("Possibly wrong switch configuration found: power flow converges with all switches closed.") + self.out.warning( + "Possibly wrong switch configuration found: power flow converges with all switches closed." + ) else: self.out.warning("Power flow still does not converge with all switches closed.") @@ -1119,11 +1328,15 @@ class MissingBusIndices(DiagnosticFunction[pandapowerNet, dict]): """ def diagnostic(self, net: pandapowerNet, **kwargs) -> dict | None: """ - :param pandapowerNet net: pandapower network - :param kwargs: unused + Parameters: + net: pandapower network + + Keyword Arguments: + unused - :returns: List of tuples each containing missing bus indices. - Format: [(element_index, bus_name (e.g. "from_bus", bus_index), ...] + Returns: + List of tuples each containing missing bus indices. + Format: [(element_index, bus_name (e.g. "from_bus", bus_index), ...] """ check_results = {} bus_indices = set(net.bus.index) @@ -1177,17 +1390,21 @@ class DifferentVoltageLevelsConnected(DiagnosticFunction[pandapowerNet, dict]): """ Checks if there are lines or switches that connect different voltage levels. """ - def __init__(self): + def __init__(self) -> None: super().__init__() self.net = None def diagnostic(self, net: pandapowerNet, **kwargs) -> dict | None: """ - :param pandapowerNet net: pandapower network - :param kwargs: + Parameters: + net: pandapower network + + Keyword Arguments: + unused - :returns: dict that contains all lines and switches that connect different voltage levels. - Format: {'lines': lines, 'switches': switches} + Return: + dict that contains all lines and switches that connect different voltage levels. + Format: {'lines': lines, 'switches': switches} """ self.net = net check_results = {} @@ -1250,22 +1467,26 @@ class ImplausibleImpedanceValues(DiagnosticFunction[pandapowerNet, list[dict]]): """ Checks, if there are lines, xwards or impedances with an impedance value close to zero. """ - def __init__(self): + def __init__(self) -> None: super().__init__() self.params = {} def diagnostic(self, net: pandapowerNet, **kwargs) -> list[dict] | None: """ - :param pandapowerNet net: pandapower network - :param kwargs: Keyword arguments for power flow function. If "run" is in kwargs the default call to runpp() - is replaced by the function kwargs["run"] + Parameters: + net: pandapower network + + Keyword Arguments: + Args for power flow function. If "run" is in kwargs the default call to runpp() + is replaced by the function kwargs["run"] - :returns: list that contains the indices of all lines with an impedance value of zero. + Return: + list that contains the indices of all lines with an impedance value of zero. """ # get function to run power flow run = partial(kwargs.pop("run", runpp), **kwargs) - check_results: list[dict] = [] - implausible_elements = {} + check_results: list[dict[Any, Any]] = [] + implausible_elements: dict[str, Any] = {} max_r_ohm = kwargs.pop("max_r_ohm", default_argument_values.get("max_r_ohm", None)) min_r_ohm = kwargs.pop("min_r_ohm", default_argument_values.get("min_r_ohm", None)) @@ -1284,72 +1505,65 @@ def diagnostic(self, net: pandapowerNet, **kwargs) -> list[dict] | None: if v is None: raise RuntimeError(f"missing default argument value: '{n}'") - line = net.line.loc[ - ( - (net.line.r_ohm_per_km * net.line.length_km >= max_r_ohm) - | (net.line.r_ohm_per_km * net.line.length_km <= min_r_ohm) - | (net.line.x_ohm_per_km * net.line.length_km >= max_x_ohm) - | (net.line.x_ohm_per_km * net.line.length_km <= min_x_ohm) - ) - & net.line.in_service - ].index - - xward = net.xward.loc[( - (net.xward.r_ohm.abs() >= max_r_ohm) - | (net.xward.r_ohm.abs() <= min_r_ohm) - | (net.xward.x_ohm.abs() >= max_x_ohm) - | (net.xward.x_ohm.abs() <= min_x_ohm) - ) & net.xward.in_service - ].index - - impedance = net.impedance.loc[( - (np.abs(net.impedance.rft_pu) >= max_r_ohm / zb_f_ohm) - | (np.abs(net.impedance.rft_pu) <= min_r_ohm / zb_f_ohm) - | (np.abs(net.impedance.xft_pu) >= max_x_ohm / zb_f_ohm) - | (np.abs(net.impedance.xft_pu) <= min_x_ohm / zb_f_ohm) - | (np.abs(net.impedance.rtf_pu) >= max_r_ohm / zb_t_ohm) - | (np.abs(net.impedance.rtf_pu) <= min_r_ohm / zb_t_ohm) - | (np.abs(net.impedance.xtf_pu) >= max_x_ohm / zb_t_ohm) - | (np.abs(net.impedance.xtf_pu) <= min_x_ohm / zb_t_ohm) - ) & net.impedance.in_service].index - - trafo = net.trafo.loc[(( - (net.trafo.vk_percent / 100 * np.square(net.trafo.vn_hv_kv) / net.trafo.sn_mva >= max_x_ohm) - | (net.trafo.vk_percent / 100 * np.square(net.trafo.vn_lv_kv) / net.trafo.sn_mva <= min_x_ohm) - ) & net.trafo.in_service)].index - - trafo3w = net.trafo3w.loc[(( - (net.trafo3w.vk_hv_percent / 100 * np.square(net.trafo3w.vn_hv_kv) / net.trafo3w.sn_hv_mva >= max_x_ohm) - | (net.trafo3w.vk_hv_percent / 100 * np.square(net.trafo3w.vn_mv_kv) / net.trafo3w.sn_hv_mva <= min_x_ohm) - | (net.trafo3w.vk_mv_percent / 100 * np.square(net.trafo3w.vn_mv_kv) / net.trafo3w.sn_mv_mva >= max_x_ohm) - | (net.trafo3w.vk_mv_percent / 100 * np.square(net.trafo3w.vn_lv_kv) / net.trafo3w.sn_mv_mva <= min_x_ohm) - | (net.trafo3w.vk_lv_percent / 100 * np.square(net.trafo3w.vn_hv_kv) / net.trafo3w.sn_lv_mva >= max_x_ohm) - | (net.trafo3w.vk_lv_percent / 100 * np.square(net.trafo3w.vn_lv_kv) / net.trafo3w.sn_lv_mva <= min_x_ohm) - ) & net.trafo3w.in_service)].index - - vsc = net.vsc.loc[ - ((net.vsc.r_ohm <= min_r_ohm) | (net.vsc.x_ohm <= min_x_ohm) | (net.vsc.r_dc_ohm <= min_r_ohm)) - & net.vsc.in_service - ].index - - line_dc = net.line_dc.loc[( - (net.line_dc.r_ohm_per_km * net.line_dc.length_km) <= min_r_ohm - ) & net.line_dc.in_service].index - - if len(line) > 0: - implausible_elements["line"] = list(line) - if len(xward) > 0: - implausible_elements["xward"] = list(xward) - if len(impedance) > 0: - implausible_elements["impedance"] = list(impedance) - if len(trafo) > 0: - implausible_elements["trafo"] = list(trafo) - if len(trafo3w) > 0: - implausible_elements["trafo3w"] = list(trafo3w) - if len(vsc) > 0: - implausible_elements["vsc"] = list(vsc) - if len(line_dc) > 0: - implausible_elements["line_dc"] = list(line_dc) + elements: dict[str, Any] = { + "line": net.line.loc[( + (net.line.r_ohm_per_km * net.line.length_km >= max_r_ohm) + | (net.line.r_ohm_per_km * net.line.length_km <= min_r_ohm) + | (net.line.x_ohm_per_km * net.line.length_km >= max_x_ohm) + | (net.line.x_ohm_per_km * net.line.length_km <= min_x_ohm) + ) & net.line.in_service + ].index, + "xward": net.xward.loc[( + (net.xward.r_ohm.abs() >= max_r_ohm) + | (net.xward.r_ohm.abs() <= min_r_ohm) + | (net.xward.x_ohm.abs() >= max_x_ohm) + | (net.xward.x_ohm.abs() <= min_x_ohm) + ) & net.xward.in_service + ].index, + "impedance": net.impedance.loc[( + (np.abs(net.impedance.rft_pu) >= max_r_ohm / zb_f_ohm) + | (np.abs(net.impedance.rft_pu) <= min_r_ohm / zb_f_ohm) + | (np.abs(net.impedance.xft_pu) >= max_x_ohm / zb_f_ohm) + | (np.abs(net.impedance.xft_pu) <= min_x_ohm / zb_f_ohm) + | (np.abs(net.impedance.rtf_pu) >= max_r_ohm / zb_t_ohm) + | (np.abs(net.impedance.rtf_pu) <= min_r_ohm / zb_t_ohm) + | (np.abs(net.impedance.xtf_pu) >= max_x_ohm / zb_t_ohm) + | (np.abs(net.impedance.xtf_pu) <= min_x_ohm / zb_t_ohm) + ) & net.impedance.in_service].index, + "trafo": net.trafo.loc[(( + (net.trafo.vk_percent / 100 * np.square(net.trafo.vn_hv_kv) / net.trafo.sn_mva >= max_x_ohm) + | (net.trafo.vk_percent / 100 * np.square(net.trafo.vn_lv_kv) / net.trafo.sn_mva <= min_x_ohm) + ) & net.trafo.in_service)].index, + "trafo3w": net.trafo3w.loc[(( + (net.trafo3w.vk_hv_percent / 100 * np.square(net.trafo3w.vn_hv_kv) / net.trafo3w.sn_hv_mva >= max_x_ohm) + | (net.trafo3w.vk_hv_percent + / 100 * np.square(net.trafo3w.vn_mv_kv) + / net.trafo3w.sn_hv_mva <= min_x_ohm) + | (net.trafo3w.vk_mv_percent + / 100 * np.square(net.trafo3w.vn_mv_kv) + / net.trafo3w.sn_mv_mva >= max_x_ohm) + | (net.trafo3w.vk_mv_percent + / 100 * np.square(net.trafo3w.vn_lv_kv) + / net.trafo3w.sn_mv_mva <= min_x_ohm) + | (net.trafo3w.vk_lv_percent + / 100 * np.square(net.trafo3w.vn_hv_kv) + / net.trafo3w.sn_lv_mva >= max_x_ohm) + | (net.trafo3w.vk_lv_percent + / 100 * np.square(net.trafo3w.vn_lv_kv) + / net.trafo3w.sn_lv_mva <= min_x_ohm) + ) & net.trafo3w.in_service)].index, + "vsc": net.vsc.loc[ + ((net.vsc.r_ohm <= min_r_ohm) | (net.vsc.x_ohm <= min_x_ohm) | (net.vsc.r_dc_ohm <= min_r_ohm)) + & net.vsc.in_service + ].index, + "line_dc": net.line_dc.loc[( + (net.line_dc.r_ohm_per_km * net.line_dc.length_km) <= min_r_ohm + ) & net.line_dc.in_service].index + } + + for element_name, element_index in elements.items(): + if len(element_index) > 0: + implausible_elements[element_name] = list(element_index) check_results.append(implausible_elements) # checks if loadflow converges when implausible lines or impedances are replaced by switches @@ -1419,7 +1633,9 @@ def diagnostic(self, net: pandapowerNet, **kwargs) -> list[dict] | None: def report(self, error: Exception | None, results: list[dict] | None) -> None: # error and success checks if error is not None: - self.out.warning("Check for elements with impedance values close to zero failed due to the following error:") + self.out.warning( + "Check for elements with impedance values close to zero failed due to the following error:" + ) self.out.warning(error) return if results is None: @@ -1474,19 +1690,21 @@ def __init__(self) -> None: def diagnostic(self, net: pandapowerNet, **kwargs) -> dict | None: """ - :param pandapowerNet net: pandapower network + Parameters: + net: pandapower network - :returns: dict that contains all components whose nominal voltages - differ from the nominal voltages of the buses they're - connected to. - Format: - {trafo': {'hv_bus' : trafos_indices, - 'lv_bus' : trafo_indices, - 'hv_lv_swapped' : trafo_indices}, - trafo3w': {'hv_bus' : trafos3w_indices, - 'mv_bus' : trafos3w_indices - 'lv_bus' : trafo3w_indices, - 'connectors_swapped_3w' : trafo3w_indices}} + Return: + dict that contains all components whose nominal voltages + differ from the nominal voltages of the buses they're + connected to. + Format: + {trafo': {'hv_bus' : trafos_indices, + 'lv_bus' : trafo_indices, + 'hv_lv_swapped' : trafo_indices}, + trafo3w': {'hv_bus' : trafos3w_indices, + 'mv_bus' : trafos3w_indices + 'lv_bus' : trafo3w_indices, + 'connectors_swapped_3w' : trafo3w_indices}} """ self.net = net results = {} @@ -1793,15 +2011,12 @@ def __init__(self) -> None: def diagnostic(self, net: pandapowerNet, **kwargs) -> dict | None: """ - Parameters: net: pandapower network Returns: - check_results: dict that contains the indices of all components where the usage of the wrong reference - system was found. + dict that contains the indices of all components where the usage of the wrong reference system was found. Format: {'element_type': element_indices} - """ self.net = net check_results = {} @@ -1837,7 +2052,8 @@ def report(self, error: Exception | None, results: dict | None) -> None: for element_type in results: self.out.compact(f"{element_type} {results[element_type]}: wrong reference system.") for element in results[element_type]: - _element_type: str = element_type[:-1] # remove s at end (element_type can be 'loads', 'gens' or 'sgens' + # remove s at end (element_type can be 'loads', 'gens' or 'sgens' + _element_type: str = element_type[:-1] element_name = self.net[_element_type].name.at[element] element_p_mw = self.net[_element_type].p_mw.at[element] self.out.detailed( @@ -1874,6 +2090,7 @@ def diagnostic(self, net: pandapowerNet, **kwargs) -> dict | None: """ Parameters: net: pandapower network + Keyword Arguments: Any: Keyword arguments for power flow function. If "run" is in kwargs the default call to runpp() is replaced by the function kwargs["run"] @@ -1884,7 +2101,7 @@ def diagnostic(self, net: pandapowerNet, **kwargs) -> dict | None: if numba_tolerance is None: raise RuntimeError("missing default argument value for 'numba_tolerance'") run = partial(kwargs.pop("run", runpp), **kwargs) - check_results: dict = {} + check_results: dict[Any, Any] = {} run(net, numba=True) result_numba_true = copy.deepcopy(net) run(net, numba=False) @@ -1948,7 +2165,7 @@ def diagnostic(self, net: pandapowerNet, **kwargs) -> dict[str, dict] | None: All elements, that don't match the values in the standard type library Format: (element_type, element_index, parameter) """ - check_results: dict[str, dict] = defaultdict(dict) + check_results: dict[str, dict[Any, Any]] = defaultdict(dict) for key, std_types in net.std_types.items(): if key not in net or "std_type" not in net[key]: continue @@ -2014,13 +2231,11 @@ class ParallelSwitches(DiagnosticFunction[pandapowerNet, list[list]]): """ def diagnostic(self, net: pandapowerNet, **kwargs) -> list[list] | None: """ - Parameters: net: pandapower network Returns: List of lists each containing parallel switches. - """ found_parallel_switches = [] compare_parameters = ["bus", "element", "et"] @@ -2052,7 +2267,7 @@ def report(self, error: Exception | None, results: list[list] | None) -> None: # (name in result_dict, instance of class, list of arguments: None = all kwargs / [] = no arguments) -default_diagnostic_functions: list[tuple[str, DiagnosticFunction, list[str] | None]] = [ +default_diagnostic_functions: list[tuple[str, DiagnosticFunction[Any, Any], list[str] | None]] = [ ("missing_bus_indices", MissingBusIndices(), []), ("disconnected_elements", DisconnectedElements(), []), ("different_voltage_levels_connected", DifferentVoltageLevelsConnected(), []), diff --git a/pandapower/diagnostic/diagnostic_helpers.py b/pandapower/diagnostic/diagnostic_helpers.py index 4b48b4b211..16b78e117e 100644 --- a/pandapower/diagnostic/diagnostic_helpers.py +++ b/pandapower/diagnostic/diagnostic_helpers.py @@ -1,12 +1,17 @@ # Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved. +""" +A module containing helper functions for the diagnostic functions and creating custom diagnostic functions +""" + import logging from typing import Generic, TypeVar, Literal from abc import abstractmethod, ABC from collections import defaultdict import numpy as np +import pandas as pd from pandapower.network import ADict, pandapowerNet @@ -18,8 +23,9 @@ def add_log_level(levelno: int, levelname: str) -> None: """ add a custom log level to the logger - :param levelno: int number for the level - :param levelname: name for the level + Parameters: + levelno: int number for the level + levelname: name for the level """ def log_for_level(self, message, *args, **kwargs): @@ -43,18 +49,18 @@ class DiagnosticFunction(ABC, Generic[N, T]): """ A meta class for creating custom Diagnostic Functions that can be executed with the pandapower Diagnostic API. """ - def __init__(self): + def __init__(self) -> None: self.out = logger @abstractmethod def diagnostic(self, net: N, **kwargs) -> T | None: """ A diagnostic method that should be run on the network. - + Parameters: net: the network to run it on kwargs: any kwargs passed to diagnose_network - + Returns: the diagnostic result or None if successful """ @@ -64,35 +70,36 @@ def diagnostic(self, net: N, **kwargs) -> T | None: def report(self, error: Exception | None, results: T | None) -> None: """ A method to generate a report for the result of diagnostic. - + Parameters: error: when the diagnostic encountered an error it will be passed here results: when the diagnostic produced an output it will be passed here The first lines should always check if an error occurred or there are no results - - >>> # error and success checks - >>> if error is not None: - >>> self.out.warning("Check for < > failed due to the following error:") - >>> self.out.warning(error) - >>> return - >>> if results is None: - >>> self.out.info("PASSED: < > successful.") - >>> return - >>> # message header - >>> ... - >>> # message body - >>> ... - >>> # message summary + + >>> def report(self, error: Exception | None, results: str | None) + >>> # error and success checks + >>> if error is not None: + >>> self.out.warning("Check for < > failed due to the following error:") + >>> self.out.warning(error) + >>> return + >>> if results is None: + >>> self.out.info("PASSED: < > successful.") + >>> return + >>> # message header + >>> ... + >>> # message body + >>> ... + >>> # message summary There are additional levels defined for the `self.out` logger. - + >>> self.out.detailed - + and - + >>> self.out.compact - + These will only print in the resepctive reports. Use info if the message should only show when warnings_only is False. Use warning if the message should always be shown. @@ -157,22 +164,18 @@ def check_greater_equal_zero(element, element_index, column): return element_index -def check_greater_zero(element, element_index, column): +def check_greater_zero(element: pd.Series, element_index: int, column: str) -> int: """ functions that check, if a certain input type restriction for attribute values of a pandapower elements are fulfilled. Exemplary description for all type check functions. - INPUT: - **element (pandas.Series)** - pandapower element instance (e.g. net.bus.loc[1]) - - **element_index (int)** - index of the element instance - - **column (string)** - element attribute (e.g. 'vn_kv') - + Parameters: + element: pandapower element instance (e.g. net.bus.loc[1]) + element_index: index of the element instance + column: element attribute (e.g. 'vn_kv') - OUTPUT: - **element_index (index)** - index of element instance, if input type restriction is not - fulfilled + Return: + index of element instance, if input type restriction is not fulfilled """ if check_number(element, element_index, column) is None: if element[column] <= 0: @@ -253,59 +256,3 @@ def check_vkr_larger(element, element_index, column): except TypeError: return element_index return None - - - - -def diagnostic( - net: pandapowerNet, - report_style: Literal['compact', 'detailed'] | None = 'detailed', - warnings_only: bool = False, - return_result_dict: bool = True, - overload_scaling_factor: float = 0.001, - lines_min_length_km: float = 0., - lines_min_z_ohm: float = 0., - nom_voltage_tolerance: float = 0.3, - **kwargs -): - """ - Tool for diagnosis of pandapower networks. Identifies possible reasons for non converging loadflows. - - Parameters: - net: A pandapower network - report_style: style of the report, that gets ouput in the console - 'detailed': full report with high level of additional descriptions - 'compact' : more compact report, containing essential information only - 'None' : no report - warnings_only: Filters logging output for warnings - True: logging output for errors only - False: logging output for all checks, regardless if errors were found or not - return_result_dict: returns a dictionary containing all check results - True: returns dict with all check results - False: no result dict - overload_scaling_factor: downscaling factor for loads and generation for overload check - lines_min_length_km: minimum length_km allowed for lines - lines_min_z_ohm: minimum z_ohm allowed for lines - nom_voltage_tolerance** (float, 0.3): highest allowed relative deviation between nominal voltages and bus - voltages - - Keyword Arguments: - Any: Keyword arguments for the power flow function to use during tests. If "run" is in kwargs the default call to - runpp() is replaced by the function kwargs["run"] - - Returns: - dict that contains the indices of all elements where errors were found - Format: {'check_name': check_results} - - Example: - >>> from pandapower.diagnostic.diagnostic_helpers import diagnostic - >>> diagnostic(net, report_style='compact', warnings_only=True) - - """ - from pandapower.diagnostic.diagnostic import Diagnostic - d = Diagnostic() - kwargs['overload_scaling_factor'] = overload_scaling_factor - kwargs['lines_min_length_km'] = lines_min_length_km - kwargs['nom_voltage_tolerance'] = nom_voltage_tolerance - kwargs['lines_min_z_ohm'] = lines_min_z_ohm - return d.diagnose_network(net, report_style, warnings_only, return_result_dict, **kwargs) diff --git a/pandapower/groups.py b/pandapower/groups.py index 3608947706..4acec2e695 100644 --- a/pandapower/groups.py +++ b/pandapower/groups.py @@ -20,9 +20,8 @@ import pandas.testing as pdt from pandapower.auxiliary import ensure_iterability, log_to_level -from pandapower.create import ( - _group_parameter_list, _set_multiple_entries, _check_elements_existence, create_group -) +from pandapower.create import create_group +from pandapower.create.utils import _group_parameter_list, _check_elements_existence, _set_multiple_entries from pandapower.toolbox.power_factor import signing_system_value from pandapower.toolbox.element_selection import ( branch_element_bus_dict, element_bus_tuples, pp_elements, get_connected_elements_dict diff --git a/pandapower/networks/facts_case_study_grid.py b/pandapower/networks/facts_case_study_grid.py new file mode 100644 index 0000000000..a9d30a6d22 --- /dev/null +++ b/pandapower/networks/facts_case_study_grid.py @@ -0,0 +1,61 @@ +from pandapower.create import ( + create_empty_network, + create_bus, + create_ext_grid, + create_line_from_parameters, + create_transformer_from_parameters, + create_gen, + create_load +) + +def facts_case_study_grid(): + net = create_empty_network() + + b1 = create_bus(net, name="B1", vn_kv=18) + b2 = create_bus(net, name="B2", vn_kv=16.5) + b3 = create_bus(net, name="B3", vn_kv=230) + b4 = create_bus(net, name="B4", vn_kv=230) + b5 = create_bus(net, name="B5", vn_kv=230) + b6 = create_bus(net, name="B6", vn_kv=230) + b7 = create_bus(net, name="B7", vn_kv=230) + b8 = create_bus(net, name="B8", vn_kv=230) + + create_ext_grid(net, bus=b1, vm_pu=1, va_degree=0) + + create_line_from_parameters(net, name="L1", from_bus=b3, to_bus=b4, length_km=30, r_ohm_per_km=0.049, + x_ohm_per_km=0.136, g_us_per_km=0, c_nf_per_km=142, max_i_ka=1.5) + create_line_from_parameters(net, name="L2", from_bus=b3, to_bus=b4, length_km=30, r_ohm_per_km=0.049, + x_ohm_per_km=0.136, g_us_per_km=0, c_nf_per_km=142, max_i_ka=1.5) + create_line_from_parameters(net, name="L3", from_bus=b4, to_bus=b5, length_km=100, r_ohm_per_km=0.081, + x_ohm_per_km=0.312, g_us_per_km=0, c_nf_per_km=11, max_i_ka=1.5) + create_line_from_parameters(net, name="L4", from_bus=b4, to_bus=b6, length_km=100, r_ohm_per_km=0.081, + x_ohm_per_km=0.312, g_us_per_km=0, c_nf_per_km=11, max_i_ka=1.5) + create_line_from_parameters(net, name="L5", from_bus=b5, to_bus=b7, length_km=220, r_ohm_per_km=0.081, + x_ohm_per_km=0.312, g_us_per_km=0, c_nf_per_km=11, max_i_ka=1.5) + create_line_from_parameters(net, name="L6", from_bus=b6, to_bus=b8, length_km=140, r_ohm_per_km=0.081, + x_ohm_per_km=0.312, g_us_per_km=0, c_nf_per_km=11, max_i_ka=1.5) + create_line_from_parameters(net, name="L7", from_bus=b5, to_bus=b6, length_km=180, r_ohm_per_km=0.081, + x_ohm_per_km=0.312, g_us_per_km=0, c_nf_per_km=11, max_i_ka=1.5) + create_line_from_parameters(net, name="L8", from_bus=b7, to_bus=b8, length_km=180, r_ohm_per_km=0.081, + x_ohm_per_km=0.312, g_us_per_km=0, c_nf_per_km=11, max_i_ka=1.5) + + # create_line_from_parameters(net,name="L9",from_bus=3,to_bus=4,length_km=100, r_ohm_per_km=0.312, + # x_ohm_per_km=0.312,g_us_per_km=0,c_nf_per_km=11) + + create_transformer_from_parameters(net, name="trafo1", hv_bus=b8, lv_bus=b1, sn_mva=192, vn_hv_kv=230, + vn_lv_kv=18, vkr_percent=0, vector_group="Yy0", pfe_kw=0, vk_percent=12, + i0_percent=0) + create_transformer_from_parameters(net, name="trafo2", hv_bus=b3, lv_bus=b2, sn_mva=500, vn_hv_kv=230, + vn_lv_kv=16.5, vkr_percent=0, vector_group="Yy0", pfe_kw=0, vk_percent=16, + i0_percent=0) + + create_gen(net, bus=b2, p_mw=500, vm_pu=1) + # create_sgen(net,bus = 2, p_mw=500,name="WT") + # + create_load(net, bus=b4, p_mw=130, q_mvar=50) + create_load(net, bus=b5, p_mw=120, q_mvar=50) + create_load(net, bus=b6, p_mw=80, q_mvar=25) + create_load(net, bus=b7, p_mw=50, q_mvar=25) + + return net + diff --git a/pandapower/networks/simple_pandapower_test_networks.py b/pandapower/networks/simple_pandapower_test_networks.py index 467cda90e3..7b4917e4c7 100644 --- a/pandapower/networks/simple_pandapower_test_networks.py +++ b/pandapower/networks/simple_pandapower_test_networks.py @@ -1,10 +1,15 @@ # Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved. +import numpy as np + from pandapower import pandapowerNet +from pandapower.run import set_user_pf_options from pandapower.create import ( - create_bus, create_ext_grid, create_line, create_load, create_switch, create_sgen, create_transformer + create_bus, create_ext_grid, create_line, create_load, create_switch, create_sgen, create_transformer, + create_transformer_from_parameters, create_gen, create_buses ) +from pandapower.pf.create_jacobian_tdpf import ALPHA_TDPF def panda_four_load_branch(): @@ -188,3 +193,103 @@ def simple_mv_open_ring_net(): create_switch(net, bus=6, element=5, et='l') create_switch(net, bus=1, element=5, et='l') return net + + +def vde_232(): + net = pandapowerNet(name="vde_232", sn_mva=12) + # hv buses + create_bus(net, 110, geodata=(0, 0)) + create_bus(net, 21, geodata=(1, 0)) + + create_ext_grid(net, 0, s_sc_max_mva=13.61213 * 110 * np.sqrt(3), rx_max=0.20328, x0x_max=3.47927, + r0x0_max=3.03361 * 0.20328 / 3.47927) + create_transformer_from_parameters(net, 0, 1, 150, 115, 21, 0.5, 16, pfe_kw=0, i0_percent=0, tap_step_percent=1, + tap_max=12, tap_min=-12, tap_neutral=0, tap_side='hv', vector_group="YNd", + vk0_percent=np.sqrt(np.square(0.95 * 15.99219) + np.square(0.5)), + vkr0_percent=0.5, mag0_percent=10000, mag0_rx=0, si0_hv_partial=0.9, + pt_percent=12, + oltc=True, power_station_unit=True, xn_ohm=22, tap_changer_type="Ratio") + + create_gen(net, 1, 150, 1, 150, vn_kv=21, xdss_pu=0.14, rdss_ohm=0.002, cos_phi=0.85, power_station_trafo=0, + pg_percent=5) + + return net + + +def simplest_test_grid(generator_type, step_up_trafo=False): + net = pandapowerNet(name="simplest_test_grid", sn_mva=6) + if step_up_trafo: + b0 = create_bus(net, 20) + b1 = create_bus(net, 0.4) + create_transformer(net, b0, b1, "0.25 MVA 20/0.4 kV", parallel=10) + else: + b0 = b1 = create_bus(net, 20) + + create_ext_grid(net, b0, s_sc_max_mva=1e-12, rx_max=0) + if generator_type == "async_doubly_fed": + create_sgen(net, b1, 0, 0, 2.5, current_source=False, + generator_type=generator_type, max_ik_ka=0.388, kappa=1.7, rx=0.1) + elif generator_type == "current_source": + create_sgen(net, b1, 0, 0, 2.5, generator_type=generator_type, current_source=True, k=1.3, rx=0.1) + elif generator_type == "async": + create_sgen(net, b1, 0, 0, 2.5, generator_type=generator_type, current_source=False, rx=0.1, lrc_pu=5) + else: + raise NotImplementedError(f"unknown sgen generator type {generator_type}, can be one of " + f"'full_size_converter', 'async', 'async_doubly_fed'") + return net + + +def simple_test_grid(load_scaling=1., sgen_scaling=1., with_gen=False, distributed_slack=False): + s_base = 100 + + net = pandapowerNet(name="simple_test_grid", sn_mva=s_base) + std_type = "490-AL1/64-ST1A 110.0" + r = 0.059 + v_base = 132 + z_base = v_base ** 2 / s_base + + create_buses(net, 5, v_base, geodata=[(0, 1), (-1, 0.5), (0, 0), (1, 0.5), (0, 0.5)]) + + create_line(net, 0, 1, 0.84e-2 * z_base / r, std_type, name="1-2") + create_line(net, 0, 3, 0.84e-2 * z_base / r, std_type, name="1-4") + create_line(net, 1, 2, 0.67e-2 * z_base / r, std_type, name="2-3") + create_line(net, 1, 4, 0.42e-2 * z_base / r, std_type, name="2-5") + create_line(net, 2, 3, 0.67e-2 * z_base / r, std_type, name="3-4") + create_line(net, 3, 4, 0.42e-2 * z_base / r, std_type, name="4-5") + net.line.c_nf_per_km = 0 + + net.line["temperature_degree_celsius"] = 20 + net.line["reference_temperature_degree_celsius"] = 20 + net.line["air_temperature_degree_celsius"] = 35 + net.line["alpha"] = ALPHA_TDPF + net.line["conductor_outer_diameter_m"] = 30.6e-3 + net.line["mc_joule_per_m_k"] = 1490 + net.line["wind_speed_m_per_s"] = 0.6 + net.line["wind_angle_degree"] = 45 + net.line["solar_radiation_w_per_sq_m"] = 900 + net.line["solar_absorptivity"] = 0.5 + net.line["emissivity"] = 0.5 + net.line["tdpf"] = True + + create_ext_grid(net, 3, 1.05, name="G1") + create_sgen(net, 0, 200, scaling=sgen_scaling, name="R1") + create_sgen(net, 1, 250, scaling=sgen_scaling, name="R2") + if with_gen: + idx = create_gen(net, 2, 600, 1., scaling=sgen_scaling, name="G3") + create_gen(net, 4, 300, 1., scaling=sgen_scaling, name="G5") + else: + idx = create_sgen(net, 2, 600, scaling=sgen_scaling, name="G3") + create_sgen(net, 4, 300, scaling=sgen_scaling, name="G5") + + if distributed_slack: + if with_gen: # distributed slack is currently not supported for sgen. + net["gen"]["slack_weight"] = 0.0 + net["gen"].at[idx, 'slack_weight'] = 1 + set_user_pf_options(net, distributed_slack=True) + net.sn_mva = 1000 # otherwise numerical issues + + create_load(net, 1, 600, 240, scaling=load_scaling) + create_load(net, 3, 1000, 400, scaling=load_scaling) + create_load(net, 4, 400, 160, scaling=load_scaling) + + return net diff --git a/pandapower/plotting/collections.py b/pandapower/plotting/collections.py index 123212765e..0edd85be7c 100644 --- a/pandapower/plotting/collections.py +++ b/pandapower/plotting/collections.py @@ -7,15 +7,13 @@ import re import sys import math +import logging +from itertools import combinations +from typing_extensions import deprecated from typing import Callable, TYPE_CHECKING, Optional, Tuple, Literal import geojson import pandas as pd - -from itertools import combinations -from typing_extensions import deprecated - -import logging import numpy as np from pandas import isnull, Series, DataFrame @@ -1106,10 +1104,6 @@ def create_load_collection(net, loads=None, size=1., infofunc=None, orientation= Returns: patch collection, line collection """ - from pandapower.plotting.simple_plot import calculate_unique_angles - - # if unique_angles == None: - # unique_angles = calculate_unique_angles(net) loads = get_index_array(loads, net.load.index) infos = [infofunc(i) for i in range(len(loads))] if infofunc is not None else [] buses = net.load.loc[loads, "bus"].values diff --git a/pandapower/plotting/generic_geodata.py b/pandapower/plotting/generic_geodata.py index e6d7ff9bc9..56d41d0b32 100644 --- a/pandapower/plotting/generic_geodata.py +++ b/pandapower/plotting/generic_geodata.py @@ -12,7 +12,7 @@ import numpy as np from pandapower.auxiliary import pandapowerNet, soft_dependency_error -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.topology.create_graph import create_nxgraph from pandapower.topology.graph_searches import connected_components @@ -131,6 +131,7 @@ def _get_switch_mask(net, element, switch_element, open_switches): open_element_mask = np.isin(net[element].index, open_elements, invert=True) return open_element_mask + def coords_from_igraph( graph: "igraph.Graph", roots: Iterable, diff --git a/pandapower/plotting/plotting_toolbox.py b/pandapower/plotting/plotting_toolbox.py index cdc5ada02e..3490fefc91 100644 --- a/pandapower/plotting/plotting_toolbox.py +++ b/pandapower/plotting/plotting_toolbox.py @@ -248,7 +248,7 @@ def set_line_geodata_from_bus_geodata(net, line_index=None, overwrite=False, ign logger.info(f"failed to set coordinates of {num_failed} lines") -@deprecated("Use of busbar is not by bus_geodata anymore.") +@deprecated("Use of busbar is not supported by bus geo anymore.") def position_on_busbar(net, bus, busbar_coords): """ Checks if the first or the last coordinates of a line are on a bus diff --git a/pandapower/protection/utility_functions.py b/pandapower/protection/utility_functions.py index 3faf0e77ae..b646830f26 100644 --- a/pandapower/protection/utility_functions.py +++ b/pandapower/protection/utility_functions.py @@ -14,7 +14,7 @@ from pandapower import pandapowerNet from pandapower.topology.create_graph import create_nxgraph -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.create import create_bus, create_line_from_parameters from pandapower.plotting.collections import create_annotation_collection, create_line_collection, \ create_bus_collection, create_line_switch_collection, draw_collections, create_trafo_collection, \ diff --git a/pandapower/shortcircuit/toolbox.py b/pandapower/shortcircuit/toolbox.py index 71f46a2302..1f2ffcf52b 100644 --- a/pandapower/shortcircuit/toolbox.py +++ b/pandapower/shortcircuit/toolbox.py @@ -1,26 +1,26 @@ # Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved. -from pandapower.auxiliary import _preserve_dtypes -import logging +__all__ = ["detect_power_station_unit", "calc_sc_on_line"] -logger = logging.getLogger(__name__) +import logging import numpy as np import pandas as pd import networkx as nx from copy import deepcopy +from pandapower.auxiliary import _preserve_dtypes from pandapower.create import create_bus +from pandapower.create.utils import _get_index_with_check from pandapower.run import rundcpp from pandapower.topology.graph_searches import connected_component from pandapower.shortcircuit.calc_sc import calc_sc -from pandapower.create import _get_index_with_check from pandapower.topology import create_nxgraph from pandapower.pypower.idx_bus import BUS_I from pandapower.pypower.idx_brch import F_BUS, T_BUS, TAP -__all__ = ["detect_power_station_unit", "calc_sc_on_line"] +logger = logging.getLogger(__name__) def detect_power_station_unit(net, mode="auto", max_gen_voltage_kv=80, max_distance_km=0.01): diff --git a/pandapower/test/__init__.py b/pandapower/test/__init__.py deleted file mode 100644 index 0611f8b4b0..0000000000 --- a/pandapower/test/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -import os -from pandapower.__init__ import pp_dir - -test_path = os.path.join(pp_dir, 'test') -tutorials_path = os.path.join(os.path.dirname(pp_dir), 'tutorials') - -from pandapower.test.conftest import * -from pandapower.test.helper_functions import * -from pandapower.test.run_tests import * diff --git a/pandapower/test/api/test_opf_costfcn.py b/pandapower/test/api/test_opf_costfcn.py deleted file mode 100644 index 7ef8f1c1bd..0000000000 --- a/pandapower/test/api/test_opf_costfcn.py +++ /dev/null @@ -1,80 +0,0 @@ -from numpy import array -from numpy.testing import assert_allclose -from scipy.sparse import csr_matrix - -from pandapower.pypower.idx_cost import POLYNOMIAL -from pandapower.pypower.opf_costfcn import opf_costfcn - - -class SimpleOPFCostModel: - def __init__(self): - self.ppc = { - "baseMVA": 100.0, - "gen": array([[0.0]]), - "gencost": array([ - [POLYNOMIAL, 0.0, 0.0, 3.0, 0.1, 1.0, 0.0], - ]), - } - self.cost_params = { - "N": csr_matrix([[1.0, 2.0]]), - "Cw": array([3.0]), - "H": csr_matrix([[4.0]]), - "dd": array([1.0]), - "rh": array([0.0]), - "kk": array([0.0]), - "mm": array([1.0]), - } - self.vv = { - "i1": {"Pg": 0, "Qg": 1, "y": 2}, - "iN": {"Pg": 1, "Qg": 2, "y": 2}, - } - - def get_ppc(self): - return self.ppc - - def get_cost_params(self): - return self.cost_params - - def get_idx(self): - return self.vv, None, None, None - - def getN(self, element_type, name): - if element_type == "var" and name == "y": - return 0 - raise KeyError((element_type, name)) - - -def test_opf_costfcn_generalized_cost_hessian(): - om = SimpleOPFCostModel() - x = array([1.0, 0.5]) - - f, df, d2f = opf_costfcn(x, om, return_hessian=True) - - assert_allclose(f, 1114.0) - assert_allclose(df, array([2111.0, 22.0])) - assert_allclose( - d2f.toarray(), - array([ - [2004.0, 8.0], - [8.0, 16.0], - ]) - ) - - -def test_opf_costfcn_generalized_cost_hessian_with_none_H(): - om = SimpleOPFCostModel() - om.cost_params["H"] = None - - x = array([1.0, 0.5]) - - f, df, d2f = opf_costfcn(x, om, return_hessian=True) - - assert_allclose(f, 1106.0) - assert_allclose(df, array([2103.0, 6.0])) - assert_allclose( - d2f.toarray(), - array([ - [2000.0, 0.0], - [0.0, 0.0], - ]) - ) \ No newline at end of file diff --git a/pandapower/test/converter/test_from_opendss.py b/pandapower/test/converter/test_from_opendss.py deleted file mode 100644 index 7d5d980464..0000000000 --- a/pandapower/test/converter/test_from_opendss.py +++ /dev/null @@ -1,386 +0,0 @@ -# -*- coding: utf-8 -*- - -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -"""Unit tests for the OpenDSS -> pandapower converter (``from_opendss``). - -The fixtures are deterministic inline feeders written to a temporary ``.dss`` so -the tests need no external data. The main feeder is balanced (symmetric 3-phase -load, delta-wye transformer), so the balanced pandapower model reproduces the -OpenDSS per-bus voltage to a tight tolerance -- exactly what the positive-sequence -import promises for symmetric feeders. -""" - -import faulthandler - -import numpy as np -import pandas as pd -import pytest - -import pandapower as pp - -# pytest enables faulthandler by default, which on Windows intercepts a first-chance -# structured exception that OpenDSSDirect.py's native backend raises (and normally -# handles itself) during import -- see pandapower/converter/opendss/from_dss.py for -# the full explanation and https://github.com/dss-extensions/OpenDSSDirect.py/issues/148. -# Disable faulthandler for this pre-flight import check the same way, so it doesn't -# crash here before from_dss's own guarded import ever runs. -faulthandler_was_enabled = faulthandler.is_enabled() -faulthandler.disable() -try: - # OpenDSSDirect.py is an optional dependency; skip the whole module without it. - pytest.importorskip("opendssdirect") -finally: - if faulthandler_was_enabled: - faulthandler.enable() - -from pandapower.converter.opendss import from_opendss - -INLINE_FEEDER = """ -clear -new circuit.test basekv=12.47 pu=1.0 phases=3 bus1=sourcebus -new linecode.lc1 nphases=3 r1=0.1 x1=0.2 c1=3.0 units=km normamps=400 -new line.l1 bus1=sourcebus bus2=b1 linecode=lc1 length=1.0 units=km -new transformer.t1 phases=3 windings=2 xhl=5.0 -~ wdg=1 bus=b1 conn=delta kv=12.47 kva=500 %r=0.5 -~ wdg=2 bus=b2 conn=wye kv=0.48 kva=500 %r=0.5 -new line.l2 bus1=b2 bus2=b3 r1=0.05 x1=0.08 c1=0 length=0.2 units=km normamps=600 phases=3 -new load.load1 bus1=b3 phases=3 kv=0.48 kw=200 kvar=80 conn=wye -set voltagebases=[12.47, 0.48] -calcvoltagebases -solve -""" - - -# A center-tapped single-phase service transformer (OpenDSS phases=1 windings=3, -# two LV windings on the same secondary bus) -- the dominant SMART-DS element. -CENTER_TAPPED_FEEDER = """ -clear -new circuit.ct basekv=12.47 pu=1.0 phases=3 bus1=src -new line.l1 bus1=src bus2=mv r1=0.1 x1=0.2 c1=0 length=0.5 units=km phases=3 normamps=400 -new transformer.ct1 phases=1 windings=3 xhl=2.0 xlt=2.0 xht=1.3 -~ wdg=1 bus=mv.1 conn=wye kv=7.2 kva=25 %r=0.5 -~ wdg=2 bus=lv.1.0 conn=wye kv=0.12 kva=25 %r=1.0 -~ wdg=3 bus=lv.0.2 conn=wye kv=0.12 kva=25 %r=1.0 -new load.serv bus1=lv.1.2 phases=1 kv=0.24 kw=15 kvar=3 -set voltagebases=[12.47, 0.24, 0.12] -calcvoltagebases -solve -""" - - -@pytest.fixture -def feeder_path(tmp_path): - p = tmp_path / "inline.dss" - p.write_text(INLINE_FEEDER) - return str(p) - - -@pytest.fixture -def net(feeder_path): - return from_opendss(feeder_path) - - -@pytest.fixture -def center_tapped_net(tmp_path): - p = tmp_path / "ct.dss" - p.write_text(CENTER_TAPPED_FEEDER) - return from_opendss(str(p)) - - -# A European-style 4-wire (3 phase + explicit neutral) matrix LineCode with no -# phase-to-neutral coupling -- the pattern found in a real, independently sourced -# Portuguese LV network (Koirala et al., "Non-Synthetic European Low Voltage Test -# System", 2020) that exposed the bug this guards: OpenDSS's own Lines.R1()/X1() -# do not Kron-reduce the neutral out of a >3-conductor matrix LineCode, so they -# return neither the raw phase diagonal nor the correct sequence value. With zero -# mutual coupling the Kron reduction is a no-op, so the correct R1/X1 is exactly -# the declared phase self-impedance. -FOUR_WIRE_ZERO_MUTUAL_FEEDER = """ -clear -new circuit.zm basekv=0.4 pu=1.0 phases=3 bus1=a -new linecode.lc_zm nphases=4 baseFreq=50 units=km -~ rmatrix=[0.160263 | 0 0.160263 | 0 0 0.160263 | 0 0 0 0.230905] -~ xmatrix=[0.079 | 0 0.079 | 0 0 0.079 | 0 0 0 0.085] -new line.l1 bus1=a.1.2.3.4 bus2=b.1.2.3.4 phases=4 linecode=lc_zm length=4.34 units=m -new load.load1 bus1=b.1.2.3 phases=3 kv=0.4 kw=30 kvar=10 -set voltagebases=[0.4] -calcvoltagebases -solve -""" - -# Same 4-wire shape but with *asymmetric* phase-to-neutral mutual coupling, so a -# genuine Kron reduction changes the answer (unlike the zero-mutual case above, -# which is a no-op) -- this pins down that the reduction, not just a pass- -# through, is happening. Independently computed (numpy, not by hand): -# Zpp = [[.5,.1,.1],[.1,.5,.1],[.1,.1,.5]], Zpn = [.30,.05,.15]^T, Znn = .2 -# Zred = Zpp - Zpn @ inv(Znn) @ Znp ; R1 = mean(diag(Zred)) - mean(offdiag)/2 -# gives R1 = 0.3208333... (vs. 0.4 with no reduction, or 0.5 using the raw -# diagonal) -- three distinct values, so a wrong implementation can't pass by -# accident. xmatrix is R scaled by a constant 0.2 (not zero -- an all-zero -# reactance is a degenerate branch that fails pandapower's DC-initialization -# divide), which keeps X1 = 0.2 * R1 exactly and so is still hand-checkable. -FOUR_WIRE_ASYMMETRIC_FEEDER = """ -clear -new circuit.am basekv=0.4 pu=1.0 phases=3 bus1=a -new linecode.lc_am nphases=4 baseFreq=50 units=km -~ rmatrix=[0.5 | 0.1 0.5 | 0.1 0.1 0.5 | 0.30 0.05 0.15 0.2] -~ xmatrix=[0.1 | 0.02 0.1 | 0.02 0.02 0.1 | 0.06 0.01 0.03 0.04] -~ cmatrix=[0 | 0 0 | 0 0 0 | 0 0 0 0] -new line.l1 bus1=a.1.2.3.4 bus2=b.1.2.3.4 phases=4 linecode=lc_am length=1000 units=m -new load.load1 bus1=b.1.2.3 phases=3 kv=0.4 kw=30 kvar=10 -set voltagebases=[0.4] -calcvoltagebases -solve -""" - -# The bug above turned out not to be specific to >3-conductor/neutral lines at -# all: OpenDSS's Lines.R1()/X1()/C1() are stale symmetric-component fields for -# *any* matrix-defined (rmatrix=/xmatrix=) line, regardless of conductor count -# -- confirmed against OpenDSS's own source, and empirically against a plain -# 3-conductor matrix LineCode with no neutral at all (declares 0.868/0.077 -# ohm/km, R1()/X1() returned the hard-coded default 0.058/0.1206 instead). -THREE_WIRE_MATRIX_FEEDER = """ -clear -new circuit.tw basekv=0.4 pu=1.0 phases=3 bus1=a -new linecode.lc_tw nphases=3 baseFreq=50 units=km -~ rmatrix=[0.868 | 0.1 0.868 | 0.1 0.1 0.868] -~ xmatrix=[0.077 | 0.01 0.077 | 0.01 0.01 0.077] -new line.l1 bus1=a.1.2.3 bus2=b.1.2.3 phases=3 linecode=lc_tw length=1 units=km -new load.load1 bus1=b.1.2.3 phases=3 kv=0.4 kw=30 kvar=10 -set voltagebases=[0.4] -calcvoltagebases -solve -""" - -# A single-conductor matrix-defined lateral (the common SMART-DS/IEEE-test- -# feeder pattern for single-phase service drops) -- guards against the naive -# generalization of the Kron-reduction formula (self-avg over 3, mutual-avg -# over 6) misfiring when there are fewer than 3 conductors to average over. -ONE_WIRE_MATRIX_FEEDER = """ -clear -new circuit.ow basekv=0.4 pu=1.0 phases=3 bus1=src -new line.lmain bus1=src bus2=a phases=3 r1=0.1 x1=0.2 c1=0 length=0.5 units=km normamps=400 -new linecode.lc_ow nphases=1 baseFreq=50 units=km -~ rmatrix=[0.868] -~ xmatrix=[0.077] -new line.l1 bus1=a.1 bus2=b.1 phases=1 linecode=lc_ow length=1 units=km -new load.load1 bus1=b.1 phases=1 kv=0.231 kw=5 kvar=2 -set voltagebases=[0.4] -calcvoltagebases -solve -""" - - -@pytest.fixture -def four_wire_zero_mutual_net(tmp_path): - p = tmp_path / "zm.dss" - p.write_text(FOUR_WIRE_ZERO_MUTUAL_FEEDER) - return from_opendss(str(p)) - - -@pytest.fixture -def four_wire_asymmetric_net(tmp_path): - p = tmp_path / "am.dss" - p.write_text(FOUR_WIRE_ASYMMETRIC_FEEDER) - return from_opendss(str(p)) - - -@pytest.fixture -def three_wire_matrix_net(tmp_path): - p = tmp_path / "tw.dss" - p.write_text(THREE_WIRE_MATRIX_FEEDER) - return from_opendss(str(p)) - - -@pytest.fixture -def one_wire_matrix_net(tmp_path): - p = tmp_path / "ow.dss" - p.write_text(ONE_WIRE_MATRIX_FEEDER) - return from_opendss(str(p)) - - -# A series Reactor bridging sourcebus to the rest of the feeder -- some feeder -# libraries (e.g. EPRI's Ckt5/Ckt7) model the substation's Thevenin-equivalent -# source impedance this way rather than as a Transformer. A shunt reactor -# (single bus, to ground) is a different element and must be skipped, not -# misread as a second bus-to-bus branch. -REACTOR_FEEDER = """ -clear -new circuit.rx basekv=12.47 pu=1.05 phases=3 bus1=sourcebus -new reactor.subrx bus1=sourcebus bus2=head phases=3 r=0.01 x=5.0 -new reactor.shuntrx bus1=head phases=3 kvar=100 -new line.l1 bus1=head bus2=b1 r1=0.1 x1=0.2 c1=0 length=1.0 units=km normamps=400 phases=3 -new load.load1 bus1=b1 phases=3 kv=12.47 kw=500 kvar=150 -set voltagebases=[12.47] -calcvoltagebases -solve -""" - - -@pytest.fixture -def reactor_net(tmp_path): - p = tmp_path / "rx.dss" - p.write_text(REACTOR_FEEDER) - return from_opendss(str(p)) - - -def test_element_counts(net): - assert len(net.bus) == 4 # sourcebus, b1, b2, b3 - assert len(net.line) == 2 # l1, l2 - assert len(net.trafo) == 1 # t1 - assert len(net.load) == 1 # load1 - assert len(net.ext_grid) == 1 # Vsource - assert net["opendss_import"]["warnings"] == [] - - -def test_bus_voltage_bases_are_line_to_line(net): - vn = dict(zip(net.bus["name"].str.lower(), net.bus["vn_kv"])) - assert vn["sourcebus"] == pytest.approx(12.47, rel=1e-6) - assert vn["b1"] == pytest.approx(12.47, rel=1e-6) - assert vn["b2"] == pytest.approx(0.48, rel=1e-6) - assert vn["b3"] == pytest.approx(0.48, rel=1e-6) - - -def test_linecode_captured_as_std_type(net): - # l1 references LineCode lc1 -> its name is carried through as std_type; - # l2 sets R1/X1 inline (no LineCode) -> std_type stays unset. - std = dict(zip(net.line["name"], net.line["std_type"])) - assert std["l1"] == "lc1" - assert pd.isna(std["l2"]) - - -def test_total_series_resistance_matches_opendss(net): - # OpenDSS: l1 = 0.1 ohm/km * 1.0 km, l2 = 0.05 ohm/km * 0.2 km -> 0.11 ohm. - total_r = float((net.line["r_ohm_per_km"] * net.line["length_km"]).sum()) - assert total_r == pytest.approx(0.11, rel=0.02) - - -def test_transformer_impedance(net): - t = net.trafo.iloc[0] - assert t["vn_hv_kv"] == pytest.approx(12.47) - assert t["vn_lv_kv"] == pytest.approx(0.48) - assert t["sn_mva"] == pytest.approx(0.5) - assert t["vkr_percent"] == pytest.approx(1.0, rel=1e-6) # 0.5 + 0.5 - assert t["vk_percent"] == pytest.approx(np.hypot(1.0, 5.0), rel=1e-6) - - -def test_runpp_converges(net): - pp.runpp(net) - assert net["converged"] - - -def test_center_tapped_transformer_collapsed_to_two_winding(center_tapped_net): - # the 3-winding center-tapped service transformer must be imported (not - # skipped) as a single 2-winding equivalent, flagged as split-phase. - assert len(center_tapped_net.trafo) == 1 - assert center_tapped_net["opendss_import"]["n_split_phase_transformers"] == 1 - assert len(center_tapped_net.load) == 1 - - -def test_center_tapped_feeder_converges(center_tapped_net): - pp.runpp(center_tapped_net) - assert center_tapped_net["converged"] - - -def test_roundtrip_voltage_matches_opendss(net): - pp.runpp(net) - odss = net["opendss_import"]["vm_pu_opendss"] - diffs = [ - abs(odss[row["name"].lower()] - net.res_bus.vm_pu[idx]) - for idx, row in net.bus.iterrows() - if row["name"].lower() in odss - ] - # balanced feeder -> agreement to well under 0.1 pp (1e-3 pu) - assert np.mean(diffs) < 1e-3 - assert np.max(diffs) < 1e-3 - - -def test_four_wire_zero_mutual_matches_declared_conductor(four_wire_zero_mutual_net): - # Zero phase-to-neutral coupling -> Kron reduction is a no-op, so the correct - # R1/X1 is exactly the declared phase self-impedance (0.160263 / 0.079 ohm/km). - # Regression guard for the bug where OpenDSS's own Lines.R1()/X1() returned - # 0.058/0.1206 ohm/km instead -- neither the declared value nor anything - # physically derivable from it. - line = four_wire_zero_mutual_net.line.iloc[0] - assert line["r_ohm_per_km"] == pytest.approx(0.160263, rel=1e-4) - assert line["x_ohm_per_km"] == pytest.approx(0.079, rel=1e-4) - assert line["length_km"] == pytest.approx(4.34e-3, rel=1e-6) - - -def test_four_wire_asymmetric_neutral_is_kron_reduced(four_wire_asymmetric_net): - # Asymmetric phase-to-neutral coupling: a genuine reduction changes the - # answer, so this can't pass via a pass-through/no-op implementation. - line = four_wire_asymmetric_net.line.iloc[0] - assert line["r_ohm_per_km"] == pytest.approx(0.3208333, rel=1e-4) - # must differ from both the un-reduced diagonal (0.5) and the naive - # self-minus-mutual computed while ignoring the neutral row/column (0.4) - assert line["r_ohm_per_km"] != pytest.approx(0.5, rel=1e-3) - assert line["r_ohm_per_km"] != pytest.approx(0.4, rel=1e-3) - assert line["x_ohm_per_km"] == pytest.approx(0.0641667, rel=1e-4) - - -def test_four_wire_feeders_converge(four_wire_zero_mutual_net, four_wire_asymmetric_net): - pp.runpp(four_wire_zero_mutual_net) - assert four_wire_zero_mutual_net["converged"] - pp.runpp(four_wire_asymmetric_net) - assert four_wire_asymmetric_net["converged"] - - -def test_three_wire_matrix_matches_declared_conductor(three_wire_matrix_net): - # The bug wasn't neutral-specific: a plain 3-conductor matrix LineCode (no - # neutral at all) also got the hard-coded 0.058/0.1206 default through - # Lines.R1()/X1(). Expected R1/X1 = self-avg - mutual-avg = 0.868-0.1, - # 0.077-0.01 (independently computed, not hand-picked to match a bug). - line = three_wire_matrix_net.line.iloc[0] - assert line["r_ohm_per_km"] == pytest.approx(0.768, rel=1e-4) - assert line["x_ohm_per_km"] == pytest.approx(0.067, rel=1e-4) - - -def test_one_wire_matrix_matches_declared_conductor(one_wire_matrix_net): - # A single-conductor matrix lateral (SMART-DS/IEEE-test-feeder style): - # guards the Kron-reduction formula's self/mutual averaging against - # misfiring when there are fewer than 3 conductors to average over (no - # mutual term exists at all here, so R1/X1 must equal the single declared - # self-impedance exactly, not that value divided by 3). - line = one_wire_matrix_net.line.iloc[-1] # l1, the single-phase lateral - assert line["r_ohm_per_km"] == pytest.approx(0.868, rel=1e-4) - assert line["x_ohm_per_km"] == pytest.approx(0.077, rel=1e-4) - - -def test_three_and_one_wire_matrix_feeders_converge(three_wire_matrix_net, one_wire_matrix_net): - pp.runpp(three_wire_matrix_net) - assert three_wire_matrix_net["converged"] - pp.runpp(one_wire_matrix_net) - assert one_wire_matrix_net["converged"] - - -def test_series_reactor_imported_as_a_branch(reactor_net): - # subrx bridges sourcebus->head; one series reactor -> one extra line - # (l1 is the only OTHER line), and the shunt reactor must not add a second. - assert reactor_net["opendss_import"]["n_reactors"] == 1 - assert len(reactor_net.line) == 2 # l1 + the series reactor's branch - reactor_line = reactor_net.line[reactor_net.line["name"] == "subrx"].iloc[0] - assert reactor_line["r_ohm_per_km"] == pytest.approx(0.01, rel=1e-6) - assert reactor_line["x_ohm_per_km"] == pytest.approx(5.0, rel=1e-6) - - -def test_shunt_reactor_is_skipped_not_misread_as_a_branch(reactor_net): - warnings = reactor_net["opendss_import"]["warnings"] - assert any("shuntrx" in w and "shunt" in w for w in warnings) - - -def test_reactor_feeder_reaches_every_bus(reactor_net): - import pandapower.topology as top - - assert top.unsupplied_buses(reactor_net) == set() - - -def test_reactor_feeder_converges_with_real_voltage_drop(reactor_net): - pp.runpp(reactor_net) - assert reactor_net["converged"] - # without the series reactor, every bus would stay at exactly the source's - # 1.05 pu (no power flowing past sourcebus) -- guard against that regression. - assert reactor_net.res_bus.vm_pu.nunique() > 1 - assert reactor_net.res_bus.vm_pu.min() < 1.05 diff --git a/pandapower/test/loadflow/test_runpp_helm.py b/pandapower/test/loadflow/test_runpp_helm.py deleted file mode 100644 index 5820b9391b..0000000000 --- a/pandapower/test/loadflow/test_runpp_helm.py +++ /dev/null @@ -1,119 +0,0 @@ -# Copyright (c) 2016-2025 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -""" -Tests for the optional HELM (Holomorphic Embedding Load flow Method) solver, provided by -the external HELMpy package and selectable via ``pp.runpp(net, algorithm='helm')``. - -All tests are skipped (not failed) when HELMpy is not installed, so HELM stays optional. -The HELM results are compared against Newton-Raphson, which is treated as the reference. -""" - -import numpy as np -import pytest - -import pandapower as pp -import pandapower.networks as nw -from pandapower.powerflow import LoadflowNotConverged - -try: - from helmpy.core import helm # type: ignore[import-not-found, import-untyped] - helmpy_available = True -except ImportError: - helmpy_available = False - -pytestmark = pytest.mark.skipif(not helmpy_available, reason="HELMpy is not installed") - -# HELM converges to its internal mismatch (1e-8); voltages match NR to ~1e-6, derived -# quantities (powers in MW/MVAr) to ~1e-2. Use tolerances that comfortably cover this. -VM_ATOL = 1e-5 -VA_ATOL = 1e-2 -P_ATOL = 1e-1 - - -def _distributed_slack_grid(): - """case14 with user-defined slack weights on the ext_grid and the gens, so the - distributed-slack imbalance is split by slack_weight rather than by generation. - - Tiny hand-built grids are avoided here because HELM converges in very few power-series - terms on trivial networks, which makes the Pade approximant ill-conditioned; the - standard MATPOWER cases give a robust, non-trivial test. - """ - net = nw.case14() - net.ext_grid["slack_weight"] = 2.0 - net.gen["slack_weight"] = 1.0 - return net - - -def _run_both(net_factory, **kwargs): - """Run NR and HELM on fresh copies of the net and return (net_nr, net_helm).""" - net_nr = net_factory() - net_helm = net_factory() - pp.runpp(net_nr, algorithm='nr', **kwargs) - pp.runpp(net_helm, algorithm='helm', **kwargs) - return net_nr, net_helm - - -def _assert_bus_parity(net_nr, net_helm): - assert np.allclose(net_helm.res_bus.vm_pu, net_nr.res_bus.vm_pu, atol=VM_ATOL) - assert np.allclose(net_helm.res_bus.va_degree, net_nr.res_bus.va_degree, atol=VA_ATOL) - - -def _assert_full_parity(net_nr, net_helm): - _assert_bus_parity(net_nr, net_helm) - if len(net_nr.res_gen): - assert np.allclose(net_helm.res_gen.q_mvar, net_nr.res_gen.q_mvar, atol=P_ATOL) - assert np.allclose(net_helm.res_gen.p_mw, net_nr.res_gen.p_mw, atol=P_ATOL) - assert np.allclose(net_helm.res_ext_grid.p_mw, net_nr.res_ext_grid.p_mw, atol=P_ATOL) - assert np.allclose(net_helm.res_ext_grid.q_mvar, net_nr.res_ext_grid.q_mvar, atol=P_ATOL) - assert np.allclose(net_helm.res_line.p_from_mw, net_nr.res_line.p_from_mw, atol=P_ATOL) - assert np.allclose(net_helm.res_line.q_from_mvar, net_nr.res_line.q_from_mvar, atol=P_ATOL) - - -# --------------------------------------------------------------------------------------- -# Voltage parity vs Newton-Raphson -# --------------------------------------------------------------------------------------- -@pytest.mark.parametrize("case_name", ["case9", "case14", "case30", "case118"]) -def test_helm_voltage_parity_standard_cases(case_name): - net_nr, net_helm = _run_both(getattr(nw, case_name)) - assert net_helm.converged - _assert_bus_parity(net_nr, net_helm) - - -# --------------------------------------------------------------------------------------- -# Full result parity (gen Q, slack injection, branch flows) via pfsoln -# --------------------------------------------------------------------------------------- -@pytest.mark.parametrize("case_name", ["case30", "case118"]) -def test_helm_full_result_parity(case_name): - net_nr, net_helm = _run_both(getattr(nw, case_name)) - _assert_full_parity(net_nr, net_helm) - - -# --------------------------------------------------------------------------------------- -# Options coverage -# --------------------------------------------------------------------------------------- -def test_helm_enforce_q_lims(): - net_nr, net_helm = _run_both(nw.case30, enforce_q_lims=True) - _assert_full_parity(net_nr, net_helm) - - -def test_helm_distributed_slack_matches_slack_weight(): - # user-defined slack_weight must be honoured -> identical to NR distributed slack - net_nr, net_helm = _run_both(_distributed_slack_grid, distributed_slack=True) - _assert_full_parity(net_nr, net_helm) - - -def test_helm_distributed_slack_without_weights_converges(): - # no slack_weight set on standard case -> HELM uses its generation-proportional default; - # it must still converge to a sensible voltage profile. - net = nw.case9() - pp.runpp(net, algorithm='helm', distributed_slack=True) - assert net.converged - assert net.res_bus.vm_pu.between(0.8, 1.2).all() - - -def test_helm_non_convergence_raises(): - net = nw.case9() - net.load.p_mw *= 100 # massively overload -> no physical solution - with pytest.raises(LoadflowNotConverged): - pp.runpp(net, algorithm='helm') diff --git a/pandapower/test/opf/test_pandamodels_init_pq.py b/pandapower/test/opf/test_pandamodels_init_pq.py deleted file mode 100644 index d8848285fb..0000000000 --- a/pandapower/test/opf/test_pandamodels_init_pq.py +++ /dev/null @@ -1,46 +0,0 @@ -import numpy as np -import pandas as pd -import pytest - -from pandapower.network import pandapowerNet -from pandapower.converter.pandamodels.to_pm import add_pm_gen_start_values_from_results -from pandapower.runpm import runpm, runpm_dc_opf, runpm_ac_opf - -def test_add_pm_gen_start_values_from_results(): - net = pandapowerNet(name="test_add_pm_gen_start_values_from_results") - net.res_ext_grid = pd.DataFrame({"p_mw": [100.0], "q_mvar": [50.0]}, index=[0]) - net.res_gen = pd.DataFrame({"p_mw": [30.0], "q_mvar": [10.0]}, index=[2]) - net.res_sgen = pd.DataFrame({"p_mw": [5.0], "q_mvar": [1.0]}, index=[4]) - net._pd2pm_lookups = { - "ext_grid": np.array([1]), - "gen": np.array([-1, -1, 2]), - "sgen_controllable": np.array([-1, -1, -1, -1, 3]), - } - pm = {"gen": {"1": {}, "2": {}, "3": {}}} - add_pm_gen_start_values_from_results(net, pm) - - assert np.isclose(pm["gen"]["1"]["pg_start"], 100.0) - assert np.isclose(pm["gen"]["1"]["qg_start"], 50.0) - assert np.isclose(pm["gen"]["2"]["pg_start"], 30.0) - assert np.isclose(pm["gen"]["2"]["qg_start"], 10.0) - assert np.isclose(pm["gen"]["3"]["pg_start"], 5.0) - assert np.isclose(pm["gen"]["3"]["qg_start"], 1.0) - -@pytest.mark.parametrize( - "run_function", - [ - runpm, - runpm_dc_opf, - runpm_ac_opf, - ], -) -def test_runpm_wrappers_pass_init_pq_to_options(monkeypatch, run_function): - captured_options = [] - def fake_runpm(net, *args, **kwargs): - captured_options.append(net._options.copy()) - monkeypatch.setitem(run_function.__globals__, "_runpm", fake_runpm) - net = pandapowerNet(name="test_runpm_wrappers_pass_init_pq_to_options") - run_function(net, init_pq="results") - - assert len(captured_options) == 1 - assert captured_options[0]["init_pq"] == "results" \ No newline at end of file diff --git a/pandapower/test/test_files/test_results_files/database.ini b/pandapower/test/test_files/test_results_files/database.ini deleted file mode 100644 index cf0760cfdf..0000000000 --- a/pandapower/test/test_files/test_results_files/database.ini +++ /dev/null @@ -1,6 +0,0 @@ -[Config] -DisableStdDocHandling=0 -[Exclude] -[Database] -MODE=JET -FILE=D:\Python\pandapower\pandapower\test\test_files\test_results_files\database.mdb diff --git a/pandapower/test/toolbox/test_compute_switch_flows.py b/pandapower/test/toolbox/test_compute_switch_flows.py deleted file mode 100644 index e6d2aa7322..0000000000 --- a/pandapower/test/toolbox/test_compute_switch_flows.py +++ /dev/null @@ -1,518 +0,0 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import numpy as np -import pytest - -from pandapower.create import ( - create_bus, - create_ext_grid, - create_line_from_parameters, - create_load, - create_switch, - create_gen, - create_sgen, - create_shunt, -) -from pandapower.network import pandapowerNet -from pandapower.run import runpp -from pandapower.toolbox import compute_switch_flows - - -def _make_two_bus_coupler_net(): - """Two buses connected by a zero-impedance switch, load on one side. - - ext_grid (bus 0) --line-- (bus 1) --switch-- (bus 2) --load - """ - net = pandapowerNet(name="_make_two_bus_coupler_net") - b0 = create_bus(net, vn_kv=20.0, name="slack") - b1 = create_bus(net, vn_kv=20.0, name="bus1") - b2 = create_bus(net, vn_kv=20.0, name="bus2") - - create_ext_grid(net, b0, vm_pu=1.0) - create_line_from_parameters(net, b0, b1, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - create_switch(net, bus=b1, element=b2, et="b", closed=True) - create_load(net, b2, p_mw=1.0, q_mvar=0.5) - return net, b0, b1, b2 - - -class TestComputeSwitchFlowsBasic: - """Basic scenarios: single coupler, open switches, not-converged.""" - - def test_single_coupler_power_balance(self): - """The switch must carry the entire load since it's the only path.""" - net, b0, b1, b2 = _make_two_bus_coupler_net() - runpp(net) - assert np.isnan(net.res_switch.at[0, "p_from_mw"]) - - compute_switch_flows(net) - - p_from = net.res_switch.at[0, "p_from_mw"] - q_from = net.res_switch.at[0, "q_from_mvar"] - p_to = net.res_switch.at[0, "p_to_mw"] - q_to = net.res_switch.at[0, "q_to_mvar"] - i_ka = net.res_switch.at[0, "i_ka"] - - assert not np.isnan(p_from) - assert not np.isnan(i_ka) - - # Power balance: from + to ≈ 0 (zero-impedance, no losses) - assert np.isclose(p_from + p_to, 0, atol=1e-10) - assert np.isclose(q_from + q_to, 0, atol=1e-10) - - # Switch must carry approximately the load power - load_p = net.res_load.at[0, "p_mw"] - load_q = net.res_load.at[0, "q_mvar"] - assert np.isclose(abs(p_from), load_p, atol=1e-6) - assert np.isclose(abs(q_from), load_q, atol=1e-6) - - # Current must be positive - assert i_ka > 0 - - def test_open_switch_zero_flow(self): - """An open bus-bus switch must have zero flow (set by runpp already).""" - net, b0, b1, b2 = _make_two_bus_coupler_net() - net.switch.at[0, "closed"] = False - # Add line so bus 2 is still connected (otherwise non-convergence) - create_line_from_parameters(net, b1, b2, length_km=1, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - runpp(net) - compute_switch_flows(net) - - # Open switches should remain zero / not be filled with flow - assert net.res_switch.at[0, "i_ka"] == 0 - - def test_not_converged_raises(self): - """Must raise when load flow has not converged.""" - net, _, _, _ = _make_two_bus_coupler_net() - # Don't run load flow - net.converged = False - with pytest.raises(UserWarning, match="did not converge"): - compute_switch_flows(net) - - def test_no_switches(self): - """Net without switches should return silently.""" - net = pandapowerNet(name="test_no_switches") - b0 = create_bus(net, vn_kv=20.0) - b1 = create_bus(net, vn_kv=20.0) - create_ext_grid(net, b0) - create_line_from_parameters(net, b0, b1, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - create_load(net, b1, p_mw=1.0) - runpp(net) - compute_switch_flows(net) # should not raise - - def test_impedance_switch_not_overwritten(self): - """Switches with z_ohm > 0 already have results; they must not change.""" - net, b0, b1, b2 = _make_two_bus_coupler_net() - net.switch.at[0, "z_ohm"] = 0.001 - runpp(net) - - p_before = net.res_switch.at[0, "p_from_mw"] - compute_switch_flows(net) - p_after = net.res_switch.at[0, "p_from_mw"] - - assert np.isclose(p_before, p_after) - - -class TestComputeSwitchFlowsChain: - """Multiple couplers in series (chain topology).""" - - def test_three_bus_chain(self): - """ext_grid -- (b0) --line-- (b1) --sw0-- (b2) --sw1-- (b3) --load - - sw0 must carry the full load; sw1 must also carry the full load. - """ - net = pandapowerNet(name="test_three_bus_chain") - b0 = create_bus(net, vn_kv=20.0) - b1 = create_bus(net, vn_kv=20.0) - b2 = create_bus(net, vn_kv=20.0) - b3 = create_bus(net, vn_kv=20.0) - - create_ext_grid(net, b0) - create_line_from_parameters(net, b0, b1, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - sw0 = create_switch(net, bus=b1, element=b2, et="b") - sw1 = create_switch(net, bus=b2, element=b3, et="b") - create_load(net, b3, p_mw=2.0, q_mvar=1.0) - - runpp(net) - compute_switch_flows(net) - - load_p = net.res_load.at[0, "p_mw"] - load_q = net.res_load.at[0, "q_mvar"] - - # Both switches carry the full load - for sw in [sw0, sw1]: - assert np.isclose(abs(net.res_switch.at[sw, "p_from_mw"]), load_p, atol=1e-6) - assert np.isclose(abs(net.res_switch.at[sw, "q_from_mvar"]), load_q, atol=1e-6) - assert net.res_switch.at[sw, "i_ka"] > 0 - - def test_chain_with_intermediate_load(self): - """(b0)--line--(b1)--sw0--(b2)--sw1--(b3) - ext_grid load1=1MW load2=2MW - - sw0 must carry 3 MW, sw1 must carry 2 MW. - """ - net = pandapowerNet(name="test_chain_with_intermediate_load") - b0 = create_bus(net, vn_kv=20.0) - b1 = create_bus(net, vn_kv=20.0) - b2 = create_bus(net, vn_kv=20.0) - b3 = create_bus(net, vn_kv=20.0) - - create_ext_grid(net, b0) - create_line_from_parameters(net, b0, b1, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - sw0 = create_switch(net, bus=b1, element=b2, et="b") - sw1 = create_switch(net, bus=b2, element=b3, et="b") - create_load(net, b2, p_mw=1.0) - create_load(net, b3, p_mw=2.0) - - runpp(net) - compute_switch_flows(net) - - # sw1 carries only load at b3 - assert np.isclose(abs(net.res_switch.at[sw1, "p_from_mw"]), - net.res_load.at[1, "p_mw"], atol=1e-6) - # sw0 carries both loads - total_load = net.res_load.at[0, "p_mw"] + net.res_load.at[1, "p_mw"] - assert np.isclose(abs(net.res_switch.at[sw0, "p_from_mw"]), total_load, atol=1e-6) - - -class TestComputeSwitchFlowsBranching: - """Tree topologies with branches.""" - - def test_t_junction(self): - """ load1=1MW - | - ext_grid--(b0)--line--(b1)--sw0--(b2)--sw1--(b3)--load2=2MW - | - sw2 - | - (b4)--load3=3MW - - sw0 carries 1+2+3=6 MW, sw1 carries 2 MW, sw2 carries 3 MW. - """ - net = pandapowerNet(name="test_t_junction") - b0 = create_bus(net, vn_kv=20.0) - b1 = create_bus(net, vn_kv=20.0) - b2 = create_bus(net, vn_kv=20.0) - b3 = create_bus(net, vn_kv=20.0) - b4 = create_bus(net, vn_kv=20.0) - - create_ext_grid(net, b0) - create_line_from_parameters(net, b0, b1, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - sw0 = create_switch(net, bus=b1, element=b2, et="b") - sw1 = create_switch(net, bus=b2, element=b3, et="b") - sw2 = create_switch(net, bus=b2, element=b4, et="b") - - create_load(net, b2, p_mw=1.0) - create_load(net, b3, p_mw=2.0) - create_load(net, b4, p_mw=3.0) - - runpp(net) - compute_switch_flows(net) - - l0 = net.res_load.at[0, "p_mw"] - l1 = net.res_load.at[1, "p_mw"] - l2 = net.res_load.at[2, "p_mw"] - - assert np.isclose(abs(net.res_switch.at[sw0, "p_from_mw"]), l0 + l1 + l2, atol=1e-6) - assert np.isclose(abs(net.res_switch.at[sw1, "p_from_mw"]), l1, atol=1e-6) - assert np.isclose(abs(net.res_switch.at[sw2, "p_from_mw"]), l2, atol=1e-6) - - -class TestComputeSwitchFlowsGenAndBranch: - """Scenarios with generators and outgoing branches within a fused group.""" - - def test_generator_on_fused_bus(self): - """Generator on one fused bus, load on the other. - - (b0)--line--(b1)--sw--(b2) - ext_grid gen=5MW load=3MW - - The switch should carry |gen - load| = 2 MW toward the line. - But sign depends on direction: the gen produces 5MW at b1, - load consumes 3MW at b2. Net demand at b2 is 3MW, so the - switch carries 3MW from b1 to b2. - """ - net = pandapowerNet(name="test_generator_on_fused_bus") - b0 = create_bus(net, vn_kv=20.0) - b1 = create_bus(net, vn_kv=20.0) - b2 = create_bus(net, vn_kv=20.0) - - create_ext_grid(net, b0) - create_line_from_parameters(net, b0, b1, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - sw = create_switch(net, bus=b1, element=b2, et="b") - create_gen(net, b1, p_mw=5.0, vm_pu=1.0) - create_load(net, b2, p_mw=3.0) - - runpp(net) - compute_switch_flows(net) - - load_p = net.res_load.at[0, "p_mw"] - assert np.isclose(abs(net.res_switch.at[sw, "p_from_mw"]), load_p, atol=1e-6) - - def test_branch_leaving_fused_group(self): - """Branch exits from a fused bus. - - ext_grid--(b0)--line0--(b1)--sw--(b2)--line1--(b3)--load - """ - net = pandapowerNet(name="test_branch_leaving_fused_group") - b0 = create_bus(net, vn_kv=20.0) - b1 = create_bus(net, vn_kv=20.0) - b2 = create_bus(net, vn_kv=20.0) - b3 = create_bus(net, vn_kv=20.0) - - create_ext_grid(net, b0) - create_line_from_parameters(net, b0, b1, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - sw = create_switch(net, bus=b1, element=b2, et="b") - create_line_from_parameters(net, b2, b3, length_km=5, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - create_load(net, b3, p_mw=2.0, q_mvar=1.0) - - runpp(net) - compute_switch_flows(net) - - # The switch must carry what the outgoing line takes from b2 - line1_p = abs(net.res_line.at[1, "p_from_mw"]) - line1_q = abs(net.res_line.at[1, "q_from_mvar"]) - sw_p = abs(net.res_switch.at[sw, "p_from_mw"]) - sw_q = abs(net.res_switch.at[sw, "q_from_mvar"]) - - assert np.isclose(sw_p, line1_p, atol=1e-6) - assert np.isclose(sw_q, line1_q, atol=1e-6) - - def test_sgen_and_shunt(self): - """Ensure static generators and shunts are accounted for.""" - net = pandapowerNet(name="test_sgen_and_shunt") - b0 = create_bus(net, vn_kv=20.0) - b1 = create_bus(net, vn_kv=20.0) - b2 = create_bus(net, vn_kv=20.0) - - create_ext_grid(net, b0) - create_line_from_parameters(net, b0, b1, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - sw = create_switch(net, bus=b1, element=b2, et="b") - create_sgen(net, b2, p_mw=2.0, q_mvar=0.0) - create_shunt(net, b2, q_mvar=-0.5, p_mw=0.0) - create_load(net, b2, p_mw=5.0, q_mvar=1.0) - - runpp(net) - compute_switch_flows(net) - - # Net demand at b2: load - sgen + shunt - net_p_b2 = net.res_load.at[0, "p_mw"] - net.res_sgen.at[0, "p_mw"] + net.res_shunt.at[0, "p_mw"] - assert np.isclose(abs(net.res_switch.at[sw, "p_from_mw"]), abs(net_p_b2), atol=1e-4) - - -class TestComputeSwitchFlowsCycleDetection: - """Cycle detection for parallel zero-impedance paths.""" - - def test_cycle_raises(self): - """Two parallel zero-impedance switches between the same buses must raise.""" - net = pandapowerNet(name="test_cycle_raises") - b0 = create_bus(net, vn_kv=20.0) - b1 = create_bus(net, vn_kv=20.0) - b2 = create_bus(net, vn_kv=20.0) - - create_ext_grid(net, b0) - create_line_from_parameters(net, b0, b1, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - # Two parallel switches b1 <-> b2 - create_switch(net, bus=b1, element=b2, et="b") - create_switch(net, bus=b1, element=b2, et="b") - create_load(net, b2, p_mw=1.0) - - runpp(net) - with pytest.raises(ValueError, match="cycle"): - compute_switch_flows(net) - - def test_loop_of_three_raises(self): - """Three buses in a loop: b1--sw--b2--sw--b3--sw--b1.""" - net = pandapowerNet(name="test_loop_of_three_raises") - b0 = create_bus(net, vn_kv=20.0) - b1 = create_bus(net, vn_kv=20.0) - b2 = create_bus(net, vn_kv=20.0) - b3 = create_bus(net, vn_kv=20.0) - - create_ext_grid(net, b0) - create_line_from_parameters(net, b0, b1, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - create_switch(net, bus=b1, element=b2, et="b") - create_switch(net, bus=b2, element=b3, et="b") - create_switch(net, bus=b3, element=b1, et="b") - create_load(net, b2, p_mw=1.0) - - runpp(net) - with pytest.raises(ValueError, match="cycle"): - compute_switch_flows(net) - - -class TestComputeSwitchFlowsSignConvention: - """Verify sign convention matches Pandapower's from/to convention.""" - - def test_sign_convention(self): - """Power flows from bus column toward element column when load is on element side.""" - net, b0, b1, b2 = _make_two_bus_coupler_net() - runpp(net) - compute_switch_flows(net) - - # Switch: bus=b1, element=b2; load on b2 - # Power should flow from b1 to b2, so p_from > 0, p_to < 0 - p_from = net.res_switch.at[0, "p_from_mw"] - p_to = net.res_switch.at[0, "p_to_mw"] - assert p_from > 0, "Power should flow from bus toward element (load side)" - assert p_to < 0 - - -class TestComputeSwitchFlowsValidation: - """Cross-validate against z_ohm > 0 results for small impedance.""" - - def test_cross_validate_with_impedance(self): - """Results from nodal balance should be close to results with small z_ohm. - - Uses z_ohm=0.01 (not smaller, since very low impedance branches can - cause convergence issues in Newton-Raphson for small test networks). - """ - net = pandapowerNet(name="test_cross_validate_with_impedance") - b0 = create_bus(net, vn_kv=20.0) - b1 = create_bus(net, vn_kv=20.0) - b2 = create_bus(net, vn_kv=20.0) - - create_ext_grid(net, b0) - create_line_from_parameters(net, b0, b1, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - create_switch(net, bus=b1, element=b2, et="b") - create_load(net, b2, p_mw=1.5, q_mvar=0.5) - - # Run with z_ohm=0 + nodal balance - runpp(net) - compute_switch_flows(net) - p_nodal = net.res_switch.at[0, "p_from_mw"] - q_nodal = net.res_switch.at[0, "q_from_mvar"] - i_nodal = net.res_switch.at[0, "i_ka"] - - # Run with small z_ohm for comparison - net.switch.at[0, "z_ohm"] = 0.01 - runpp(net) - p_z = net.res_switch.at[0, "p_from_mw"] - q_z = net.res_switch.at[0, "q_from_mvar"] - i_z = net.res_switch.at[0, "i_ka"] - - # Tolerances account for the non-zero impedance introducing small losses - assert np.isclose(p_nodal, p_z, rtol=1e-2), \ - f"P mismatch: nodal={p_nodal:.6f}, z_ohm={p_z:.6f}" - assert np.isclose(q_nodal, q_z, rtol=1e-2), \ - f"Q mismatch: nodal={q_nodal:.6f}, z_ohm={q_z:.6f}" - assert np.isclose(i_nodal, i_z, rtol=5e-2), \ - f"I mismatch: nodal={i_nodal:.6f}, z_ohm={i_z:.6f}" - - -class TestComputeSwitchFlowsMultipleGroups: - """Independent fused groups should be computed independently.""" - - def test_two_independent_groups(self): - """Two separate fused groups with different loads.""" - net = pandapowerNet(name="test_two_independent_groups") - b0 = create_bus(net, vn_kv=20.0) - b1 = create_bus(net, vn_kv=20.0) - b2 = create_bus(net, vn_kv=20.0) - b3 = create_bus(net, vn_kv=20.0) - b4 = create_bus(net, vn_kv=20.0) - - create_ext_grid(net, b0) - create_line_from_parameters(net, b0, b1, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - create_line_from_parameters(net, b0, b3, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - - sw0 = create_switch(net, bus=b1, element=b2, et="b") - sw1 = create_switch(net, bus=b3, element=b4, et="b") - - create_load(net, b2, p_mw=1.0) - create_load(net, b4, p_mw=3.0) - - runpp(net) - compute_switch_flows(net) - - assert np.isclose(abs(net.res_switch.at[sw0, "p_from_mw"]), - net.res_load.at[0, "p_mw"], atol=1e-6) - assert np.isclose(abs(net.res_switch.at[sw1, "p_from_mw"]), - net.res_load.at[1, "p_mw"], atol=1e-6) - - -class TestComputeSwitchFlowsLoadingPercent: - """Loading percent computation when in_ka is available.""" - - def test_loading_percent(self): - net, b0, b1, b2 = _make_two_bus_coupler_net() - in_ka = 0.1 - net.switch.at[0, "in_ka"] = in_ka - runpp(net) - compute_switch_flows(net) - - i_ka = net.res_switch.at[0, "i_ka"] - expected_loading = i_ka / in_ka * 100 - assert np.isclose(net.res_switch.at[0, "loading_percent"], expected_loading, atol=1e-6) - - -class TestComputeSwitchFlowsDcline: - """DC line as a branch leaving a fused group.""" - - def test_dcline_outflow(self): - """Power leaving through a dcline must be accounted for. - - ext_grid--(b0)--line--(b1)--sw--(b2)--dcline--(b3)--load - """ - from pandapower.create import create_dcline - - net = pandapowerNet(name="test_dcline_outflow") - b0 = create_bus(net, vn_kv=20.0) - b1 = create_bus(net, vn_kv=20.0) - b2 = create_bus(net, vn_kv=20.0) - b3 = create_bus(net, vn_kv=20.0) - - create_ext_grid(net, b0) - create_ext_grid(net, b3, vm_pu=1.0) - create_line_from_parameters(net, b0, b1, length_km=10, r_ohm_per_km=0.1, - x_ohm_per_km=0.1, c_nf_per_km=0, max_i_ka=1) - sw = create_switch(net, bus=b1, element=b2, et="b") - create_dcline(net, from_bus=b2, to_bus=b3, p_mw=5.0, loss_percent=1.0, - loss_mw=0.1, vm_from_pu=1.0, vm_to_pu=1.0) - create_load(net, b3, p_mw=10.0) - - runpp(net) - compute_switch_flows(net) - - # Switch must carry the dcline from-side flow - p_dcline = abs(net.res_dcline.at[0, "p_from_mw"]) - p_sw = abs(net.res_switch.at[sw, "p_from_mw"]) - assert np.isclose(p_sw, p_dcline, atol=1e-4), \ - f"Switch P={p_sw:.4f} should match dcline from P={p_dcline:.4f}" - assert net.res_switch.at[sw, "i_ka"] > 0 - - -class TestComputeSwitchFlowsDeenergized: - """De-energized fused groups should be skipped gracefully.""" - - def test_deenergized_group_skipped(self): - """Fused group with vm=0 should not produce results (no crash).""" - net, b0, b1, b2 = _make_two_bus_coupler_net() - runpp(net) - - # Manually set bus voltage to 0 to simulate de-energized state - net.res_bus.at[b1, "vm_pu"] = 0.0 - net.res_bus.at[b2, "vm_pu"] = 0.0 - - compute_switch_flows(net) - # Should remain NaN (skipped), not crash - assert np.isnan(net.res_switch.at[0, "p_from_mw"]) - - -if __name__ == "__main__": - pytest.main([__file__, "-v"]) diff --git a/pandapower/toolbox/element_selection.py b/pandapower/toolbox/element_selection.py index 13994c0ca2..0ee000c876 100644 --- a/pandapower/toolbox/element_selection.py +++ b/pandapower/toolbox/element_selection.py @@ -709,31 +709,24 @@ def count_elements(net: pandapowerNet, return_empties: bool = False, **kwargs) - return_empties or (et in net and bool(net[et].shape[0]))}, dtype=np.int64) -def get_all_elements(net, include_results=False): +def get_all_elements(net: pandapowerNet, include_results: bool = False): """ Create a combined overview of all elements in a pandapower network as a single DataFrame. - Parameters - ---------- - net : pandapowerNet - The pandapower network object or a dict-like structure whose - values (partially) are pandas.DataFrames containing element data - (e.g. 'bus', 'line', 'trafo', 'load', ...). - include_results : bool, optional - If False (default), result tables whose keys start with - ``'res_'`` (e.g. ``'res_bus'``, ``'res_line'``) are ignored. - If True, these tables are also included in the overview. - - Returns - ------- - pandas.DataFrame + Parameters: + net: The pandapower network object or a dict-like structure whose + values (partially) are pandas.DataFrames containing element data + (e.g. 'bus', 'line', 'trafo', 'load', ...). + include_results: If False (default), result tables whose keys start with ``'res_'`` + (e.g. ``'res_bus'``, ``'res_line'``) are ignored. + If True, these tables are also included in the overview. + + Returns: DataFrame with one row per element from all considered tables. Contains at least the columns: - - ``'pp_type'`` : name of the original table (e.g. ``'bus'``, - - ``'line'``) + - ``'pp_type'`` : name of the original table (e.g. ``'bus'``, ``'line'``) - ``'pp_idx'`` : original index of the element in that table In addition, all columns from all original tables are included diff --git a/pandapower/toolbox/grid_modification.py b/pandapower/toolbox/grid_modification.py index d35c0e1ebc..7d9843bdaa 100644 --- a/pandapower/toolbox/grid_modification.py +++ b/pandapower/toolbox/grid_modification.py @@ -13,7 +13,7 @@ from pandapower.auxiliary import _preserve_dtypes, ensure_iterability, log_to_level from pandapower.network import pandapowerNet, plural_s from pandapower.std_types import change_std_type -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.create import ( create_switch, create_line_from_parameters, create_impedance, create_gen, create_ext_grid, create_load, create_shunt, create_bus, create_sgen, create_storage, create_ward @@ -1250,7 +1250,7 @@ def replace_line_by_impedance( xft0_pu=line_.x0_ohm_per_km * l / p / Zni if "x0_ohm_per_km" in cols else None, gf0_pu=line_.g0_us_per_km * 1e-6 * Zni * l * p if "g0_us_per_km" in cols else None, bf0_pu=2 * net.f_hz * np.pi * line_.c0_nf_per_km * 1e-9 * Zni * l * p if "c0_nf_per_km" in cols else None, - name=line_["name"], # TODO: should this be line_.name (line index) or line_["name"] + name=line_["name"], # TODO: should this be line_.name (line index) or line_["name"] in_service=line_.in_service)) i += 1 _replace_group_member_element_type(net, index, "line", new_index, "impedance", diff --git a/pyproject.toml b/pyproject.toml index b8e053ab8e..cade224651 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -113,9 +113,6 @@ version = {attr = "pandapower._version.__version__"} include = [ "pandapower*", ] -exclude = [ - "pandapower.test*", -] [tool.setuptools.package-data] "*" = [ @@ -130,6 +127,7 @@ exclude = [ [tool.pytest.ini_options] addopts = [ "--strict-markers", + "--import-mode=importlib", "--maxfail=1", # stop after the first failure / error / timeout "--timeout=60", # "--timeout-method=thread", # per‑test timeout in seconds (requires pytest-timeout) ] @@ -145,10 +143,6 @@ filterwarnings = [ #log_file = "./pytest.log" #log_file_level = "WARN" -[tool.coverage.run] -omit = [ - "pandapower/test/*" -] [tool.coverage.report] exclude_lines = [ "pragma: no cover", diff --git a/test/__init__.py b/test/__init__.py new file mode 100644 index 0000000000..bc83da2926 --- /dev/null +++ b/test/__init__.py @@ -0,0 +1,5 @@ +import os +from pandapower.__init__ import pp_dir + +test_path = os.path.join(os.path.dirname(pp_dir), 'test') +tutorials_path = os.path.join(os.path.dirname(pp_dir), 'tutorials') diff --git a/pandapower/test/api/__init__.py b/test/api/__init__.py similarity index 100% rename from pandapower/test/api/__init__.py rename to test/api/__init__.py diff --git a/pandapower/test/api/input_files/test_control.py b/test/api/input_files/test_control.py similarity index 100% rename from pandapower/test/api/input_files/test_control.py rename to test/api/input_files/test_control.py diff --git a/pandapower/test/api/old_net.p b/test/api/old_net.p similarity index 100% rename from pandapower/test/api/old_net.p rename to test/api/old_net.p diff --git a/pandapower/test/api/test_auxiliary.py b/test/api/test_auxiliary.py similarity index 99% rename from pandapower/test/api/test_auxiliary.py rename to test/api/test_auxiliary.py index 88dba812e5..f461df2d04 100644 --- a/pandapower/test/api/test_auxiliary.py +++ b/test/api/test_auxiliary.py @@ -14,7 +14,7 @@ from pandapower.file_io import from_json_string, to_json from pandapower.create import create_bus, create_lines, create_line, create_buses, create_shunt -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.auxiliary import get_indices from pandapower.network import pandapowerNet from pandapower.networks import example_simple, example_multivoltage, mv_oberrhein @@ -37,6 +37,7 @@ try: import geopandas as gpd import shapely.geometry + GEOPANDAS_INSTALLED = True except ImportError: GEOPANDAS_INSTALLED = False @@ -444,9 +445,9 @@ def test_get_min_max_q_capability(): 'p_mw': p_mw, 'q_min_mvar': q_min_mvar, 'q_max_mvar': q_max_mvar}) - add_column_to_df(net, 'sgen', "id_q_capability_characteristic",) + add_column_to_df(net, 'sgen', "id_q_capability_characteristic", ) net.sgen.loc[sgen_indices_with_char, 'id_q_capability_characteristic'] = [0, 1] - add_column_to_df(net, 'sgen', "reactive_capability_curve",) + add_column_to_df(net, 'sgen', "reactive_capability_curve", ) net.sgen.loc[sgen_indices_with_char, 'curve_style'] = "straightLineYValues" create_q_capability_characteristics_object(net) diff --git a/pandapower/test/api/test_convert_format.py b/test/api/test_convert_format.py similarity index 94% rename from pandapower/test/api/test_convert_format.py rename to test/api/test_convert_format.py index 0cfe5a0419..91282427cf 100644 --- a/pandapower/test/api/test_convert_format.py +++ b/test/api/test_convert_format.py @@ -1,116 +1,119 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import numpy as np -import os - -import pandas as pd -import pytest -from packaging import version as vs -from packaging.version import Version - -from pandapower import pp_dir, from_json, convert_format, runpp, __format_version__ - -folder = os.path.join(pp_dir, "test", "test_files", "old_versions") -found_versions = [file.split("_")[1].split(".json")[0] for _, _, files in os.walk(folder) for file in files] - - -@pytest.mark.slow -@pytest.mark.parametrize("version", found_versions) -def test_convert_format(version): - filename = os.path.join(folder, f"example_{version}.json") - if not os.path.isfile(filename): - raise ValueError(f"File for version {version} does not exist") - try: - net = from_json(filename, convert=False) - if 'version' in net and vs.parse(str(net.version)) > vs.parse('2.0.1'): - _ = from_json(filename, elements_to_deserialize=['bus', 'load']) - except: - raise UserWarning(f"Can not load network saved in pandapower version {version}") - vm_pu_old = net.res_bus["vm_pu"].copy() - convert_format(net) - try: - runpp(net, run_control="controller" in net and len(net.controller) > 0) - except: - raise UserWarning(f"Can not run power flow in network saved with pandapower version {version}") - if not np.allclose(vm_pu_old.values, net.res_bus.vm_pu.values): - raise UserWarning(f"Power flow results mismatch with pandapower version {version}") - - -def test_convert_format_pq_bus_meas(): - net = from_json(os.path.join(folder, "example_2.3.1.json"), convert=False) - net = convert_format(net) - runpp(net) - - bus_p_meas = net.measurement.query("element_type=='bus' and measurement_type=='p'").set_index("element", drop=True) - assert np.allclose(net.res_bus.p_mw, bus_p_meas["value"]) - - -def test_convert_format_controller(): - net = from_json(os.path.join(folder, "example_2.3.0.json"), convert=True) - controller = net.controller.object.iloc[0] - assert not hasattr(controller, "net") - - -def test_convert_format_characteristics(): - net = from_json(os.path.join(folder, "example_2.13.0.1.json"), convert=True) - assert hasattr(net.characteristic.at[0, "object"], "interpolator_kind") - assert hasattr(net.characteristic.at[0, "object"], "kwargs") - assert not hasattr(net.characteristic.at[0, "object"], "kind") - assert not hasattr(net.characteristic.at[0, "object"], "fill_value") - runpp(net) - - -def test_convert_format_adding_characteristic_columns(): - net = from_json(os.path.join(folder, "example_3.1.2.json"), convert=True) - assert 'id_characteristic_table' in net.shunt - assert 'step_dependency_table' in net.shunt - assert 'id_q_capability_characteristic' in net.sgen - assert 'reactive_capability_curve' in net.sgen - assert 'curve_style' in net.sgen - assert 'id_q_capability_characteristic' in net.gen - assert 'reactive_capability_curve' in net.gen - assert 'curve_style' in net.gen - net = from_json(os.path.join(folder, "example_3.1.2.json"), convert=False) - assert 'id_characteristic_table' not in net.shunt - assert 'step_dependency_table' not in net.shunt - assert 'id_q_capability_characteristic' not in net.sgen - assert 'reactive_capability_curve' not in net.sgen - assert 'curve_style' not in net.sgen - assert 'id_q_capability_characteristic' not in net.gen - assert 'reactive_capability_curve' not in net.gen - assert 'curve_style' not in net.gen - - -def test_convert_format_renaming_characteristic_table(): - capa_df = pd.DataFrame({'id_q_capability_curve': {0: 0, 1: 0, 2: 0}, - 'p_mw': {0: -100.0, 1: 0.0, 2: 100.0}, - 'q_min_mvar': {0: -200.0, 1: -300.0, 2: -200.0}, - 'q_max_mvar': {0: 200.0, 1: 300.0, 2: 200.0}}) - capa_df['id_q_capability_curve'] = capa_df['id_q_capability_curve'].astype('Int64') - net = from_json(os.path.join(folder, "example_3.1.2_capability.json"), convert=True) - assert 'q_capability_curve_table' in net - assert 'q_capability_characteristic' in net - assert 'q_capability_curve_characteristic' not in net - pd.testing.assert_frame_equal(net['q_capability_curve_table'], capa_df, atol=1e-5) - net = from_json(os.path.join(folder, "example_3.1.2_capability.json"), convert=False) - assert 'q_capability_curve_table' in net - assert 'q_capability_characteristic' not in net - assert 'q_capability_curve_characteristic' in net - pd.testing.assert_frame_equal(net['q_capability_curve_table'], capa_df, atol=1e-5) - - -def test_convert_format_newer_format_version(): - version = sorted(found_versions, key=lambda k: Version(k))[-1] - filename = os.path.join(folder, "example_%s.json" % version) - if not os.path.isfile(filename): - raise ValueError("File for version %s does not exist" % version) - net = from_json(filename, convert=False) - net.format_version = ".".join([str(int(__format_version__.split(".")[0]) + 1)] + __format_version__.split(".")[1:]) - with pytest.raises(ValueError, match="is newer than the current pandapower version"): - convert_format(net) - convert_format(net, donot_open_newer=False) - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import numpy as np +import os + +import pandas as pd +import pytest +from packaging import version as vs +from packaging.version import Version + +from pandapower import from_json, convert_format, runpp, __format_version__ + +from test import test_path + +folder = os.path.join(test_path, "test_files", "old_versions") +found_versions = [file.split("_")[1].split(".json")[0] for _, _, files + in os.walk(folder) for file in files] + + +@pytest.mark.slow +@pytest.mark.parametrize("version", found_versions) +def test_convert_format(version): + filename = os.path.join(folder, f"example_{version}.json") + if not os.path.isfile(filename): + raise ValueError(f"File for version {version} does not exist") + try: + net = from_json(filename, convert=False) + if 'version' in net and vs.parse(str(net.version)) > vs.parse('2.0.1'): + _ = from_json(filename, elements_to_deserialize=['bus', 'load']) + except: + raise UserWarning(f"Can not load network saved in pandapower version {version}") + vm_pu_old = net.res_bus["vm_pu"].copy() + convert_format(net) + try: + runpp(net, run_control="controller" in net and len(net.controller) > 0) + except: + raise UserWarning(f"Can not run power flow in network saved with pandapower version {version}") + if not np.allclose(vm_pu_old.values, net.res_bus.vm_pu.values): + raise UserWarning(f"Power flow results mismatch with pandapower version {version}") + + +def test_convert_format_pq_bus_meas(): + net = from_json(os.path.join(folder, "example_2.3.1.json"), convert=False) + net = convert_format(net) + runpp(net) + + bus_p_meas = net.measurement.query("element_type=='bus' and measurement_type=='p'").set_index("element", drop=True) + assert np.allclose(net.res_bus.p_mw, bus_p_meas["value"]) + + +def test_convert_format_controller(): + net = from_json(os.path.join(folder, "example_2.3.0.json"), convert=True) + controller = net.controller.object.iloc[0] + assert not hasattr(controller, "net") + + +def test_convert_format_characteristics(): + net = from_json(os.path.join(folder, "example_2.13.0.1.json"), convert=True) + assert hasattr(net.characteristic.at[0, "object"], "interpolator_kind") + assert hasattr(net.characteristic.at[0, "object"], "kwargs") + assert not hasattr(net.characteristic.at[0, "object"], "kind") + assert not hasattr(net.characteristic.at[0, "object"], "fill_value") + runpp(net) + + +def test_convert_format_adding_characteristic_columns(): + net = from_json(os.path.join(folder, "example_3.1.2.json"), convert=True) + assert 'id_characteristic_table' in net.shunt + assert 'step_dependency_table' in net.shunt + assert 'id_q_capability_characteristic' in net.sgen + assert 'reactive_capability_curve' in net.sgen + assert 'curve_style' in net.sgen + assert 'id_q_capability_characteristic' in net.gen + assert 'reactive_capability_curve' in net.gen + assert 'curve_style' in net.gen + net = from_json(os.path.join(folder, "example_3.1.2.json"), convert=False) + assert 'id_characteristic_table' not in net.shunt + assert 'step_dependency_table' not in net.shunt + assert 'id_q_capability_characteristic' not in net.sgen + assert 'reactive_capability_curve' not in net.sgen + assert 'curve_style' not in net.sgen + assert 'id_q_capability_characteristic' not in net.gen + assert 'reactive_capability_curve' not in net.gen + assert 'curve_style' not in net.gen + + +def test_convert_format_renaming_characteristic_table(): + capa_df = pd.DataFrame({'id_q_capability_curve': {0: 0, 1: 0, 2: 0}, + 'p_mw': {0: -100.0, 1: 0.0, 2: 100.0}, + 'q_min_mvar': {0: -200.0, 1: -300.0, 2: -200.0}, + 'q_max_mvar': {0: 200.0, 1: 300.0, 2: 200.0}}) + capa_df['id_q_capability_curve'] = capa_df['id_q_capability_curve'].astype('Int64') + net = from_json(os.path.join(folder, "example_3.1.2_capability.json"), convert=True) + assert 'q_capability_curve_table' in net + assert 'q_capability_characteristic' in net + assert 'q_capability_curve_characteristic' not in net + pd.testing.assert_frame_equal(net['q_capability_curve_table'], capa_df, atol=1e-5) + net = from_json(os.path.join(folder, "example_3.1.2_capability.json"), convert=False) + assert 'q_capability_curve_table' in net + assert 'q_capability_characteristic' not in net + assert 'q_capability_curve_characteristic' in net + pd.testing.assert_frame_equal(net['q_capability_curve_table'], capa_df, atol=1e-5) + + +def test_convert_format_newer_format_version(): + version = sorted(found_versions, key=lambda k: Version(k))[-1] + filename = os.path.join(folder, "example_%s.json" % version) + if not os.path.isfile(filename): + raise ValueError("File for version %s does not exist" % version) + net = from_json(filename, convert=False) + net.format_version = ".".join([str(int(__format_version__.split(".")[0]) + 1)] + __format_version__.split(".")[1:]) + with pytest.raises(ValueError, match="is newer than the current pandapower version"): + convert_format(net) + convert_format(net, donot_open_newer=False) + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/api/test_create.py b/test/api/test_create.py similarity index 100% rename from pandapower/test/api/test_create.py rename to test/api/test_create.py diff --git a/pandapower/test/api/test_diagnostic.py b/test/api/test_diagnostic.py similarity index 97% rename from pandapower/test/api/test_diagnostic.py rename to test/api/test_diagnostic.py index 55e73428c4..c8388732fb 100644 --- a/pandapower/test/api/test_diagnostic.py +++ b/test/api/test_diagnostic.py @@ -1,880 +1,880 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import copy -from typing import Callable - -import pytest -import numpy as np - -from pandapower.network import pandapowerNet -from pandapower.create import create_ext_grid, create_switch -from pandapower.toolbox.grid_modification import drop_trafos, change_std_type -from pandapower.networks import example_multivoltage, example_simple -from pandapower.diagnostic.diagnostic import Diagnostic -from pandapower.diagnostic.diagnostic_helpers import DiagnosticFunction -from pandapower.diagnostic.diagnostic_functions import ( - InvalidValues, - NoExtGrid, - MultipleVoltageControllingElementsPerBus, - ParallelSwitches, - Overload, - WrongSwitchConfiguration, - DifferentVoltageLevelsConnected, - ImplausibleImpedanceValues, - NominalVoltagesMismatch, - WrongReferenceSystem, - DisconnectedElements, - DeviationFromStdType, - NumbaComparison, - MissingBusIndices, - CheckDCPowerflow, - DisableVoltageDependentLoads, - WrongLineCapacitance, - WrongLineResistance, - WrongLineReactance, - SubNetProblemTest, - OptimisticPowerflow -) - -try: - import numba - - numba_installed = True -except ImportError: - numba_installed = False - -pytestmark = pytest.mark.filterwarnings("ignore") - - -@pytest.fixture(scope="function") -def diag_errors(): - return {} - - -@pytest.fixture(scope="function") -def diag_params(): - return { - "overload_scaling_factor": 0.001, - "min_r_ohm": 0.001, - "min_x_ohm": 0.001, - "min_r_pu": 1e-05, - "min_x_pu": 1e-05, - "nom_voltage_tolerance": 0.3, - "numba_tolerance": 1e-8, - } - - -@pytest.fixture(scope="module") -def test_net(): - return example_multivoltage() - - -diag_functions: list[Callable] = [ - MissingBusIndices, - DisconnectedElements, - DifferentVoltageLevelsConnected, - ImplausibleImpedanceValues, - NominalVoltagesMismatch, - InvalidValues, - Overload, - MultipleVoltageControllingElementsPerBus, - WrongSwitchConfiguration, - NoExtGrid, - WrongReferenceSystem, - DeviationFromStdType, - NumbaComparison, - ParallelSwitches, - CheckDCPowerflow, - DisableVoltageDependentLoads, - WrongLineCapacitance, - WrongLineReactance, - WrongLineResistance, - SubNetProblemTest, -] - - -def check_report_function(func: DiagnosticFunction, error, result): - try: - func.report(error, result) - except Exception as e: - raise AssertionError(f"Report function '{func.__class__.__name__}' failed: {e}") - - -@pytest.mark.parametrize("diag_function", diag_functions) -def test_no_issues(diag_params, diag_errors, diag_function): - net = example_simple() - diag = Diagnostic() - diag_results = diag.diagnose_network(net, report_style=None) - assert diag_results == {} - check_report_function(diag_function(), None, None) - - -class TestInvalidValues: - def test_greater_zero(self, test_net, diag_params, diag_errors): - net = copy.deepcopy(test_net) - check_function = "invalid_values" - net.bus.loc[42, "vn_kv"] = "-1" - net.line.loc[7, "length_km"] = -1 - net.line.loc[8, "max_i_ka"] = 0 - net.trafo.loc[0, "vk_percent"] = 0.0 - net.trafo.loc[0, "sn_mva"] = None - net.trafo.loc[0, "vn_hv_kv"] = -1.5 - net.trafo.loc[0, "vn_lv_kv"] = False - net.trafo3w.loc[0, "vk_hv_percent"] = 2.3 - net.trafo3w.loc[0, "vk_mv_percent"] = np.nan - net.trafo3w.loc[0, "vk_lv_percent"] = 0.0 - net.trafo3w.loc[0, "vkr_lv_percent"] = 1.0 - net.trafo3w.loc[0, "sn_hv_mva"] = 11 - net.trafo3w.loc[0, "sn_mv_mva"] = "a" - net.trafo3w.loc[0, "vn_hv_kv"] = -1.5 - net.trafo3w.loc[0, "vn_mv_kv"] = -1.5 - net.trafo3w.loc[0, "vn_lv_kv"] = False - net.ext_grid.loc[0, "vm_pu"] = True - - diag_function = InvalidValues() - check_result = diag_function.diagnostic(net, **diag_params) - if check_result: - diag_results = {check_function: check_result} - else: - diag_results = {} - - assert diag_results[check_function] == { - "bus": [(42, "vn_kv", "-1", ">0")], - "ext_grid": [(0, "vm_pu", True, ">0")], - "line": [(7, "length_km", -1.0, ">0"), (8, "max_i_ka", 0.0, ">0")], - "trafo": [ - (0, "sn_mva", "nan", ">0"), - (0, "vn_hv_kv", -1.5, ">0"), - (0, "vn_lv_kv", False, ">0"), - (0, "vk_percent", 0.0, ">0"), - (0, 'vkr_percent', 0.06, 'vkr_percent_larger') - ], - "trafo3w": [ - (0, "sn_mv_mva", "a", ">0"), - (0, "vn_hv_kv", -1.5, ">0"), - (0, "vn_mv_kv", -1.5, ">0"), - (0, "vn_lv_kv", False, ">0"), - (0, "vkr_lv_percent", 1.0, "vkr_percent_larger"), - (0, "vk_mv_percent", "nan", ">0"), - (0, "vk_lv_percent", 0.0, ">0"), - (0, "vk_mv_percent", "nan", "<20"), - ], - } - - check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) - - def test_greater_equal_zero(self, test_net, diag_params, diag_errors): - net = copy.deepcopy(test_net) - check_function = "invalid_values" - net.line.loc[7, "r_ohm_per_km"] = -1 - net.line.loc[8, "x_ohm_per_km"] = None - net.line.loc[8, "c_nf_per_km"] = "0" - net.trafo.loc[0, "vkr_percent"] = "-1" - net.trafo.loc[0, "pfe_kw"] = -1.5 - net.trafo.loc[0, "i0_percent"] = -0.001 - net.trafo3w.loc[0, "vkr_hv_percent"] = True - net.trafo3w.loc[0, "vkr_mv_percent"] = False - net.trafo3w.loc[0, "vkr_lv_percent"] = 1 - net.trafo3w.loc[0, "pfe_kw"] = "2" - net.trafo3w.loc[0, "i0_percent"] = 10 - net.load.loc[0, "scaling"] = -0.1 - net.load.loc[1, "scaling"] = 0 - net.load.loc[2, "scaling"] = 1 - net.load.loc[3, "scaling"] = "1" - net.gen.loc[0, "scaling"] = None - net.sgen.loc[0, "scaling"] = False - - diag_function = InvalidValues() - check_result = diag_function.diagnostic(net, **diag_params) - if check_result: - diag_results = {check_function: check_result} - else: - diag_results = {} - assert diag_results[check_function] == { - "gen": [(0, "scaling", "nan", ">=0")], - "line": [ - (7, "r_ohm_per_km", -1.0, ">=0"), - (8, "x_ohm_per_km", "nan", ">=0"), - (8, "c_nf_per_km", "0", ">=0"), - ], - "load": [(0, "scaling", -0.1, ">=0"), (3, "scaling", "1", ">=0")], - "sgen": [(0, "scaling", False, ">=0")], - "trafo": [ - (0, "vkr_percent", "-1", ">=0"), - (0, "vkr_percent", "-1", "<15"), - (0, 'vkr_percent', '-1', 'vkr_percent_larger'), - (0, "pfe_kw", -1.5, ">=0"), - (0, "i0_percent", -0.001, ">=0"), - ], - "trafo3w": [ - (0, "vkr_hv_percent", True, ">=0"), - (0, "vkr_mv_percent", False, ">=0"), - (0, "vkr_hv_percent", True, "<15"), - (0, "vkr_mv_percent", False, "<15"), - (0, "pfe_kw", "2", ">=0"), - ], - } - - check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) - - def test_boolean(self, test_net, diag_params, diag_errors): - net = copy.deepcopy(test_net) - check_function = "invalid_values" - net.sgen.loc[0, "in_service"] = 0 - net.sgen.loc[1, "in_service"] = 0.0 - net.sgen.loc[2, "in_service"] = "0" - net.sgen.loc[3, "in_service"] = "0.0" - net.sgen.loc[4, "in_service"] = 1 - net.gen.loc[0, "in_service"] = "1" - net.load.loc[0, "in_service"] = "10" - net.line.loc[0, "in_service"] = "-1" - net.bus.loc[0, "in_service"] = "no" - net.trafo.loc[0, "in_service"] = "True" - net.trafo3w.loc[0, "in_service"] = None - net.switch.loc[0, "closed"] = 0 - net.switch.loc[1, "closed"] = "False" - net.switch.loc[2, "closed"] = False - net.switch.loc[3, "closed"] = "False" - net.switch.loc[4, "closed"] = None - net.switch.loc[5, "closed"] = "10" - - diag_function = InvalidValues() - check_result = diag_function.diagnostic(net, **diag_params) - if check_result: - diag_results = {check_function: check_result} - else: - diag_results = {} - assert diag_results[check_function] == { - "bus": [(0, "in_service", "no", "boolean")], - "gen": [(0, "in_service", "1", "boolean")], - "line": [(0, "in_service", "-1", "boolean")], - "load": [(0, "in_service", "10", "boolean")], - "sgen": [(2, "in_service", "0", "boolean"), (3, "in_service", "0.0", "boolean")], - "switch": [ - (1, "closed", "False", "boolean"), - (3, "closed", "False", "boolean"), - (4, "closed", "None", "boolean"), - (5, "closed", "10", "boolean"), - ], - "trafo": [(0, "in_service", "True", "boolean")], - "trafo3w": [(0, "in_service", "nan", "boolean")], - } - - check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) - - def test_pos_int(self, test_net, diag_params, diag_errors): - net = copy.deepcopy(test_net) - check_function = "invalid_values" - diag_params = copy.deepcopy(diag_params) - net.line.loc[7, "from_bus"] = 1 - net.line.loc[8, "to_bus"] = "2" - net.trafo.loc[0, "hv_bus"] = False - net.trafo.loc[0, "lv_bus"] = None - net.trafo3w.loc[0, "hv_bus"] = False - net.trafo3w.loc[0, "mv_bus"] = 0.5 - net.trafo3w.loc[0, "lv_bus"] = 2 - net.load.loc[0, "bus"] = True - net.sgen.loc[0, "bus"] = 1.5 - net.gen.loc[0, "bus"] = np.nan - net.ext_grid.loc[0, "bus"] = -2.5 - net.switch.loc[0, "bus"] = None - net.switch.loc[0, "element"] = -1.5 - - diag_function = InvalidValues() - check_result = diag_function.diagnostic(net, **diag_params) - if check_result: - diag_results = {check_function: check_result} - else: - diag_results = {} - assert diag_results[check_function] == { - "ext_grid": [(0, "bus", -2.5, "positive_integer")], - "gen": [(0, "bus", "nan", "positive_integer")], - "line": [(8, "to_bus", "2", "positive_integer")], - "load": [(0, "bus", True, "positive_integer")], - "sgen": [(0, "bus", 1.5, "positive_integer")], - "switch": [(0, "bus", "nan", "positive_integer"), (0, "element", -1.5, "positive_integer")], - "trafo": [(0, "hv_bus", False, "positive_integer"), (0, "lv_bus", "nan", "positive_integer")], - "trafo3w": [(0, "hv_bus", False, "positive_integer"), (0, "mv_bus", 0.5, "positive_integer")], - } - - check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) - - def test_number(self, test_net, diag_params, diag_errors): - net = copy.deepcopy(test_net) - check_function = "invalid_values" - diag_params = copy.deepcopy(diag_params) - net.load.loc[0, "p_mw"] = "1000" - net.load.loc[1, "q_mvar"] = None - net.gen.loc[0, "p_mw"] = False - net.sgen.loc[0, "p_mw"] = -1.5 - net.sgen.loc[1, "q_mvar"] = np.nan - net.ext_grid.loc[0, "va_degree"] = 13.55 - - diag_function = InvalidValues() - check_result = diag_function.diagnostic(net, **diag_params) - if check_result: - diag_results = {check_function: check_result} - else: - diag_results = {} - assert diag_results[check_function] == { - "gen": [(0, "p_mw", False, "number")], - "load": [(0, "p_mw", "1000", "number"), (1, "q_mvar", "nan", "number")], - "sgen": [(1, "q_mvar", "nan", "number")], - } - - check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) - - def test_between_zero_and_one(self, test_net, diag_params, diag_errors): - net = copy.deepcopy(test_net) - check_function = "invalid_values" - diag_params = copy.deepcopy(diag_params) - net.line.loc[0, "df"] = 1.5 - - diag_function = InvalidValues() - check_result = diag_function.diagnostic(net, **diag_params) - if check_result: - diag_results = {check_function: check_result} - else: - diag_results = {} - assert diag_results[check_function] == {"line": [(0, "df", 1.5, "0 diag_params["numba_tolerance"] - - check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) - - -def test_parallel_switches(test_net, diag_params, diag_errors): - net = copy.deepcopy(test_net) - check_function = "parallel_switches" - diag_params = copy.deepcopy(diag_params) - create_switch(net, 1, 2, et="b") - create_switch(net, 13, 0, et="t", closed=False) - create_switch(net, 13, 0, et="t") - create_switch(net, 47, 16, et="l") - create_switch(net, 13, 0, et="b") - - diag_function = ParallelSwitches() - check_result = diag_function.diagnostic(net, **diag_params) - if check_result: - diag_results = {check_function: check_result} - else: - diag_results = {} - assert diag_results[check_function] == [[0, 88], [84, 89, 90], [66, 91]] - - check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) - - -def test_missing_bus_indices(test_net, diag_params, diag_errors): - net = copy.deepcopy(test_net) - check_function = "missing_bus_indices" - diag_params = copy.deepcopy(diag_params) - net.line.from_bus.iat[0] = 10000 - net.trafo.lv_bus.iat[0] = 10001 - net.trafo3w.mv_bus.iat[0] = 10002 - net.switch.bus.iat[0] = 10003 - net.switch.element.iat[0] = 10004 - net.ext_grid.bus.iloc[0] = 10005 - diag_function = MissingBusIndices() - check_result = diag_function.diagnostic(net, **diag_params) - if check_result: - diag_results = {check_function: check_result} - else: - diag_results = {} - - assert diag_results[check_function] == { - "ext_grid": [(0, "bus", 10005)], - "line": [(0, "from_bus", 10000)], - "switch": [(0, "bus", 10003), (0, "element", 10004)], - "trafo": [(0, "lv_bus", 10001)], - "trafo3w": [(0, "mv_bus", 10002)], - } - - check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) - - -def test_runpp_errors(test_net, diag_params, diag_errors): - net = copy.deepcopy(test_net) - net.load.p_mw *= 100 - Diagnostic().diagnose_network(net, report_style=None) - - -def test_check_dc_powerflow_report_without_diagnostic(): - net = example_simple() - check = CheckDCPowerflow() - check.report(None, None) - check.report(net, None) - - -def test_disable_voltage_dependent_loads_report_without_diagnostic(): - net = example_simple() - check = DisableVoltageDependentLoads() - check.report(None, None) - check.report(net, None) - - -def test_wrong_line_reactance_report(): - net = example_simple() - check = WrongLineReactance() - check.report(net, None) - - -def test_wrong_line_resistance_report(): - net = example_simple() - check = WrongLineResistance() - check.report(net, None) - - -def test_sub_net_problem_test_with_zones(): - net = example_simple() - net.bus["zone"] = 0 - check = SubNetProblemTest() - check.diagnostic(net) - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import copy +from typing import Callable + +import pytest +import numpy as np + +from pandapower.network import pandapowerNet +from pandapower.create import create_ext_grid, create_switch +from pandapower.toolbox.grid_modification import drop_trafos, change_std_type +from pandapower.networks import example_multivoltage, example_simple +from pandapower.diagnostic.diagnostic import Diagnostic +from pandapower.diagnostic.diagnostic_helpers import DiagnosticFunction +from pandapower.diagnostic.diagnostic_functions import ( + InvalidValues, + NoExtGrid, + MultipleVoltageControllingElementsPerBus, + ParallelSwitches, + Overload, + WrongSwitchConfiguration, + DifferentVoltageLevelsConnected, + ImplausibleImpedanceValues, + NominalVoltagesMismatch, + WrongReferenceSystem, + DisconnectedElements, + DeviationFromStdType, + NumbaComparison, + MissingBusIndices, + CheckDCPowerflow, + DisableVoltageDependentLoads, + WrongLineCapacitance, + WrongLineResistance, + WrongLineReactance, + SubNetProblemTest, + OptimisticPowerflow +) + +try: + import numba + + numba_installed = True +except ImportError: + numba_installed = False + +pytestmark = pytest.mark.filterwarnings("ignore") + + +@pytest.fixture(scope="function") +def diag_errors(): + return {} + + +@pytest.fixture(scope="function") +def diag_params(): + return { + "overload_scaling_factor": 0.001, + "min_r_ohm": 0.001, + "min_x_ohm": 0.001, + "min_r_pu": 1e-05, + "min_x_pu": 1e-05, + "nom_voltage_tolerance": 0.3, + "numba_tolerance": 1e-8, + } + + +@pytest.fixture(scope="module") +def test_net(): + return example_multivoltage() + + +diag_functions: list[Callable] = [ + MissingBusIndices, + DisconnectedElements, + DifferentVoltageLevelsConnected, + ImplausibleImpedanceValues, + NominalVoltagesMismatch, + InvalidValues, + Overload, + MultipleVoltageControllingElementsPerBus, + WrongSwitchConfiguration, + NoExtGrid, + WrongReferenceSystem, + DeviationFromStdType, + NumbaComparison, + ParallelSwitches, + CheckDCPowerflow, + DisableVoltageDependentLoads, + WrongLineCapacitance, + WrongLineReactance, + WrongLineResistance, + SubNetProblemTest, +] + + +def check_report_function(func: DiagnosticFunction, error, result): + try: + func.report(error, result) + except Exception as e: + raise AssertionError(f"Report function '{func.__class__.__name__}' failed: {e}") + + +@pytest.mark.parametrize("diag_function", diag_functions) +def test_no_issues(diag_params, diag_errors, diag_function): + net = example_simple() + diag = Diagnostic() + diag_results = diag.diagnose_network(net, report_style=None) + assert diag_results == {} + check_report_function(diag_function(), None, None) + + +class TestInvalidValues: + def test_greater_zero(self, test_net, diag_params, diag_errors): + net = copy.deepcopy(test_net) + check_function = "invalid_values" + net.bus.loc[42, "vn_kv"] = "-1" + net.line.loc[7, "length_km"] = -1 + net.line.loc[8, "max_i_ka"] = 0 + net.trafo.loc[0, "vk_percent"] = 0.0 + net.trafo.loc[0, "sn_mva"] = None + net.trafo.loc[0, "vn_hv_kv"] = -1.5 + net.trafo.loc[0, "vn_lv_kv"] = False + net.trafo3w.loc[0, "vk_hv_percent"] = 2.3 + net.trafo3w.loc[0, "vk_mv_percent"] = np.nan + net.trafo3w.loc[0, "vk_lv_percent"] = 0.0 + net.trafo3w.loc[0, "vkr_lv_percent"] = 1.0 + net.trafo3w.loc[0, "sn_hv_mva"] = 11 + net.trafo3w.loc[0, "sn_mv_mva"] = "a" + net.trafo3w.loc[0, "vn_hv_kv"] = -1.5 + net.trafo3w.loc[0, "vn_mv_kv"] = -1.5 + net.trafo3w.loc[0, "vn_lv_kv"] = False + net.ext_grid.loc[0, "vm_pu"] = True + + diag_function = InvalidValues() + check_result = diag_function.diagnostic(net, **diag_params) + if check_result: + diag_results = {check_function: check_result} + else: + diag_results = {} + + assert diag_results[check_function] == { + "bus": [(42, "vn_kv", "-1", ">0")], + "ext_grid": [(0, "vm_pu", True, ">0")], + "line": [(7, "length_km", -1.0, ">0"), (8, "max_i_ka", 0.0, ">0")], + "trafo": [ + (0, "sn_mva", "nan", ">0"), + (0, "vn_hv_kv", -1.5, ">0"), + (0, "vn_lv_kv", False, ">0"), + (0, "vk_percent", 0.0, ">0"), + (0, 'vkr_percent', 0.06, 'vkr_percent_larger') + ], + "trafo3w": [ + (0, "sn_mv_mva", "a", ">0"), + (0, "vn_hv_kv", -1.5, ">0"), + (0, "vn_mv_kv", -1.5, ">0"), + (0, "vn_lv_kv", False, ">0"), + (0, "vkr_lv_percent", 1.0, "vkr_percent_larger"), + (0, "vk_mv_percent", "nan", ">0"), + (0, "vk_lv_percent", 0.0, ">0"), + (0, "vk_mv_percent", "nan", "<20"), + ], + } + + check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) + + def test_greater_equal_zero(self, test_net, diag_params, diag_errors): + net = copy.deepcopy(test_net) + check_function = "invalid_values" + net.line.loc[7, "r_ohm_per_km"] = -1 + net.line.loc[8, "x_ohm_per_km"] = None + net.line.loc[8, "c_nf_per_km"] = "0" + net.trafo.loc[0, "vkr_percent"] = "-1" + net.trafo.loc[0, "pfe_kw"] = -1.5 + net.trafo.loc[0, "i0_percent"] = -0.001 + net.trafo3w.loc[0, "vkr_hv_percent"] = True + net.trafo3w.loc[0, "vkr_mv_percent"] = False + net.trafo3w.loc[0, "vkr_lv_percent"] = 1 + net.trafo3w.loc[0, "pfe_kw"] = "2" + net.trafo3w.loc[0, "i0_percent"] = 10 + net.load.loc[0, "scaling"] = -0.1 + net.load.loc[1, "scaling"] = 0 + net.load.loc[2, "scaling"] = 1 + net.load.loc[3, "scaling"] = "1" + net.gen.loc[0, "scaling"] = None + net.sgen.loc[0, "scaling"] = False + + diag_function = InvalidValues() + check_result = diag_function.diagnostic(net, **diag_params) + if check_result: + diag_results = {check_function: check_result} + else: + diag_results = {} + assert diag_results[check_function] == { + "gen": [(0, "scaling", "nan", ">=0")], + "line": [ + (7, "r_ohm_per_km", -1.0, ">=0"), + (8, "x_ohm_per_km", "nan", ">=0"), + (8, "c_nf_per_km", "0", ">=0"), + ], + "load": [(0, "scaling", -0.1, ">=0"), (3, "scaling", "1", ">=0")], + "sgen": [(0, "scaling", False, ">=0")], + "trafo": [ + (0, "vkr_percent", "-1", ">=0"), + (0, "vkr_percent", "-1", "<15"), + (0, 'vkr_percent', '-1', 'vkr_percent_larger'), + (0, "pfe_kw", -1.5, ">=0"), + (0, "i0_percent", -0.001, ">=0"), + ], + "trafo3w": [ + (0, "vkr_hv_percent", True, ">=0"), + (0, "vkr_mv_percent", False, ">=0"), + (0, "vkr_hv_percent", True, "<15"), + (0, "vkr_mv_percent", False, "<15"), + (0, "pfe_kw", "2", ">=0"), + ], + } + + check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) + + def test_boolean(self, test_net, diag_params, diag_errors): + net = copy.deepcopy(test_net) + check_function = "invalid_values" + net.sgen.loc[0, "in_service"] = 0 + net.sgen.loc[1, "in_service"] = 0.0 + net.sgen.loc[2, "in_service"] = "0" + net.sgen.loc[3, "in_service"] = "0.0" + net.sgen.loc[4, "in_service"] = 1 + net.gen.loc[0, "in_service"] = "1" + net.load.loc[0, "in_service"] = "10" + net.line.loc[0, "in_service"] = "-1" + net.bus.loc[0, "in_service"] = "no" + net.trafo.loc[0, "in_service"] = "True" + net.trafo3w.loc[0, "in_service"] = None + net.switch.loc[0, "closed"] = 0 + net.switch.loc[1, "closed"] = "False" + net.switch.loc[2, "closed"] = False + net.switch.loc[3, "closed"] = "False" + net.switch.loc[4, "closed"] = None + net.switch.loc[5, "closed"] = "10" + + diag_function = InvalidValues() + check_result = diag_function.diagnostic(net, **diag_params) + if check_result: + diag_results = {check_function: check_result} + else: + diag_results = {} + assert diag_results[check_function] == { + "bus": [(0, "in_service", "no", "boolean")], + "gen": [(0, "in_service", "1", "boolean")], + "line": [(0, "in_service", "-1", "boolean")], + "load": [(0, "in_service", "10", "boolean")], + "sgen": [(2, "in_service", "0", "boolean"), (3, "in_service", "0.0", "boolean")], + "switch": [ + (1, "closed", "False", "boolean"), + (3, "closed", "False", "boolean"), + (4, "closed", "None", "boolean"), + (5, "closed", "10", "boolean"), + ], + "trafo": [(0, "in_service", "True", "boolean")], + "trafo3w": [(0, "in_service", "nan", "boolean")], + } + + check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) + + def test_pos_int(self, test_net, diag_params, diag_errors): + net = copy.deepcopy(test_net) + check_function = "invalid_values" + diag_params = copy.deepcopy(diag_params) + net.line.loc[7, "from_bus"] = 1 + net.line.loc[8, "to_bus"] = "2" + net.trafo.loc[0, "hv_bus"] = False + net.trafo.loc[0, "lv_bus"] = None + net.trafo3w.loc[0, "hv_bus"] = False + net.trafo3w.loc[0, "mv_bus"] = 0.5 + net.trafo3w.loc[0, "lv_bus"] = 2 + net.load.loc[0, "bus"] = True + net.sgen.loc[0, "bus"] = 1.5 + net.gen.loc[0, "bus"] = np.nan + net.ext_grid.loc[0, "bus"] = -2.5 + net.switch.loc[0, "bus"] = None + net.switch.loc[0, "element"] = -1.5 + + diag_function = InvalidValues() + check_result = diag_function.diagnostic(net, **diag_params) + if check_result: + diag_results = {check_function: check_result} + else: + diag_results = {} + assert diag_results[check_function] == { + "ext_grid": [(0, "bus", -2.5, "positive_integer")], + "gen": [(0, "bus", "nan", "positive_integer")], + "line": [(8, "to_bus", "2", "positive_integer")], + "load": [(0, "bus", True, "positive_integer")], + "sgen": [(0, "bus", 1.5, "positive_integer")], + "switch": [(0, "bus", "nan", "positive_integer"), (0, "element", -1.5, "positive_integer")], + "trafo": [(0, "hv_bus", False, "positive_integer"), (0, "lv_bus", "nan", "positive_integer")], + "trafo3w": [(0, "hv_bus", False, "positive_integer"), (0, "mv_bus", 0.5, "positive_integer")], + } + + check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) + + def test_number(self, test_net, diag_params, diag_errors): + net = copy.deepcopy(test_net) + check_function = "invalid_values" + diag_params = copy.deepcopy(diag_params) + net.load.loc[0, "p_mw"] = "1000" + net.load.loc[1, "q_mvar"] = None + net.gen.loc[0, "p_mw"] = False + net.sgen.loc[0, "p_mw"] = -1.5 + net.sgen.loc[1, "q_mvar"] = np.nan + net.ext_grid.loc[0, "va_degree"] = 13.55 + + diag_function = InvalidValues() + check_result = diag_function.diagnostic(net, **diag_params) + if check_result: + diag_results = {check_function: check_result} + else: + diag_results = {} + assert diag_results[check_function] == { + "gen": [(0, "p_mw", False, "number")], + "load": [(0, "p_mw", "1000", "number"), (1, "q_mvar", "nan", "number")], + "sgen": [(1, "q_mvar", "nan", "number")], + } + + check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) + + def test_between_zero_and_one(self, test_net, diag_params, diag_errors): + net = copy.deepcopy(test_net) + check_function = "invalid_values" + diag_params = copy.deepcopy(diag_params) + net.line.loc[0, "df"] = 1.5 + + diag_function = InvalidValues() + check_result = diag_function.diagnostic(net, **diag_params) + if check_result: + diag_results = {check_function: check_result} + else: + diag_results = {} + assert diag_results[check_function] == {"line": [(0, "df", 1.5, "0 diag_params["numba_tolerance"] + + check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) + + +def test_parallel_switches(test_net, diag_params, diag_errors): + net = copy.deepcopy(test_net) + check_function = "parallel_switches" + diag_params = copy.deepcopy(diag_params) + create_switch(net, 1, 2, et="b") + create_switch(net, 13, 0, et="t", closed=False) + create_switch(net, 13, 0, et="t") + create_switch(net, 47, 16, et="l") + create_switch(net, 13, 0, et="b") + + diag_function = ParallelSwitches() + check_result = diag_function.diagnostic(net, **diag_params) + if check_result: + diag_results = {check_function: check_result} + else: + diag_results = {} + assert diag_results[check_function] == [[0, 88], [84, 89, 90], [66, 91]] + + check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) + + +def test_missing_bus_indices(test_net, diag_params, diag_errors): + net = copy.deepcopy(test_net) + check_function = "missing_bus_indices" + diag_params = copy.deepcopy(diag_params) + net.line.from_bus.iat[0] = 10000 + net.trafo.lv_bus.iat[0] = 10001 + net.trafo3w.mv_bus.iat[0] = 10002 + net.switch.bus.iat[0] = 10003 + net.switch.element.iat[0] = 10004 + net.ext_grid.bus.iloc[0] = 10005 + diag_function = MissingBusIndices() + check_result = diag_function.diagnostic(net, **diag_params) + if check_result: + diag_results = {check_function: check_result} + else: + diag_results = {} + + assert diag_results[check_function] == { + "ext_grid": [(0, "bus", 10005)], + "line": [(0, "from_bus", 10000)], + "switch": [(0, "bus", 10003), (0, "element", 10004)], + "trafo": [(0, "lv_bus", 10001)], + "trafo3w": [(0, "mv_bus", 10002)], + } + + check_report_function(diag_function, diag_errors.get(check_function, None), diag_results.get(check_function, None)) + + +def test_runpp_errors(test_net, diag_params, diag_errors): + net = copy.deepcopy(test_net) + net.load.p_mw *= 100 + Diagnostic().diagnose_network(net, report_style=None) + + +def test_check_dc_powerflow_report_without_diagnostic(): + net = example_simple() + check = CheckDCPowerflow() + check.report(None, None) + check.report(net, None) + + +def test_disable_voltage_dependent_loads_report_without_diagnostic(): + net = example_simple() + check = DisableVoltageDependentLoads() + check.report(None, None) + check.report(net, None) + + +def test_wrong_line_reactance_report(): + net = example_simple() + check = WrongLineReactance() + check.report(net, None) + + +def test_wrong_line_resistance_report(): + net = example_simple() + check = WrongLineResistance() + check.report(net, None) + + +def test_sub_net_problem_test_with_zones(): + net = example_simple() + net.bus["zone"] = 0 + check = SubNetProblemTest() + check.diagnostic(net) + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/api/test_file_io.py b/test/api/test_file_io.py similarity index 97% rename from pandapower/test/api/test_file_io.py rename to test/api/test_file_io.py index de1a6c601c..063b950f86 100644 --- a/pandapower/test/api/test_file_io.py +++ b/test/api/test_file_io.py @@ -11,7 +11,7 @@ import pytest from pandas.testing import assert_frame_equal, assert_series_equal -from pandapower import pp_dir, pandapowerNet +from pandapower import pandapowerNet from pandapower.control import ( DiscreteTapControl, ConstControl, ContinuousTapControl, Characteristic, SplineCharacteristic ) @@ -22,7 +22,6 @@ from pandapower.networks import mv_oberrhein, simple_four_bus_system, case9, case14, create_kerber_dorfnetz from pandapower.run import set_user_pf_options, runpp from pandapower.sql_io import to_sqlite, from_sqlite -from pandapower.test.helper_functions import assert_net_equal, create_test_network, create_test_network2 from pandapower.timeseries import DFData from pandapower.toolbox.comparison import nets_equal, dataframes_equal from pandapower.topology.create_graph import create_nxgraph @@ -58,6 +57,8 @@ except ImportError: SHAPELY_INSTALLED = False +from test import test_path +from test.helper_functions import assert_net_equal, create_test_network, create_test_network2 @pytest.fixture(params=[1]) def net_in(request): @@ -70,7 +71,7 @@ def net_in(request): @pytest.fixture() def net_charactistics(): - return from_json(os.path.join(pp_dir, "test", "test_files", "from_excel_characteristics.json")) + return from_json(os.path.join(test_path, "test_files", "from_excel_characteristics.json")) def test_pickle(net_in, tmp_path): @@ -144,7 +145,7 @@ def test_json_controller_none(): """ empty net with controller containing Nan/None can't be loaded """ - from_json(os.path.join(pp_dir, 'test', 'test_files', 'controller_containing_NoneNan.json'), convert=False) + from_json(os.path.join(test_path, 'test_files', 'controller_containing_NoneNan.json'), convert=False) def test_json(net_in, tmp_path): @@ -229,7 +230,7 @@ def test_sqlite_workaround(net_in, tmp_path): def test_convert_format(): # TODO what is this thing testing ? - net = from_pickle(os.path.join(pp_dir, "test", "api", "old_net.p")) + net = from_pickle(os.path.join(test_path, "api", "old_net.p")) runpp(net) assert net.converged @@ -479,14 +480,14 @@ def test_replace_elements_json_string(net_in): ConstControl(net_orig, 'load', 'p_mw', 0) json_string = to_json(net_orig) net_load = from_json_string(json_string, replace_elements={ - r'pandapower.control.controller.const_control': r'pandapower.test.api.input_files.test_control', - r'ConstControl': r'MyTestControl' + r'pandapower.control.controller.const_control': r'test.api.input_files.test_control', + r'ConstControl': r'MyTestControl' }) assert net_orig.controller.at[0, 'object'] != net_load.controller.at[0, 'object'] assert not nets_equal(net_orig, net_load) net_load = from_json_string(json_string, replace_elements={ - r'pandapower.control.controller.const_control': r'pandapower.test.api.input_files.test_control' + r'pandapower.control.controller.const_control': r'test.api.input_files.test_control' }) assert net_orig.controller.at[0, 'object'] == net_load.controller.at[0, 'object'] assert nets_equal(net_orig, net_load) diff --git a/pandapower/test/api/test_group.py b/test/api/test_group.py similarity index 99% rename from pandapower/test/api/test_group.py rename to test/api/test_group.py index ef8fe949fb..19a93a5c4c 100644 --- a/pandapower/test/api/test_group.py +++ b/test/api/test_group.py @@ -292,8 +292,7 @@ def test_attach_to_group(nets_to_test_group): assert set(net.group.loc[[idxs[1]]].element_type.tolist()) == {"gen", "sgen", "trafo"} with pytest.raises( - UserWarning, - match=r"Cannot create group with xward members Index\(\[\'?0\'?\], dtype='(?:int64|object)'\)\." + UserWarning, match=r"Cannot create group with xward members Index\(\[\'?0\'?\], dtype='(?:int64|object)'\)\." ): attach_to_group(net, idxs[1], ["xward"], [typed_list([0], type_)], reference_columns=rc) diff --git a/pandapower/test/contingency/__init__.py b/test/api/test_opf_costfcn.py similarity index 100% rename from pandapower/test/contingency/__init__.py rename to test/api/test_opf_costfcn.py diff --git a/pandapower/test/api/test_sql_io.py b/test/api/test_sql_io.py similarity index 98% rename from pandapower/test/api/test_sql_io.py rename to test/api/test_sql_io.py index b666c39a8a..496db6de15 100644 --- a/pandapower/test/api/test_sql_io.py +++ b/test/api/test_sql_io.py @@ -3,12 +3,13 @@ import os import copy +import time +import json import pandas as pd import pandas.testing as pdt import numpy as np import pytest -import time from pandapower import reset_results, runpp from pandapower.networks import case9, case14, case39, simple_mv_open_ring_net, create_cigre_network_hv, mv_oberrhein @@ -17,7 +18,7 @@ from pandapower.sql_io import ( download_sql_table, to_postgresql, from_postgresql, delete_postgresql_net, PSYCOPG_INSTALLED ) -from pandapower.test import assert_res_equal +from test.helper_functions import assert_res_equal if PSYCOPG_INSTALLED: import psycopg diff --git a/pandapower/test/api/test_std_types.py b/test/api/test_std_types.py similarity index 97% rename from pandapower/test/api/test_std_types.py rename to test/api/test_std_types.py index ba7be95b9b..2f6d54aa5e 100644 --- a/pandapower/test/api/test_std_types.py +++ b/test/api/test_std_types.py @@ -1,413 +1,413 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import pytest - -from pandapower.create import ( - create_bus, - create_buses, - create_transformer3w, - create_line, - create_line_from_parameters -) -from pandapower.network import pandapowerNet -from pandapower.networks import simple_mv_open_ring_net -from pandapower.std_types import ( - add_temperature_coefficient, - change_std_type, - copy_std_types, - create_std_type, - create_std_types, - delete_std_type, - find_std_type_alternative, - find_std_type_by_parameter, - load_std_type, - parameter_from_std_type, - rename_std_type, - std_type_exists, -) - - -def test_create_and_load_std_type_line(): - net = pandapowerNet(name="test_create_and_load_std_type_line") - c = 40 - r = 0.01 - x = 0.02 - i = 0.2 - name = "test_line" - - typdata = {} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="line") - - typdata = {"c_nf_per_km": c} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="line") - - typdata = {"c_nf_per_km": c, "r_ohm_per_km": r} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="line") - - typdata = {"c_nf_per_km": c, "r_ohm_per_km": r, "x_ohm_per_km": x} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="line") - - typdata = {"c_nf_per_km": c, "r_ohm_per_km": r, "x_ohm_per_km": x, "max_i_ka": i} - create_std_type(net, name=name, data=typdata, element="line") - assert net.std_types["line"][name] == typdata - - loaded_type = load_std_type(net, name) - assert loaded_type == typdata - - -def test_create_std_types_line(): - net = pandapowerNet(name="test_create_std_types_line") - c = 40 - r = 0.01 - x = 0.02 - i = 0.2 - - typdata = {"c_nf_per_km": c, "r_ohm_per_km": r, "x_ohm_per_km": x, "max_i_ka": i} - - typdatas = {"typ1": typdata, "typ2": typdata} - create_std_types(net, data=typdatas, element="line") - assert net.std_types["line"]["typ1"] == typdata - assert net.std_types["line"]["typ1"] == typdata - - -def test_create_std_types_from_net_line(): - net1 = pandapowerNet(name="test_create_std_types_from_net_line 0") - net2 = pandapowerNet(name="test_create_std_types_from_net_line 1") - - c = 40 - r = 0.01 - x = 0.02 - i = 0.2 - - typdata = {"c_nf_per_km": c, "r_ohm_per_km": r, "x_ohm_per_km": x, "max_i_ka": i, - "additional": 8} - create_std_type(net1, typdata, "test_copy") - copy_std_types(net2, net1, element="line") - assert std_type_exists(net2, "test_copy") - - -def test_create_and_load_std_type_trafo(): - net = pandapowerNet(name="test_create_and_load_std_type_trafo") - sn_mva = 40 - vn_hv_kv = 110 - vn_lv_kv = 20 - vk_percent = 5. - vkr_percent = 2. - pfe_kw=50 - i0_percent = 0.1 - shift_degree = 30 - name = "test_trafo" - - typdata = {"sn_mva": sn_mva} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo") - - typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo") - - typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo") - - typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_percent": vk_percent} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo") - - typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_percent": vk_percent, - "vkr_percent": vkr_percent} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo") - - typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_percent": vk_percent, - "vkr_percent": vkr_percent, "pfe_kw": pfe_kw} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo") - - typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_percent": vk_percent, - "vkr_percent": vkr_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo") - typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_percent": vk_percent, - "vkr_percent": vkr_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent, - "shift_degree": shift_degree} - create_std_type(net, name=name, data=typdata, element="trafo") - assert net.std_types["trafo"][name] == typdata - - loaded_type = load_std_type(net, name, element="trafo") - assert loaded_type == typdata - - -def test_create_and_load_std_type_trafo3w(): - net = pandapowerNet(name="test_create_and_load_std_type_trafo3w") - sn_hv_mva = 40; sn_mv_mva = 20; sn_lv_mva = 20 - vn_hv_kv = 110; vn_mv_kv = 50; vn_lv_kv = 20 - vk_hv_percent = 5.; vk_mv_percent = 5.; vk_lv_percent = 5. - vkr_hv_percent = 2.; vkr_mv_percent = 2.; vkr_lv_percent = 2. - pfe_kw=50 - i0_percent = 0.1 - shift_mv_degree = 30; shift_lv_degree = 30 - name = "test_trafo3w" - - typdata = {"sn_hv_mva": sn_hv_mva} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo3w") - - typdata = {"sn_mv_mva": sn_mv_mva, "vn_hv_kv": vn_hv_kv} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo3w") - - typdata = {"sn_lv_mva": sn_lv_mva, "vn_mv_kv": vn_mv_kv, "vn_lv_kv": vn_lv_kv} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo3w") - - typdata = {"sn_mv_mva": sn_mv_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_hv_percent": vk_hv_percent} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo3w") - - typdata = {"sn_hv_mva": sn_hv_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_mv_percent": vk_mv_percent, - "vkr_hv_percent": vkr_hv_percent} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo3w") - - typdata = {"sn_hv_mva": sn_hv_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_lv_percent": vk_lv_percent, - "vkr_mv_percent": vkr_mv_percent, "pfe_kw": pfe_kw} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo3w") - - typdata = {"sn_hv_mva": sn_hv_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_hv_percent": vk_hv_percent, - "vkr_lv_percent": vkr_lv_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo3w") - typdata = {"sn_hv_mva": sn_hv_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_hv_percent": vk_hv_percent, - "vkr_hv_percent": vkr_hv_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent, - "shift_mv_degree": shift_mv_degree} - with pytest.raises(UserWarning): - create_std_type(net, name=name, data=typdata, element="trafo3w") - typdata = {"vn_hv_kv": vn_hv_kv, "vn_mv_kv": vn_mv_kv, "vn_lv_kv": vn_lv_kv, "sn_hv_mva": sn_hv_mva, - "sn_mv_mva": sn_mv_mva, "sn_lv_mva": sn_lv_mva, "vk_hv_percent": vk_hv_percent, "vk_mv_percent": vk_mv_percent, - "vk_lv_percent": vk_lv_percent, "vkr_hv_percent": vkr_hv_percent, "vkr_mv_percent": vkr_mv_percent, - "vkr_lv_percent": vkr_lv_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent, - "shift_mv_degree":shift_mv_degree, "shift_lv_degree": shift_lv_degree} - create_std_type(net, name=name, data=typdata, element="trafo3w") - assert net.std_types["trafo3w"][name] == typdata - - loaded_type = load_std_type(net, name, element="trafo3w") - assert loaded_type == typdata - - -def test_create_std_types_trafo(): - net = pandapowerNet(name="test_create_std_types_trafo") - sn_mva = 40 - vn_hv_kv = 110 - vn_lv_kv = 20 - vk_percent = 5. - vkr_percent = 2. - pfe_kw=50 - i0_percent = 0.1 - shift_degree = 30 - - typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_percent": vk_percent, - "vkr_percent": vkr_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent, - "shift_degree": shift_degree} - typdatas = {"typ1": typdata, "typ2": typdata} - create_std_types(net, data=typdatas, element="trafo") - assert net.std_types["trafo"]["typ1"] == typdata - assert net.std_types["trafo"]["typ2"] == typdata - - -def test_create_std_types_trafo3w(): - net = pandapowerNet(name="test_create_std_types_trafo3w") - sn_hv_mva = 40; sn_mv_mva = 20; sn_lv_mva = 20 - vn_hv_kv = 110; vn_mv_kv = 50; vn_lv_kv = 20 - vk_hv_percent = 5.; vk_mv_percent = 5.; vk_lv_percent = 5. - vkr_hv_percent = 2.; vkr_mv_percent = 2.; vkr_lv_percent = 2. - pfe_kw=50 - i0_percent = 0.1 - shift_mv_degree = 30; shift_lv_degree = 30 - - typdata = {"vn_hv_kv": vn_hv_kv, "vn_mv_kv": vn_mv_kv, "vn_lv_kv": vn_lv_kv, "sn_hv_mva": sn_hv_mva, - "sn_mv_mva": sn_mv_mva, "sn_lv_mva": sn_lv_mva, "vk_hv_percent": vk_hv_percent, "vk_mv_percent": vk_mv_percent, - "vk_lv_percent": vk_lv_percent, "vkr_hv_percent": vkr_hv_percent, "vkr_mv_percent": vkr_mv_percent, - "vkr_lv_percent": vkr_lv_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent, - "shift_mv_degree":shift_mv_degree, "shift_lv_degree": shift_lv_degree} - - typdatas = {"typ1": typdata, "typ2": typdata} - create_std_types(net, data=typdatas, element="trafo3w") - assert net.std_types["trafo3w"]["typ1"] == typdata - assert net.std_types["trafo3w"]["typ2"] == typdata - - -def test_find_line_type(): - net = pandapowerNet(name="test_find_line_type") - c = 40000 - r = 1.5 - x = 2.0 - i = 10 - name = "test_line1" - typdata = {"c_nf_per_km": c, "r_ohm_per_km": r, "x_ohm_per_km": x, "max_i_ka": i} - create_std_type(net, data=typdata, name=name, element="line") - - fitting_type = find_std_type_by_parameter(net, typdata) - assert len(fitting_type) == 1 - assert fitting_type[0] == name - - fitting_type = find_std_type_by_parameter(net, {"r_ohm_per_km":r+0.05}, epsilon=.06) - assert len(fitting_type) == 1 - assert fitting_type[0] == name - - -def test_find_std_alternative(): - r = 0.642 - ## {'NAYY 4x50 SE': {'c_nf_per_km': 210, 'r_ohm_per_km': 0.642, 'x_ohm_per_km': 0.083, 'max_i_ka': 0.142, 'voltage_rating': 'LV'} - # Assuming we are looking for the cable NAYY 4X50 SE with a maximum ampacity of 0.142 A - name ='NAYY 4x50 SE' - fitting_type = find_std_type_alternative(data = {"r_ohm_per_km":r+0.05}, voltage_rating ="LV", epsilon=0.06) - assert len(fitting_type) == 1 - assert fitting_type[0] == name - - fitting_type = find_std_type_alternative(data = {"r_ohm_per_km":r+0.07}, voltage_rating ="LV", epsilon=0.06) - assert len(fitting_type) == 0 - - fitting_type = find_std_type_alternative(data = {"r_ohm_per_km":r+0.07}, voltage_rating ="MV", epsilon=0.06) - assert len(fitting_type) == 0 - - -def test_change_type_line(): - net = pandapowerNet(name="test_change_type_line") - r1 = 0.01 - x1 = 0.02 - c1 = 40 - i1 = 0.2 - name1 = "test_line1" - typ1 = {"c_nf_per_km": c1, "r_ohm_per_km": r1, "x_ohm_per_km": x1, "max_i_ka": i1} - create_std_type(net, data=typ1, name=name1, element="line") - - r2 = 0.02 - x2 = 0.04 - c2 = 20 - i2 = 0.4 - name2 = "test_line2" - typ2 = {"c_nf_per_km": c2, "r_ohm_per_km": r2, "x_ohm_per_km": x2, "max_i_ka": i2} - create_std_type(net, data=typ2, name=name2, element="line") - - b1 = create_bus(net, vn_kv=0.4) - b2 = create_bus(net, vn_kv=0.4) - lid = create_line(net, b1, b2, 1., std_type=name1) - assert net.line.r_ohm_per_km.at[lid] == r1 - assert net.line.x_ohm_per_km.at[lid] == x1 - assert net.line.c_nf_per_km.at[lid] == c1 - assert net.line.max_i_ka.at[lid] == i1 - assert net.line.std_type.at[lid] == name1 - - change_std_type(net, lid, name2) - - assert net.line.r_ohm_per_km.at[lid] == r2 - assert net.line.x_ohm_per_km.at[lid] == x2 - assert net.line.c_nf_per_km.at[lid] == c2 - assert net.line.max_i_ka.at[lid] == i2 - assert net.line.std_type.at[lid] == name2 - - -def test_parameter_from_std_type_line(): - net = pandapowerNet(name="test_parameter_from_std_type_line") - r1 = 0.01 - x1 = 0.02 - c1 = 40 - i1 = 0.2 - name1 = "test_line1" - typ1 = {"c_nf_per_km": c1, "r_ohm_per_km": r1, "x_ohm_per_km": x1, "max_i_ka": i1} - create_std_type(net, data=typ1, name=name1, element="line") - - r2 = 0.02 - x2 = 0.04 - c2 = 20 - i2 = 0.4 - endtemp2 = 40 - - endtemp_fill = 20 - - name2 = "test_line2" - typ2 = {"c_nf_per_km": c2, "r_ohm_per_km": r2, "x_ohm_per_km": x2, "max_i_ka": i2, - "endtemp_degree": endtemp2} - create_std_type(net, data=typ2, name=name2, element="line") - - b1 = create_bus(net, vn_kv=0.4) - b2 = create_bus(net, vn_kv=0.4) - lid1 = create_line(net, b1, b2, 1., std_type=name1) - lid2 = create_line(net, b1, b2, 1., std_type=name2) - lid3 = create_line_from_parameters(net, b1, b2, 1., r_ohm_per_km=0.03, x_ohm_per_km=0.04, - c_nf_per_km=20, max_i_ka=0.3) - - parameter_from_std_type(net, "endtemp_degree", fill=endtemp_fill) - assert net.line.endtemp_degree.at[lid1] == endtemp_fill #type1 one has not specified an endtemp - assert net.line.endtemp_degree.at[lid2] == endtemp2 #type2 has specified endtemp - assert net.line.endtemp_degree.at[lid3] == endtemp_fill #line3 has no standard type - - net.line.at[lid3, "endtemp_degree"] = 10 - parameter_from_std_type(net, "endtemp_degree", fill=endtemp_fill) - assert net.line.endtemp_degree.at[lid3] == 10 #check that existing values arent overwritten - - -def test_add_temperature_coefficient(): - net = simple_mv_open_ring_net() - add_temperature_coefficient(net) - assert "alpha" in net.line.columns - assert all(net.line.alpha == 4.03e-3) - - -def test_delete_std_type(): - net = pandapowerNet(name="test_delete_std_type") - trafo3w_types = set(net.std_types["trafo3w"].keys()) - existing_trafo3w_std_type = sorted(trafo3w_types)[0] - delete_std_type(net, existing_trafo3w_std_type, "trafo3w") - assert trafo3w_types == set(net.std_types["trafo3w"].keys()) | {existing_trafo3w_std_type} - - -def test_rename_std_type(): - net = pandapowerNet(name="test_rename_std_type") - existing_line_std_type = sorted(net.std_types["line"].keys())[0] - existing_line_std_type2 = sorted(net.std_types["line"].keys())[1] - existing_trafo3w_std_type = sorted(net.std_types["trafo3w"].keys())[0] - tr3w_std_type_params = load_std_type(net, existing_trafo3w_std_type, "trafo3w") - - vn_kvs = [tr3w_std_type_params["vn_hv_kv"], tr3w_std_type_params["vn_hv_kv"], - tr3w_std_type_params["vn_mv_kv"], tr3w_std_type_params["vn_lv_kv"]] - create_buses(net, 4, vn_kvs) - create_line(net, 0, 1, 1.2, existing_line_std_type) - create_line(net, 0, 1, 1.2, existing_line_std_type2) - create_transformer3w(net, 0, 2, 3, existing_trafo3w_std_type) - - rename_std_type(net, existing_line_std_type, "new_line_std_type") - rename_std_type(net, existing_trafo3w_std_type, "new_trafo3w_std_type", "trafo3w") - - assert existing_line_std_type not in net.std_types["line"].keys() - assert "new_line_std_type" in net.std_types["line"].keys() - assert (net.line.std_type == existing_line_std_type).sum() == 0 - assert (net.line.std_type == "new_line_std_type").sum() == 1 - - assert existing_line_std_type not in net.std_types["trafo3w"].keys() - assert "new_trafo3w_std_type" in net.std_types["trafo3w"].keys() - assert (net.trafo3w.std_type == existing_line_std_type).sum() == 0 - assert (net.trafo3w.std_type == "new_trafo3w_std_type").sum() == 1 - - try: - rename_std_type(net, "abcdefghijklmnop", "new_line_std_type2") - assert False, "an error is expected" - except UserWarning: - pass - try: - rename_std_type(net, existing_line_std_type2, "new_line_std_type") - assert False, "an error is expected" - except UserWarning: - pass - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import pytest + +from pandapower.create import ( + create_bus, + create_buses, + create_transformer3w, + create_line, + create_line_from_parameters +) +from pandapower.network import pandapowerNet +from pandapower.networks import simple_mv_open_ring_net +from pandapower.std_types import ( + add_temperature_coefficient, + change_std_type, + copy_std_types, + create_std_type, + create_std_types, + delete_std_type, + find_std_type_alternative, + find_std_type_by_parameter, + load_std_type, + parameter_from_std_type, + rename_std_type, + std_type_exists, +) + + +def test_create_and_load_std_type_line(): + net = pandapowerNet(name="test_create_and_load_std_type_line") + c = 40 + r = 0.01 + x = 0.02 + i = 0.2 + name = "test_line" + + typdata = {} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="line") + + typdata = {"c_nf_per_km": c} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="line") + + typdata = {"c_nf_per_km": c, "r_ohm_per_km": r} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="line") + + typdata = {"c_nf_per_km": c, "r_ohm_per_km": r, "x_ohm_per_km": x} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="line") + + typdata = {"c_nf_per_km": c, "r_ohm_per_km": r, "x_ohm_per_km": x, "max_i_ka": i} + create_std_type(net, name=name, data=typdata, element="line") + assert net.std_types["line"][name] == typdata + + loaded_type = load_std_type(net, name) + assert loaded_type == typdata + + +def test_create_std_types_line(): + net = pandapowerNet(name="test_create_std_types_line") + c = 40 + r = 0.01 + x = 0.02 + i = 0.2 + + typdata = {"c_nf_per_km": c, "r_ohm_per_km": r, "x_ohm_per_km": x, "max_i_ka": i} + + typdatas = {"typ1": typdata, "typ2": typdata} + create_std_types(net, data=typdatas, element="line") + assert net.std_types["line"]["typ1"] == typdata + assert net.std_types["line"]["typ1"] == typdata + + +def test_create_std_types_from_net_line(): + net1 = pandapowerNet(name="test_create_std_types_from_net_line 0") + net2 = pandapowerNet(name="test_create_std_types_from_net_line 1") + + c = 40 + r = 0.01 + x = 0.02 + i = 0.2 + + typdata = {"c_nf_per_km": c, "r_ohm_per_km": r, "x_ohm_per_km": x, "max_i_ka": i, + "additional": 8} + create_std_type(net1, typdata, "test_copy") + copy_std_types(net2, net1, element="line") + assert std_type_exists(net2, "test_copy") + + +def test_create_and_load_std_type_trafo(): + net = pandapowerNet(name="test_create_and_load_std_type_trafo") + sn_mva = 40 + vn_hv_kv = 110 + vn_lv_kv = 20 + vk_percent = 5. + vkr_percent = 2. + pfe_kw=50 + i0_percent = 0.1 + shift_degree = 30 + name = "test_trafo" + + typdata = {"sn_mva": sn_mva} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo") + + typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo") + + typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo") + + typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_percent": vk_percent} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo") + + typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_percent": vk_percent, + "vkr_percent": vkr_percent} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo") + + typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_percent": vk_percent, + "vkr_percent": vkr_percent, "pfe_kw": pfe_kw} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo") + + typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_percent": vk_percent, + "vkr_percent": vkr_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo") + typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_percent": vk_percent, + "vkr_percent": vkr_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent, + "shift_degree": shift_degree} + create_std_type(net, name=name, data=typdata, element="trafo") + assert net.std_types["trafo"][name] == typdata + + loaded_type = load_std_type(net, name, element="trafo") + assert loaded_type == typdata + + +def test_create_and_load_std_type_trafo3w(): + net = pandapowerNet(name="test_create_and_load_std_type_trafo3w") + sn_hv_mva = 40; sn_mv_mva = 20; sn_lv_mva = 20 + vn_hv_kv = 110; vn_mv_kv = 50; vn_lv_kv = 20 + vk_hv_percent = 5.; vk_mv_percent = 5.; vk_lv_percent = 5. + vkr_hv_percent = 2.; vkr_mv_percent = 2.; vkr_lv_percent = 2. + pfe_kw=50 + i0_percent = 0.1 + shift_mv_degree = 30; shift_lv_degree = 30 + name = "test_trafo3w" + + typdata = {"sn_hv_mva": sn_hv_mva} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo3w") + + typdata = {"sn_mv_mva": sn_mv_mva, "vn_hv_kv": vn_hv_kv} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo3w") + + typdata = {"sn_lv_mva": sn_lv_mva, "vn_mv_kv": vn_mv_kv, "vn_lv_kv": vn_lv_kv} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo3w") + + typdata = {"sn_mv_mva": sn_mv_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_hv_percent": vk_hv_percent} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo3w") + + typdata = {"sn_hv_mva": sn_hv_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_mv_percent": vk_mv_percent, + "vkr_hv_percent": vkr_hv_percent} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo3w") + + typdata = {"sn_hv_mva": sn_hv_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_lv_percent": vk_lv_percent, + "vkr_mv_percent": vkr_mv_percent, "pfe_kw": pfe_kw} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo3w") + + typdata = {"sn_hv_mva": sn_hv_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_hv_percent": vk_hv_percent, + "vkr_lv_percent": vkr_lv_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo3w") + typdata = {"sn_hv_mva": sn_hv_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_hv_percent": vk_hv_percent, + "vkr_hv_percent": vkr_hv_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent, + "shift_mv_degree": shift_mv_degree} + with pytest.raises(UserWarning): + create_std_type(net, name=name, data=typdata, element="trafo3w") + typdata = {"vn_hv_kv": vn_hv_kv, "vn_mv_kv": vn_mv_kv, "vn_lv_kv": vn_lv_kv, "sn_hv_mva": sn_hv_mva, + "sn_mv_mva": sn_mv_mva, "sn_lv_mva": sn_lv_mva, "vk_hv_percent": vk_hv_percent, "vk_mv_percent": vk_mv_percent, + "vk_lv_percent": vk_lv_percent, "vkr_hv_percent": vkr_hv_percent, "vkr_mv_percent": vkr_mv_percent, + "vkr_lv_percent": vkr_lv_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent, + "shift_mv_degree":shift_mv_degree, "shift_lv_degree": shift_lv_degree} + create_std_type(net, name=name, data=typdata, element="trafo3w") + assert net.std_types["trafo3w"][name] == typdata + + loaded_type = load_std_type(net, name, element="trafo3w") + assert loaded_type == typdata + + +def test_create_std_types_trafo(): + net = pandapowerNet(name="test_create_std_types_trafo") + sn_mva = 40 + vn_hv_kv = 110 + vn_lv_kv = 20 + vk_percent = 5. + vkr_percent = 2. + pfe_kw=50 + i0_percent = 0.1 + shift_degree = 30 + + typdata = {"sn_mva": sn_mva, "vn_hv_kv": vn_hv_kv, "vn_lv_kv": vn_lv_kv, "vk_percent": vk_percent, + "vkr_percent": vkr_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent, + "shift_degree": shift_degree} + typdatas = {"typ1": typdata, "typ2": typdata} + create_std_types(net, data=typdatas, element="trafo") + assert net.std_types["trafo"]["typ1"] == typdata + assert net.std_types["trafo"]["typ2"] == typdata + + +def test_create_std_types_trafo3w(): + net = pandapowerNet(name="test_create_std_types_trafo3w") + sn_hv_mva = 40; sn_mv_mva = 20; sn_lv_mva = 20 + vn_hv_kv = 110; vn_mv_kv = 50; vn_lv_kv = 20 + vk_hv_percent = 5.; vk_mv_percent = 5.; vk_lv_percent = 5. + vkr_hv_percent = 2.; vkr_mv_percent = 2.; vkr_lv_percent = 2. + pfe_kw=50 + i0_percent = 0.1 + shift_mv_degree = 30; shift_lv_degree = 30 + + typdata = {"vn_hv_kv": vn_hv_kv, "vn_mv_kv": vn_mv_kv, "vn_lv_kv": vn_lv_kv, "sn_hv_mva": sn_hv_mva, + "sn_mv_mva": sn_mv_mva, "sn_lv_mva": sn_lv_mva, "vk_hv_percent": vk_hv_percent, "vk_mv_percent": vk_mv_percent, + "vk_lv_percent": vk_lv_percent, "vkr_hv_percent": vkr_hv_percent, "vkr_mv_percent": vkr_mv_percent, + "vkr_lv_percent": vkr_lv_percent, "pfe_kw": pfe_kw, "i0_percent": i0_percent, + "shift_mv_degree":shift_mv_degree, "shift_lv_degree": shift_lv_degree} + + typdatas = {"typ1": typdata, "typ2": typdata} + create_std_types(net, data=typdatas, element="trafo3w") + assert net.std_types["trafo3w"]["typ1"] == typdata + assert net.std_types["trafo3w"]["typ2"] == typdata + + +def test_find_line_type(): + net = pandapowerNet(name="test_find_line_type") + c = 40000 + r = 1.5 + x = 2.0 + i = 10 + name = "test_line1" + typdata = {"c_nf_per_km": c, "r_ohm_per_km": r, "x_ohm_per_km": x, "max_i_ka": i} + create_std_type(net, data=typdata, name=name, element="line") + + fitting_type = find_std_type_by_parameter(net, typdata) + assert len(fitting_type) == 1 + assert fitting_type[0] == name + + fitting_type = find_std_type_by_parameter(net, {"r_ohm_per_km":r+0.05}, epsilon=.06) + assert len(fitting_type) == 1 + assert fitting_type[0] == name + + +def test_find_std_alternative(): + r = 0.642 + ## {'NAYY 4x50 SE': {'c_nf_per_km': 210, 'r_ohm_per_km': 0.642, 'x_ohm_per_km': 0.083, 'max_i_ka': 0.142, 'voltage_rating': 'LV'} + # Assuming we are looking for the cable NAYY 4X50 SE with a maximum ampacity of 0.142 A + name ='NAYY 4x50 SE' + fitting_type = find_std_type_alternative(data = {"r_ohm_per_km":r+0.05}, voltage_rating ="LV", epsilon=0.06) + assert len(fitting_type) == 1 + assert fitting_type[0] == name + + fitting_type = find_std_type_alternative(data = {"r_ohm_per_km":r+0.07}, voltage_rating ="LV", epsilon=0.06) + assert len(fitting_type) == 0 + + fitting_type = find_std_type_alternative(data = {"r_ohm_per_km":r+0.07}, voltage_rating ="MV", epsilon=0.06) + assert len(fitting_type) == 0 + + +def test_change_type_line(): + net = pandapowerNet(name="test_change_type_line") + r1 = 0.01 + x1 = 0.02 + c1 = 40 + i1 = 0.2 + name1 = "test_line1" + typ1 = {"c_nf_per_km": c1, "r_ohm_per_km": r1, "x_ohm_per_km": x1, "max_i_ka": i1} + create_std_type(net, data=typ1, name=name1, element="line") + + r2 = 0.02 + x2 = 0.04 + c2 = 20 + i2 = 0.4 + name2 = "test_line2" + typ2 = {"c_nf_per_km": c2, "r_ohm_per_km": r2, "x_ohm_per_km": x2, "max_i_ka": i2} + create_std_type(net, data=typ2, name=name2, element="line") + + b1 = create_bus(net, vn_kv=0.4) + b2 = create_bus(net, vn_kv=0.4) + lid = create_line(net, b1, b2, 1., std_type=name1) + assert net.line.r_ohm_per_km.at[lid] == r1 + assert net.line.x_ohm_per_km.at[lid] == x1 + assert net.line.c_nf_per_km.at[lid] == c1 + assert net.line.max_i_ka.at[lid] == i1 + assert net.line.std_type.at[lid] == name1 + + change_std_type(net, lid, name2) + + assert net.line.r_ohm_per_km.at[lid] == r2 + assert net.line.x_ohm_per_km.at[lid] == x2 + assert net.line.c_nf_per_km.at[lid] == c2 + assert net.line.max_i_ka.at[lid] == i2 + assert net.line.std_type.at[lid] == name2 + + +def test_parameter_from_std_type_line(): + net = pandapowerNet(name="test_parameter_from_std_type_line") + r1 = 0.01 + x1 = 0.02 + c1 = 40 + i1 = 0.2 + name1 = "test_line1" + typ1 = {"c_nf_per_km": c1, "r_ohm_per_km": r1, "x_ohm_per_km": x1, "max_i_ka": i1} + create_std_type(net, data=typ1, name=name1, element="line") + + r2 = 0.02 + x2 = 0.04 + c2 = 20 + i2 = 0.4 + endtemp2 = 40 + + endtemp_fill = 20 + + name2 = "test_line2" + typ2 = {"c_nf_per_km": c2, "r_ohm_per_km": r2, "x_ohm_per_km": x2, "max_i_ka": i2, + "endtemp_degree": endtemp2} + create_std_type(net, data=typ2, name=name2, element="line") + + b1 = create_bus(net, vn_kv=0.4) + b2 = create_bus(net, vn_kv=0.4) + lid1 = create_line(net, b1, b2, 1., std_type=name1) + lid2 = create_line(net, b1, b2, 1., std_type=name2) + lid3 = create_line_from_parameters(net, b1, b2, 1., r_ohm_per_km=0.03, x_ohm_per_km=0.04, + c_nf_per_km=20, max_i_ka=0.3) + + parameter_from_std_type(net, "endtemp_degree", fill=endtemp_fill) + assert net.line.endtemp_degree.at[lid1] == endtemp_fill #type1 one has not specified an endtemp + assert net.line.endtemp_degree.at[lid2] == endtemp2 #type2 has specified endtemp + assert net.line.endtemp_degree.at[lid3] == endtemp_fill #line3 has no standard type + + net.line.at[lid3, "endtemp_degree"] = 10 + parameter_from_std_type(net, "endtemp_degree", fill=endtemp_fill) + assert net.line.endtemp_degree.at[lid3] == 10 #check that existing values arent overwritten + + +def test_add_temperature_coefficient(): + net = simple_mv_open_ring_net() + add_temperature_coefficient(net) + assert "alpha" in net.line.columns + assert all(net.line.alpha == 4.03e-3) + + +def test_delete_std_type(): + net = pandapowerNet(name="test_delete_std_type") + trafo3w_types = set(net.std_types["trafo3w"].keys()) + existing_trafo3w_std_type = sorted(trafo3w_types)[0] + delete_std_type(net, existing_trafo3w_std_type, "trafo3w") + assert trafo3w_types == set(net.std_types["trafo3w"].keys()) | {existing_trafo3w_std_type} + + +def test_rename_std_type(): + net = pandapowerNet(name="test_rename_std_type") + existing_line_std_type = sorted(net.std_types["line"].keys())[0] + existing_line_std_type2 = sorted(net.std_types["line"].keys())[1] + existing_trafo3w_std_type = sorted(net.std_types["trafo3w"].keys())[0] + tr3w_std_type_params = load_std_type(net, existing_trafo3w_std_type, "trafo3w") + + vn_kvs = [tr3w_std_type_params["vn_hv_kv"], tr3w_std_type_params["vn_hv_kv"], + tr3w_std_type_params["vn_mv_kv"], tr3w_std_type_params["vn_lv_kv"]] + create_buses(net, 4, vn_kvs) + create_line(net, 0, 1, 1.2, existing_line_std_type) + create_line(net, 0, 1, 1.2, existing_line_std_type2) + create_transformer3w(net, 0, 2, 3, existing_trafo3w_std_type) + + rename_std_type(net, existing_line_std_type, "new_line_std_type") + rename_std_type(net, existing_trafo3w_std_type, "new_trafo3w_std_type", "trafo3w") + + assert existing_line_std_type not in net.std_types["line"].keys() + assert "new_line_std_type" in net.std_types["line"].keys() + assert (net.line.std_type == existing_line_std_type).sum() == 0 + assert (net.line.std_type == "new_line_std_type").sum() == 1 + + assert existing_line_std_type not in net.std_types["trafo3w"].keys() + assert "new_trafo3w_std_type" in net.std_types["trafo3w"].keys() + assert (net.trafo3w.std_type == existing_line_std_type).sum() == 0 + assert (net.trafo3w.std_type == "new_trafo3w_std_type").sum() == 1 + + try: + rename_std_type(net, "abcdefghijklmnop", "new_line_std_type2") + assert False, "an error is expected" + except UserWarning: + pass + try: + rename_std_type(net, existing_line_std_type2, "new_line_std_type") + assert False, "an error is expected" + except UserWarning: + pass + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/conftest.py b/test/conftest.py similarity index 93% rename from pandapower/test/conftest.py rename to test/conftest.py index 94d54cf2c1..6ce622f681 100644 --- a/pandapower/test/conftest.py +++ b/test/conftest.py @@ -1,81 +1,80 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import numpy as np -import pytest - -from pandapower.create import ( - create_bus, - create_ext_grid, - create_gen, - create_line, - create_load, - create_sgen, - create_transformer -) -from pandapower import pandapowerNet -from pandapower.test.loadflow.result_test_network_generator import result_test_network_generator - - -def pytest_collection_modifyitems(config, items): - """ - For every collected test: - * if it has the `slow` marker → set a larger timeout - * otherwise keep the global timeout (no extra work needed) - - """ - # Global timeout we defined above (in seconds) - default_timeout = config.getoption("timeout") - # Desired timeout for slow tests – change as you need - slow_timeout = 180 # 3 minutes - - for item in items: - if "slow" in item.keywords: - item.add_marker(pytest.mark.timeout(slow_timeout)) - else: - item.add_marker(pytest.mark.timeout(default_timeout)) - - -@pytest.fixture(scope="session") -def simple_network(): - net = pandapowerNet(name='simple_network') - b1 = create_bus(net, name="bus1", vn_kv=10.) - create_ext_grid(net, b1) - b2 = create_bus(net, name="bus2", geodata=(1, 2), vn_kv=.4) - b3 = create_bus(net, name="bus3", geodata=(1, 3), vn_kv=.4) - b4 = create_bus(net, name="bus4", vn_kv=10.) - create_transformer(net, b4, b2, - std_type="0.25 MVA 10/0.4 kV", - name=None, in_service=True, index=None) - create_line(net, b2, b3, 1, name="line1", - std_type="NAYY 4x150 SE", - geodata=np.array([[1, 2], [3, 4]])) - create_line(net, b1, b4, 1, name="line2", - std_type="NAYY 4x150 SE") - create_load(net, b2, p_mw=0.01, q_mvar=0, name="load1") - create_load(net, b3, p_mw=0.04, q_mvar=0.002, name="load2") - create_gen(net, 3, q_mvar=0.020, vm_pu=1.0) - create_sgen(net, 2, p_mw=0.050, sn_mva=0.1) - return net - - -@pytest.fixture(scope="session") -def result_test_network(): - from pandapower import runpp - - # gets the last element of the generator - for net in result_test_network_generator(): - pass - runpp(net, trafo_model="t", trafo_loading="current") - return net - - -def pytest_generate_tests(metafunc): - if "result_test_networks" in metafunc.fixturenames: - net = result_test_network_generator() - metafunc.parametrize("result_test_networks", net, ids=lambda n: n.last_added_case) - - -if __name__ == '__main__': - pytest.main([__file__, "-x"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import numpy as np +import pytest + +from pandapower.create import ( + create_bus, + create_ext_grid, + create_gen, + create_line, + create_load, + create_sgen, + create_transformer +) +from pandapower import pandapowerNet +from test.loadflow.result_test_network_generator import result_test_network_generator + + +def pytest_collection_modifyitems(config, items): + """ + For every collected test: + * if it has the `slow` marker → set a larger timeout + * otherwise keep the global timeout (no extra work needed) + + """ + # Global timeout we defined above (in seconds) + default_timeout = config.getoption("timeout") + # Desired timeout for slow tests – change as you need + slow_timeout = 180 # 3 minutes + + for item in items: + if "slow" in item.keywords: + item.add_marker(pytest.mark.timeout(slow_timeout)) + else: + item.add_marker(pytest.mark.timeout(default_timeout)) + + +@pytest.fixture(scope="session") +def simple_network(): + net = pandapowerNet(name='simple_network') + b1 = create_bus(net, name="bus1", vn_kv=10.) + create_ext_grid(net, b1) + b2 = create_bus(net, name="bus2", geodata=(1, 2), vn_kv=.4) + b3 = create_bus(net, name="bus3", geodata=(1, 3), vn_kv=.4) + b4 = create_bus(net, name="bus4", vn_kv=10.) + create_transformer(net, b4, b2, + std_type="0.25 MVA 10/0.4 kV", + name=None, in_service=True, index=None) + create_line(net, b2, b3, 1, name="line1", + std_type="NAYY 4x150 SE", + geodata=np.array([[1, 2], [3, 4]])) + create_line(net, b1, b4, 1, name="line2", + std_type="NAYY 4x150 SE") + create_load(net, b2, p_mw=0.01, q_mvar=0, name="load1") + create_load(net, b3, p_mw=0.04, q_mvar=0.002, name="load2") + create_gen(net, 3, q_mvar=0.020, vm_pu=1.0) + create_sgen(net, 2, p_mw=0.050, sn_mva=0.1) + return net + + +@pytest.fixture(scope="session") +def result_test_network(): + from pandapower import runpp + + # gets the last element of the generator + for net in result_test_network_generator(): + pass + runpp(net, trafo_model="t", trafo_loading="current") + return net + + +def pytest_generate_tests(metafunc): + if "result_test_networks" in metafunc.fixturenames: + net = result_test_network_generator() + metafunc.parametrize("result_test_networks", net, ids=lambda n: n.last_added_case) + + +if __name__ == '__main__': + pytest.main([__file__, "-x"]) diff --git a/pandapower/test/consistency_checks.py b/test/consistency_checks.py similarity index 97% rename from pandapower/test/consistency_checks.py rename to test/consistency_checks.py index cde036d57e..eb6be37240 100644 --- a/pandapower/test/consistency_checks.py +++ b/test/consistency_checks.py @@ -1,401 +1,401 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import pandas as pd -from numpy import allclose, isclose -import numpy as np - -from pandapower import runpp, rundcpp, runpp_pgm -from pandapower.build_branch import _calc_tap_from_dataframe -from pandapower.pf.runpp_3ph import runpp_3ph -from pandapower.results import get_relevant_elements - -phases = ["a", "b", "c"] - - -def runpp_with_consistency_checks(net, **kwargs): - runpp(net, **kwargs) - consistency_checks(net) - return True - - -def runpp_3ph_with_consistency_checks(net, **kwargs): - runpp_3ph(net, **kwargs) - consistency_checks_3ph(net) - return True - - -def rundcpp_with_consistency_checks(net, **kwargs): - rundcpp(net, **kwargs) - consistency_checks(net, test_q=False) - return True - - -def runpp_pgm_with_consistency_checks(net): - runpp_pgm(net, error_tolerance_vm_pu=1e-11, symmetric=True) - consistency_checks(net) - return True - - -def runpp_pgm_3ph_with_consistency_checks(net): - runpp_pgm(net, error_tolerance_vm_pu=1e-11, symmetric=False) - consistency_checks_3ph(net) - return True - - -def consistent_vsc_stacked(net, rtol): - pass - - -def consistency_checks(net, rtol=1e-3, test_q=True): - indices_consistent(net) - branch_loss_consistent_with_bus_feed_in(net, rtol) - element_power_consistent_with_bus_power(net, rtol, test_q) - # consistent_vsc_stacked(net, rtol) # todo - - -def indices_consistent(net): - elements = get_relevant_elements(net) - for element in elements: - e_idx = net[element].index - res_idx = net["res_" + element].index - assert len(e_idx) == len(res_idx), f"length of {element} bus and res_{element} indices do not match" - assert all(e_idx == res_idx), f"{element} bus and res_{element} indices do not match" - - -def branch_loss_consistent_with_bus_feed_in(net, atol=1e-2): - """ - The surplus of bus feed summed over all buses always has to be equal to the sum of losses in - all branches. - """ - def safe_sum(net, attr_name, column_name): - """Safely sum a column from a result DataFrame if it exists.""" - if hasattr(net, attr_name): - df = getattr(net, attr_name) - if df is not None and not df.empty and column_name in df.columns: - return df[column_name].sum() - return 0.0 - - bus_surplus_p = -safe_sum(net, 'res_bus', 'p_mw') - bus_surplus_q = -safe_sum(net, 'res_bus', 'q_mvar') - bus_dc_surplus_p = -safe_sum(net, 'res_bus_dc', 'p_mw') - - branch_loss_p = ( - safe_sum(net, 'res_line', 'pl_mw') + - safe_sum(net, 'res_trafo', 'pl_mw') + - safe_sum(net, 'res_trafo3w', 'pl_mw') + - safe_sum(net, 'res_impedance', 'pl_mw') + - safe_sum(net, 'res_dcline', 'pl_mw') + - safe_sum(net, 'res_tcsc', 'pl_mw') - ) - branch_loss_q = ( - safe_sum(net, 'res_line', 'ql_mvar') + - safe_sum(net, 'res_trafo', 'ql_mvar') + - safe_sum(net, 'res_trafo3w', 'ql_mvar') + - safe_sum(net, 'res_impedance', 'ql_mvar') + - safe_sum(net, 'res_dcline', 'q_to_mvar') + - safe_sum(net, 'res_dcline', 'q_from_mvar') + - safe_sum(net, 'res_tcsc', 'ql_mvar') - ) - branch_dc_loss = safe_sum(net, 'res_line_dc', 'pl_mw') - - try: - assert isclose(bus_surplus_p, branch_loss_p, atol=atol) - except AssertionError: - raise AssertionError( - f"Branch losses are {branch_loss_p:.4f} MW, " - f"but power generation at the buses exceeds the feedin by {bus_surplus_p:.4f} MW" - ) - try: - assert isclose(bus_dc_surplus_p, branch_dc_loss, atol=atol) - except AssertionError: - raise AssertionError( - f"DC branch losses are {branch_dc_loss:.4f} MW, " - f"but power generation at the DC buses exceeds the feedin by {bus_dc_surplus_p:.4f} MW" - ) - try: - assert isclose(bus_surplus_q, branch_loss_q, atol=atol) - except AssertionError: - raise AssertionError( - f"Branch losses are {branch_loss_q:.4f} MVar, " - f"but power generation at the buses exceeds the feedin by {bus_surplus_q:.4f} MVar" - ) - - -def element_power_consistent_with_bus_power(net, rtol=1e-2, test_q=True): - """ - The bus feed-in at each node has to be equal to the sum of the element feed ins at each node. - """ - bus_p = pd.Series(data=0., index=net.bus.index) - bus_q = pd.Series(data=0., index=net.bus.index) - - bus_p[~net.bus.in_service] = np.nan - bus_q[~net.bus.in_service] = np.nan - - bus_p[~net.bus.in_service] = np.nan - bus_q[~net.bus.in_service] = np.nan - - bus_p[~net.bus.in_service] = np.nan - bus_q[~net.bus.in_service] = np.nan - - bus_p[~net.bus.in_service] = np.nan - bus_q[~net.bus.in_service] = np.nan - - for idx, tab in net.ext_grid.iterrows(): - if tab.in_service: - bus_p.at[tab.bus] -= net.res_ext_grid.p_mw.at[idx] - bus_q.at[tab.bus] -= net.res_ext_grid.q_mvar.at[idx] - - for idx, tab in net.gen.iterrows(): - if tab.in_service: - bus_p.at[tab.bus] -= net.res_gen.p_mw.at[idx] - bus_q.at[tab.bus] -= net.res_gen.q_mvar.at[idx] - - # addition - for elem in ["load", "asymmetric_load", "storage", "shunt", "ward", "xward", "vsc", "vsc_stacked"]: - for idx, tab in net[elem].iterrows(): - bus_p.at[tab.bus] += net[f"res_{elem}"].p_mw.at[idx] - bus_q.at[tab.bus] += net[f"res_{elem}"].q_mvar.at[idx] - - # subtraction - for elem in ["sgen", "asymmetric_sgen"]: - for idx, tab in net[elem].iterrows(): - bus_p.at[tab.bus] -= net[f"res_{elem}"].p_mw.at[idx] - bus_q.at[tab.bus] -= net[f"res_{elem}"].q_mvar.at[idx] - - for idx, tab in net.svc.iterrows(): - bus_q.at[tab.bus] += net.res_svc.q_mvar.at[idx] - - for idx, tab in net.ssc.iterrows(): - bus_q.at[tab.bus] += net.res_ssc.q_mvar.at[idx] - - - assert allclose(net.res_bus.p_mw.values, bus_p.values, equal_nan=True, rtol=rtol) - if test_q: - assert allclose(net.res_bus.q_mvar.values, bus_q.values, equal_nan=True, rtol=rtol) - - if "bus_dc" in net and net.bus_dc.shape[0] > 0: - bus_p_dc = pd.Series(data=0., index=net.bus_dc.index) - bus_p_dc[~net.bus_dc.in_service] = np.nan - - for idx, tab in net.vsc.iterrows(): - bus_p_dc.at[tab.bus_dc] += net.res_vsc.p_dc_mw.at[idx] - - for idx, tab in net.vsc_stacked.iterrows(): - bus_p_dc.at[tab.bus_dc_plus] += net.res_vsc_stacked.p_dc_mw_p.at[idx] - bus_p_dc.at[tab.bus_dc_minus] += net.res_vsc_stacked.p_dc_mw_m.at[idx] - - assert allclose(net.res_bus_dc.p_mw.values, bus_p_dc.values, equal_nan=True, rtol=rtol) - - -def consistency_checks_3ph(net, rtol=2e-3): - assert net.converged - indices_consistent_3ph(net) - branch_loss_consistent_with_bus_feed_in_3ph(net, rtol) - element_power_consistent_with_bus_power_3ph(net, rtol) - -def indices_consistent_3ph(net): - elements = get_relevant_elements(net, mode="pf_3ph") - for element in elements: - e_idx = net[element].index - res_idx = net["res_" + element+"_3ph"].index - assert len(e_idx) == len(res_idx), "length of %s bus and res_%s indices do not match"%(element, element) - assert all(e_idx == res_idx), "%s bus and res_%s indices do not match"%(element, element) - - -def branch_loss_consistent_with_bus_feed_in_3ph(net, atol=1e-2): - """ - The surpluss of bus feed summed over all buses always has to be equal to the sum of losses in - all branches. - """ - bus_surplus_p = -safe_sum_multiple_columns( - net, 'res_bus_3ph', ["p_a_mw", "p_b_mw", "p_c_mw"] - ) - bus_surplus_q = -safe_sum_multiple_columns( - net, 'res_bus_3ph', ["q_a_mvar", "q_b_mvar", "q_c_mvar"] - ) - - branch_loss_p = ( - safe_sum_multiple_columns(net, 'res_line_3ph', ["pl_a_mw", "pl_b_mw", "pl_c_mw"]) + - safe_sum_multiple_columns(net, 'res_trafo_3ph', ["pl_a_mw", "pl_b_mw", "pl_c_mw"]) - ) - branch_loss_q = ( - safe_sum_multiple_columns(net, 'res_line_3ph', ["ql_a_mvar", "ql_b_mvar", "ql_c_mvar"]) + - safe_sum_multiple_columns(net, 'res_trafo_3ph', ["ql_a_mvar", "ql_b_mvar", "ql_c_mvar"]) - ) - - try: - assert isclose(bus_surplus_p, branch_loss_p, atol=atol) - except AssertionError: - raise AssertionError("Branch losses are %.4f MW, but power generation at the buses exceeds the feedin by %.4f MW"%(branch_loss_p, bus_surplus_p)) - try: - assert isclose(bus_surplus_q, branch_loss_q, atol=atol) - except AssertionError: - raise AssertionError("Branch losses are %.4f MVar, but power generation at the buses exceeds the feedin by %.4f MVar"%(branch_loss_q, bus_surplus_q)) - - -def element_power_consistent_with_bus_power_3ph(net, rtol=1e-2): - """ - The bus feed-in at each node has to be equal to the sum of the element feed ins at each node. - """ - bus_p_a = pd.Series(data=0., index=net.bus.index) - bus_q_a = pd.Series(data=0., index=net.bus.index) - bus_p_b = pd.Series(data=0., index=net.bus.index) - bus_q_b = pd.Series(data=0., index=net.bus.index) - bus_p_c = pd.Series(data=0., index=net.bus.index) - bus_q_c = pd.Series(data=0., index=net.bus.index) - - for idx, tab in net.ext_grid.iterrows(): - bus_p_a.at[tab.bus] -= net.res_ext_grid_3ph.p_a_mw.at[idx] - bus_q_a.at[tab.bus] -= net.res_ext_grid_3ph.q_a_mvar.at[idx] - bus_p_b.at[tab.bus] -= net.res_ext_grid_3ph.p_b_mw.at[idx] - bus_q_b.at[tab.bus] -= net.res_ext_grid_3ph.q_b_mvar.at[idx] - bus_p_c.at[tab.bus] -= net.res_ext_grid_3ph.p_c_mw.at[idx] - bus_q_c.at[tab.bus] -= net.res_ext_grid_3ph.q_c_mvar.at[idx] - - for idx, tab in net.load.iterrows(): - bus_p_a.at[tab.bus] += net.res_load_3ph.p_mw.at[idx]/3 - bus_q_a.at[tab.bus] += net.res_load_3ph.q_mvar.at[idx] /3 - bus_p_b.at[tab.bus] += net.res_load_3ph.p_mw.at[idx]/3 - bus_q_b.at[tab.bus] += net.res_load_3ph.q_mvar.at[idx] /3 - bus_p_c.at[tab.bus] += net.res_load_3ph.p_mw.at[idx]/3 - bus_q_c.at[tab.bus] += net.res_load_3ph.q_mvar.at[idx] /3 - - for idx, tab in net.asymmetric_load.iterrows(): - bus_p_a.at[tab.bus] += net.res_asymmetric_load_3ph.p_a_mw.at[idx] - bus_q_a.at[tab.bus] += net.res_asymmetric_load_3ph.q_a_mvar.at[idx] - bus_p_b.at[tab.bus] += net.res_asymmetric_load_3ph.p_b_mw.at[idx] - bus_q_b.at[tab.bus] += net.res_asymmetric_load_3ph.q_b_mvar.at[idx] - bus_p_c.at[tab.bus] += net.res_asymmetric_load_3ph.p_c_mw.at[idx] - bus_q_c.at[tab.bus] += net.res_asymmetric_load_3ph.q_c_mvar.at[idx] - - for idx, tab in net.asymmetric_sgen.iterrows(): - bus_p_a.at[tab.bus] -= net.res_asymmetric_sgen_3ph.p_a_mw.at[idx] - bus_q_a.at[tab.bus] -= net.res_asymmetric_sgen_3ph.q_a_mvar.at[idx] - bus_p_b.at[tab.bus] -= net.res_asymmetric_sgen_3ph.p_b_mw.at[idx] - bus_q_b.at[tab.bus] -= net.res_asymmetric_sgen_3ph.q_b_mvar.at[idx] - bus_p_c.at[tab.bus] -= net.res_asymmetric_sgen_3ph.p_c_mw.at[idx] - bus_q_c.at[tab.bus] -= net.res_asymmetric_sgen_3ph.q_c_mvar.at[idx] - - for idx, tab in net.sgen.iterrows(): - bus_p_a.at[tab.bus] -= net.res_sgen_3ph.p_mw.at[idx] / 3 - bus_q_a.at[tab.bus] -= net.res_sgen_3ph.q_mvar.at[idx] / 3 - bus_p_b.at[tab.bus] -= net.res_sgen_3ph.p_mw.at[idx] / 3 - bus_q_b.at[tab.bus] -= net.res_sgen_3ph.q_mvar.at[idx] / 3 - bus_p_c.at[tab.bus] -= net.res_sgen_3ph.p_mw.at[idx] / 3 - bus_q_c.at[tab.bus] -= net.res_sgen_3ph.q_mvar.at[idx] / 3 - - assert allclose(net.res_bus_3ph.p_a_mw.values, bus_p_a.values, equal_nan=True, rtol=rtol) - assert allclose(net.res_bus_3ph.q_a_mvar.values, bus_q_a.values, equal_nan=True, rtol=rtol) - assert allclose(net.res_bus_3ph.p_b_mw.values, bus_p_b.values, equal_nan=True, rtol=rtol) - assert allclose(net.res_bus_3ph.q_b_mvar.values, bus_q_b.values, equal_nan=True, rtol=rtol) - assert allclose(net.res_bus_3ph.p_c_mw.values, bus_p_c.values, equal_nan=True, rtol=rtol) - assert allclose(net.res_bus_3ph.q_c_mvar.values, bus_q_c.values, equal_nan=True, rtol=rtol) - -def get_trafo_s_3ph(net, tf_index, side): - s = np.array([(net.res_trafo_3ph.at[tf_index, "p_"+ph+"_"+side+"_mw"]+1j * - net.res_trafo_3ph.at[tf_index, "q_"+ph+"_"+side+"_mvar"]) - for ph in phases - ]) - if side == "lv": - s = -s - return s - -def get_trafo_v_3ph(net, tf_index, side): - bus_id = net.trafo.at[tf_index, side+"_bus"] - v = np.array([(net.res_bus_3ph.at[bus_id, "vm_"+ph+"_pu"] * - net.bus.vn_kv[bus_id] * - np.exp(1j * np.deg2rad( - net.res_bus_3ph.at[bus_id, "va_"+ph+"_degree"]) - ) - ) - for ph in phases - ]) / np.sqrt(3) - return v - -def get_trafo_currents_3ph(net, tf_index, side): - s = get_trafo_s_3ph(net, tf_index, side) - v = get_trafo_v_3ph(net, tf_index, side) - i = np.conjugate(s / v) - return i - -def check_dyn_transformer_currents(i_hv, i_lv, ratio, shift_degree, rtol): - # HV and LV Currents are related depending on clock (shift) - # Dyn11 - if shift_degree == -30: - assert isclose(i_hv[0], (i_lv[0] - i_lv[2])/(ratio * np.sqrt(3)), rtol) - assert isclose(i_hv[1], (i_lv[1] - i_lv[0])/(ratio * np.sqrt(3)), rtol) - assert isclose(i_hv[2], (i_lv[2] - i_lv[1])/(ratio * np.sqrt(3)), rtol) - # Dyn1 - elif shift_degree == 30: - assert isclose(i_hv[0], (i_lv[0] - i_lv[1])/(ratio * np.sqrt(3)), rtol) - assert isclose(i_hv[1], (i_lv[1] - i_lv[2])/(ratio * np.sqrt(3)), rtol) - assert isclose(i_hv[2], (i_lv[2] - i_lv[0])/(ratio * np.sqrt(3)), rtol) - # Dyn5 - elif shift_degree == 150: - assert isclose(i_hv[0], (i_lv[2] - i_lv[0])/(ratio * np.sqrt(3)), rtol) - assert isclose(i_hv[1], (i_lv[0] - i_lv[1])/(ratio * np.sqrt(3)), rtol) - assert isclose(i_hv[2], (i_lv[1] - i_lv[2])/(ratio * np.sqrt(3)), rtol) - # Dyn7 - elif (shift_degree == 210) or (shift_degree == -150): - assert isclose(i_hv[0], (i_lv[1] - i_lv[0])/(ratio * np.sqrt(3)), rtol) - assert isclose(i_hv[1], (i_lv[2] - i_lv[1])/(ratio * np.sqrt(3)), rtol) - assert isclose(i_hv[2], (i_lv[0] - i_lv[2])/(ratio * np.sqrt(3)), rtol) - -def check_ynyn_traformer_currents(i_hv, i_lv, ratio, shift_degree, rtol): - # YNyn0 - if shift_degree == 0: - assert isclose(i_hv[0], i_lv[0] / ratio, rtol) - assert isclose(i_hv[1], i_lv[1] / ratio, rtol) - assert isclose(i_hv[2], i_lv[2] / ratio, rtol) - # YNyn6 - if (shift_degree == 180) or (shift_degree == -180): - assert isclose(i_hv[0], -i_lv[0] / ratio, rtol) - assert isclose(i_hv[1], -i_lv[1] / ratio, rtol) - assert isclose(i_hv[2], -i_lv[2] / ratio, rtol) - -def trafo_currents_consistent_3ph(net, rtol): - """ - The HV and LV currents of the transformer has to be related in accordance with trafo vector_group and clock - """ - if "vector_group" not in net.trafo: - return - for vector_group, trafo_df in net.trafo.groupby('vector_group'): - if vector_group not in ["Dyn", "YNd", "YNyn", "Yzn"]: - continue - ### Yzn need to be implemented - if vector_group == "Yzn": - continue - ############################### - vnh, vnl, _ = _calc_tap_from_dataframe(net, trafo_df) - ratio = vnh / vnl - for index, trafo in trafo_df.iterrows(): - i_hv = get_trafo_currents_3ph(net, index, "hv") - i_lv = get_trafo_currents_3ph(net, index, "lv") - tf_index = net.trafo.index.get_loc(index) - if vector_group == "Dyn": - check_dyn_transformer_currents(i_hv, i_lv, ratio[tf_index], trafo["shift_degree"], rtol) - - if vector_group == "YNyn": - check_ynyn_traformer_currents(i_hv, i_lv, ratio[tf_index], trafo["shift_degree"], rtol) - - -def safe_sum(net, attr_name, column_name): - """Safely sum a column from a result DataFrame if it exists.""" - if hasattr(net, attr_name): - df = getattr(net, attr_name) - if df is not None and not df.empty and column_name in df.columns: - return df[column_name].sum() - return 0.0 - - -def safe_sum_multiple_columns(net, attr_name, column_names): - """Safely sum multiple columns from a result DataFrame if they exist.""" - if hasattr(net, attr_name): - df = getattr(net, attr_name) - if df is not None and not df.empty: - # Only sum columns that actually exist - existing_cols = [col for col in column_names if col in df.columns] - if existing_cols: - return df[existing_cols].sum().sum() +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import pandas as pd +from numpy import allclose, isclose +import numpy as np + +from pandapower import runpp, rundcpp, runpp_pgm +from pandapower.build_branch import _calc_tap_from_dataframe +from pandapower.pf.runpp_3ph import runpp_3ph +from pandapower.results import get_relevant_elements + +phases = ["a", "b", "c"] + + +def runpp_with_consistency_checks(net, **kwargs): + runpp(net, **kwargs) + consistency_checks(net) + return True + + +def runpp_3ph_with_consistency_checks(net, **kwargs): + runpp_3ph(net, **kwargs) + consistency_checks_3ph(net) + return True + + +def rundcpp_with_consistency_checks(net, **kwargs): + rundcpp(net, **kwargs) + consistency_checks(net, test_q=False) + return True + + +def runpp_pgm_with_consistency_checks(net): + runpp_pgm(net, error_tolerance_vm_pu=1e-11, symmetric=True) + consistency_checks(net) + return True + + +def runpp_pgm_3ph_with_consistency_checks(net): + runpp_pgm(net, error_tolerance_vm_pu=1e-11, symmetric=False) + consistency_checks_3ph(net) + return True + + +def consistent_vsc_stacked(net, rtol): + pass + + +def consistency_checks(net, rtol=1e-3, test_q=True): + indices_consistent(net) + branch_loss_consistent_with_bus_feed_in(net, rtol) + element_power_consistent_with_bus_power(net, rtol, test_q) + # consistent_vsc_stacked(net, rtol) # todo + + +def indices_consistent(net): + elements = get_relevant_elements(net) + for element in elements: + e_idx = net[element].index + res_idx = net["res_" + element].index + assert len(e_idx) == len(res_idx), f"length of {element} bus and res_{element} indices do not match" + assert all(e_idx == res_idx), f"{element} bus and res_{element} indices do not match" + + +def branch_loss_consistent_with_bus_feed_in(net, atol=1e-2): + """ + The surplus of bus feed summed over all buses always has to be equal to the sum of losses in + all branches. + """ + def safe_sum(net, attr_name, column_name): + """Safely sum a column from a result DataFrame if it exists.""" + if hasattr(net, attr_name): + df = getattr(net, attr_name) + if df is not None and not df.empty and column_name in df.columns: + return df[column_name].sum() + return 0.0 + + bus_surplus_p = -safe_sum(net, 'res_bus', 'p_mw') + bus_surplus_q = -safe_sum(net, 'res_bus', 'q_mvar') + bus_dc_surplus_p = -safe_sum(net, 'res_bus_dc', 'p_mw') + + branch_loss_p = ( + safe_sum(net, 'res_line', 'pl_mw') + + safe_sum(net, 'res_trafo', 'pl_mw') + + safe_sum(net, 'res_trafo3w', 'pl_mw') + + safe_sum(net, 'res_impedance', 'pl_mw') + + safe_sum(net, 'res_dcline', 'pl_mw') + + safe_sum(net, 'res_tcsc', 'pl_mw') + ) + branch_loss_q = ( + safe_sum(net, 'res_line', 'ql_mvar') + + safe_sum(net, 'res_trafo', 'ql_mvar') + + safe_sum(net, 'res_trafo3w', 'ql_mvar') + + safe_sum(net, 'res_impedance', 'ql_mvar') + + safe_sum(net, 'res_dcline', 'q_to_mvar') + + safe_sum(net, 'res_dcline', 'q_from_mvar') + + safe_sum(net, 'res_tcsc', 'ql_mvar') + ) + branch_dc_loss = safe_sum(net, 'res_line_dc', 'pl_mw') + + try: + assert isclose(bus_surplus_p, branch_loss_p, atol=atol) + except AssertionError: + raise AssertionError( + f"Branch losses are {branch_loss_p:.4f} MW, " + f"but power generation at the buses exceeds the feedin by {bus_surplus_p:.4f} MW" + ) + try: + assert isclose(bus_dc_surplus_p, branch_dc_loss, atol=atol) + except AssertionError: + raise AssertionError( + f"DC branch losses are {branch_dc_loss:.4f} MW, " + f"but power generation at the DC buses exceeds the feedin by {bus_dc_surplus_p:.4f} MW" + ) + try: + assert isclose(bus_surplus_q, branch_loss_q, atol=atol) + except AssertionError: + raise AssertionError( + f"Branch losses are {branch_loss_q:.4f} MVar, " + f"but power generation at the buses exceeds the feedin by {bus_surplus_q:.4f} MVar" + ) + + +def element_power_consistent_with_bus_power(net, rtol=1e-2, test_q=True): + """ + The bus feed-in at each node has to be equal to the sum of the element feed ins at each node. + """ + bus_p = pd.Series(data=0., index=net.bus.index) + bus_q = pd.Series(data=0., index=net.bus.index) + + bus_p[~net.bus.in_service] = np.nan + bus_q[~net.bus.in_service] = np.nan + + bus_p[~net.bus.in_service] = np.nan + bus_q[~net.bus.in_service] = np.nan + + bus_p[~net.bus.in_service] = np.nan + bus_q[~net.bus.in_service] = np.nan + + bus_p[~net.bus.in_service] = np.nan + bus_q[~net.bus.in_service] = np.nan + + for idx, tab in net.ext_grid.iterrows(): + if tab.in_service: + bus_p.at[tab.bus] -= net.res_ext_grid.p_mw.at[idx] + bus_q.at[tab.bus] -= net.res_ext_grid.q_mvar.at[idx] + + for idx, tab in net.gen.iterrows(): + if tab.in_service: + bus_p.at[tab.bus] -= net.res_gen.p_mw.at[idx] + bus_q.at[tab.bus] -= net.res_gen.q_mvar.at[idx] + + # addition + for elem in ["load", "asymmetric_load", "storage", "shunt", "ward", "xward", "vsc", "vsc_stacked"]: + for idx, tab in net[elem].iterrows(): + bus_p.at[tab.bus] += net[f"res_{elem}"].p_mw.at[idx] + bus_q.at[tab.bus] += net[f"res_{elem}"].q_mvar.at[idx] + + # subtraction + for elem in ["sgen", "asymmetric_sgen"]: + for idx, tab in net[elem].iterrows(): + bus_p.at[tab.bus] -= net[f"res_{elem}"].p_mw.at[idx] + bus_q.at[tab.bus] -= net[f"res_{elem}"].q_mvar.at[idx] + + for idx, tab in net.svc.iterrows(): + bus_q.at[tab.bus] += net.res_svc.q_mvar.at[idx] + + for idx, tab in net.ssc.iterrows(): + bus_q.at[tab.bus] += net.res_ssc.q_mvar.at[idx] + + + assert allclose(net.res_bus.p_mw.values, bus_p.values, equal_nan=True, rtol=rtol) + if test_q: + assert allclose(net.res_bus.q_mvar.values, bus_q.values, equal_nan=True, rtol=rtol) + + if "bus_dc" in net and net.bus_dc.shape[0] > 0: + bus_p_dc = pd.Series(data=0., index=net.bus_dc.index) + bus_p_dc[~net.bus_dc.in_service] = np.nan + + for idx, tab in net.vsc.iterrows(): + bus_p_dc.at[tab.bus_dc] += net.res_vsc.p_dc_mw.at[idx] + + for idx, tab in net.vsc_stacked.iterrows(): + bus_p_dc.at[tab.bus_dc_plus] += net.res_vsc_stacked.p_dc_mw_p.at[idx] + bus_p_dc.at[tab.bus_dc_minus] += net.res_vsc_stacked.p_dc_mw_m.at[idx] + + assert allclose(net.res_bus_dc.p_mw.values, bus_p_dc.values, equal_nan=True, rtol=rtol) + + +def consistency_checks_3ph(net, rtol=2e-3): + assert net.converged + indices_consistent_3ph(net) + branch_loss_consistent_with_bus_feed_in_3ph(net, rtol) + element_power_consistent_with_bus_power_3ph(net, rtol) + +def indices_consistent_3ph(net): + elements = get_relevant_elements(net, mode="pf_3ph") + for element in elements: + e_idx = net[element].index + res_idx = net["res_" + element+"_3ph"].index + assert len(e_idx) == len(res_idx), "length of %s bus and res_%s indices do not match"%(element, element) + assert all(e_idx == res_idx), "%s bus and res_%s indices do not match"%(element, element) + + +def branch_loss_consistent_with_bus_feed_in_3ph(net, atol=1e-2): + """ + The surpluss of bus feed summed over all buses always has to be equal to the sum of losses in + all branches. + """ + bus_surplus_p = -safe_sum_multiple_columns( + net, 'res_bus_3ph', ["p_a_mw", "p_b_mw", "p_c_mw"] + ) + bus_surplus_q = -safe_sum_multiple_columns( + net, 'res_bus_3ph', ["q_a_mvar", "q_b_mvar", "q_c_mvar"] + ) + + branch_loss_p = ( + safe_sum_multiple_columns(net, 'res_line_3ph', ["pl_a_mw", "pl_b_mw", "pl_c_mw"]) + + safe_sum_multiple_columns(net, 'res_trafo_3ph', ["pl_a_mw", "pl_b_mw", "pl_c_mw"]) + ) + branch_loss_q = ( + safe_sum_multiple_columns(net, 'res_line_3ph', ["ql_a_mvar", "ql_b_mvar", "ql_c_mvar"]) + + safe_sum_multiple_columns(net, 'res_trafo_3ph', ["ql_a_mvar", "ql_b_mvar", "ql_c_mvar"]) + ) + + try: + assert isclose(bus_surplus_p, branch_loss_p, atol=atol) + except AssertionError: + raise AssertionError("Branch losses are %.4f MW, but power generation at the buses exceeds the feedin by %.4f MW"%(branch_loss_p, bus_surplus_p)) + try: + assert isclose(bus_surplus_q, branch_loss_q, atol=atol) + except AssertionError: + raise AssertionError("Branch losses are %.4f MVar, but power generation at the buses exceeds the feedin by %.4f MVar"%(branch_loss_q, bus_surplus_q)) + + +def element_power_consistent_with_bus_power_3ph(net, rtol=1e-2): + """ + The bus feed-in at each node has to be equal to the sum of the element feed ins at each node. + """ + bus_p_a = pd.Series(data=0., index=net.bus.index) + bus_q_a = pd.Series(data=0., index=net.bus.index) + bus_p_b = pd.Series(data=0., index=net.bus.index) + bus_q_b = pd.Series(data=0., index=net.bus.index) + bus_p_c = pd.Series(data=0., index=net.bus.index) + bus_q_c = pd.Series(data=0., index=net.bus.index) + + for idx, tab in net.ext_grid.iterrows(): + bus_p_a.at[tab.bus] -= net.res_ext_grid_3ph.p_a_mw.at[idx] + bus_q_a.at[tab.bus] -= net.res_ext_grid_3ph.q_a_mvar.at[idx] + bus_p_b.at[tab.bus] -= net.res_ext_grid_3ph.p_b_mw.at[idx] + bus_q_b.at[tab.bus] -= net.res_ext_grid_3ph.q_b_mvar.at[idx] + bus_p_c.at[tab.bus] -= net.res_ext_grid_3ph.p_c_mw.at[idx] + bus_q_c.at[tab.bus] -= net.res_ext_grid_3ph.q_c_mvar.at[idx] + + for idx, tab in net.load.iterrows(): + bus_p_a.at[tab.bus] += net.res_load_3ph.p_mw.at[idx]/3 + bus_q_a.at[tab.bus] += net.res_load_3ph.q_mvar.at[idx] /3 + bus_p_b.at[tab.bus] += net.res_load_3ph.p_mw.at[idx]/3 + bus_q_b.at[tab.bus] += net.res_load_3ph.q_mvar.at[idx] /3 + bus_p_c.at[tab.bus] += net.res_load_3ph.p_mw.at[idx]/3 + bus_q_c.at[tab.bus] += net.res_load_3ph.q_mvar.at[idx] /3 + + for idx, tab in net.asymmetric_load.iterrows(): + bus_p_a.at[tab.bus] += net.res_asymmetric_load_3ph.p_a_mw.at[idx] + bus_q_a.at[tab.bus] += net.res_asymmetric_load_3ph.q_a_mvar.at[idx] + bus_p_b.at[tab.bus] += net.res_asymmetric_load_3ph.p_b_mw.at[idx] + bus_q_b.at[tab.bus] += net.res_asymmetric_load_3ph.q_b_mvar.at[idx] + bus_p_c.at[tab.bus] += net.res_asymmetric_load_3ph.p_c_mw.at[idx] + bus_q_c.at[tab.bus] += net.res_asymmetric_load_3ph.q_c_mvar.at[idx] + + for idx, tab in net.asymmetric_sgen.iterrows(): + bus_p_a.at[tab.bus] -= net.res_asymmetric_sgen_3ph.p_a_mw.at[idx] + bus_q_a.at[tab.bus] -= net.res_asymmetric_sgen_3ph.q_a_mvar.at[idx] + bus_p_b.at[tab.bus] -= net.res_asymmetric_sgen_3ph.p_b_mw.at[idx] + bus_q_b.at[tab.bus] -= net.res_asymmetric_sgen_3ph.q_b_mvar.at[idx] + bus_p_c.at[tab.bus] -= net.res_asymmetric_sgen_3ph.p_c_mw.at[idx] + bus_q_c.at[tab.bus] -= net.res_asymmetric_sgen_3ph.q_c_mvar.at[idx] + + for idx, tab in net.sgen.iterrows(): + bus_p_a.at[tab.bus] -= net.res_sgen_3ph.p_mw.at[idx] / 3 + bus_q_a.at[tab.bus] -= net.res_sgen_3ph.q_mvar.at[idx] / 3 + bus_p_b.at[tab.bus] -= net.res_sgen_3ph.p_mw.at[idx] / 3 + bus_q_b.at[tab.bus] -= net.res_sgen_3ph.q_mvar.at[idx] / 3 + bus_p_c.at[tab.bus] -= net.res_sgen_3ph.p_mw.at[idx] / 3 + bus_q_c.at[tab.bus] -= net.res_sgen_3ph.q_mvar.at[idx] / 3 + + assert allclose(net.res_bus_3ph.p_a_mw.values, bus_p_a.values, equal_nan=True, rtol=rtol) + assert allclose(net.res_bus_3ph.q_a_mvar.values, bus_q_a.values, equal_nan=True, rtol=rtol) + assert allclose(net.res_bus_3ph.p_b_mw.values, bus_p_b.values, equal_nan=True, rtol=rtol) + assert allclose(net.res_bus_3ph.q_b_mvar.values, bus_q_b.values, equal_nan=True, rtol=rtol) + assert allclose(net.res_bus_3ph.p_c_mw.values, bus_p_c.values, equal_nan=True, rtol=rtol) + assert allclose(net.res_bus_3ph.q_c_mvar.values, bus_q_c.values, equal_nan=True, rtol=rtol) + +def get_trafo_s_3ph(net, tf_index, side): + s = np.array([(net.res_trafo_3ph.at[tf_index, "p_"+ph+"_"+side+"_mw"]+1j * + net.res_trafo_3ph.at[tf_index, "q_"+ph+"_"+side+"_mvar"]) + for ph in phases + ]) + if side == "lv": + s = -s + return s + +def get_trafo_v_3ph(net, tf_index, side): + bus_id = net.trafo.at[tf_index, side+"_bus"] + v = np.array([(net.res_bus_3ph.at[bus_id, "vm_"+ph+"_pu"] * + net.bus.vn_kv[bus_id] * + np.exp(1j * np.deg2rad( + net.res_bus_3ph.at[bus_id, "va_"+ph+"_degree"]) + ) + ) + for ph in phases + ]) / np.sqrt(3) + return v + +def get_trafo_currents_3ph(net, tf_index, side): + s = get_trafo_s_3ph(net, tf_index, side) + v = get_trafo_v_3ph(net, tf_index, side) + i = np.conjugate(s / v) + return i + +def check_dyn_transformer_currents(i_hv, i_lv, ratio, shift_degree, rtol): + # HV and LV Currents are related depending on clock (shift) + # Dyn11 + if shift_degree == -30: + assert isclose(i_hv[0], (i_lv[0] - i_lv[2])/(ratio * np.sqrt(3)), rtol) + assert isclose(i_hv[1], (i_lv[1] - i_lv[0])/(ratio * np.sqrt(3)), rtol) + assert isclose(i_hv[2], (i_lv[2] - i_lv[1])/(ratio * np.sqrt(3)), rtol) + # Dyn1 + elif shift_degree == 30: + assert isclose(i_hv[0], (i_lv[0] - i_lv[1])/(ratio * np.sqrt(3)), rtol) + assert isclose(i_hv[1], (i_lv[1] - i_lv[2])/(ratio * np.sqrt(3)), rtol) + assert isclose(i_hv[2], (i_lv[2] - i_lv[0])/(ratio * np.sqrt(3)), rtol) + # Dyn5 + elif shift_degree == 150: + assert isclose(i_hv[0], (i_lv[2] - i_lv[0])/(ratio * np.sqrt(3)), rtol) + assert isclose(i_hv[1], (i_lv[0] - i_lv[1])/(ratio * np.sqrt(3)), rtol) + assert isclose(i_hv[2], (i_lv[1] - i_lv[2])/(ratio * np.sqrt(3)), rtol) + # Dyn7 + elif (shift_degree == 210) or (shift_degree == -150): + assert isclose(i_hv[0], (i_lv[1] - i_lv[0])/(ratio * np.sqrt(3)), rtol) + assert isclose(i_hv[1], (i_lv[2] - i_lv[1])/(ratio * np.sqrt(3)), rtol) + assert isclose(i_hv[2], (i_lv[0] - i_lv[2])/(ratio * np.sqrt(3)), rtol) + +def check_ynyn_traformer_currents(i_hv, i_lv, ratio, shift_degree, rtol): + # YNyn0 + if shift_degree == 0: + assert isclose(i_hv[0], i_lv[0] / ratio, rtol) + assert isclose(i_hv[1], i_lv[1] / ratio, rtol) + assert isclose(i_hv[2], i_lv[2] / ratio, rtol) + # YNyn6 + if (shift_degree == 180) or (shift_degree == -180): + assert isclose(i_hv[0], -i_lv[0] / ratio, rtol) + assert isclose(i_hv[1], -i_lv[1] / ratio, rtol) + assert isclose(i_hv[2], -i_lv[2] / ratio, rtol) + +def trafo_currents_consistent_3ph(net, rtol): + """ + The HV and LV currents of the transformer has to be related in accordance with trafo vector_group and clock + """ + if "vector_group" not in net.trafo: + return + for vector_group, trafo_df in net.trafo.groupby('vector_group'): + if vector_group not in ["Dyn", "YNd", "YNyn", "Yzn"]: + continue + ### Yzn need to be implemented + if vector_group == "Yzn": + continue + ############################### + vnh, vnl, _ = _calc_tap_from_dataframe(net, trafo_df) + ratio = vnh / vnl + for index, trafo in trafo_df.iterrows(): + i_hv = get_trafo_currents_3ph(net, index, "hv") + i_lv = get_trafo_currents_3ph(net, index, "lv") + tf_index = net.trafo.index.get_loc(index) + if vector_group == "Dyn": + check_dyn_transformer_currents(i_hv, i_lv, ratio[tf_index], trafo["shift_degree"], rtol) + + if vector_group == "YNyn": + check_ynyn_traformer_currents(i_hv, i_lv, ratio[tf_index], trafo["shift_degree"], rtol) + + +def safe_sum(net, attr_name, column_name): + """Safely sum a column from a result DataFrame if it exists.""" + if hasattr(net, attr_name): + df = getattr(net, attr_name) + if df is not None and not df.empty and column_name in df.columns: + return df[column_name].sum() + return 0.0 + + +def safe_sum_multiple_columns(net, attr_name, column_names): + """Safely sum multiple columns from a result DataFrame if they exist.""" + if hasattr(net, attr_name): + df = getattr(net, attr_name) + if df is not None and not df.empty: + # Only sum columns that actually exist + existing_cols = [col for col in column_names if col in df.columns] + if existing_cols: + return df[existing_cols].sum().sum() return 0.0 \ No newline at end of file diff --git a/pandapower/test/control/__init__.py b/test/contingency/__init__.py similarity index 100% rename from pandapower/test/control/__init__.py rename to test/contingency/__init__.py diff --git a/pandapower/test/contingency/test_contingency.py b/test/contingency/test_contingency.py similarity index 100% rename from pandapower/test/contingency/test_contingency.py rename to test/contingency/test_contingency.py diff --git a/pandapower/test/converter/__init__.py b/test/control/__init__.py similarity index 100% rename from pandapower/test/converter/__init__.py rename to test/control/__init__.py diff --git a/pandapower/test/control/test_const_control.py b/test/control/test_const_control.py similarity index 97% rename from pandapower/test/control/test_const_control.py rename to test/control/test_const_control.py index 66ed577973..7ac1f2e3a2 100644 --- a/pandapower/test/control/test_const_control.py +++ b/test/control/test_const_control.py @@ -1,44 +1,44 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import pytest -import numpy as np -import pandas as pd -import logging as log - -from pandapower.create import create_sgen -from pandapower.networks import simple_four_bus_system -from pandapower.timeseries import DFData -from pandapower.control import ConstControl, ContinuousTapControl - -logger = log.getLogger(__name__) - - -def test_write(): - net = simple_four_bus_system() - ds = DFData(pd.DataFrame(data=[[0., 1., 2.], [2., 3., 4.]])) - c1 = ConstControl(net, 'sgen', 'p_mw', element_index=[0, 1], profile_name=[0, 1], data_source=ds) - create_sgen(net, 0, 0) - c2 = ConstControl(net, 'sgen', 'p_mw', element_index=[2], profile_name=[2], data_source=ds, - scale_factor=0.5) - for t in range(2): - c1.time_step(net, t) - c1.control_step(net) - c2.time_step(net, t) - c2.control_step(net) - assert np.all(net.sgen.p_mw.values == ds.df.loc[t].values * np.array([1, 1, 0.5])) - - -def test_write_to_object_attribute(): - net = simple_four_bus_system() - ds = DFData(pd.DataFrame(data=[1.01, 1.02, 1.03])) - ContinuousTapControl(net, 0, 1.) - c2 = ConstControl(net, 'controller', 'object.vm_set_pu', element_index=0, profile_name=0, data_source=ds) - for t in range(2): - c2.time_step(net, t) - c2.control_step(net) - assert net.controller.object.at[0].vm_set_pu == ds.df.at[t, 0] - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import pytest +import numpy as np +import pandas as pd +import logging as log + +from pandapower.create import create_sgen +from pandapower.networks import simple_four_bus_system +from pandapower.timeseries import DFData +from pandapower.control import ConstControl, ContinuousTapControl + +logger = log.getLogger(__name__) + + +def test_write(): + net = simple_four_bus_system() + ds = DFData(pd.DataFrame(data=[[0., 1., 2.], [2., 3., 4.]])) + c1 = ConstControl(net, 'sgen', 'p_mw', element_index=[0, 1], profile_name=[0, 1], data_source=ds) + create_sgen(net, 0, 0) + c2 = ConstControl(net, 'sgen', 'p_mw', element_index=[2], profile_name=[2], data_source=ds, + scale_factor=0.5) + for t in range(2): + c1.time_step(net, t) + c1.control_step(net) + c2.time_step(net, t) + c2.control_step(net) + assert np.all(net.sgen.p_mw.values == ds.df.loc[t].values * np.array([1, 1, 0.5])) + + +def test_write_to_object_attribute(): + net = simple_four_bus_system() + ds = DFData(pd.DataFrame(data=[1.01, 1.02, 1.03])) + ContinuousTapControl(net, 0, 1.) + c2 = ConstControl(net, 'controller', 'object.vm_set_pu', element_index=0, profile_name=0, data_source=ds) + for t in range(2): + c2.time_step(net, t) + c2.control_step(net) + assert net.controller.object.at[0].vm_set_pu == ds.df.at[t, 0] + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/control/test_continuous_tap_control.py b/test/control/test_continuous_tap_control.py similarity index 100% rename from pandapower/test/control/test_continuous_tap_control.py rename to test/control/test_continuous_tap_control.py diff --git a/pandapower/test/control/test_control.py b/test/control/test_control.py similarity index 100% rename from pandapower/test/control/test_control.py rename to test/control/test_control.py diff --git a/pandapower/test/control/test_der_control.py b/test/control/test_der_control.py similarity index 100% rename from pandapower/test/control/test_der_control.py rename to test/control/test_der_control.py diff --git a/pandapower/test/control/test_discrete_tap_control.py b/test/control/test_discrete_tap_control.py similarity index 100% rename from pandapower/test/control/test_discrete_tap_control.py rename to test/control/test_discrete_tap_control.py diff --git a/pandapower/test/control/test_shunt_control.py b/test/control/test_shunt_control.py similarity index 100% rename from pandapower/test/control/test_shunt_control.py rename to test/control/test_shunt_control.py diff --git a/pandapower/test/control/test_stactrl.py b/test/control/test_stactrl.py similarity index 98% rename from pandapower/test/control/test_stactrl.py rename to test/control/test_stactrl.py index 558611f1eb..aa8ba48f5a 100644 --- a/pandapower/test/control/test_stactrl.py +++ b/test/control/test_stactrl.py @@ -17,14 +17,16 @@ create_impedance ) from pandapower.network import pandapowerNet -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.run import runpp from pandapower.file_io import from_json -from pandapower import pp_dir from pandapower.control.util.auxiliary import create_q_capability_characteristics_object +from test import test_path + logger = logging.getLogger(__name__) + @pytest.fixture def simple_test_net(): net = pandapowerNet(name="simple_test_net") @@ -233,9 +235,9 @@ def test_qlimits_with_capability_curve(simple_test_net, v, p): net = copy.deepcopy(simple_test_net) net["q_capability_curve_table"] = DataFrame( {'id_q_capability_curve': [0, 0, 0, 0, 0], - 'p_mw': [-2.0, -1.0, 0.0, 1.0, 2.0], - 'q_min_mvar': [-0.1, -0.1, -0.1, -0.1, -0.1], - 'q_max_mvar': [0.1, 0.1, 0.1, 0.1, 0.1]}) + 'p_mw': [-2.0, -1.0, 0.0, 1.0, 2.0], + 'q_min_mvar': [-0.1, -0.1, -0.1, -0.1, -0.1], + 'q_max_mvar': [0.1, 0.1, 0.1, 0.1, 0.1]}) def test_qlimits_with_capability_curve_no_reactive_power(simple_test_net): @@ -254,7 +256,7 @@ def test_qlimits_with_capability_curve_no_reactive_power(simple_test_net): def test_stactrl_pf_import(): - path = os.path.join(pp_dir, 'test', 'control', 'testfiles', 'stactrl_test.json') + path = os.path.join(test_path, 'control', 'testfiles', 'stactrl_test.json') net = from_json(path) tol = 1e-6 runpp(net, run_control=True) @@ -435,6 +437,7 @@ def test_pf_control_ind(simple_test_net): assert(all(net.controller.object[i].converged == True for i in net.controller.index)) assert(getattr(net.controller.at[0, 'object'].control_modus, 'value', None) == 'PF_ctrl_ind') # test correct control_modus + def test_tan_phi_control(simple_test_net): net = simple_test_net tol = 1e-6 @@ -451,7 +454,7 @@ def test_tan_phi_control(simple_test_net): def test_station_ctrl_pf_import_new(): - path = os.path.join(pp_dir, 'test', 'control', 'testfiles', 'station_ctrl_test_new.json') + path = os.path.join(test_path, 'control', 'testfiles', 'station_ctrl_test_new.json') net = from_json(path) tol = 1e-6 runpp(net, run_control=True) diff --git a/pandapower/test/control/test_tap_dependent_impedance.py b/test/control/test_tap_dependent_impedance.py similarity index 99% rename from pandapower/test/control/test_tap_dependent_impedance.py rename to test/control/test_tap_dependent_impedance.py index 5b37c7af5f..994a490188 100644 --- a/pandapower/test/control/test_tap_dependent_impedance.py +++ b/test/control/test_tap_dependent_impedance.py @@ -8,7 +8,7 @@ from pandapower.control import ( Characteristic, SplineCharacteristic, TapDependentImpedance, trafo_characteristic_table_diagnostic ) -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.control.util.diagnostic import shunt_characteristic_table_diagnostic from pandapower.create import ( create_bus, create_ext_grid, create_transformer_from_parameters, create_load, create_line_from_parameters, diff --git a/pandapower/test/control/test_vm_set_tap_control.py b/test/control/test_vm_set_tap_control.py similarity index 100% rename from pandapower/test/control/test_vm_set_tap_control.py rename to test/control/test_vm_set_tap_control.py diff --git a/pandapower/test/control/testfiles/stactrl_test.json b/test/control/testfiles/stactrl_test.json similarity index 100% rename from pandapower/test/control/testfiles/stactrl_test.json rename to test/control/testfiles/stactrl_test.json diff --git a/pandapower/test/control/testfiles/station_ctrl_test_new.json b/test/control/testfiles/station_ctrl_test_new.json similarity index 100% rename from pandapower/test/control/testfiles/station_ctrl_test_new.json rename to test/control/testfiles/station_ctrl_test_new.json diff --git a/pandapower/test/create/__init__.py b/test/converter/__init__.py similarity index 100% rename from pandapower/test/create/__init__.py rename to test/converter/__init__.py diff --git a/pandapower/test/converter/case24_ieee_rts.m b/test/converter/case24_ieee_rts.m similarity index 100% rename from pandapower/test/converter/case24_ieee_rts.m rename to test/converter/case24_ieee_rts.m diff --git a/pandapower/test/converter/case24_ieee_rts.mat b/test/converter/case24_ieee_rts.mat similarity index 100% rename from pandapower/test/converter/case24_ieee_rts.mat rename to test/converter/case24_ieee_rts.mat diff --git a/pandapower/test/converter/case2_2_by_code.json b/test/converter/case2_2_by_code.json similarity index 97% rename from pandapower/test/converter/case2_2_by_code.json rename to test/converter/case2_2_by_code.json index 2bff24ce9e..64ba047b5f 100644 --- a/pandapower/test/converter/case2_2_by_code.json +++ b/test/converter/case2_2_by_code.json @@ -1,2160 +1,2160 @@ -{ - "_module": "pandapower.auxiliary", - "_class": "pandapowerNet", - "_object": { - "bus": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": 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"{\"columns\":[\"name\",\"bus\",\"p_mw\",\"q_mvar\",\"const_z_percent\",\"const_i_percent\",\"sn_mva\",\"scaling\",\"in_service\",\"type\"],\"index\":[0],\"data\":[[null,0,100.0,50.0,0.0,0.0,null,1.0,true,null]]}", - "orient": "split", - "dtype": { - "name": "object", - "bus": "uint32", - "p_mw": "float64", - "q_mvar": "float64", - "const_z_percent": "float64", - "const_i_percent": "float64", - "sn_mva": "float64", - "scaling": "float64", - "in_service": "bool", - "type": "object" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "sgen": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"q_mvar\",\"sn_mva\",\"scaling\",\"in_service\",\"type\",\"current_source\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "bus": "int64", - "p_mw": "float64", - "q_mvar": "float64", - "sn_mva": "float64", - "scaling": "float64", - "in_service": "bool", - "type": "object", - 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b/test/converter/jao_testfiles/testfile.xlsx similarity index 100% rename from pandapower/test/converter/jao_testfiles/testfile.xlsx rename to test/converter/jao_testfiles/testfile.xlsx diff --git a/pandapower/test/converter/ppc_testgrids/case14.json b/test/converter/ppc_testgrids/case14.json similarity index 100% rename from pandapower/test/converter/ppc_testgrids/case14.json rename to test/converter/ppc_testgrids/case14.json diff --git a/pandapower/test/converter/ppc_testgrids/case2_1.json b/test/converter/ppc_testgrids/case2_1.json similarity index 100% rename from pandapower/test/converter/ppc_testgrids/case2_1.json rename to test/converter/ppc_testgrids/case2_1.json diff --git a/pandapower/test/converter/ppc_testgrids/case2_2.json b/test/converter/ppc_testgrids/case2_2.json similarity index 100% rename from pandapower/test/converter/ppc_testgrids/case2_2.json rename to test/converter/ppc_testgrids/case2_2.json diff --git a/pandapower/test/converter/ppc_testgrids/case2_3.json b/test/converter/ppc_testgrids/case2_3.json similarity index 100% rename from pandapower/test/converter/ppc_testgrids/case2_3.json rename to test/converter/ppc_testgrids/case2_3.json diff --git a/pandapower/test/converter/ppc_testgrids/case2_4.json b/test/converter/ppc_testgrids/case2_4.json similarity index 100% rename from pandapower/test/converter/ppc_testgrids/case2_4.json rename to test/converter/ppc_testgrids/case2_4.json diff --git a/pandapower/test/converter/ppc_testgrids/case3_1.json b/test/converter/ppc_testgrids/case3_1.json similarity index 100% rename from pandapower/test/converter/ppc_testgrids/case3_1.json rename to test/converter/ppc_testgrids/case3_1.json diff --git a/pandapower/test/converter/ppc_testgrids/case3_2.json b/test/converter/ppc_testgrids/case3_2.json similarity index 100% rename from pandapower/test/converter/ppc_testgrids/case3_2.json rename to test/converter/ppc_testgrids/case3_2.json diff --git a/pandapower/test/converter/ppc_testgrids/case57.json b/test/converter/ppc_testgrids/case57.json similarity index 100% rename from pandapower/test/converter/ppc_testgrids/case57.json rename to test/converter/ppc_testgrids/case57.json diff --git a/pandapower/test/converter/ppc_testgrids/case6.json b/test/converter/ppc_testgrids/case6.json similarity index 100% rename from pandapower/test/converter/ppc_testgrids/case6.json rename to test/converter/ppc_testgrids/case6.json diff --git a/pandapower/test/converter/pypower_cases/case118.json b/test/converter/pypower_cases/case118.json similarity index 100% rename from pandapower/test/converter/pypower_cases/case118.json rename to test/converter/pypower_cases/case118.json diff --git a/pandapower/test/converter/pypower_cases/case24_ieee_rts.json b/test/converter/pypower_cases/case24_ieee_rts.json similarity index 100% rename from pandapower/test/converter/pypower_cases/case24_ieee_rts.json rename to test/converter/pypower_cases/case24_ieee_rts.json diff --git a/pandapower/test/converter/pypower_cases/case30.json b/test/converter/pypower_cases/case30.json similarity index 100% rename from pandapower/test/converter/pypower_cases/case30.json rename to test/converter/pypower_cases/case30.json diff --git a/pandapower/test/converter/pypower_cases/case300.json b/test/converter/pypower_cases/case300.json similarity index 100% rename from pandapower/test/converter/pypower_cases/case300.json rename to test/converter/pypower_cases/case300.json diff --git a/pandapower/test/converter/pypower_cases/case39.json b/test/converter/pypower_cases/case39.json similarity index 100% rename from pandapower/test/converter/pypower_cases/case39.json rename to test/converter/pypower_cases/case39.json diff --git a/pandapower/test/converter/pypower_cases/case4gs.json b/test/converter/pypower_cases/case4gs.json similarity index 100% rename from pandapower/test/converter/pypower_cases/case4gs.json rename to test/converter/pypower_cases/case4gs.json diff --git a/pandapower/test/converter/pypower_cases/case6ww.json b/test/converter/pypower_cases/case6ww.json similarity index 100% rename from pandapower/test/converter/pypower_cases/case6ww.json rename to test/converter/pypower_cases/case6ww.json diff --git a/pandapower/test/converter/pypower_cases/case9.json b/test/converter/pypower_cases/case9.json similarity index 100% rename from pandapower/test/converter/pypower_cases/case9.json rename to test/converter/pypower_cases/case9.json diff --git a/pandapower/test/converter/test_from_cim.py b/test/converter/test_from_cim.py similarity index 99% rename from pandapower/test/converter/test_from_cim.py rename to test/converter/test_from_cim.py index 2c6bc1e092..a4714b3d53 100644 --- a/pandapower/test/converter/test_from_cim.py +++ b/test/converter/test_from_cim.py @@ -1,18 +1,17 @@ import os +import math import numpy as np import pytest -import math import pandas as pd -from pandapower.test import test_path - from pandapower.converter.cim.cim2pp.from_cim import from_cim, from_cim_dict from pandapower.converter.cim.cim_classes import CimParser from pandapower.run import runpp - from pandapower.control.util.auxiliary import create_trafo_characteristic_object, create_shunt_characteristic_object +from test import test_path + @pytest.fixture(scope="module") def mini_sc_mod(): @@ -185,7 +184,7 @@ def test_micro_sc_trafo(mirco_sc): assert element_0['vk0_percent'].item() == pytest.approx(12.000000798749786, abs=0.00001) assert element_0['vkr0_percent'].item() == pytest.approx(0.2149991967411512, abs=0.00001) assert not element_0['oltc'].item() # TODO: needs additional test - assert not element_0['power_station_unit'].item() #TODO: needs additional test + assert not element_0['power_station_unit'].item() # TODO: needs additional test # sc parameter si0_hv_partial, mag0_rx, mag0_percent missing def test_micro_sc_trafo3w(mirco_sc): diff --git a/pandapower/test/converter/test_from_jao.py b/test/converter/test_from_jao.py similarity index 93% rename from pandapower/test/converter/test_from_jao.py rename to test/converter/test_from_jao.py index 051a9a0e3f..61acb801aa 100644 --- a/pandapower/test/converter/test_from_jao.py +++ b/test/converter/test_from_jao.py @@ -5,13 +5,14 @@ import numpy as np import pytest -from pandapower import pp_dir from pandapower.toolbox.comparison import nets_equal from pandapower.converter.jao import from_jao +from test import test_path + def test_from_jao_with_testfile(): - testfile = os.path.join(pp_dir, "test", "converter", "jao_testfiles", "testfile.xlsx") + testfile = os.path.join(test_path, "converter", "jao_testfiles", "testfile.xlsx") assert os.path.isfile(testfile) # --- net1 diff --git a/pandapower/test/converter/test_from_mpc.py b/test/converter/test_from_mpc.py similarity index 92% rename from pandapower/test/converter/test_from_mpc.py rename to test/converter/test_from_mpc.py index d7742cc4c3..62c612ea85 100644 --- a/pandapower/test/converter/test_from_mpc.py +++ b/test/converter/test_from_mpc.py @@ -2,10 +2,10 @@ # and Energy System Technology (IEE), Kassel. All rights reserved. import os +import logging import pytest -from pandapower import pp_dir from pandapower.converter.matpower import from_mpc from pandapower.networks import case24_ieee_rts from pandapower.run import runpp, set_user_pf_options @@ -19,7 +19,7 @@ except ImportError: matpowercaseframes_imported = False -import logging +from test import test_path logger = logging.getLogger(__name__) @@ -27,7 +27,7 @@ def test_from_mpc_mat(): case24 = case24_ieee_rts() set_user_pf_options(case24) - this_folder = os.path.join(pp_dir, "test", "converter") + this_folder = os.path.join(test_path, "converter") mat_case = os.path.join(this_folder, 'case24_ieee_rts.mat') case24_from_mpc = from_mpc(mat_case, f_hz=60, casename_mpc_file='mpc', tap_side="hv") # TODO: remove after https://github.com/e2nIEE/pandapower/pull/2813: @@ -45,7 +45,7 @@ def test_from_mpc_mat(): @pytest.mark.skipif(not matpowercaseframes_imported, reason="matpowercaseframes is needed to convert .m files.") def test_from_mpc_m(): - this_folder = os.path.join(pp_dir, "test", "converter") + this_folder = os.path.join(test_path, "converter") mat_case = os.path.join(this_folder, 'case24_ieee_rts.mat') m_case = os.path.join(this_folder, 'case24_ieee_rts.m') case24_mat = from_mpc(mat_case, f_hz=60, casename_mpc_file='mpc', tap_side="hv") diff --git a/pandapower/test/estimation/__init__.py b/test/converter/test_from_opendss.py similarity index 100% rename from pandapower/test/estimation/__init__.py rename to test/converter/test_from_opendss.py diff --git a/pandapower/test/converter/test_from_powerfactory.py b/test/converter/test_from_powerfactory.py similarity index 99% rename from pandapower/test/converter/test_from_powerfactory.py rename to test/converter/test_from_powerfactory.py index 58796304d2..ac0f6dc64e 100644 --- a/pandapower/test/converter/test_from_powerfactory.py +++ b/test/converter/test_from_powerfactory.py @@ -1,13 +1,12 @@ -import numpy as np -import pandas as pd - import os + import pytest +import numpy as np +import pandas as pd from numpy.ma.testutils import assert_array_equal from pandapower.converter.powerfactory.validate import validate_pf_conversion from pandapower.converter.powerfactory.export_pfd_to_pp import import_project, from_pfd -from pandapower import pp_dir from pandapower.file_io import from_json from packaging.version import Version @@ -24,6 +23,7 @@ PF_INSTALLED = False logger.info('could not import powerfactory, converter test pf2pp not possible') +from test import test_path def get_tol(): # tolerances for validation diff --git a/pandapower/test/converter/test_from_powerfactory_3ph.py b/test/converter/test_from_powerfactory_3ph.py similarity index 99% rename from pandapower/test/converter/test_from_powerfactory_3ph.py rename to test/converter/test_from_powerfactory_3ph.py index e1131f9e47..77abb5367f 100644 --- a/pandapower/test/converter/test_from_powerfactory_3ph.py +++ b/test/converter/test_from_powerfactory_3ph.py @@ -3,18 +3,19 @@ import pytest import numpy as np -from pandapower import pp_dir from pandapower.pf.runpp_3ph import runpp_3ph from pandapower.file_io import from_json +from pandapower.converter.powerfactory.pf_export_functions import run_load_flow as run_powerfactory_load_flow +from pandapower.converter.powerfactory.validate import _get_pf_results_unbalanced, _set_pf_results_unbalanced + +import pandas as pd try: from pandaplan.core import pplog as logging except ImportError: import logging - logger = logging.getLogger(__name__) -testfiles_path = os.path.join(pp_dir, 'test', 'converter', 'testfiles') try: import powerfactory as pf @@ -24,10 +25,9 @@ PF_INSTALLED = False logger.info('could not import powerfactory, unbalanced load flow comparsion between pf and pp not possible') -from pandapower.converter.powerfactory.pf_export_functions import run_load_flow as run_powerfactory_load_flow -from pandapower.converter.powerfactory.validate import _get_pf_results_unbalanced, _set_pf_results_unbalanced +from test import test_path -import pandas as pd +testfiles_path = os.path.join(test_path, 'converter', 'testfiles') # @pytest.mark.skipif(not PF_INSTALLED, reason='powerfactory must be installed') diff --git a/pandapower/test/converter/test_from_ppc.py b/test/converter/test_from_ppc.py similarity index 99% rename from pandapower/test/converter/test_from_ppc.py rename to test/converter/test_from_ppc.py index 24f7bb0b93..8c8a3fe0aa 100644 --- a/pandapower/test/converter/test_from_ppc.py +++ b/test/converter/test_from_ppc.py @@ -30,6 +30,8 @@ except: import logging +from test import test_path + logger = logging.getLogger(__name__) max_diff_values1 = {"bus_vm_pu": 1e-6, "bus_va_degree": 1e-5, "branch_p_mw": 1e-3, "branch_q_mvar": 1e-3, "gen_p_mw": 1e-3, "gen_q_mvar": 1e-3} @@ -40,8 +42,7 @@ def get_testgrids(foldername, filename): This function return the ppc (or pp net) which is saved in ppc_testgrids.p to validate the from_ppc function via validate_from_ppc. """ - folder = os.path.join(pp_dir, 'test', 'converter', foldername) - file = os.path.join(folder, filename) + file = os.path.join(test_path, 'converter', foldername, filename) convert = "ppc" in filename ppcs = from_json(file, convert=convert) return ppcs diff --git a/pandapower/test/converter/test_from_ucte.py b/test/converter/test_from_ucte.py similarity index 95% rename from pandapower/test/converter/test_from_ucte.py rename to test/converter/test_from_ucte.py index 1b2150784e..c0e7245765 100644 --- a/pandapower/test/converter/test_from_ucte.py +++ b/test/converter/test_from_ucte.py @@ -2,21 +2,24 @@ # and Energy System Technology (IEE), Kassel. All rights reserved. import os +import logging + import pytest import numpy as np import pandas as pd -from pandapower import pp_dir, pandapowerNet +from pandapower.network import pandapowerNet from pandapower.run import runpp from pandapower.toolbox.element_selection import count_elements import pandapower.converter.ucte as ucte_converter -import logging + +from test import test_path logger = logging.getLogger(__name__) def _testfiles_folder(): - return os.path.join(pp_dir, 'test', 'converter', "testfiles") + return os.path.join(test_path, 'converter', "testfiles") def _results_from_powerfactory(): @@ -66,10 +69,10 @@ def test_from_ucte(test_case): 2. comparing the power flow results with expected results The expected power flow results and the UCTE data files are derived from the - pandapower/test/converter/testfiles/test_ucte.pfd file and power factory version 2024 service + test/converter/testfiles/test_ucte.pfd file and power factory version 2024 service pack 1. The test case are derived from the test cases to check the power flow results without any convter, cf - pandapower/test/test_files/test_results.pfd and pandapower/test/loadflow/test_runpp.py. + test/test_files/test_results.pfd and test/loadflow/test_runpp.py. Parameters ---------- diff --git a/pandapower/test/converter/test_to_pm_init_results.py b/test/converter/test_to_pm_init_results.py similarity index 100% rename from pandapower/test/converter/test_to_pm_init_results.py rename to test/converter/test_to_pm_init_results.py diff --git a/pandapower/test/converter/test_to_ppc_and_mpc.py b/test/converter/test_to_ppc_and_mpc.py similarity index 94% rename from pandapower/test/converter/test_to_ppc_and_mpc.py rename to test/converter/test_to_ppc_and_mpc.py index df0e307cb2..347ef14c7f 100644 --- a/pandapower/test/converter/test_to_ppc_and_mpc.py +++ b/test/converter/test_to_ppc_and_mpc.py @@ -1,59 +1,60 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import numpy as np -import pytest - -from pandapower.converter.matpower import to_ppc, to_mpc -from pandapower.networks import case4gs, case6ww, case30, case39 -from pandapower.pf.runpf_pypower import _runpf_pypower -from pandapower.powerflow import LoadflowNotConverged -from pandapower.pypower.idx_bus import VM, BUS_I, VA -from pandapower.results import reset_results -from pandapower.run import runpp -from pandapower.test.converter.test_from_ppc import get_testgrids - - -@pytest.mark.parametrize("pandapower_function", [case4gs, case6ww, case30, case39]) -def test_to_ppc_and_mpc(pandapower_function): - # pypower cases to validate - # get pypower grids with results - ppc_net = get_testgrids("pypower_cases", f"{pandapower_function.__name__}.json") - - # get pandapower grids - net = pandapower_function() - reset_results(net) - - # This should be reviewed - runpp(net) - - # convert pandapower grids to ppc - ppc = to_ppc(net) - # convert pandapower grids to mpc (no result validation) - mpc = to_mpc(net) - - # validate voltage results of pandapower-to-ppc-converted grids vs. original pypower results - net["_options"]["ac"] = True - net["_options"]["numba"] = True - net["_options"]["tolerance_mva"] = 1e-8 - net["_options"]["algorithm"] = "fdbx" - net["_options"]["max_iteration"] = 30 - net["_options"]["enforce_q_lims"] = False - net["_options"]["calculate_voltage_angles"] = True - res_converted_pp, status_converted_pp = _runpf_pypower(ppc, net["_options"]) - - if status_converted_pp: - # get lookup pp2ppc - bus_lookup = net["_pd2ppc_lookups"]["bus"] - # check for equality in bus voltages - pp_buses = bus_lookup[res_converted_pp["bus"][:, BUS_I].astype(np.int64)] - res1 = res_converted_pp["bus"][pp_buses, VM : VA + 1] - res2 = ppc_net["bus"][:, VM : VA + 1] - assert np.allclose(res1, res2) - else: - raise LoadflowNotConverged("Loadflow did not converge!") - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import numpy as np +import pytest + +from pandapower.converter.matpower import to_ppc, to_mpc +from pandapower.networks import case4gs, case6ww, case30, case39 +from pandapower.pf.runpf_pypower import _runpf_pypower +from pandapower.powerflow import LoadflowNotConverged +from pandapower.pypower.idx_bus import VM, BUS_I, VA +from pandapower.results import reset_results +from pandapower.run import runpp + +from test.converter.test_from_ppc import get_testgrids + + +@pytest.mark.parametrize("pandapower_function", [case4gs, case6ww, case30, case39]) +def test_to_ppc_and_mpc(pandapower_function): + # pypower cases to validate + # get pypower grids with results + ppc_net = get_testgrids("pypower_cases", f"{pandapower_function.__name__}.json") + + # get pandapower grids + net = pandapower_function() + reset_results(net) + + # This should be reviewed + runpp(net) + + # convert pandapower grids to ppc + ppc = to_ppc(net) + # convert pandapower grids to mpc (no result validation) + mpc = to_mpc(net) + + # validate voltage results of pandapower-to-ppc-converted grids vs. original pypower results + net["_options"]["ac"] = True + net["_options"]["numba"] = True + net["_options"]["tolerance_mva"] = 1e-8 + net["_options"]["algorithm"] = "fdbx" + net["_options"]["max_iteration"] = 30 + net["_options"]["enforce_q_lims"] = False + net["_options"]["calculate_voltage_angles"] = True + res_converted_pp, status_converted_pp = _runpf_pypower(ppc, net["_options"]) + + if status_converted_pp: + # get lookup pp2ppc + bus_lookup = net["_pd2ppc_lookups"]["bus"] + # check for equality in bus voltages + pp_buses = bus_lookup[res_converted_pp["bus"][:, BUS_I].astype(np.int64)] + res1 = res_converted_pp["bus"][pp_buses, VM : VA + 1] + res2 = ppc_net["bus"][:, VM : VA + 1] + assert np.allclose(res1, res2) + else: + raise LoadflowNotConverged("Loadflow did not converge!") + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/converter/testfiles/StationControllerTest.pfd b/test/converter/testfiles/StationControllerTest.pfd similarity index 100% rename from pandapower/test/converter/testfiles/StationControllerTest.pfd rename to test/converter/testfiles/StationControllerTest.pfd diff --git a/pandapower/test/converter/testfiles/mixed_zip_loads.pfd b/test/converter/testfiles/mixed_zip_loads.pfd similarity index 100% rename from pandapower/test/converter/testfiles/mixed_zip_loads.pfd rename to test/converter/testfiles/mixed_zip_loads.pfd diff --git a/pandapower/test/converter/testfiles/pf_combinations_results_net_bus_trafo_line_load_19.10.20.json b/test/converter/testfiles/pf_combinations_results_net_bus_trafo_line_load_19.10.20.json similarity index 100% rename from pandapower/test/converter/testfiles/pf_combinations_results_net_bus_trafo_line_load_19.10.20.json rename to test/converter/testfiles/pf_combinations_results_net_bus_trafo_line_load_19.10.20.json diff --git a/pandapower/test/converter/testfiles/pf_combinations_results_trafo.json b/test/converter/testfiles/pf_combinations_results_trafo.json similarity index 100% rename from pandapower/test/converter/testfiles/pf_combinations_results_trafo.json rename to test/converter/testfiles/pf_combinations_results_trafo.json diff --git a/pandapower/test/converter/testfiles/pf_results_line.json b/test/converter/testfiles/pf_results_line.json similarity index 100% rename from pandapower/test/converter/testfiles/pf_results_line.json rename to test/converter/testfiles/pf_results_line.json diff --git a/pandapower/test/converter/testfiles/q_capabiltiy_curve.pfd b/test/converter/testfiles/q_capabiltiy_curve.pfd similarity index 100% rename from pandapower/test/converter/testfiles/q_capabiltiy_curve.pfd rename to test/converter/testfiles/q_capabiltiy_curve.pfd diff --git a/pandapower/test/converter/testfiles/tap_table_from_tdi.pfd b/test/converter/testfiles/tap_table_from_tdi.pfd similarity index 100% rename from pandapower/test/converter/testfiles/tap_table_from_tdi.pfd rename to test/converter/testfiles/tap_table_from_tdi.pfd diff --git a/pandapower/test/converter/testfiles/test_SC_meas_relocate.pfd b/test/converter/testfiles/test_SC_meas_relocate.pfd similarity index 100% rename from pandapower/test/converter/testfiles/test_SC_meas_relocate.pfd rename to test/converter/testfiles/test_SC_meas_relocate.pfd diff --git a/pandapower/test/converter/testfiles/test_export.pfd b/test/converter/testfiles/test_export.pfd similarity index 100% rename from pandapower/test/converter/testfiles/test_export.pfd rename to test/converter/testfiles/test_export.pfd diff --git a/pandapower/test/converter/testfiles/test_line_3ph.json b/test/converter/testfiles/test_line_3ph.json similarity index 100% rename from pandapower/test/converter/testfiles/test_line_3ph.json rename to test/converter/testfiles/test_line_3ph.json diff --git a/pandapower/test/converter/testfiles/test_net_3ph_test_2020_10_19.json b/test/converter/testfiles/test_net_3ph_test_2020_10_19.json similarity index 100% rename from pandapower/test/converter/testfiles/test_net_3ph_test_2020_10_19.json rename to test/converter/testfiles/test_net_3ph_test_2020_10_19.json diff --git a/pandapower/test/converter/testfiles/test_partial_loads.pfd b/test/converter/testfiles/test_partial_loads.pfd similarity index 100% rename from pandapower/test/converter/testfiles/test_partial_loads.pfd rename to test/converter/testfiles/test_partial_loads.pfd diff --git a/pandapower/test/converter/testfiles/test_shunt_table.pfd b/test/converter/testfiles/test_shunt_table.pfd similarity index 100% rename from pandapower/test/converter/testfiles/test_shunt_table.pfd rename to test/converter/testfiles/test_shunt_table.pfd diff --git a/pandapower/test/converter/testfiles/test_tap_changer.pfd b/test/converter/testfiles/test_tap_changer.pfd similarity index 100% rename from pandapower/test/converter/testfiles/test_tap_changer.pfd rename to test/converter/testfiles/test_tap_changer.pfd diff --git a/pandapower/test/converter/testfiles/test_trafo3w.pfd b/test/converter/testfiles/test_trafo3w.pfd similarity index 100% rename from pandapower/test/converter/testfiles/test_trafo3w.pfd rename to test/converter/testfiles/test_trafo3w.pfd diff --git a/pandapower/test/converter/testfiles/test_trafo_3ph.json b/test/converter/testfiles/test_trafo_3ph.json similarity index 100% rename from pandapower/test/converter/testfiles/test_trafo_3ph.json rename to test/converter/testfiles/test_trafo_3ph.json diff --git a/pandapower/test/converter/testfiles/test_ucte.pfd b/test/converter/testfiles/test_ucte.pfd similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte.pfd rename to test/converter/testfiles/test_ucte.pfd diff --git a/pandapower/test/converter/testfiles/test_ucte_AL.uct b/test/converter/testfiles/test_ucte_AL.uct similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_AL.uct rename to test/converter/testfiles/test_ucte_AL.uct diff --git a/pandapower/test/converter/testfiles/test_ucte_DE.uct b/test/converter/testfiles/test_ucte_DE.uct similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_DE.uct rename to test/converter/testfiles/test_ucte_DE.uct diff --git a/pandapower/test/converter/testfiles/test_ucte_DK.uct b/test/converter/testfiles/test_ucte_DK.uct similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_DK.uct rename to test/converter/testfiles/test_ucte_DK.uct diff --git a/pandapower/test/converter/testfiles/test_ucte_ES.uct b/test/converter/testfiles/test_ucte_ES.uct similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_ES.uct rename to test/converter/testfiles/test_ucte_ES.uct diff --git a/pandapower/test/converter/testfiles/test_ucte_FR.uct b/test/converter/testfiles/test_ucte_FR.uct similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_FR.uct rename to test/converter/testfiles/test_ucte_FR.uct diff --git a/pandapower/test/converter/testfiles/test_ucte_HR.uct b/test/converter/testfiles/test_ucte_HR.uct similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_HR.uct rename to test/converter/testfiles/test_ucte_HR.uct diff --git a/pandapower/test/converter/testfiles/test_ucte_HU.uct b/test/converter/testfiles/test_ucte_HU.uct similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_HU.uct rename to test/converter/testfiles/test_ucte_HU.uct diff --git a/pandapower/test/converter/testfiles/test_ucte_IT.uct b/test/converter/testfiles/test_ucte_IT.uct similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_IT.uct rename to test/converter/testfiles/test_ucte_IT.uct diff --git a/pandapower/test/converter/testfiles/test_ucte_LU.uct b/test/converter/testfiles/test_ucte_LU.uct similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_LU.uct rename to test/converter/testfiles/test_ucte_LU.uct diff --git a/pandapower/test/converter/testfiles/test_ucte_NL.uct b/test/converter/testfiles/test_ucte_NL.uct similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_NL.uct rename to test/converter/testfiles/test_ucte_NL.uct diff --git a/pandapower/test/converter/testfiles/test_ucte_RS.uct b/test/converter/testfiles/test_ucte_RS.uct similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_RS.uct rename to test/converter/testfiles/test_ucte_RS.uct diff --git a/pandapower/test/converter/testfiles/test_ucte_res_bus.csv b/test/converter/testfiles/test_ucte_res_bus.csv similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_res_bus.csv rename to test/converter/testfiles/test_ucte_res_bus.csv diff --git a/pandapower/test/converter/testfiles/test_ucte_res_line.csv b/test/converter/testfiles/test_ucte_res_line.csv similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_res_line.csv rename to test/converter/testfiles/test_ucte_res_line.csv diff --git a/pandapower/test/converter/testfiles/test_ucte_res_trafo.csv b/test/converter/testfiles/test_ucte_res_trafo.csv similarity index 100% rename from pandapower/test/converter/testfiles/test_ucte_res_trafo.csv rename to test/converter/testfiles/test_ucte_res_trafo.csv diff --git a/pandapower/test/converter/testfiles/test_vdroop_local.pfd b/test/converter/testfiles/test_vdroop_local.pfd similarity index 100% rename from pandapower/test/converter/testfiles/test_vdroop_local.pfd rename to test/converter/testfiles/test_vdroop_local.pfd diff --git a/pandapower/test/converter/testfiles/trafo_tap_model.json b/test/converter/testfiles/trafo_tap_model.json similarity index 100% rename from pandapower/test/converter/testfiles/trafo_tap_model.json rename to test/converter/testfiles/trafo_tap_model.json diff --git a/pandapower/test/converter/testfiles/ucte_expected_element_counts.csv b/test/converter/testfiles/ucte_expected_element_counts.csv similarity index 100% rename from pandapower/test/converter/testfiles/ucte_expected_element_counts.csv rename to test/converter/testfiles/ucte_expected_element_counts.csv diff --git a/pandapower/test/grid_equivalents/__init__.py b/test/create/__init__.py similarity index 100% rename from pandapower/test/grid_equivalents/__init__.py rename to test/create/__init__.py diff --git a/pandapower/test/create/test_bus_create.py b/test/create/test_bus_create.py similarity index 100% rename from pandapower/test/create/test_bus_create.py rename to test/create/test_bus_create.py diff --git a/pandapower/test/create/test_cost_create.py b/test/create/test_cost_create.py similarity index 100% rename from pandapower/test/create/test_cost_create.py rename to test/create/test_cost_create.py diff --git a/pandapower/test/create/test_create.py b/test/create/test_create.py similarity index 100% rename from pandapower/test/create/test_create.py rename to test/create/test_create.py diff --git a/pandapower/test/create/test_ext_grid_create.py b/test/create/test_ext_grid_create.py similarity index 100% rename from pandapower/test/create/test_ext_grid_create.py rename to test/create/test_ext_grid_create.py diff --git a/pandapower/test/create/test_gen_create.py b/test/create/test_gen_create.py similarity index 100% rename from pandapower/test/create/test_gen_create.py rename to test/create/test_gen_create.py diff --git a/pandapower/test/create/test_group_create.py b/test/create/test_group_create.py similarity index 100% rename from pandapower/test/create/test_group_create.py rename to test/create/test_group_create.py diff --git a/pandapower/test/create/test_impedance_create.py b/test/create/test_impedance_create.py similarity index 100% rename from pandapower/test/create/test_impedance_create.py rename to test/create/test_impedance_create.py diff --git a/pandapower/test/create/test_line_create.py b/test/create/test_line_create.py similarity index 100% rename from pandapower/test/create/test_line_create.py rename to test/create/test_line_create.py diff --git a/pandapower/test/create/test_load_create.py b/test/create/test_load_create.py similarity index 100% rename from pandapower/test/create/test_load_create.py rename to test/create/test_load_create.py diff --git a/pandapower/test/create/test_measurement_create.py b/test/create/test_measurement_create.py similarity index 100% rename from pandapower/test/create/test_measurement_create.py rename to test/create/test_measurement_create.py diff --git a/pandapower/test/create/test_motor_create.py b/test/create/test_motor_create.py similarity index 100% rename from pandapower/test/create/test_motor_create.py rename to test/create/test_motor_create.py diff --git a/pandapower/test/create/test_sgen_create.py b/test/create/test_sgen_create.py similarity index 100% rename from pandapower/test/create/test_sgen_create.py rename to test/create/test_sgen_create.py diff --git a/pandapower/test/create/test_shunt_create.py b/test/create/test_shunt_create.py similarity index 100% rename from pandapower/test/create/test_shunt_create.py rename to test/create/test_shunt_create.py diff --git a/pandapower/test/create/test_source_create.py b/test/create/test_source_create.py similarity index 100% rename from pandapower/test/create/test_source_create.py rename to test/create/test_source_create.py diff --git a/pandapower/test/create/test_storage_create.py b/test/create/test_storage_create.py similarity index 100% rename from pandapower/test/create/test_storage_create.py rename to test/create/test_storage_create.py diff --git a/pandapower/test/create/test_switch_create.py b/test/create/test_switch_create.py similarity index 100% rename from pandapower/test/create/test_switch_create.py rename to test/create/test_switch_create.py diff --git a/pandapower/test/create/test_trafo_characteristic_create.py b/test/create/test_trafo_characteristic_create.py similarity index 100% rename from pandapower/test/create/test_trafo_characteristic_create.py rename to test/create/test_trafo_characteristic_create.py diff --git a/pandapower/test/create/test_trafo_create.py b/test/create/test_trafo_create.py similarity index 100% rename from pandapower/test/create/test_trafo_create.py rename to test/create/test_trafo_create.py diff --git a/pandapower/test/create/test_ward_create.py b/test/create/test_ward_create.py similarity index 100% rename from pandapower/test/create/test_ward_create.py rename to test/create/test_ward_create.py diff --git a/pandapower/test/estimation/3bus_wls.json b/test/estimation/3bus_wls.json similarity index 97% rename from pandapower/test/estimation/3bus_wls.json rename to test/estimation/3bus_wls.json index 26c5d795b9..f0a8508cec 100644 --- a/pandapower/test/estimation/3bus_wls.json +++ b/test/estimation/3bus_wls.json @@ -1,1904 +1,1904 @@ -{ - "_module": "pandapower.auxiliary", - "_class": "pandapowerNet", - "_object": { - "bus": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"vn_kv\",\"type\",\"zone\",\"in_service\",\"geo\"],\"index\":[0,1,2,3],\"data\":[[\"bus1\",1.0,\"b\",null,true,null],[\"bus2\",1.0,\"b\",null,true,null],[\"bus3\",1.0,\"b\",null,true,null],[\"bus4\",1.0,\"b\",null,false,null]]}", - "orient": "split", - "dtype": { - "name": "object", - "vn_kv": "float64", - "type": "object", - "zone": "object", - "in_service": "bool", - "geo": "object" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "bus_dc": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"vn_kv\",\"type\",\"zone\",\"in_service\",\"geo\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "vn_kv": "float64", - "type": "object", - "zone": "object", - "in_service": "bool", - "geo": "object" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "load": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"q_mvar\",\"const_z_percent\",\"const_i_percent\",\"sn_mva\",\"scaling\",\"in_service\",\"type\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "bus": "uint32", - "p_mw": "float64", - "q_mvar": "float64", - "const_z_percent": "float64", - "const_i_percent": "float64", - "sn_mva": "float64", - "scaling": "float64", - "in_service": "bool", - "type": "object" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "sgen": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"q_mvar\",\"sn_mva\",\"scaling\",\"in_service\",\"type\",\"current_source\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "bus": "int64", - "p_mw": "float64", - "q_mvar": "float64", - "sn_mva": "float64", - "scaling": "float64", - "in_service": "bool", - "type": "object", - "current_source": "bool" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "motor": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"pn_mech_mw\",\"loading_percent\",\"cos_phi\",\"cos_phi_n\",\"efficiency_percent\",\"efficiency_n_percent\",\"lrc_pu\",\"vn_kv\",\"scaling\",\"in_service\",\"rx\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "bus": "int64", - "pn_mech_mw": "float64", - "loading_percent": "float64", - "cos_phi": "float64", - "cos_phi_n": "float64", - "efficiency_percent": "float64", - "efficiency_n_percent": "float64", - "lrc_pu": "float64", - "vn_kv": "float64", - "scaling": "float64", - "in_service": "bool", - "rx": "float64" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "asymmetric_load": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"p_a_mw\",\"q_a_mvar\",\"p_b_mw\",\"q_b_mvar\",\"p_c_mw\",\"q_c_mvar\",\"sn_mva\",\"scaling\",\"in_service\",\"type\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "bus": "uint32", - "p_a_mw": "float64", - "q_a_mvar": "float64", - "p_b_mw": "float64", - "q_b_mvar": "float64", - "p_c_mw": "float64", - "q_c_mvar": "float64", - "sn_mva": "float64", - "scaling": "float64", - "in_service": "bool", - "type": "object" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "asymmetric_sgen": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"p_a_mw\",\"q_a_mvar\",\"p_b_mw\",\"q_b_mvar\",\"p_c_mw\",\"q_c_mvar\",\"sn_mva\",\"scaling\",\"in_service\",\"type\",\"current_source\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "bus": "int64", - "p_a_mw": "float64", - "q_a_mvar": "float64", - "p_b_mw": "float64", - "q_b_mvar": "float64", - "p_c_mw": "float64", - "q_c_mvar": "float64", - "sn_mva": "float64", - "scaling": "float64", - "in_service": "bool", - "type": "object", - "current_source": "bool" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "storage": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"q_mvar\",\"sn_mva\",\"soc_percent\",\"min_e_mwh\",\"max_e_mwh\",\"scaling\",\"in_service\",\"type\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "bus": "int64", - "p_mw": "float64", - "q_mvar": "float64", - "sn_mva": "float64", - "soc_percent": "float64", - "min_e_mwh": "float64", - "max_e_mwh": "float64", - "scaling": "float64", - "in_service": "bool", - "type": "object" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "gen": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"vm_pu\",\"sn_mva\",\"min_q_mvar\",\"max_q_mvar\",\"scaling\",\"slack\",\"in_service\",\"type\",\"slack_weight\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "bus": "uint32", - "p_mw": "float64", - "vm_pu": "float64", - "sn_mva": "float64", - "min_q_mvar": "float64", - "max_q_mvar": "float64", - "scaling": "float64", - "slack": "bool", - "in_service": "bool", - "type": "object", - "slack_weight": "float64" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "switch": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"bus\",\"element\",\"et\",\"type\",\"closed\",\"name\",\"z_ohm\",\"in_ka\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "bus": "int64", - "element": "int64", - "et": "object", - "type": "object", - "closed": "bool", - "name": "object", - "z_ohm": "float64", - "in_ka": "float64" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "shunt": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"bus\",\"name\",\"q_mvar\",\"p_mw\",\"vn_kv\",\"step\",\"max_step\",\"in_service\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "bus": "uint32", - "name": "object", - "q_mvar": "float64", - "p_mw": "float64", - "vn_kv": "float64", - "step": "uint32", - "max_step": "uint32", - "in_service": "bool" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "svc": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"x_l_ohm\",\"x_cvar_ohm\",\"set_vm_pu\",\"thyristor_firing_angle_degree\",\"controllable\",\"in_service\",\"min_angle_degree\",\"max_angle_degree\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "bus": "uint32", - "x_l_ohm": "float64", - "x_cvar_ohm": "float64", - "set_vm_pu": "float64", - "thyristor_firing_angle_degree": "float64", - "controllable": "bool", - "in_service": "bool", - "min_angle_degree": "float64", - "max_angle_degree": "float64" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "ssc": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"r_ohm\",\"x_ohm\",\"vm_internal_pu\",\"va_internal_degree\",\"set_vm_pu\",\"controllable\",\"in_service\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "bus": "uint32", - "r_ohm": "float64", - "x_ohm": "float64", - "vm_internal_pu": "float64", - "va_internal_degree": "float64", - "set_vm_pu": "float64", - "controllable": "bool", - "in_service": "bool" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "vsc": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": 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"in_service": "bool", - "geo": "object" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "line_dc": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"std_type\",\"from_bus_dc\",\"to_bus_dc\",\"length_km\",\"r_ohm_per_km\",\"g_us_per_km\",\"max_i_ka\",\"df\",\"parallel\",\"type\",\"in_service\",\"geo\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "std_type": "object", - "from_bus_dc": "uint32", - "to_bus_dc": "uint32", - "length_km": "float64", - "r_ohm_per_km": "float64", - "g_us_per_km": "float64", - "max_i_ka": "float64", - "df": "float64", - "parallel": "uint32", - "type": "object", - "in_service": "bool", - "geo": "object" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "trafo": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": 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rename from pandapower/test/loadflow/__init__.py rename to test/estimation/__init__.py diff --git a/pandapower/test/estimation/test_conditions.py b/test/estimation/test_conditions.py similarity index 91% rename from pandapower/test/estimation/test_conditions.py rename to test/estimation/test_conditions.py index 21afe47df5..62763b4cb6 100644 --- a/pandapower/test/estimation/test_conditions.py +++ b/test/estimation/test_conditions.py @@ -1,6 +1,7 @@ import pytest from pandapower.estimation import estimate -from pandapower.test.estimation.test_wls_estimation import create_net_with_bb_switch + +from test.estimation.test_wls_estimation import create_net_with_bb_switch def test_none_net(): diff --git a/pandapower/test/estimation/test_irwls_estimation.py b/test/estimation/test_irwls_estimation.py similarity index 96% rename from pandapower/test/estimation/test_irwls_estimation.py rename to test/estimation/test_irwls_estimation.py index 05d94b1112..315881b1df 100644 --- a/pandapower/test/estimation/test_irwls_estimation.py +++ b/test/estimation/test_irwls_estimation.py @@ -1,69 +1,69 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import os - -import numpy as np -import pytest - -from pandapower.run import runpp -from pandapower.networks.power_system_test_cases import case14 -from pandapower.estimation import estimate -from pandapower.estimation.util import add_virtual_meas_from_loadflow -from pandapower.estimation.ppc_conversion import pp2eppci -from copy import deepcopy - -from pandapower.estimation.algorithm.estimator import SHGMEstimatorIRWLS - - -def test_irwls_comp_wls(): - # it should be the same since wls will not update weight matrix - net = case14() - runpp(net) - add_virtual_meas_from_loadflow(net) - - success = estimate(net, init='flat', algorithm="irwls", estimator='wls') - assert success - - net_wls = deepcopy(net) - estimate(net_wls) - assert np.allclose(net_wls.res_bus_est.vm_pu, net.res_bus_est.vm_pu, 1e-6) - assert np.allclose(net_wls.res_bus_est.va_degree, net.res_bus_est.va_degree, 1e-6) - - -def test_shgm_ps(): - # we need an random eppci object to initialize estimator - net = case14() - runpp(net) - add_virtual_meas_from_loadflow(net) - _, _, eppci = pp2eppci(net) - - # Using the example from Mili's paper - H = np.array([[10, -10], - [1, 0], - [-1, 0], - [0, -1], - [0, 1], - [11, -10], - [-1, -1]]) - estm = SHGMEstimatorIRWLS(eppci, a=3) - ps_estm = estm._ps(H) - assert np.allclose(ps_estm, - np.array([8.39, 0.84, 0.84, 0.84, 0.84, 8.82, 1.68]), - atol=0.005) - - -def test_irwls_shgm(): - net = case14() - runpp(net) - add_virtual_meas_from_loadflow(net, p_std_dev=0.01, q_std_dev=0.01) - success = estimate(net, algorithm="irwls", estimator="shgm", - a=3, maximum_iterations=50) - assert success - assert np.allclose(net.res_bus.vm_pu, net.res_bus_est.vm_pu, 1e-2) - assert np.allclose(net.res_bus.va_degree, net.res_bus_est.va_degree, 1e-2) - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import os + +import numpy as np +import pytest + +from pandapower.run import runpp +from pandapower.networks.power_system_test_cases import case14 +from pandapower.estimation import estimate +from pandapower.estimation.util import add_virtual_meas_from_loadflow +from pandapower.estimation.ppc_conversion import pp2eppci +from copy import deepcopy + +from pandapower.estimation.algorithm.estimator import SHGMEstimatorIRWLS + + +def test_irwls_comp_wls(): + # it should be the same since wls will not update weight matrix + net = case14() + runpp(net) + add_virtual_meas_from_loadflow(net) + + success = estimate(net, init='flat', algorithm="irwls", estimator='wls') + assert success + + net_wls = deepcopy(net) + estimate(net_wls) + assert np.allclose(net_wls.res_bus_est.vm_pu, net.res_bus_est.vm_pu, 1e-6) + assert np.allclose(net_wls.res_bus_est.va_degree, net.res_bus_est.va_degree, 1e-6) + + +def test_shgm_ps(): + # we need an random eppci object to initialize estimator + net = case14() + runpp(net) + add_virtual_meas_from_loadflow(net) + _, _, eppci = pp2eppci(net) + + # Using the example from Mili's paper + H = np.array([[10, -10], + [1, 0], + [-1, 0], + [0, -1], + [0, 1], + [11, -10], + [-1, -1]]) + estm = SHGMEstimatorIRWLS(eppci, a=3) + ps_estm = estm._ps(H) + assert np.allclose(ps_estm, + np.array([8.39, 0.84, 0.84, 0.84, 0.84, 8.82, 1.68]), + atol=0.005) + + +def test_irwls_shgm(): + net = case14() + runpp(net) + add_virtual_meas_from_loadflow(net, p_std_dev=0.01, q_std_dev=0.01) + success = estimate(net, algorithm="irwls", estimator="shgm", + a=3, maximum_iterations=50) + assert success + assert np.allclose(net.res_bus.vm_pu, net.res_bus_est.vm_pu, 1e-2) + assert np.allclose(net.res_bus.va_degree, net.res_bus_est.va_degree, 1e-2) + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/estimation/test_opt_lp_estimation.py b/test/estimation/test_opt_lp_estimation.py similarity index 100% rename from pandapower/test/estimation/test_opt_lp_estimation.py rename to test/estimation/test_opt_lp_estimation.py diff --git a/pandapower/test/estimation/test_pmu.py b/test/estimation/test_pmu.py similarity index 97% rename from pandapower/test/estimation/test_pmu.py rename to test/estimation/test_pmu.py index e0a1559a9a..30ee4d1116 100644 --- a/pandapower/test/estimation/test_pmu.py +++ b/test/estimation/test_pmu.py @@ -1,57 +1,57 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import numpy as np -import pytest - -from pandapower.create import ( - create_bus, create_ext_grid, create_sgen, create_load, create_line, create_transformer3w -) -from pandapower.estimation import estimate -from pandapower.estimation.util import add_virtual_pmu_meas_from_loadflow -from pandapower.network import pandapowerNet -from pandapower.networks.power_system_test_cases import case14 -from pandapower.run import runpp - -def run_se_verify(net): - estimate(net, algorithm="wls") - if not np.allclose(net.res_bus.vm_pu, net.res_bus_est.vm_pu, atol=1e-2) or\ - not np.allclose(net.res_bus.va_degree, net.res_bus_est.va_degree, atol=1e-1): - raise AssertionError("Estimation failed!") - - -def test_pmu_case14(): - net = case14() - - runpp(net) - add_virtual_pmu_meas_from_loadflow(net) - - run_se_verify(net) - - -def test_pmu_with_trafo3w(): - net = pandapowerNet(name="test_pmu_with_trafo3w") - - bus_slack = create_bus(net, vn_kv=110) - create_ext_grid(net, bus=bus_slack) - - bus_20_1 = create_bus(net, vn_kv=20, name="b") - create_sgen(net, bus=bus_20_1, p_mw=0.03, q_mvar=0.02) - - bus_10_1 = create_bus(net, vn_kv=10) - create_sgen(net, bus=bus_10_1, p_mw=0.02, q_mvar=0.02) - - bus_10_2 = create_bus(net, vn_kv=10) - create_load(net, bus=bus_10_2, p_mw=0.06, q_mvar=0.01) - create_line(net, from_bus=bus_10_1, to_bus=bus_10_2, std_type="149-AL1/24-ST1A 10.0", length_km=2) - - create_transformer3w(net, bus_slack, bus_20_1, bus_10_1, std_type="63/25/38 MVA 110/20/10 kV") - - runpp(net) - add_virtual_pmu_meas_from_loadflow(net, with_random_error=False) - - run_se_verify(net) - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import numpy as np +import pytest + +from pandapower.create import ( + create_bus, create_ext_grid, create_sgen, create_load, create_line, create_transformer3w +) +from pandapower.estimation import estimate +from pandapower.estimation.util import add_virtual_pmu_meas_from_loadflow +from pandapower.network import pandapowerNet +from pandapower.networks.power_system_test_cases import case14 +from pandapower.run import runpp + +def run_se_verify(net): + estimate(net, algorithm="wls") + if not np.allclose(net.res_bus.vm_pu, net.res_bus_est.vm_pu, atol=1e-2) or\ + not np.allclose(net.res_bus.va_degree, net.res_bus_est.va_degree, atol=1e-1): + raise AssertionError("Estimation failed!") + + +def test_pmu_case14(): + net = case14() + + runpp(net) + add_virtual_pmu_meas_from_loadflow(net) + + run_se_verify(net) + + +def test_pmu_with_trafo3w(): + net = pandapowerNet(name="test_pmu_with_trafo3w") + + bus_slack = create_bus(net, vn_kv=110) + create_ext_grid(net, bus=bus_slack) + + bus_20_1 = create_bus(net, vn_kv=20, name="b") + create_sgen(net, bus=bus_20_1, p_mw=0.03, q_mvar=0.02) + + bus_10_1 = create_bus(net, vn_kv=10) + create_sgen(net, bus=bus_10_1, p_mw=0.02, q_mvar=0.02) + + bus_10_2 = create_bus(net, vn_kv=10) + create_load(net, bus=bus_10_2, p_mw=0.06, q_mvar=0.01) + create_line(net, from_bus=bus_10_1, to_bus=bus_10_2, std_type="149-AL1/24-ST1A 10.0", length_km=2) + + create_transformer3w(net, bus_slack, bus_20_1, bus_10_1, std_type="63/25/38 MVA 110/20/10 kV") + + runpp(net) + add_virtual_pmu_meas_from_loadflow(net, with_random_error=False) + + run_se_verify(net) + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/estimation/test_ppc_conversion.py b/test/estimation/test_ppc_conversion.py similarity index 100% rename from pandapower/test/estimation/test_ppc_conversion.py rename to test/estimation/test_ppc_conversion.py diff --git a/pandapower/test/estimation/test_recycle.py b/test/estimation/test_recycle.py similarity index 97% rename from pandapower/test/estimation/test_recycle.py rename to test/estimation/test_recycle.py index e6f3ab0af4..875cf33510 100644 --- a/pandapower/test/estimation/test_recycle.py +++ b/test/estimation/test_recycle.py @@ -1,32 +1,32 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import numpy as np -import pytest - -from pandapower.run import runpp -from pandapower.networks.power_system_test_cases import case30 -from pandapower.estimation import StateEstimation -from pandapower.estimation.util import add_virtual_meas_from_loadflow - - -def test_recycle_case30(): - net = case30() - runpp(net) - add_virtual_meas_from_loadflow(net) - se = StateEstimation(net, recycle=True) - se.estimate() - assert np.allclose(net.res_bus.vm_pu, net.res_bus_est.vm_pu, atol=1e-5) - assert np.allclose(net.res_bus.va_degree, net.res_bus_est.va_degree, atol=1e-5) - - # Run SE again - net.load.p_mw -= 10 - runpp(net) - net.measurement.drop(net.measurement.index, inplace=True) - add_virtual_meas_from_loadflow(net) - assert se.estimate() - assert np.allclose(net.res_bus.vm_pu, net.res_bus_est.vm_pu, atol=1e-5) - assert np.allclose(net.res_bus.va_degree, net.res_bus_est.va_degree, atol=1e-5) - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import numpy as np +import pytest + +from pandapower.run import runpp +from pandapower.networks.power_system_test_cases import case30 +from pandapower.estimation import StateEstimation +from pandapower.estimation.util import add_virtual_meas_from_loadflow + + +def test_recycle_case30(): + net = case30() + runpp(net) + add_virtual_meas_from_loadflow(net) + se = StateEstimation(net, recycle=True) + se.estimate() + assert np.allclose(net.res_bus.vm_pu, net.res_bus_est.vm_pu, atol=1e-5) + assert np.allclose(net.res_bus.va_degree, net.res_bus_est.va_degree, atol=1e-5) + + # Run SE again + net.load.p_mw -= 10 + runpp(net) + net.measurement.drop(net.measurement.index, inplace=True) + add_virtual_meas_from_loadflow(net) + assert se.estimate() + assert np.allclose(net.res_bus.vm_pu, net.res_bus_est.vm_pu, atol=1e-5) + assert np.allclose(net.res_bus.va_degree, net.res_bus_est.va_degree, atol=1e-5) + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/estimation/test_wls_estimation.py b/test/estimation/test_wls_estimation.py similarity index 97% rename from pandapower/test/estimation/test_wls_estimation.py rename to test/estimation/test_wls_estimation.py index 2289ab42e6..7315ce998a 100644 --- a/pandapower/test/estimation/test_wls_estimation.py +++ b/test/estimation/test_wls_estimation.py @@ -1,941 +1,943 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import logging -import os -from copy import deepcopy - -import numpy as np -import pytest - -from pandapower import pp_dir -from pandapower.create import ( - create_bus, create_ext_grid, create_line_from_parameters, create_measurement, create_load, create_transformer, - create_line, create_sgen, create_transformer3w, create_switch -) -from pandapower.estimation import chi2_analysis, remove_bad_data, estimate -from pandapower.file_io import from_json -from pandapower.network import pandapowerNet -from pandapower.networks.cigre_networks import create_cigre_network_mv -from pandapower.networks.power_system_test_cases import case9 -from pandapower.run import runpp -from pandapower.std_types import create_std_type - - -def test_2bus(): - # 1. Create network - net = pandapowerNet(name="test_2bus") - create_bus(net, name="bus1", vn_kv=1.) - create_bus(net, name="bus2", vn_kv=1.) - create_ext_grid(net, 0) - create_line_from_parameters(net, 0, 1, 1, r_ohm_per_km=1, x_ohm_per_km=0.5, - c_nf_per_km=0, max_i_ka=1) - - create_measurement(net, "p", "line", 0.0111, 0.05, 0, "from") # p12 - create_measurement(net, "q", "line", 0.06, 0.05, 0, "from") # q12 - - create_measurement(net, "v", "bus", 1.019, 0.01, 0) # u1 - create_measurement(net, "v", "bus", 1.04, 0.01, 1) # u2 - - # 2. Do state estimation - if not estimate(net, init='flat'): - raise AssertionError("Estimation failed!") - - v_result = net.res_bus_est.vm_pu.values - delta_result = net.res_bus_est.va_degree.values - - target_v = np.array([[1.02083378, 1.03812899]]) - diff_v = target_v - v_result - target_delta = np.array([[0.0, 3.11356604]]) - diff_delta = target_delta - delta_result - - if np.nanmax(abs(diff_v)) >= 1e-6 or np.nanmax(abs(diff_delta)) >= 1e-6: - raise AssertionError("Estimation failed!") - - -def test_3bus(): - # 1. Create network - net = pandapowerNet(name="test_3bus") - create_bus(net, name="bus1", vn_kv=1.) - create_bus(net, name="bus2", vn_kv=1.) - create_bus(net, name="bus3", vn_kv=1.) - create_ext_grid(net, 0) - create_line_from_parameters(net, 0, 1, 1, r_ohm_per_km=0.7, x_ohm_per_km=0.2, c_nf_per_km=0, - max_i_ka=1) - create_line_from_parameters(net, 0, 2, 1, r_ohm_per_km=0.8, x_ohm_per_km=0.8, c_nf_per_km=0, - max_i_ka=1) - create_line_from_parameters(net, 1, 2, 1, r_ohm_per_km=1, x_ohm_per_km=0.6, c_nf_per_km=0, - max_i_ka=1) - - create_measurement(net, "p", "line", -0.0011, 0.01, 0, "from") # p12 - create_measurement(net, "q", "line", 0.024, 0.01, 0, "from") # q12 - - create_measurement(net, "p", "bus", -0.018, 0.01, 2) # p3 - create_measurement(net, "q", "bus", 0.1, 0.01, 2) # q3 - - create_measurement(net, "v", "bus", 1.08, 0.05, 0) # u1 - create_measurement(net, "v", "bus", 1.015, 0.05, 2) # u3 - - # 2. Do state estimation - if not estimate(net, init='flat'): - raise AssertionError("Estimation failed!") - v_result = net.res_bus_est.vm_pu.values - delta_result = net.res_bus_est.va_degree.values - - target_v = np.array([1.0627, 1.0589, 1.0317]) - diff_v = target_v - v_result - target_delta = np.array([0., 0.8677, 3.1381]) - diff_delta = target_delta - delta_result - - if np.nanmax(abs(diff_v)) >= 1e-4 or np.nanmax(abs(diff_delta)) >= 1e-4: - raise AssertionError("Estimation failed!") - - # Backwards check. Use state estimation results for power flow and check for equality - net.ext_grid.vm_pu = net.res_bus_est.vm_pu.iloc[0] - create_load(net, 0, net.res_bus_est.p_mw.iloc[0], net.res_bus_est.q_mvar.iloc[0]) - create_load(net, 1, net.res_bus_est.p_mw.iloc[1], net.res_bus_est.q_mvar.iloc[1]) - create_load(net, 2, net.res_bus_est.p_mw.iloc[2], net.res_bus_est.q_mvar.iloc[2]) - _compare_pf_and_se_results(net) - - -def test_3bus_with_bad_data(): - net = pandapowerNet(name="test_3bus_with_bad_data") - create_bus(net, name="bus1", vn_kv=1.) - create_bus(net, name="bus2", vn_kv=1.) - create_bus(net, name="bus3", vn_kv=1.) - create_ext_grid(net, 0) - create_line_from_parameters(net, 0, 1, 1, r_ohm_per_km=0.7, x_ohm_per_km=0.2, c_nf_per_km=0, - max_i_ka=1) - create_line_from_parameters(net, 0, 2, 1, r_ohm_per_km=0.8, x_ohm_per_km=0.8, c_nf_per_km=0, - max_i_ka=1) - create_line_from_parameters(net, 1, 2, 1, r_ohm_per_km=1, x_ohm_per_km=0.6, c_nf_per_km=0, - max_i_ka=1) - - create_measurement(net, "p", "line", -0.0011, 0.01, 0, "from") # p12 - create_measurement(net, "q", "line", 0.024, 0.01, 0, "from") # q12 - - create_measurement(net, "p", "bus", -0.018, 0.01, 2) # p3 - create_measurement(net, "q", "bus", 0.1, 0.01, 2) # q3 - - create_measurement(net, "v", "bus", 1.08, 0.05, 0) # u1 - create_measurement(net, "v", "bus", 1.015, 0.05, 2) # u3 - - # 0. Do chi2-test for corret data - assert not chi2_analysis(net, init='flat') - - # 1. Create false voltage measurement for testing bad data detection (-> should be removed) - create_measurement(net, "v", "bus", 1.3, 0.01, 1) # V at bus 2 - - # 2. Do chi2-test - bad_data_detected = chi2_analysis(net, init='flat') - - # 3. Perform rn_max_test - success_rn_max = remove_bad_data(net, init='flat') - v_est_rn_max = net.res_bus_est.vm_pu.values - delta_est_rn_max = net.res_bus_est.va_degree.values - - target_v = np.array([1.0627, 1.0589, 1.0317]) - diff_v = target_v - v_est_rn_max - target_delta = np.array([0., 0.8677, 3.1381]) - diff_delta = target_delta - delta_est_rn_max - - assert bad_data_detected - assert success_rn_max - if np.nanmax(abs(diff_v)) >= 1e-4 or np.nanmax(abs(diff_delta)) >= 1e-4: - raise AssertionError("Estimation failed!") - - -def test_3bus_with_out_of_service_bus(): - # Test case from book "Power System State Estimation", A. Abur, A. G. Exposito, p. 20ff. - # S_ref = 1 MVA (PP standard) - # V_ref = 1 kV - # Z_ref = 1 Ohm - - # The example only had per unit values, but pandapower expects kV, MVA, kW, kVar - # Measurements should be in kW/kVar/A - Voltage in p.u. - - # 1. Create network - net = pandapowerNet(name="test_3bus_with_out_of_service_bus") - create_bus(net, name="bus1", vn_kv=1.) - create_bus(net, name="bus2", vn_kv=1.) - create_bus(net, name="bus3", vn_kv=1.) - create_bus(net, name="bus4", vn_kv=1., in_service=False) # out-of-service bus test - create_ext_grid(net, 0) - create_line_from_parameters(net, 0, 1, 1, r_ohm_per_km=.01, x_ohm_per_km=.03, c_nf_per_km=0., - max_i_ka=1) - create_line_from_parameters(net, 0, 2, 1, r_ohm_per_km=.02, x_ohm_per_km=.05, c_nf_per_km=0., - max_i_ka=1) - create_line_from_parameters(net, 1, 2, 1, r_ohm_per_km=.03, x_ohm_per_km=.08, c_nf_per_km=0., - max_i_ka=1) - - create_measurement(net, "v", "bus", 1.006, .004, 0) # V at bus 1 - create_measurement(net, "v", "bus", .968, .004, 1) # V at bus 2 - - create_measurement(net, "p", "bus", .501, .010, 1) # P at bus 2 - create_measurement(net, "q", "bus", .286, .010, 1) # Q at bus 2 - - create_measurement(net, "p", "line", .888, .008, 0, "from") # Pline (bus 1 -> bus 2) at bus 1 - create_measurement(net, "p", "line", 1.173, .008, 1, "from") # Pline (bus 1 -> bus 3) at bus 1 - create_measurement(net, "q", "line", .568, .008, 0, "from") # Qline (bus 1 -> bus 2) at bus 1 - create_measurement(net, "q", "line", .663, .008, 1, "from") # Qline (bus 1 -> bus 3) at bus 1 - - # 2. Do state estimation - if not estimate(net, init='flat'): - raise AssertionError("Estimation failed!") - - v_result = net.res_bus_est.vm_pu.values - delta_result = net.res_bus_est.va_degree.values - - target_v = np.array([[0.9996, 0.9741, 0.9438, np.nan]]) - diff_v = target_v - v_result - target_delta = np.array([[0., -1.2475, -2.7457, np.nan]]) - diff_delta = target_delta - delta_result - - if np.nanmax(abs(diff_v)) >= 1e-4 or np.nanmax(abs(diff_delta)) >= 1e-4: - raise AssertionError("Estimation failed!") - - -def test_3bus_with_transformer(): - np.random.seed(12) - - # 1. Create network - net = pandapowerNet(name="test_3bus_with_transformer") - create_bus(net, name="bus1", vn_kv=10.) - create_bus(net, name="bus2", vn_kv=10.) - create_bus(net, name="bus3", vn_kv=10.) - create_bus(net, name="bus4", vn_kv=110.) - create_ext_grid(net, bus=3, vm_pu=1.01) - create_line_from_parameters(net, 0, 1, 1, r_ohm_per_km=.01, x_ohm_per_km=.03, c_nf_per_km=0., - max_i_ka=1) - create_line_from_parameters(net, 0, 2, 1, r_ohm_per_km=.02, x_ohm_per_km=.05, c_nf_per_km=0., - max_i_ka=1) - create_line_from_parameters(net, 1, 2, 1, r_ohm_per_km=.03, x_ohm_per_km=.08, c_nf_per_km=0., - max_i_ka=1) - - create_std_type(net, {"sn_mva": 25, "vn_hv_kv": 110, "vn_lv_kv": 10, "vk_percent": 10.04, - "vkr_percent": 0.276, "pfe_kw": 28.51, "i0_percent": 0.073, "shift_degree": 150, - "tap_side": "hv", "tap_neutral": 0, "tap_min": -9, "tap_max": 9, "tap_step_degree": 0, - "tap_step_percent": 1.5, "tap_changer_type": "Ratio"}, - "25 MVA 110/10 kV v1.4.3 and older", element="trafo") - create_transformer(net, 3, 0, std_type="25 MVA 110/10 kV v1.4.3 and older") - - create_load(net, bus=1, p_mw=0.45, q_mvar=0.3) - create_load(net, bus=2, p_mw=0.35, q_mvar=0.2) - - runpp(net, calculate_voltage_angles=True) - - create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[0], .004), .004, element=0) - create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[1], .004), .004, element=1) - create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[3], .004), .004, element=3) - - create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[1], .01), .01, element=1) - create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[1], .01), .01, element=1) - - create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[2], .01), .010, element=2) - create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[2], .01), .01, element=2) - - create_measurement(net, "p", "bus", 0., 0.001, element=0) - create_measurement(net, "q", "bus", 0., 0.001, element=0) - - create_measurement(net, "p", "line", r2(net.res_line.p_from_mw.iloc[0], .008), .008, 0, "from") - create_measurement(net, "p", "line", r2(net.res_line.p_from_mw.iloc[1], .008), .008, 1, "from") - - create_measurement(net, "p", "trafo", r2(net.res_trafo.p_hv_mw.iloc[0], .01), .01, - side="hv", element=0) # transformer meas. - create_measurement(net, "q", "trafo", r2(net.res_trafo.q_hv_mvar.iloc[0], .01), .01, - side="hv", element=0) # at hv side - - # 2. Do state estimation - if not estimate(net, init='slack', tolerance=1e-6, maximum_iterations=10): - raise AssertionError("Estimation failed!") - v_result = net.res_bus_est.vm_pu.values - delta_result = net.res_bus_est.va_degree.values - - diff_v = net.res_bus.vm_pu.values - v_result - diff_delta = net.res_bus.va_degree.values - delta_result - - if np.nanmax(abs(diff_v)) >= 6e-4 or np.nanmax(abs(diff_delta)) >= 8e-4: - raise AssertionError("Estimation failed!") - - # Backwards check. Use state estimation results for power flow and check for equality - net.load = net.load.drop(net.load.index) - net.ext_grid.vm_pu = net.res_bus_est.vm_pu.iloc[net.ext_grid.bus.iloc[0]] - create_load(net, 0, net.res_bus_est.p_mw.iloc[0], net.res_bus_est.q_mvar.iloc[0]) - create_load(net, 1, net.res_bus_est.p_mw.iloc[1], net.res_bus_est.q_mvar.iloc[1]) - create_load(net, 2, net.res_bus_est.p_mw.iloc[2], net.res_bus_est.q_mvar.iloc[2]) - - _compare_pf_and_se_results(net) - - -def test_3bus_with_2_slacks(): - # load the net which already contains 3 buses - net = load_3bus_network() - # add the same net with different slack (no galvanic connection) - # skip bus index 4 as further stability test - create_bus(net, name="bus5", vn_kv=1., index=5) - create_bus(net, name="bus6", vn_kv=1., index=6) - create_bus(net, name="bus7", vn_kv=1., index=7) - create_ext_grid(net, 5) - create_line_from_parameters(net, 5, 6, 1, r_ohm_per_km=.01, x_ohm_per_km=.03, c_nf_per_km=0., - max_i_ka=1) - create_line_from_parameters(net, 5, 7, 1, r_ohm_per_km=.02, x_ohm_per_km=.05, c_nf_per_km=0., - max_i_ka=1) - create_line_from_parameters(net, 6, 7, 1, r_ohm_per_km=.03, x_ohm_per_km=.08, c_nf_per_km=0., - max_i_ka=1) - - create_measurement(net, "v", "bus", 1.006, .004, element=5) # V at bus 5 - create_measurement(net, "v", "bus", .968, .004, element=6) # V at bus 6 - - create_measurement(net, "p", "bus", .501, .010, element=6) # P at bus 6 - create_measurement(net, "q", "bus", .286, .010, element=6) # Q at bus 6 - - create_measurement(net, "p", "line", .888, .008, 3, "from") # Pline (bus 5 -> bus 6) at bus 5 - create_measurement(net, "p", "line", 1.173, .008, 4, "from") # Pline (bus 5 -> bus 7) at bus 5 - create_measurement(net, "q", "line", .568, .008, 3, "from") # Qline (bus 5 -> bus 6) at bus 5 - create_measurement(net, "q", "line", .663, .008, 4, "from") # Qline (bus 5 -> bus 7) at bus 5 - - # 2. Do state estimation - if not estimate(net, init='flat', maximum_iterations=10): - raise AssertionError("Estimation failed!") - v_result = net.res_bus_est.vm_pu.values - delta_result = net.res_bus_est.va_degree.values - - target_v = np.array([0.9996, 0.9741, 0.9438, np.nan, 0.9996, 0.9741, 0.9438]) - target_delta = np.array([0.0, -1.2475469989322963, -2.7457167371166862, np.nan, 0.0, - -1.2475469989322963, -2.7457167371166862]) - - if not np.allclose(v_result, target_v, atol=1e-4, equal_nan=True) or \ - not np.allclose(delta_result, target_delta, atol=1e-4, equal_nan=True): - raise AssertionError("Estimation failed!") - - -def test_3bus_with_i_line_measurements(): - np.random.seed(1) - net = load_3bus_network() - net.measurement = net.measurement.drop(net.measurement.index) - create_load(net, 1, p_mw=0.495974966, q_mvar=0.297749528) - create_load(net, 2, p_mw=1.514220983, q_mvar=0.787528929) - runpp(net) - create_measurement(net, "v", "bus", net.res_bus.vm_pu[0] * r(0.01), 0.01, 0) - create_measurement(net, "v", "bus", net.res_bus.vm_pu[2] * r(0.01), 0.01, 1) - create_measurement(net, "p", "bus", net.res_bus.p_mw[0] * r(), - max(1.0e-3, abs(0.03 * net.res_bus.p_mw[0])), 0) - create_measurement(net, "q", "bus", net.res_bus.q_mvar[0] * r(), - max(1.0e-3, abs(0.03 * net.res_bus.q_mvar[0])), 0) - create_measurement(net, "p", "bus", net.res_bus.p_mw[2] * r(), - max(1.0e-3, abs(0.03 * net.res_bus.p_mw[2])), 2) - create_measurement(net, "q", "bus", net.res_bus.q_mvar[2] * r(), - max(1.0e-3, abs(0.03 * net.res_bus.q_mvar[2])), 2) - create_measurement(net, "p", "line", net.res_line.p_from_mw[0] * r(), - max(1.0e-3, abs(0.03 * net.res_line.p_from_mw[0])), element=0, side="from") - create_measurement(net, "q", "line", net.res_line.q_from_mvar[0] * r(), - max(1.0e-3, abs(0.03 * net.res_line.q_from_mvar[0])), element=0, side="from") - create_measurement(net, "i", "line", net.res_line.i_from_ka[0] * 1e3 * r(), - max(1.0, abs(30 * net.res_line.i_from_ka[0])), element=0, side="from") - create_measurement(net, "i", "line", net.res_line.i_from_ka[1] * 1e3 * r(), - max(1.0, abs(30 * net.res_line.i_from_ka[1])), element=1, side="from") - - if not estimate(net, init='flat'): - raise AssertionError("Estimation failed!") - - assert (np.nanmax(abs(net.res_bus_est.vm_pu.values - net.res_bus.vm_pu.values)) < 0.045) - assert (np.nanmax(abs(net.res_bus_est.va_degree.values - net.res_bus.va_degree.values)) < 0.9) - - -def test_3bus_with_pq_line_from_to_measurements(): - np.random.seed(2017) - net = load_3bus_network() - net.measurement = net.measurement.drop(net.measurement.index) - create_load(net, 1, p_mw=0.495974966, q_mvar=0.297749528) - create_load(net, 2, p_mw=1.514220983, q_mvar=0.787528929) - runpp(net) - create_measurement(net, "v", "bus", net.res_bus.vm_pu[0] * r(0.01), 0.01, 0) - create_measurement(net, "v", "bus", net.res_bus.vm_pu[2] * r(0.01), 0.01, 1) - create_measurement(net, "p", "bus", net.res_bus.p_mw[0] * r(), - max(1.0e-3, abs(0.03 * net.res_bus.p_mw[0])), 0) - create_measurement(net, "q", "bus", net.res_bus.q_mvar[0] * r(), - max(1.0e-3, abs(0.03 * net.res_bus.q_mvar[0])), 0) - create_measurement(net, "p", "bus", net.res_bus.p_mw[2] * r(), - max(1.0e-3, abs(0.03 * net.res_bus.p_mw[2])), 2) - create_measurement(net, "q", "bus", net.res_bus.q_mvar[2] * r(), - max(1.0e-3, abs(0.03 * net.res_bus.q_mvar[2])), 2) - create_measurement(net, "p", "line", net.res_line.p_from_mw[0] * r(), - max(1.0e-3, abs(0.03 * net.res_line.p_from_mw[0])), element=0, side="from") - create_measurement(net, "q", "line", net.res_line.q_from_mvar[0] * r(), - max(1.0e-3, abs(0.03 * net.res_line.q_from_mvar[0])), element=0, side="from") - create_measurement(net, "p", "line", net.res_line.p_to_mw[0] * r(), - max(1.0e-3, abs(0.03 * net.res_line.p_to_mw[0])), element=0, side="to") - create_measurement(net, "q", "line", net.res_line.q_to_mvar[0] * r(), - max(1.0e-3, abs(0.03 * net.res_line.q_to_mvar[0])), element=0, side="to") - - if not estimate(net, init='flat'): - raise AssertionError("Estimation failed!") - - assert (np.nanmax(abs(net.res_bus_est.vm_pu.values - net.res_bus.vm_pu.values)) < 0.023) - assert (np.nanmax(abs(net.res_bus_est.va_degree.values - net.res_bus.va_degree.values)) < 0.12) - - -def test_3bus_with_side_names(): - np.random.seed(2017) - net = load_3bus_network() - net.measurement = net.measurement.drop(net.measurement.index) - create_load(net, 1, p_mw=0.495974966, q_mvar=0.297749528) - create_load(net, 2, p_mw=1.514220983, q_mvar=0.787528929) - runpp(net) - create_measurement(net, "v", "bus", net.res_bus.vm_pu[0] * r(0.01), 0.01, 0) - create_measurement(net, "v", "bus", net.res_bus.vm_pu[2] * r(0.01), 0.01, 1) - create_measurement(net, "p", "bus", net.res_bus.p_mw[0] * r(), - max(1.0e-3, abs(0.03 * net.res_bus.p_mw[0])), 0) - create_measurement(net, "q", "bus", net.res_bus.q_mvar[0] * r(), - max(1.0e-3, abs(0.03 * net.res_bus.q_mvar[0])), 0) - create_measurement(net, "p", "bus", net.res_bus.p_mw[2] * r(), - max(1.0e-3, abs(0.03 * net.res_bus.p_mw[2])), 2) - create_measurement(net, "q", "bus", net.res_bus.q_mvar[2] * r(), - max(1.0e-3, abs(0.03 * net.res_bus.q_mvar[2])), 2) - create_measurement(net, "p", "line", net.res_line.p_from_mw[0] * r(), - max(1.0e-3, abs(0.03 * net.res_line.p_from_mw[0])), element=0, side="from") - create_measurement(net, "q", "line", net.res_line.q_from_mvar[0] * r(), - max(1.0e-3, abs(0.03 * net.res_line.q_from_mvar[0])), element=0, side="from") - create_measurement(net, "p", "line", net.res_line.p_to_mw[0] * r(), - max(1.0e-3, abs(0.03 * net.res_line.p_to_mw[0])), element=0, side="to") - create_measurement(net, "q", "line", net.res_line.q_to_mvar[0] * r(), - max(1.0e-3, abs(0.03 * net.res_line.q_to_mvar[0])), element=0, side="to") - - if not estimate(net, init='flat'): - raise AssertionError("Estimation failed!") - - assert (np.nanmax(abs(net.res_bus_est.vm_pu.values - net.res_bus.vm_pu.values)) < 0.023) - assert (np.nanmax(abs(net.res_bus_est.va_degree.values - net.res_bus.va_degree.values)) < 0.12) - - -def test_cigre_network(init='flat'): - # 1. create network - # test the mv ring network with all available voltage measurements and bus powers - # test if switches and transformer will work correctly with the state estimation - np.random.seed(123456) - net = create_cigre_network_mv(with_der=False) - runpp(net) - - for bus, row in net.res_bus.iterrows(): - create_measurement(net, "v", "bus", row.vm_pu * r(0.01), 0.01, bus) - # if np.random.randint(0, 4) == 0: - # continue - create_measurement(net, "p", "bus", row.p_mw * r(), max(0.001, abs(0.03 * row.p_mw)), - bus) - create_measurement(net, "q", "bus", row.q_mvar * r(), max(0.001, abs(0.03 * row.q_mvar)), - bus) - - # 2. Do state estimation - if not estimate(net, init="flat"): - raise AssertionError("Estimation failed!") - - v_result = net.res_bus_est.vm_pu.values - delta_result = net.res_bus_est.va_degree.values - - target_v = net.res_bus.vm_pu.values - diff_v = target_v - v_result - target_delta = net.res_bus.va_degree.values - diff_delta = target_delta - delta_result - - assert (np.nanmax(abs(diff_v)) < 0.0043) - assert (np.nanmax(abs(diff_delta)) < 0.2) - - -def test_cigre_network_with_slack_init(): - test_cigre_network(init='slack') - - -def test_cigre_with_bad_data(): - net = create_cigre_network_mv(with_der=False) - net.load.q_mvar = net.load["p_mw"].apply(lambda p: p * np.tan(np.arccos(0.9))) - runpp(net) - - for bus, row in net.res_bus.iterrows(): - if bus != 6: - create_measurement(net, "v", "bus", row.vm_pu * r(0.005), 0.005, bus) # skip our bad data measurement - create_measurement(net, "p", "bus", row.p_mw * r(), max(0.03, abs(0.03 * row.p_mw)), bus) - create_measurement(net, "q", "bus", row.q_mvar * r(), max(0.03, abs(0.03 * row.q_mvar)), bus) - - # 2. Do state estimation - success_SE = estimate(net, init='slack') - v_est_SE = net.res_bus_est.vm_pu.values - delta_SE = net.res_bus_est.va_degree.values - - # 3. Create false measurement (very close to useful values) - create_measurement(net, "v", "bus", 0.85, 0.005, element=6) - - # 4. Do chi2-test - bad_data_detected = chi2_analysis(net, init='slack') - assert bad_data_detected - - # 5. Perform rn_max_test - success_rn_max = remove_bad_data(net, init='slack', rn_max_threshold=4.0) - v_est_rn_max = net.res_bus_est.vm_pu.values - delta_est_rn_max = net.res_bus_est.va_degree.values - - diff_v = v_est_SE - v_est_rn_max - diff_delta = delta_SE - delta_est_rn_max - - assert success_SE - assert bad_data_detected - assert success_rn_max - assert (np.nanmax(abs(diff_v)) < 1e-8) - assert (np.nanmax(abs(diff_delta)) < 1e-8) - - -def test_init_slack_with_multiple_transformers(): - np.random.seed(123) - net = pandapowerNet(name="test_init_slack_with_multiple_transformers") - create_bus(net, 220, index=0) - create_bus(net, 110, index=1) - create_bus(net, 110, index=2) - create_bus(net, 110, index=3) - create_bus(net, 10, index=4) - create_bus(net, 10, index=5) - create_bus(net, 10, index=6) - create_bus(net, 10, index=7, in_service=False) - create_std_type(net, {"sn_mva": 63, "vn_hv_kv": 110, "vn_lv_kv": 10, "vk_percent": 10.04, - "vkr_percent": 0.31, "pfe_kw": 31.51, "i0_percent": 0.078, "shift_degree": 150, - "tap_side": "hv", "tap_neutral": 0, "tap_min": -9, "tap_max": 9, "tap_step_degree": 0, - "tap_step_percent": 1.5, "tap_changer_type": "Ratio"}, - "63 MVA 110/10 kV v1.4.3 and older", element="trafo") - - create_transformer(net, 3, 7, std_type="63 MVA 110/10 kV v1.4.3 and older", in_service=False) - create_transformer(net, 3, 4, std_type="63 MVA 110/10 kV v1.4.3 and older") - create_transformer(net, 0, 1, std_type="100 MVA 220/110 kV") - create_line(net, 1, 2, 2.0, std_type="N2XS(FL)2Y 1x120 RM/35 64/110 kV") - create_line(net, 1, 3, 2.0, std_type="N2XS(FL)2Y 1x120 RM/35 64/110 kV") - create_line(net, 4, 5, 2.0, std_type="NA2XS2Y 1x95 RM/25 12/20 kV") - create_line(net, 5, 6, 2.0, std_type="NA2XS2Y 1x95 RM/25 12/20 kV") - create_load(net, 2, p_mw=5, q_mvar=3.3) - create_load(net, 5, p_mw=0.9, q_mvar=0.5) - create_load(net, bus=6, p_mw=0.7, q_mvar=0.3) - create_ext_grid(net, bus=0, vm_pu=1.04, va_degree=10., name="Slack 220 kV") - runpp(net, calculate_voltage_angles=True) - for bus, row in net.res_bus[net.bus.in_service].iterrows(): - create_measurement(net, "v", "bus", row.vm_pu * r(0.01), 0.01, bus) - if not np.isclose(row.p_mw, 0.0): - continue - create_measurement(net, "p", "bus", row.p_mw * r(), max(0.001, abs(0.03 * row.p_mw)), - bus) - create_measurement(net, "q", "bus", row.q_mvar * r(), max(.0001, abs(0.03 * row.q_mvar)), - bus) - create_measurement(net, "p", "line", net.res_line.p_from_mw[0], .01, side="from", element=0) - create_measurement(net, "q", "line", net.res_line.q_from_mvar[0], 0.01, side="from", element=0) - create_measurement(net, "p", "line", net.res_line.p_from_mw[2], .01, side="from", element=2) - create_measurement(net, "q", "line", net.res_line.q_from_mvar[2], .01, side="from", element=2) - create_measurement(net, "p", "line", net.res_line.p_from_mw[3], .01, side="from", element=3) - create_measurement(net, "q", "line", net.res_line.q_from_mvar[3], 0.01, side="from", element=3) - success = estimate(net, init='slack', tolerance=1e-9) - - # pretty high error for vm_pu (half percent!) - assert success - assert (np.nanmax(np.abs(net.res_bus.vm_pu.values - net.res_bus_est.vm_pu.values)) < 0.006) - assert (np.nanmax(np.abs(net.res_bus.va_degree.values - net.res_bus_est.va_degree.values)) < 0.006) - - -def test_check_existing_measurements(): - np.random.seed(2017) - net = pandapowerNet(name="test_check_existing_measurements") - create_bus(net, 10.) - create_bus(net, 10.) - create_line(net, 0, 1, 0.5, std_type="149-AL1/24-ST1A 10.0") - m1 = create_measurement(net, "v", "bus", 1.006, .004, 0) - m2 = create_measurement(net, "v", "bus", 1.006, .004, 0) - - # assert m1 == m2 - assert len(net.measurement) == 2 - m3 = create_measurement(net, "v", "bus", 1.006, .004, 0, check_existing=False) - # assert m3 != m2 - assert len(net.measurement) == 3 - - m4 = create_measurement(net, "p", "line", -0.0011, 0.01, side="from", element=0, - check_existing=True) - m5 = create_measurement(net, "p", "line", -0.0011, 0.01, side="from", element=0, - check_existing=True) - assert m4 == m5 - - m6 = create_measurement(net, "p", "line", -0.0011, 0.01, side="from", element=0, - check_existing=False) - assert m5 != m6 - assert len(net.measurement) == 5 - - -def load_3bus_network(): - return from_json(os.path.join(pp_dir, "test", "estimation", "3bus_wls.json")) - - -def test_network_with_trafo3w_pq(): - net = pandapowerNet(name="test_network_with_trafo3w_pq") - - bus_slack = create_bus(net, vn_kv=110) - create_ext_grid(net, bus=bus_slack) - - bus_20_1 = create_bus(net, vn_kv=20, name="b") - create_sgen(net, bus=bus_20_1, p_mw=0.03, q_mvar=0.02) - - bus_10_1 = create_bus(net, vn_kv=10) - create_sgen(net, bus=bus_10_1, p_mw=0.02, q_mvar=0.02) - - bus_10_2 = create_bus(net, vn_kv=10) - create_load(net, bus=bus_10_2, p_mw=0.06, q_mvar=0.01) - create_line(net, from_bus=bus_10_1, to_bus=bus_10_2, std_type="149-AL1/24-ST1A 10.0", length_km=2) - - create_transformer3w(net, bus_slack, bus_20_1, bus_10_1, std_type="63/25/38 MVA 110/20/10 kV") - - runpp(net) - - create_measurement(net, "p", "line", net.res_line.p_from_mw[0], 0.001, 0, 'from') - create_measurement(net, "q", "line", net.res_line.q_from_mvar[0], 0.001, 0, 'from') - create_measurement(net, "p", "line", net.res_line.p_to_mw[0], 0.001, 0, 'to') - create_measurement(net, "q", "line", net.res_line.q_to_mvar[0], 0.001, 0, 'to') - - create_measurement(net, "p", "trafo3w", net.res_trafo3w.p_hv_mw[0], 0.001, 0, 'hv') - create_measurement(net, "q", "trafo3w", net.res_trafo3w.q_hv_mvar[0], 0.001, 0, 'hv') - create_measurement(net, "p", "trafo3w", net.res_trafo3w.p_mv_mw[0], 0.002, 0, 'mv') - create_measurement(net, "q", "trafo3w", net.res_trafo3w.q_mv_mvar[0], 0.002, 0, 'mv') - create_measurement(net, "p", "trafo3w", net.res_trafo3w.p_lv_mw[0], 0.001, 0, 'lv') - create_measurement(net, "q", "trafo3w", net.res_trafo3w.q_lv_mvar[0], 0.001, 0, 'lv') - - create_measurement(net, "v", "bus", net.res_bus.vm_pu[0], 0.01, 0) - create_measurement(net, "v", "bus", net.res_bus.vm_pu[1], 0.01, 1) - - if not estimate(net): - raise AssertionError("Estimation failed!") - - if np.nanmax(np.abs(net.res_bus.vm_pu.values - net.res_bus_est.vm_pu.values)) >= 0.006 or \ - np.nanmax(np.abs(net.res_bus.va_degree.values - net.res_bus_est.va_degree.values)) >= 0.006: - raise AssertionError("Estimation failed") - - # Try estimate with results initialization - if not estimate(net, init="results"): - raise AssertionError("Estimation failed!") - - -def test_network_with_trafo3w_with_disabled_branch(): - net = pandapowerNet(name="test_network_with_trafo3w_with_disabled_branch") - - bus_slack = create_bus(net, vn_kv=110) - create_ext_grid(net, bus=bus_slack) - - bus_20_1 = create_bus(net, vn_kv=20, name="b") - create_sgen(net, bus=bus_20_1, p_mw=0.03, q_mvar=0.02) - - bus_10_1 = create_bus(net, vn_kv=10) - create_sgen(net, bus=bus_10_1, p_mw=0.02, q_mvar=0.02) - - bus_10_2 = create_bus(net, vn_kv=10) - create_load(net, bus=bus_10_2, p_mw=0.06, q_mvar=0.01) - create_line(net, from_bus=bus_10_1, to_bus=bus_10_2, std_type="149-AL1/24-ST1A 10.0", length_km=2) - disabled_line = create_line(net, from_bus=bus_10_1, to_bus=bus_10_2, std_type="149-AL1/24-ST1A 10.0", length_km=2) - net.line.at[disabled_line, 'in_service'] = False - - create_transformer3w(net, bus_slack, bus_20_1, bus_10_1, std_type="63/25/38 MVA 110/20/10 kV") - - runpp(net) - - create_measurement(net, "p", "line", net.res_line.p_from_mw[0], 0.001, 0, 'from') - create_measurement(net, "q", "line", net.res_line.q_from_mvar[0], 0.001, 0, 'from') - create_measurement(net, "p", "line", net.res_line.p_to_mw[0], 0.001, 0, 'to') - create_measurement(net, "q", "line", net.res_line.q_to_mvar[0], 0.001, 0, 'to') - create_measurement(net, "p", "line", net.res_line.p_to_mw[1], 0.001, 1, 'to') - create_measurement(net, "q", "line", net.res_line.q_to_mvar[1], 0.001, 1, 'to') - - create_measurement(net, "p", "trafo3w", net.res_trafo3w.p_hv_mw[0], 0.001, 0, 'hv') - create_measurement(net, "q", "trafo3w", net.res_trafo3w.q_hv_mvar[0], 0.001, 0, 'hv') - create_measurement(net, "p", "trafo3w", net.res_trafo3w.p_mv_mw[0], 0.002, 0, 'mv') - create_measurement(net, "q", "trafo3w", net.res_trafo3w.q_mv_mvar[0], 0.002, 0, 'mv') - create_measurement(net, "p", "trafo3w", net.res_trafo3w.p_lv_mw[0], 0.001, 0, 'lv') - create_measurement(net, "q", "trafo3w", net.res_trafo3w.q_lv_mvar[0], 0.001, 0, 'lv') - - create_measurement(net, "v", "bus", net.res_bus.vm_pu[0], 0.01, 0) - create_measurement(net, "v", "bus", net.res_bus.vm_pu[1], 0.01, 1) - - success = estimate(net) - assert success - assert (np.nanmax(np.abs(net.res_bus.vm_pu.values - net.res_bus_est.vm_pu.values)) < 0.006) - assert (np.nanmax(np.abs(net.res_bus.va_degree.values - net.res_bus_est.va_degree.values)) < 0.006) - - -def create_net_with_bb_switch(): - net = pandapowerNet(name="create_net_with_bb_switch") - bus1 = create_bus(net, name="bus1", vn_kv=10.) - bus2 = create_bus(net, name="bus2", vn_kv=10.) - bus3 = create_bus(net, name="bus3", vn_kv=10.) - bus4 = create_bus(net, name="bus4", vn_kv=10.) - bus5 = create_bus(net, name="bus5", vn_kv=110.) - - create_line_from_parameters(net, bus1, bus2, 10, r_ohm_per_km=.59, x_ohm_per_km=.35, c_nf_per_km=10.1, - max_i_ka=1) - create_transformer(net, bus5, bus1, std_type="40 MVA 110/10 kV") - create_ext_grid(net, bus=bus5, vm_pu=1.0) - create_load(net, bus1, p_mw=.350, q_mvar=.100) - create_load(net, bus2, p_mw=.450, q_mvar=.100) - create_load(net, bus3, p_mw=.250, q_mvar=.100) - create_load(net, bus4, p_mw=.150, q_mvar=.100) - - # Created bb switch - create_switch(net, bus2, element=bus3, et='b') - create_switch(net, bus1, element=bus4, et='b') - runpp(net, calculate_voltage_angles=True) - - create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus1], .002), .002, element=bus1) - create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus3], .002), .002, element=bus3) - create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus5], .002), .002, element=bus5) - - create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus5], .002), .002, element=bus5) - create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus5], .002), .002, element=bus5) - - # If measurement on the bus with bb-switch activated, it will incluence the results of the merged bus - create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus4], .002), .002, element=bus4) - create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus4], .002), .002, element=bus4) - create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus3], .001), .001, element=bus3) - create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus3], .001), .001, element=bus3) - create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus2], .001), .001, element=bus2) - create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus2], .001), .001, element=bus2) - create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus1], .001), .001, element=bus1) - create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus1], .001), .001, element=bus1) - - create_measurement(net, "p", "line", r2(net.res_line.p_from_mw.iloc[0], .002), .002, 0, side='from') - create_measurement(net, "q", "line", r2(net.res_line.q_from_mvar.iloc[0], .002), .002, 0, side='from') - - create_measurement(net, "p", "trafo", r2(net.res_trafo.p_hv_mw.iloc[0], .001), .01, - side="hv", element=0) - create_measurement(net, "q", "trafo", r2(net.res_trafo.q_hv_mvar.iloc[0], .001), .01, - side="hv", element=0) - return net - - -def test_net_with_bb_switch_no_fusing(): - net = create_net_with_bb_switch() - success_none = estimate(net, tolerance=1e-5, fuse_buses_with_bb_switch=None) - runpp(net, calculate_voltage_angles=True) - assert success_none - assert np.allclose(net.res_bus.va_degree.values, net.res_bus_est.va_degree.values, 1e-2) - assert np.allclose(net.res_bus.vm_pu.values, net.res_bus_est.vm_pu.values, 1e-2) - # asserting with more tolerance since the added impedance will cause some inaccuracy - assert np.allclose(net.res_bus.p_mw.values, net.res_bus_est.p_mw.values, 1e-1) - assert np.allclose(net.res_bus.q_mvar.values, net.res_bus_est.q_mvar.values, 1e-1) - - -def test_net_with_bb_switch_fuse_one(): - net = create_net_with_bb_switch() - success = estimate(net, tolerance=1e-5, fuse_buses_with_bb_switch=[1]) - runpp(net, calculate_voltage_angles=True) - assert success - assert np.allclose(net.res_bus.va_degree.values, net.res_bus_est.va_degree.values, 1e-2) - assert np.allclose(net.res_bus.vm_pu.values, net.res_bus_est.vm_pu.values, 1e-2) - # asserting with more tolerance since the added impedance will cause some inaccuracy - assert np.allclose(net.res_bus.p_mw.values[[0, 3, 4]], net.res_bus_est.p_mw.values[[0, 3, 4]], 1e-1) - assert np.allclose(net.res_bus.q_mvar.values[[0, 3, 4]], net.res_bus_est.q_mvar.values[[0, 3, 4]], 1e-1) - - -@pytest.mark.xfail -def test_net_with_bb_switch_fuse_one_identify_pq(): - net = create_net_with_bb_switch() - estimate(net, tolerance=1e-5, fuse_buses_with_bb_switch=[1]) - # asserting with more tolerance since the added impedance will cause some inaccuracy - assert np.allclose(net.res_bus.p_mw.values, net.res_bus_est.p_mw.values, 1e-1) - assert np.allclose(net.res_bus.q_mvar.values, net.res_bus_est.q_mvar.values, 1e-1) - - -def test_net_with_bb_switch_fusing(): - net = create_net_with_bb_switch() - estimate(net, tolerance=1e-5, fuse_buses_with_bb_switch='all') - - assert np.allclose(net.res_bus.va_degree.values, net.res_bus_est.va_degree.values, 5e-2) - assert np.allclose(net.res_bus.vm_pu.values, net.res_bus_est.vm_pu.values, 5e-2) - - -def test_net_with_zero_injection(): - # @author: AndersLi - net = pandapowerNet(name="test_net_with_zero_injection") - b1 = create_bus(net, name="Bus 1", vn_kv=220, index=1) - b2 = create_bus(net, name="Bus 2", vn_kv=220, index=2) - b3 = create_bus(net, name="Bus 3", vn_kv=220, index=3) - b4 = create_bus(net, name="Bus 4", vn_kv=220, index=4) - - create_ext_grid(net, b1) # set the slack bus to bus 1 - factor = 48.4 * 2 * np.pi * 50 * 1e-9 # capacity factor - - create_line_from_parameters(net, 1, 2, 1, r_ohm_per_km=.0221 * 48.4, - x_ohm_per_km=.1603 * 48.4, c_nf_per_km=0.00274 / factor, max_i_ka=1) - create_line_from_parameters(net, 2, 3, 1, r_ohm_per_km=.0428 * 48.4, - x_ohm_per_km=.242 * 48.4, c_nf_per_km=0.00384 / factor, max_i_ka=1) - l3 = create_line_from_parameters(net, 2, 4, 1, r_ohm_per_km=.002 * 48.4, - x_ohm_per_km=.0111 * 48.4, c_nf_per_km=0.00018 / factor, max_i_ka=1) - - create_measurement(net, "v", "bus", 1.063548, .001, b1) # V at bus 1 - create_measurement(net, "v", "bus", 1.068342, .001, b3) # V at bus 3 - create_measurement(net, "v", "bus", 1.069861, .001, b4) # V at bus 4 - create_measurement(net, "p", "bus", 40.0, 1, b1) # P at bus 1 - create_measurement(net, "q", "bus", 9.2, 1, b1) # Q at bus 1 - # create_measurement(net, "p", "bus", 0, 0.01, b2) # P at bus 2 - not required anymore - # create_measurement(net, "q", "bus", 0, 0.01, b2) # Q at bus 2 - not required anymore - create_measurement(net, "p", "bus", -10.0, 1, b3) # P at bus 3 - create_measurement(net, "q", "bus", -1.0, 1, b3) # Q at bus 3 - create_measurement(net, "p", "bus", -30.0, 1, b4) # P at bus 4 - create_measurement(net, "q", "bus", 0.100, 1, b4) # Q at bus 4 - create_measurement(net, "p", "line", 30.100, 1, l3, side="to") # Pline (bus 2 -> bus 4) at bus 4 - create_measurement(net, "q", "line", -0.099, 1, l3, side="to") # Qline (bus 2 -> bus 4) at bus 4 - - estimate(net, tolerance=1e-10, zero_injection='no_inj_bus', algorithm='wls_with_zero_constraint') - assert np.abs(net.res_bus_est.at[b2, 'p_mw']) < 1e-8 - assert np.abs(net.res_bus_est.at[b2, 'q_mvar']) < 1e-8 - - net_given_bus = deepcopy(net) - success = estimate(net, tolerance=1e-6, zero_injection="no_inj_bus") - assert success - assert np.allclose(net.res_bus_est.va_degree.values, net_given_bus.res_bus_est.va_degree.values, 1e-3) - assert np.allclose(net.res_bus_est.vm_pu.values, net_given_bus.res_bus_est.vm_pu.values, 1e-3) - - -def test_zero_injection_aux_bus(): - net = pandapowerNet(name="test_zero_injection_aux_bus") - bus1 = create_bus(net, name="bus1", vn_kv=10.) - bus2 = create_bus(net, name="bus2", vn_kv=10.) - bus3 = create_bus(net, name="bus3", vn_kv=10.) - bus4 = create_bus(net, name="bus4", vn_kv=110.) - - create_line_from_parameters(net, bus1, bus2, 10, r_ohm_per_km=.59, x_ohm_per_km=.35, c_nf_per_km=10.1, - max_i_ka=1) - create_line_from_parameters(net, bus2, bus3, 10, r_ohm_per_km=.59, x_ohm_per_km=.35, c_nf_per_km=10.1, - max_i_ka=1) - create_transformer(net, bus4, bus1, std_type="40 MVA 110/10 kV") - create_ext_grid(net, bus=bus4, vm_pu=1.0) - create_load(net, bus1, p_mw=.350, q_mvar=.100) - create_load(net, bus2, p_mw=.450, q_mvar=.100) - create_load(net, bus3, p_mw=.250, q_mvar=.100) - - net.bus.at[bus3, 'in_service'] = False - - # Created bb switch - runpp(net, calculate_voltage_angles=True) - - create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus1], .002), .002, element=bus1) - create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus4], .002), .002, element=bus4) - - create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus4], .002), .002, element=bus4) - create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus4], .002), .002, element=bus4) - - # If measurement on the bus with bb-switch activated, it will incluence the results of the merged bus - create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus2], .001), .001, element=bus2) - create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus2], .001), .001, element=bus2) - create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus1], .001), .001, element=bus1) - create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus1], .001), .001, element=bus1) - - create_measurement(net, "p", "line", r2(net.res_line.p_from_mw.iloc[0], .002), .002, 0, side='from') - create_measurement(net, "q", "line", r2(net.res_line.q_from_mvar.iloc[0], .002), .002, 0, side='from') - - create_measurement(net, "p", "trafo", r2(net.res_trafo.p_hv_mw.iloc[0], .001), .01, - side="hv", element=0) - create_measurement(net, "q", "trafo", r2(net.res_trafo.q_hv_mvar.iloc[0], .001), .01, - side="hv", element=0) - - net_noinj_bus = deepcopy(net) - net_aux = deepcopy(net) - - success_none = estimate(net, tolerance=1e-5, zero_injection=None) - - # In this case zero_injection in mode "aux_bus" and "no_inj_bus" should be exact the same - success_aux = estimate(net_aux, tolerance=1e-5, zero_injection='aux_bus') - success_noinj_bus = estimate(net_noinj_bus, tolerance=1e-5, zero_injection='no_inj_bus') - assert success_none and success_aux and success_noinj_bus - assert np.allclose(net_noinj_bus.res_bus_est.va_degree.values, net_aux.res_bus_est.va_degree.values, 1e-4, - equal_nan=True) - assert np.allclose(net_noinj_bus.res_bus_est.vm_pu.values, net_aux.res_bus_est.vm_pu.values, 1e-4, equal_nan=True) - - # in case zero injection was set to none, the results should be different - assert ~np.allclose(net.res_bus_est.vm_pu.values, net_aux.res_bus_est.vm_pu.values, 1e-2, equal_nan=True) - - -@pytest.mark.xfail -def test_net_unobserved_island(): - net = pandapowerNet(name="test_net_unobserved_island") - bus1 = create_bus(net, name="bus1", vn_kv=10.) - bus2 = create_bus(net, name="bus2", vn_kv=10.) - bus3 = create_bus(net, name="bus3", vn_kv=10.) - bus4 = create_bus(net, name="bus4", vn_kv=110.) - - create_line_from_parameters(net, bus1, bus2, 10, r_ohm_per_km=.59, x_ohm_per_km=.35, c_nf_per_km=10.1, - max_i_ka=1) - create_line_from_parameters(net, bus2, bus3, 10, r_ohm_per_km=.59, x_ohm_per_km=.35, c_nf_per_km=10.1, - max_i_ka=1) - create_transformer(net, bus4, bus1, std_type="40 MVA 110/10 kV") - create_ext_grid(net, bus=bus4, vm_pu=1.0) - create_load(net, bus1, p_mw=.350, q_mvar=.100) - create_load(net, bus2, p_mw=.450, q_mvar=.100) - create_load(net, bus3, p_mw=.250, q_mvar=.100) - - # Created bb switch - runpp(net, calculate_voltage_angles=True) - - create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus1], .002), .002, element=bus1) - create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus4], .002), .002, element=bus4) - - create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus4], .002), .002, element=bus4) - create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus4], .002), .002, element=bus4) - - # IF pq of bus2 is not available makes bus3 an unobserved island - # create_measurement(net, "p", "bus", -r2(net.res_bus.p_mw.iloc[bus2], .001), .001, element=bus2) - # create_measurement(net, "q", "bus", -r2(net.res_bus.q_mvar.iloc[bus2], .001), .001, element=bus2) - create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus1], .001), .001, element=bus1) - create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus1], .001), .001, element=bus1) - - create_measurement(net, "p", "line", r2(net.res_line.p_from_mw.iloc[0], .002), .002, 0, side='from') - create_measurement(net, "q", "line", r2(net.res_line.q_from_mvar.iloc[0], .002), .002, 0, side='from') - - create_measurement(net, "p", "trafo", r2(net.res_trafo.p_hv_mw.iloc[0], .001), .01, - side="hv", element=0) - create_measurement(net, "q", "trafo", r2(net.res_trafo.q_hv_mvar.iloc[0], .001), .01, - side="hv", element=0) - - if not estimate(net, tolerance=1e-6, zero_injection=None): - raise AssertionError("Estimation failed!") - - -def test_net_oos_line(): - net = case9() - net.line.iat[4, net.line.columns.get_loc("in_service")] = False - runpp(net) - - for line_ix in net.line.index: - create_measurement(net, "p", "line", net.res_line.at[line_ix, "p_from_mw"], - 0.01, element=line_ix, side="from") - create_measurement(net, "q", "line", net.res_line.at[line_ix, "q_from_mvar"], - 0.01, element=line_ix, side="from") - - for bus_ix in net.bus.index: - create_measurement(net, "v", "bus", net.res_bus.at[bus_ix, "vm_pu"], - 0.01, element=bus_ix) - - if not estimate(net, tolerance=1e-6, zero_injection=None): - raise AssertionError("Estimation failed!") - - -def r(v=0.03): - return np.random.normal(1.0, v) - - -def r2(base, v): - return np.random.normal(base, v) - - -def _compare_pf_and_se_results(net): - runpp(net, calculate_voltage_angles=True, trafo_model="t") - assert (np.allclose(net.res_bus_est.p_mw.values, net.res_bus.p_mw.values, 1e-6)) - assert (np.allclose(net.res_bus_est.q_mvar.values, net.res_bus.q_mvar.values, 1e-6)) - assert (np.allclose(net.res_line_est.p_from_mw.values, net.res_line.p_from_mw.values, 1e-6)) - assert (np.allclose(net.res_line_est.q_from_mvar.values, net.res_line.q_from_mvar.values, 1e-6)) - assert (np.allclose(net.res_line_est.p_to_mw.values, net.res_line.p_to_mw.values, 1e-6)) - assert (np.allclose(net.res_line_est.q_to_mvar.values, net.res_line.q_to_mvar.values, 1e-6)) - if "trafo" in net and net.trafo.shape[0] > 0: - assert (np.allclose(net.res_trafo_est.p_lv_mw.values, net.res_trafo.p_lv_mw.values, 1e-6)) - assert (np.allclose(net.res_trafo_est.q_lv_mvar.values, net.res_trafo.q_lv_mvar.values, 1e-6)) - assert (np.allclose(net.res_trafo_est.p_hv_mw.values, net.res_trafo.p_hv_mw.values, 1e-6)) - assert (np.allclose(net.res_trafo_est.q_hv_mvar.values, net.res_trafo.q_hv_mvar.values, 1e-6)) - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) - +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import logging +import os +from copy import deepcopy + +import numpy as np +import pytest + +from pandapower import pp_dir +from pandapower.create import ( + create_bus, create_ext_grid, create_line_from_parameters, create_measurement, create_load, create_transformer, + create_line, create_sgen, create_transformer3w, create_switch +) +from pandapower.estimation import chi2_analysis, remove_bad_data, estimate +from pandapower.file_io import from_json +from pandapower.network import pandapowerNet +from pandapower.networks.cigre_networks import create_cigre_network_mv +from pandapower.networks.power_system_test_cases import case9 +from pandapower.run import runpp +from pandapower.std_types import create_std_type + +from test import test_path + + +def load_3bus_network(): + return from_json(os.path.join(test_path, "estimation", "3bus_wls.json")) + + +def test_2bus(): + # 1. Create network + net = pandapowerNet(name="test_2bus") + create_bus(net, name="bus1", vn_kv=1.) + create_bus(net, name="bus2", vn_kv=1.) + create_ext_grid(net, 0) + create_line_from_parameters(net, 0, 1, 1, r_ohm_per_km=1, x_ohm_per_km=0.5, + c_nf_per_km=0, max_i_ka=1) + + create_measurement(net, "p", "line", 0.0111, 0.05, 0, "from") # p12 + create_measurement(net, "q", "line", 0.06, 0.05, 0, "from") # q12 + + create_measurement(net, "v", "bus", 1.019, 0.01, 0) # u1 + create_measurement(net, "v", "bus", 1.04, 0.01, 1) # u2 + + # 2. Do state estimation + if not estimate(net, init='flat'): + raise AssertionError("Estimation failed!") + + v_result = net.res_bus_est.vm_pu.values + delta_result = net.res_bus_est.va_degree.values + + target_v = np.array([[1.02083378, 1.03812899]]) + diff_v = target_v - v_result + target_delta = np.array([[0.0, 3.11356604]]) + diff_delta = target_delta - delta_result + + if np.nanmax(abs(diff_v)) >= 1e-6 or np.nanmax(abs(diff_delta)) >= 1e-6: + raise AssertionError("Estimation failed!") + + +def test_3bus(): + # 1. Create network + net = pandapowerNet(name="test_3bus") + create_bus(net, name="bus1", vn_kv=1.) + create_bus(net, name="bus2", vn_kv=1.) + create_bus(net, name="bus3", vn_kv=1.) + create_ext_grid(net, 0) + create_line_from_parameters(net, 0, 1, 1, r_ohm_per_km=0.7, x_ohm_per_km=0.2, c_nf_per_km=0, + max_i_ka=1) + create_line_from_parameters(net, 0, 2, 1, r_ohm_per_km=0.8, x_ohm_per_km=0.8, c_nf_per_km=0, + max_i_ka=1) + create_line_from_parameters(net, 1, 2, 1, r_ohm_per_km=1, x_ohm_per_km=0.6, c_nf_per_km=0, + max_i_ka=1) + + create_measurement(net, "p", "line", -0.0011, 0.01, 0, "from") # p12 + create_measurement(net, "q", "line", 0.024, 0.01, 0, "from") # q12 + + create_measurement(net, "p", "bus", -0.018, 0.01, 2) # p3 + create_measurement(net, "q", "bus", 0.1, 0.01, 2) # q3 + + create_measurement(net, "v", "bus", 1.08, 0.05, 0) # u1 + create_measurement(net, "v", "bus", 1.015, 0.05, 2) # u3 + + # 2. Do state estimation + if not estimate(net, init='flat'): + raise AssertionError("Estimation failed!") + v_result = net.res_bus_est.vm_pu.values + delta_result = net.res_bus_est.va_degree.values + + target_v = np.array([1.0627, 1.0589, 1.0317]) + diff_v = target_v - v_result + target_delta = np.array([0., 0.8677, 3.1381]) + diff_delta = target_delta - delta_result + + if np.nanmax(abs(diff_v)) >= 1e-4 or np.nanmax(abs(diff_delta)) >= 1e-4: + raise AssertionError("Estimation failed!") + + # Backwards check. Use state estimation results for power flow and check for equality + net.ext_grid.vm_pu = net.res_bus_est.vm_pu.iloc[0] + create_load(net, 0, net.res_bus_est.p_mw.iloc[0], net.res_bus_est.q_mvar.iloc[0]) + create_load(net, 1, net.res_bus_est.p_mw.iloc[1], net.res_bus_est.q_mvar.iloc[1]) + create_load(net, 2, net.res_bus_est.p_mw.iloc[2], net.res_bus_est.q_mvar.iloc[2]) + _compare_pf_and_se_results(net) + + +def test_3bus_with_bad_data(): + net = pandapowerNet(name="test_3bus_with_bad_data") + create_bus(net, name="bus1", vn_kv=1.) + create_bus(net, name="bus2", vn_kv=1.) + create_bus(net, name="bus3", vn_kv=1.) + create_ext_grid(net, 0) + create_line_from_parameters(net, 0, 1, 1, r_ohm_per_km=0.7, x_ohm_per_km=0.2, c_nf_per_km=0, + max_i_ka=1) + create_line_from_parameters(net, 0, 2, 1, r_ohm_per_km=0.8, x_ohm_per_km=0.8, c_nf_per_km=0, + max_i_ka=1) + create_line_from_parameters(net, 1, 2, 1, r_ohm_per_km=1, x_ohm_per_km=0.6, c_nf_per_km=0, + max_i_ka=1) + + create_measurement(net, "p", "line", -0.0011, 0.01, 0, "from") # p12 + create_measurement(net, "q", "line", 0.024, 0.01, 0, "from") # q12 + + create_measurement(net, "p", "bus", -0.018, 0.01, 2) # p3 + create_measurement(net, "q", "bus", 0.1, 0.01, 2) # q3 + + create_measurement(net, "v", "bus", 1.08, 0.05, 0) # u1 + create_measurement(net, "v", "bus", 1.015, 0.05, 2) # u3 + + # 0. Do chi2-test for corret data + assert not chi2_analysis(net, init='flat') + + # 1. Create false voltage measurement for testing bad data detection (-> should be removed) + create_measurement(net, "v", "bus", 1.3, 0.01, 1) # V at bus 2 + + # 2. Do chi2-test + bad_data_detected = chi2_analysis(net, init='flat') + + # 3. Perform rn_max_test + success_rn_max = remove_bad_data(net, init='flat') + v_est_rn_max = net.res_bus_est.vm_pu.values + delta_est_rn_max = net.res_bus_est.va_degree.values + + target_v = np.array([1.0627, 1.0589, 1.0317]) + diff_v = target_v - v_est_rn_max + target_delta = np.array([0., 0.8677, 3.1381]) + diff_delta = target_delta - delta_est_rn_max + + assert bad_data_detected + assert success_rn_max + if np.nanmax(abs(diff_v)) >= 1e-4 or np.nanmax(abs(diff_delta)) >= 1e-4: + raise AssertionError("Estimation failed!") + + +def test_3bus_with_out_of_service_bus(): + # Test case from book "Power System State Estimation", A. Abur, A. G. Exposito, p. 20ff. + # S_ref = 1 MVA (PP standard) + # V_ref = 1 kV + # Z_ref = 1 Ohm + + # The example only had per unit values, but pandapower expects kV, MVA, kW, kVar + # Measurements should be in kW/kVar/A - Voltage in p.u. + + # 1. Create network + net = pandapowerNet(name="test_3bus_with_out_of_service_bus") + create_bus(net, name="bus1", vn_kv=1.) + create_bus(net, name="bus2", vn_kv=1.) + create_bus(net, name="bus3", vn_kv=1.) + create_bus(net, name="bus4", vn_kv=1., in_service=False) # out-of-service bus test + create_ext_grid(net, 0) + create_line_from_parameters(net, 0, 1, 1, r_ohm_per_km=.01, x_ohm_per_km=.03, c_nf_per_km=0., + max_i_ka=1) + create_line_from_parameters(net, 0, 2, 1, r_ohm_per_km=.02, x_ohm_per_km=.05, c_nf_per_km=0., + max_i_ka=1) + create_line_from_parameters(net, 1, 2, 1, r_ohm_per_km=.03, x_ohm_per_km=.08, c_nf_per_km=0., + max_i_ka=1) + + create_measurement(net, "v", "bus", 1.006, .004, 0) # V at bus 1 + create_measurement(net, "v", "bus", .968, .004, 1) # V at bus 2 + + create_measurement(net, "p", "bus", .501, .010, 1) # P at bus 2 + create_measurement(net, "q", "bus", .286, .010, 1) # Q at bus 2 + + create_measurement(net, "p", "line", .888, .008, 0, "from") # Pline (bus 1 -> bus 2) at bus 1 + create_measurement(net, "p", "line", 1.173, .008, 1, "from") # Pline (bus 1 -> bus 3) at bus 1 + create_measurement(net, "q", "line", .568, .008, 0, "from") # Qline (bus 1 -> bus 2) at bus 1 + create_measurement(net, "q", "line", .663, .008, 1, "from") # Qline (bus 1 -> bus 3) at bus 1 + + # 2. Do state estimation + if not estimate(net, init='flat'): + raise AssertionError("Estimation failed!") + + v_result = net.res_bus_est.vm_pu.values + delta_result = net.res_bus_est.va_degree.values + + target_v = np.array([[0.9996, 0.9741, 0.9438, np.nan]]) + diff_v = target_v - v_result + target_delta = np.array([[0., -1.2475, -2.7457, np.nan]]) + diff_delta = target_delta - delta_result + + if np.nanmax(abs(diff_v)) >= 1e-4 or np.nanmax(abs(diff_delta)) >= 1e-4: + raise AssertionError("Estimation failed!") + + +def test_3bus_with_transformer(): + np.random.seed(12) + + # 1. Create network + net = pandapowerNet(name="test_3bus_with_transformer") + create_bus(net, name="bus1", vn_kv=10.) + create_bus(net, name="bus2", vn_kv=10.) + create_bus(net, name="bus3", vn_kv=10.) + create_bus(net, name="bus4", vn_kv=110.) + create_ext_grid(net, bus=3, vm_pu=1.01) + create_line_from_parameters(net, 0, 1, 1, r_ohm_per_km=.01, x_ohm_per_km=.03, c_nf_per_km=0., + max_i_ka=1) + create_line_from_parameters(net, 0, 2, 1, r_ohm_per_km=.02, x_ohm_per_km=.05, c_nf_per_km=0., + max_i_ka=1) + create_line_from_parameters(net, 1, 2, 1, r_ohm_per_km=.03, x_ohm_per_km=.08, c_nf_per_km=0., + max_i_ka=1) + + create_std_type(net, {"sn_mva": 25, "vn_hv_kv": 110, "vn_lv_kv": 10, "vk_percent": 10.04, + "vkr_percent": 0.276, "pfe_kw": 28.51, "i0_percent": 0.073, "shift_degree": 150, + "tap_side": "hv", "tap_neutral": 0, "tap_min": -9, "tap_max": 9, "tap_step_degree": 0, + "tap_step_percent": 1.5, "tap_changer_type": "Ratio"}, + "25 MVA 110/10 kV v1.4.3 and older", element="trafo") + create_transformer(net, 3, 0, std_type="25 MVA 110/10 kV v1.4.3 and older") + + create_load(net, bus=1, p_mw=0.45, q_mvar=0.3) + create_load(net, bus=2, p_mw=0.35, q_mvar=0.2) + + runpp(net, calculate_voltage_angles=True) + + create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[0], .004), .004, element=0) + create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[1], .004), .004, element=1) + create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[3], .004), .004, element=3) + + create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[1], .01), .01, element=1) + create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[1], .01), .01, element=1) + + create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[2], .01), .010, element=2) + create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[2], .01), .01, element=2) + + create_measurement(net, "p", "bus", 0., 0.001, element=0) + create_measurement(net, "q", "bus", 0., 0.001, element=0) + + create_measurement(net, "p", "line", r2(net.res_line.p_from_mw.iloc[0], .008), .008, 0, "from") + create_measurement(net, "p", "line", r2(net.res_line.p_from_mw.iloc[1], .008), .008, 1, "from") + + create_measurement(net, "p", "trafo", r2(net.res_trafo.p_hv_mw.iloc[0], .01), .01, + side="hv", element=0) # transformer meas. + create_measurement(net, "q", "trafo", r2(net.res_trafo.q_hv_mvar.iloc[0], .01), .01, + side="hv", element=0) # at hv side + + # 2. Do state estimation + if not estimate(net, init='slack', tolerance=1e-6, maximum_iterations=10): + raise AssertionError("Estimation failed!") + v_result = net.res_bus_est.vm_pu.values + delta_result = net.res_bus_est.va_degree.values + + diff_v = net.res_bus.vm_pu.values - v_result + diff_delta = net.res_bus.va_degree.values - delta_result + + if np.nanmax(abs(diff_v)) >= 6e-4 or np.nanmax(abs(diff_delta)) >= 8e-4: + raise AssertionError("Estimation failed!") + + # Backwards check. Use state estimation results for power flow and check for equality + net.load = net.load.drop(net.load.index) + net.ext_grid.vm_pu = net.res_bus_est.vm_pu.iloc[net.ext_grid.bus.iloc[0]] + create_load(net, 0, net.res_bus_est.p_mw.iloc[0], net.res_bus_est.q_mvar.iloc[0]) + create_load(net, 1, net.res_bus_est.p_mw.iloc[1], net.res_bus_est.q_mvar.iloc[1]) + create_load(net, 2, net.res_bus_est.p_mw.iloc[2], net.res_bus_est.q_mvar.iloc[2]) + + _compare_pf_and_se_results(net) + + +def test_3bus_with_2_slacks(): + # load the net which already contains 3 buses + net = load_3bus_network() + # add the same net with different slack (no galvanic connection) + # skip bus index 4 as further stability test + create_bus(net, name="bus5", vn_kv=1., index=5) + create_bus(net, name="bus6", vn_kv=1., index=6) + create_bus(net, name="bus7", vn_kv=1., index=7) + create_ext_grid(net, 5) + create_line_from_parameters(net, 5, 6, 1, r_ohm_per_km=.01, x_ohm_per_km=.03, c_nf_per_km=0., + max_i_ka=1) + create_line_from_parameters(net, 5, 7, 1, r_ohm_per_km=.02, x_ohm_per_km=.05, c_nf_per_km=0., + max_i_ka=1) + create_line_from_parameters(net, 6, 7, 1, r_ohm_per_km=.03, x_ohm_per_km=.08, c_nf_per_km=0., + max_i_ka=1) + + create_measurement(net, "v", "bus", 1.006, .004, element=5) # V at bus 5 + create_measurement(net, "v", "bus", .968, .004, element=6) # V at bus 6 + + create_measurement(net, "p", "bus", .501, .010, element=6) # P at bus 6 + create_measurement(net, "q", "bus", .286, .010, element=6) # Q at bus 6 + + create_measurement(net, "p", "line", .888, .008, 3, "from") # Pline (bus 5 -> bus 6) at bus 5 + create_measurement(net, "p", "line", 1.173, .008, 4, "from") # Pline (bus 5 -> bus 7) at bus 5 + create_measurement(net, "q", "line", .568, .008, 3, "from") # Qline (bus 5 -> bus 6) at bus 5 + create_measurement(net, "q", "line", .663, .008, 4, "from") # Qline (bus 5 -> bus 7) at bus 5 + + # 2. Do state estimation + if not estimate(net, init='flat', maximum_iterations=10): + raise AssertionError("Estimation failed!") + v_result = net.res_bus_est.vm_pu.values + delta_result = net.res_bus_est.va_degree.values + + target_v = np.array([0.9996, 0.9741, 0.9438, np.nan, 0.9996, 0.9741, 0.9438]) + target_delta = np.array([0.0, -1.2475469989322963, -2.7457167371166862, np.nan, 0.0, + -1.2475469989322963, -2.7457167371166862]) + + if not np.allclose(v_result, target_v, atol=1e-4, equal_nan=True) or \ + not np.allclose(delta_result, target_delta, atol=1e-4, equal_nan=True): + raise AssertionError("Estimation failed!") + + +def test_3bus_with_i_line_measurements(): + np.random.seed(1) + net = load_3bus_network() + net.measurement = net.measurement.drop(net.measurement.index) + create_load(net, 1, p_mw=0.495974966, q_mvar=0.297749528) + create_load(net, 2, p_mw=1.514220983, q_mvar=0.787528929) + runpp(net) + create_measurement(net, "v", "bus", net.res_bus.vm_pu[0] * r(0.01), 0.01, 0) + create_measurement(net, "v", "bus", net.res_bus.vm_pu[2] * r(0.01), 0.01, 1) + create_measurement(net, "p", "bus", net.res_bus.p_mw[0] * r(), + max(1.0e-3, abs(0.03 * net.res_bus.p_mw[0])), 0) + create_measurement(net, "q", "bus", net.res_bus.q_mvar[0] * r(), + max(1.0e-3, abs(0.03 * net.res_bus.q_mvar[0])), 0) + create_measurement(net, "p", "bus", net.res_bus.p_mw[2] * r(), + max(1.0e-3, abs(0.03 * net.res_bus.p_mw[2])), 2) + create_measurement(net, "q", "bus", net.res_bus.q_mvar[2] * r(), + max(1.0e-3, abs(0.03 * net.res_bus.q_mvar[2])), 2) + create_measurement(net, "p", "line", net.res_line.p_from_mw[0] * r(), + max(1.0e-3, abs(0.03 * net.res_line.p_from_mw[0])), element=0, side="from") + create_measurement(net, "q", "line", net.res_line.q_from_mvar[0] * r(), + max(1.0e-3, abs(0.03 * net.res_line.q_from_mvar[0])), element=0, side="from") + create_measurement(net, "i", "line", net.res_line.i_from_ka[0] * 1e3 * r(), + max(1.0, abs(30 * net.res_line.i_from_ka[0])), element=0, side="from") + create_measurement(net, "i", "line", net.res_line.i_from_ka[1] * 1e3 * r(), + max(1.0, abs(30 * net.res_line.i_from_ka[1])), element=1, side="from") + + if not estimate(net, init='flat'): + raise AssertionError("Estimation failed!") + + assert (np.nanmax(abs(net.res_bus_est.vm_pu.values - net.res_bus.vm_pu.values)) < 0.045) + assert (np.nanmax(abs(net.res_bus_est.va_degree.values - net.res_bus.va_degree.values)) < 0.9) + + +def test_3bus_with_pq_line_from_to_measurements(): + np.random.seed(2017) + net = load_3bus_network() + net.measurement = net.measurement.drop(net.measurement.index) + create_load(net, 1, p_mw=0.495974966, q_mvar=0.297749528) + create_load(net, 2, p_mw=1.514220983, q_mvar=0.787528929) + runpp(net) + create_measurement(net, "v", "bus", net.res_bus.vm_pu[0] * r(0.01), 0.01, 0) + create_measurement(net, "v", "bus", net.res_bus.vm_pu[2] * r(0.01), 0.01, 1) + create_measurement(net, "p", "bus", net.res_bus.p_mw[0] * r(), + max(1.0e-3, abs(0.03 * net.res_bus.p_mw[0])), 0) + create_measurement(net, "q", "bus", net.res_bus.q_mvar[0] * r(), + max(1.0e-3, abs(0.03 * net.res_bus.q_mvar[0])), 0) + create_measurement(net, "p", "bus", net.res_bus.p_mw[2] * r(), + max(1.0e-3, abs(0.03 * net.res_bus.p_mw[2])), 2) + create_measurement(net, "q", "bus", net.res_bus.q_mvar[2] * r(), + max(1.0e-3, abs(0.03 * net.res_bus.q_mvar[2])), 2) + create_measurement(net, "p", "line", net.res_line.p_from_mw[0] * r(), + max(1.0e-3, abs(0.03 * net.res_line.p_from_mw[0])), element=0, side="from") + create_measurement(net, "q", "line", net.res_line.q_from_mvar[0] * r(), + max(1.0e-3, abs(0.03 * net.res_line.q_from_mvar[0])), element=0, side="from") + create_measurement(net, "p", "line", net.res_line.p_to_mw[0] * r(), + max(1.0e-3, abs(0.03 * net.res_line.p_to_mw[0])), element=0, side="to") + create_measurement(net, "q", "line", net.res_line.q_to_mvar[0] * r(), + max(1.0e-3, abs(0.03 * net.res_line.q_to_mvar[0])), element=0, side="to") + + if not estimate(net, init='flat'): + raise AssertionError("Estimation failed!") + + assert (np.nanmax(abs(net.res_bus_est.vm_pu.values - net.res_bus.vm_pu.values)) < 0.023) + assert (np.nanmax(abs(net.res_bus_est.va_degree.values - net.res_bus.va_degree.values)) < 0.12) + + +def test_3bus_with_side_names(): + np.random.seed(2017) + net = load_3bus_network() + net.measurement = net.measurement.drop(net.measurement.index) + create_load(net, 1, p_mw=0.495974966, q_mvar=0.297749528) + create_load(net, 2, p_mw=1.514220983, q_mvar=0.787528929) + runpp(net) + create_measurement(net, "v", "bus", net.res_bus.vm_pu[0] * r(0.01), 0.01, 0) + create_measurement(net, "v", "bus", net.res_bus.vm_pu[2] * r(0.01), 0.01, 1) + create_measurement(net, "p", "bus", net.res_bus.p_mw[0] * r(), + max(1.0e-3, abs(0.03 * net.res_bus.p_mw[0])), 0) + create_measurement(net, "q", "bus", net.res_bus.q_mvar[0] * r(), + max(1.0e-3, abs(0.03 * net.res_bus.q_mvar[0])), 0) + create_measurement(net, "p", "bus", net.res_bus.p_mw[2] * r(), + max(1.0e-3, abs(0.03 * net.res_bus.p_mw[2])), 2) + create_measurement(net, "q", "bus", net.res_bus.q_mvar[2] * r(), + max(1.0e-3, abs(0.03 * net.res_bus.q_mvar[2])), 2) + create_measurement(net, "p", "line", net.res_line.p_from_mw[0] * r(), + max(1.0e-3, abs(0.03 * net.res_line.p_from_mw[0])), element=0, side="from") + create_measurement(net, "q", "line", net.res_line.q_from_mvar[0] * r(), + max(1.0e-3, abs(0.03 * net.res_line.q_from_mvar[0])), element=0, side="from") + create_measurement(net, "p", "line", net.res_line.p_to_mw[0] * r(), + max(1.0e-3, abs(0.03 * net.res_line.p_to_mw[0])), element=0, side="to") + create_measurement(net, "q", "line", net.res_line.q_to_mvar[0] * r(), + max(1.0e-3, abs(0.03 * net.res_line.q_to_mvar[0])), element=0, side="to") + + if not estimate(net, init='flat'): + raise AssertionError("Estimation failed!") + + assert (np.nanmax(abs(net.res_bus_est.vm_pu.values - net.res_bus.vm_pu.values)) < 0.023) + assert (np.nanmax(abs(net.res_bus_est.va_degree.values - net.res_bus.va_degree.values)) < 0.12) + + +def test_cigre_network(init='flat'): + # 1. create network + # test the mv ring network with all available voltage measurements and bus powers + # test if switches and transformer will work correctly with the state estimation + np.random.seed(123456) + net = create_cigre_network_mv(with_der=False) + runpp(net) + + for bus, row in net.res_bus.iterrows(): + create_measurement(net, "v", "bus", row.vm_pu * r(0.01), 0.01, bus) + # if np.random.randint(0, 4) == 0: + # continue + create_measurement(net, "p", "bus", row.p_mw * r(), max(0.001, abs(0.03 * row.p_mw)), + bus) + create_measurement(net, "q", "bus", row.q_mvar * r(), max(0.001, abs(0.03 * row.q_mvar)), + bus) + + # 2. Do state estimation + if not estimate(net, init="flat"): + raise AssertionError("Estimation failed!") + + v_result = net.res_bus_est.vm_pu.values + delta_result = net.res_bus_est.va_degree.values + + target_v = net.res_bus.vm_pu.values + diff_v = target_v - v_result + target_delta = net.res_bus.va_degree.values + diff_delta = target_delta - delta_result + + assert (np.nanmax(abs(diff_v)) < 0.0043) + assert (np.nanmax(abs(diff_delta)) < 0.2) + + +def test_cigre_network_with_slack_init(): + test_cigre_network(init='slack') + + +def test_cigre_with_bad_data(): + net = create_cigre_network_mv(with_der=False) + net.load.q_mvar = net.load["p_mw"].apply(lambda p: p * np.tan(np.arccos(0.9))) + runpp(net) + + for bus, row in net.res_bus.iterrows(): + if bus != 6: + create_measurement(net, "v", "bus", row.vm_pu * r(0.005), 0.005, bus) # skip our bad data measurement + create_measurement(net, "p", "bus", row.p_mw * r(), max(0.03, abs(0.03 * row.p_mw)), bus) + create_measurement(net, "q", "bus", row.q_mvar * r(), max(0.03, abs(0.03 * row.q_mvar)), bus) + + # 2. Do state estimation + success_SE = estimate(net, init='slack') + v_est_SE = net.res_bus_est.vm_pu.values + delta_SE = net.res_bus_est.va_degree.values + + # 3. Create false measurement (very close to useful values) + create_measurement(net, "v", "bus", 0.85, 0.005, element=6) + + # 4. Do chi2-test + bad_data_detected = chi2_analysis(net, init='slack') + assert bad_data_detected + + # 5. Perform rn_max_test + success_rn_max = remove_bad_data(net, init='slack', rn_max_threshold=4.0) + v_est_rn_max = net.res_bus_est.vm_pu.values + delta_est_rn_max = net.res_bus_est.va_degree.values + + diff_v = v_est_SE - v_est_rn_max + diff_delta = delta_SE - delta_est_rn_max + + assert success_SE + assert bad_data_detected + assert success_rn_max + assert (np.nanmax(abs(diff_v)) < 1e-8) + assert (np.nanmax(abs(diff_delta)) < 1e-8) + + +def test_init_slack_with_multiple_transformers(): + np.random.seed(123) + net = pandapowerNet(name="test_init_slack_with_multiple_transformers") + create_bus(net, 220, index=0) + create_bus(net, 110, index=1) + create_bus(net, 110, index=2) + create_bus(net, 110, index=3) + create_bus(net, 10, index=4) + create_bus(net, 10, index=5) + create_bus(net, 10, index=6) + create_bus(net, 10, index=7, in_service=False) + create_std_type(net, {"sn_mva": 63, "vn_hv_kv": 110, "vn_lv_kv": 10, "vk_percent": 10.04, + "vkr_percent": 0.31, "pfe_kw": 31.51, "i0_percent": 0.078, "shift_degree": 150, + "tap_side": "hv", "tap_neutral": 0, "tap_min": -9, "tap_max": 9, "tap_step_degree": 0, + "tap_step_percent": 1.5, "tap_changer_type": "Ratio"}, + "63 MVA 110/10 kV v1.4.3 and older", element="trafo") + + create_transformer(net, 3, 7, std_type="63 MVA 110/10 kV v1.4.3 and older", in_service=False) + create_transformer(net, 3, 4, std_type="63 MVA 110/10 kV v1.4.3 and older") + create_transformer(net, 0, 1, std_type="100 MVA 220/110 kV") + create_line(net, 1, 2, 2.0, std_type="N2XS(FL)2Y 1x120 RM/35 64/110 kV") + create_line(net, 1, 3, 2.0, std_type="N2XS(FL)2Y 1x120 RM/35 64/110 kV") + create_line(net, 4, 5, 2.0, std_type="NA2XS2Y 1x95 RM/25 12/20 kV") + create_line(net, 5, 6, 2.0, std_type="NA2XS2Y 1x95 RM/25 12/20 kV") + create_load(net, 2, p_mw=5, q_mvar=3.3) + create_load(net, 5, p_mw=0.9, q_mvar=0.5) + create_load(net, bus=6, p_mw=0.7, q_mvar=0.3) + create_ext_grid(net, bus=0, vm_pu=1.04, va_degree=10., name="Slack 220 kV") + runpp(net, calculate_voltage_angles=True) + for bus, row in net.res_bus[net.bus.in_service].iterrows(): + create_measurement(net, "v", "bus", row.vm_pu * r(0.01), 0.01, bus) + if not np.isclose(row.p_mw, 0.0): + continue + create_measurement(net, "p", "bus", row.p_mw * r(), max(0.001, abs(0.03 * row.p_mw)), + bus) + create_measurement(net, "q", "bus", row.q_mvar * r(), max(.0001, abs(0.03 * row.q_mvar)), + bus) + create_measurement(net, "p", "line", net.res_line.p_from_mw[0], .01, side="from", element=0) + create_measurement(net, "q", "line", net.res_line.q_from_mvar[0], 0.01, side="from", element=0) + create_measurement(net, "p", "line", net.res_line.p_from_mw[2], .01, side="from", element=2) + create_measurement(net, "q", "line", net.res_line.q_from_mvar[2], .01, side="from", element=2) + create_measurement(net, "p", "line", net.res_line.p_from_mw[3], .01, side="from", element=3) + create_measurement(net, "q", "line", net.res_line.q_from_mvar[3], 0.01, side="from", element=3) + success = estimate(net, init='slack', tolerance=1e-9) + + # pretty high error for vm_pu (half percent!) + assert success + assert (np.nanmax(np.abs(net.res_bus.vm_pu.values - net.res_bus_est.vm_pu.values)) < 0.006) + assert (np.nanmax(np.abs(net.res_bus.va_degree.values - net.res_bus_est.va_degree.values)) < 0.006) + + +def test_check_existing_measurements(): + np.random.seed(2017) + net = pandapowerNet(name="test_check_existing_measurements") + create_bus(net, 10.) + create_bus(net, 10.) + create_line(net, 0, 1, 0.5, std_type="149-AL1/24-ST1A 10.0") + m1 = create_measurement(net, "v", "bus", 1.006, .004, 0) + m2 = create_measurement(net, "v", "bus", 1.006, .004, 0) + + # assert m1 == m2 + assert len(net.measurement) == 2 + m3 = create_measurement(net, "v", "bus", 1.006, .004, 0, check_existing=False) + # assert m3 != m2 + assert len(net.measurement) == 3 + + m4 = create_measurement(net, "p", "line", -0.0011, 0.01, side="from", element=0, + check_existing=True) + m5 = create_measurement(net, "p", "line", -0.0011, 0.01, side="from", element=0, + check_existing=True) + assert m4 == m5 + + m6 = create_measurement(net, "p", "line", -0.0011, 0.01, side="from", element=0, + check_existing=False) + assert m5 != m6 + assert len(net.measurement) == 5 + + +def test_network_with_trafo3w_pq(): + net = pandapowerNet(name="test_network_with_trafo3w_pq") + + bus_slack = create_bus(net, vn_kv=110) + create_ext_grid(net, bus=bus_slack) + + bus_20_1 = create_bus(net, vn_kv=20, name="b") + create_sgen(net, bus=bus_20_1, p_mw=0.03, q_mvar=0.02) + + bus_10_1 = create_bus(net, vn_kv=10) + create_sgen(net, bus=bus_10_1, p_mw=0.02, q_mvar=0.02) + + bus_10_2 = create_bus(net, vn_kv=10) + create_load(net, bus=bus_10_2, p_mw=0.06, q_mvar=0.01) + create_line(net, from_bus=bus_10_1, to_bus=bus_10_2, std_type="149-AL1/24-ST1A 10.0", length_km=2) + + create_transformer3w(net, bus_slack, bus_20_1, bus_10_1, std_type="63/25/38 MVA 110/20/10 kV") + + runpp(net) + + create_measurement(net, "p", "line", net.res_line.p_from_mw[0], 0.001, 0, 'from') + create_measurement(net, "q", "line", net.res_line.q_from_mvar[0], 0.001, 0, 'from') + create_measurement(net, "p", "line", net.res_line.p_to_mw[0], 0.001, 0, 'to') + create_measurement(net, "q", "line", net.res_line.q_to_mvar[0], 0.001, 0, 'to') + + create_measurement(net, "p", "trafo3w", net.res_trafo3w.p_hv_mw[0], 0.001, 0, 'hv') + create_measurement(net, "q", "trafo3w", net.res_trafo3w.q_hv_mvar[0], 0.001, 0, 'hv') + create_measurement(net, "p", "trafo3w", net.res_trafo3w.p_mv_mw[0], 0.002, 0, 'mv') + create_measurement(net, "q", "trafo3w", net.res_trafo3w.q_mv_mvar[0], 0.002, 0, 'mv') + create_measurement(net, "p", "trafo3w", net.res_trafo3w.p_lv_mw[0], 0.001, 0, 'lv') + create_measurement(net, "q", "trafo3w", net.res_trafo3w.q_lv_mvar[0], 0.001, 0, 'lv') + + create_measurement(net, "v", "bus", net.res_bus.vm_pu[0], 0.01, 0) + create_measurement(net, "v", "bus", net.res_bus.vm_pu[1], 0.01, 1) + + if not estimate(net): + raise AssertionError("Estimation failed!") + + if np.nanmax(np.abs(net.res_bus.vm_pu.values - net.res_bus_est.vm_pu.values)) >= 0.006 or \ + np.nanmax(np.abs(net.res_bus.va_degree.values - net.res_bus_est.va_degree.values)) >= 0.006: + raise AssertionError("Estimation failed") + + # Try estimate with results initialization + if not estimate(net, init="results"): + raise AssertionError("Estimation failed!") + + +def test_network_with_trafo3w_with_disabled_branch(): + net = pandapowerNet(name="test_network_with_trafo3w_with_disabled_branch") + + bus_slack = create_bus(net, vn_kv=110) + create_ext_grid(net, bus=bus_slack) + + bus_20_1 = create_bus(net, vn_kv=20, name="b") + create_sgen(net, bus=bus_20_1, p_mw=0.03, q_mvar=0.02) + + bus_10_1 = create_bus(net, vn_kv=10) + create_sgen(net, bus=bus_10_1, p_mw=0.02, q_mvar=0.02) + + bus_10_2 = create_bus(net, vn_kv=10) + create_load(net, bus=bus_10_2, p_mw=0.06, q_mvar=0.01) + create_line(net, from_bus=bus_10_1, to_bus=bus_10_2, std_type="149-AL1/24-ST1A 10.0", length_km=2) + disabled_line = create_line(net, from_bus=bus_10_1, to_bus=bus_10_2, std_type="149-AL1/24-ST1A 10.0", length_km=2) + net.line.at[disabled_line, 'in_service'] = False + + create_transformer3w(net, bus_slack, bus_20_1, bus_10_1, std_type="63/25/38 MVA 110/20/10 kV") + + runpp(net) + + create_measurement(net, "p", "line", net.res_line.p_from_mw[0], 0.001, 0, 'from') + create_measurement(net, "q", "line", net.res_line.q_from_mvar[0], 0.001, 0, 'from') + create_measurement(net, "p", "line", net.res_line.p_to_mw[0], 0.001, 0, 'to') + create_measurement(net, "q", "line", net.res_line.q_to_mvar[0], 0.001, 0, 'to') + create_measurement(net, "p", "line", net.res_line.p_to_mw[1], 0.001, 1, 'to') + create_measurement(net, "q", "line", net.res_line.q_to_mvar[1], 0.001, 1, 'to') + + create_measurement(net, "p", "trafo3w", net.res_trafo3w.p_hv_mw[0], 0.001, 0, 'hv') + create_measurement(net, "q", "trafo3w", net.res_trafo3w.q_hv_mvar[0], 0.001, 0, 'hv') + create_measurement(net, "p", "trafo3w", net.res_trafo3w.p_mv_mw[0], 0.002, 0, 'mv') + create_measurement(net, "q", "trafo3w", net.res_trafo3w.q_mv_mvar[0], 0.002, 0, 'mv') + create_measurement(net, "p", "trafo3w", net.res_trafo3w.p_lv_mw[0], 0.001, 0, 'lv') + create_measurement(net, "q", "trafo3w", net.res_trafo3w.q_lv_mvar[0], 0.001, 0, 'lv') + + create_measurement(net, "v", "bus", net.res_bus.vm_pu[0], 0.01, 0) + create_measurement(net, "v", "bus", net.res_bus.vm_pu[1], 0.01, 1) + + success = estimate(net) + assert success + assert (np.nanmax(np.abs(net.res_bus.vm_pu.values - net.res_bus_est.vm_pu.values)) < 0.006) + assert (np.nanmax(np.abs(net.res_bus.va_degree.values - net.res_bus_est.va_degree.values)) < 0.006) + + +def create_net_with_bb_switch(): + net = pandapowerNet(name="create_net_with_bb_switch") + bus1 = create_bus(net, name="bus1", vn_kv=10.) + bus2 = create_bus(net, name="bus2", vn_kv=10.) + bus3 = create_bus(net, name="bus3", vn_kv=10.) + bus4 = create_bus(net, name="bus4", vn_kv=10.) + bus5 = create_bus(net, name="bus5", vn_kv=110.) + + create_line_from_parameters(net, bus1, bus2, 10, r_ohm_per_km=.59, x_ohm_per_km=.35, c_nf_per_km=10.1, + max_i_ka=1) + create_transformer(net, bus5, bus1, std_type="40 MVA 110/10 kV") + create_ext_grid(net, bus=bus5, vm_pu=1.0) + create_load(net, bus1, p_mw=.350, q_mvar=.100) + create_load(net, bus2, p_mw=.450, q_mvar=.100) + create_load(net, bus3, p_mw=.250, q_mvar=.100) + create_load(net, bus4, p_mw=.150, q_mvar=.100) + + # Created bb switch + create_switch(net, bus2, element=bus3, et='b') + create_switch(net, bus1, element=bus4, et='b') + runpp(net, calculate_voltage_angles=True) + + create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus1], .002), .002, element=bus1) + create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus3], .002), .002, element=bus3) + create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus5], .002), .002, element=bus5) + + create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus5], .002), .002, element=bus5) + create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus5], .002), .002, element=bus5) + + # If measurement on the bus with bb-switch activated, it will incluence the results of the merged bus + create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus4], .002), .002, element=bus4) + create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus4], .002), .002, element=bus4) + create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus3], .001), .001, element=bus3) + create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus3], .001), .001, element=bus3) + create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus2], .001), .001, element=bus2) + create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus2], .001), .001, element=bus2) + create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus1], .001), .001, element=bus1) + create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus1], .001), .001, element=bus1) + + create_measurement(net, "p", "line", r2(net.res_line.p_from_mw.iloc[0], .002), .002, 0, side='from') + create_measurement(net, "q", "line", r2(net.res_line.q_from_mvar.iloc[0], .002), .002, 0, side='from') + + create_measurement(net, "p", "trafo", r2(net.res_trafo.p_hv_mw.iloc[0], .001), .01, + side="hv", element=0) + create_measurement(net, "q", "trafo", r2(net.res_trafo.q_hv_mvar.iloc[0], .001), .01, + side="hv", element=0) + return net + + +def test_net_with_bb_switch_no_fusing(): + net = create_net_with_bb_switch() + success_none = estimate(net, tolerance=1e-5, fuse_buses_with_bb_switch=None) + runpp(net, calculate_voltage_angles=True) + assert success_none + assert np.allclose(net.res_bus.va_degree.values, net.res_bus_est.va_degree.values, 1e-2) + assert np.allclose(net.res_bus.vm_pu.values, net.res_bus_est.vm_pu.values, 1e-2) + # asserting with more tolerance since the added impedance will cause some inaccuracy + assert np.allclose(net.res_bus.p_mw.values, net.res_bus_est.p_mw.values, 1e-1) + assert np.allclose(net.res_bus.q_mvar.values, net.res_bus_est.q_mvar.values, 1e-1) + + +def test_net_with_bb_switch_fuse_one(): + net = create_net_with_bb_switch() + success = estimate(net, tolerance=1e-5, fuse_buses_with_bb_switch=[1]) + runpp(net, calculate_voltage_angles=True) + assert success + assert np.allclose(net.res_bus.va_degree.values, net.res_bus_est.va_degree.values, 1e-2) + assert np.allclose(net.res_bus.vm_pu.values, net.res_bus_est.vm_pu.values, 1e-2) + # asserting with more tolerance since the added impedance will cause some inaccuracy + assert np.allclose(net.res_bus.p_mw.values[[0, 3, 4]], net.res_bus_est.p_mw.values[[0, 3, 4]], 1e-1) + assert np.allclose(net.res_bus.q_mvar.values[[0, 3, 4]], net.res_bus_est.q_mvar.values[[0, 3, 4]], 1e-1) + + +@pytest.mark.xfail +def test_net_with_bb_switch_fuse_one_identify_pq(): + net = create_net_with_bb_switch() + estimate(net, tolerance=1e-5, fuse_buses_with_bb_switch=[1]) + # asserting with more tolerance since the added impedance will cause some inaccuracy + assert np.allclose(net.res_bus.p_mw.values, net.res_bus_est.p_mw.values, 1e-1) + assert np.allclose(net.res_bus.q_mvar.values, net.res_bus_est.q_mvar.values, 1e-1) + + +def test_net_with_bb_switch_fusing(): + net = create_net_with_bb_switch() + estimate(net, tolerance=1e-5, fuse_buses_with_bb_switch='all') + + assert np.allclose(net.res_bus.va_degree.values, net.res_bus_est.va_degree.values, 5e-2) + assert np.allclose(net.res_bus.vm_pu.values, net.res_bus_est.vm_pu.values, 5e-2) + + +def test_net_with_zero_injection(): + # @author: AndersLi + net = pandapowerNet(name="test_net_with_zero_injection") + b1 = create_bus(net, name="Bus 1", vn_kv=220, index=1) + b2 = create_bus(net, name="Bus 2", vn_kv=220, index=2) + b3 = create_bus(net, name="Bus 3", vn_kv=220, index=3) + b4 = create_bus(net, name="Bus 4", vn_kv=220, index=4) + + create_ext_grid(net, b1) # set the slack bus to bus 1 + factor = 48.4 * 2 * np.pi * 50 * 1e-9 # capacity factor + + create_line_from_parameters(net, 1, 2, 1, r_ohm_per_km=.0221 * 48.4, + x_ohm_per_km=.1603 * 48.4, c_nf_per_km=0.00274 / factor, max_i_ka=1) + create_line_from_parameters(net, 2, 3, 1, r_ohm_per_km=.0428 * 48.4, + x_ohm_per_km=.242 * 48.4, c_nf_per_km=0.00384 / factor, max_i_ka=1) + l3 = create_line_from_parameters(net, 2, 4, 1, r_ohm_per_km=.002 * 48.4, + x_ohm_per_km=.0111 * 48.4, c_nf_per_km=0.00018 / factor, max_i_ka=1) + + create_measurement(net, "v", "bus", 1.063548, .001, b1) # V at bus 1 + create_measurement(net, "v", "bus", 1.068342, .001, b3) # V at bus 3 + create_measurement(net, "v", "bus", 1.069861, .001, b4) # V at bus 4 + create_measurement(net, "p", "bus", 40.0, 1, b1) # P at bus 1 + create_measurement(net, "q", "bus", 9.2, 1, b1) # Q at bus 1 + # create_measurement(net, "p", "bus", 0, 0.01, b2) # P at bus 2 - not required anymore + # create_measurement(net, "q", "bus", 0, 0.01, b2) # Q at bus 2 - not required anymore + create_measurement(net, "p", "bus", -10.0, 1, b3) # P at bus 3 + create_measurement(net, "q", "bus", -1.0, 1, b3) # Q at bus 3 + create_measurement(net, "p", "bus", -30.0, 1, b4) # P at bus 4 + create_measurement(net, "q", "bus", 0.100, 1, b4) # Q at bus 4 + create_measurement(net, "p", "line", 30.100, 1, l3, side="to") # Pline (bus 2 -> bus 4) at bus 4 + create_measurement(net, "q", "line", -0.099, 1, l3, side="to") # Qline (bus 2 -> bus 4) at bus 4 + + estimate(net, tolerance=1e-10, zero_injection='no_inj_bus', algorithm='wls_with_zero_constraint') + assert np.abs(net.res_bus_est.at[b2, 'p_mw']) < 1e-8 + assert np.abs(net.res_bus_est.at[b2, 'q_mvar']) < 1e-8 + + net_given_bus = deepcopy(net) + success = estimate(net, tolerance=1e-6, zero_injection="no_inj_bus") + assert success + assert np.allclose(net.res_bus_est.va_degree.values, net_given_bus.res_bus_est.va_degree.values, 1e-3) + assert np.allclose(net.res_bus_est.vm_pu.values, net_given_bus.res_bus_est.vm_pu.values, 1e-3) + + +def test_zero_injection_aux_bus(): + net = pandapowerNet(name="test_zero_injection_aux_bus") + bus1 = create_bus(net, name="bus1", vn_kv=10.) + bus2 = create_bus(net, name="bus2", vn_kv=10.) + bus3 = create_bus(net, name="bus3", vn_kv=10.) + bus4 = create_bus(net, name="bus4", vn_kv=110.) + + create_line_from_parameters(net, bus1, bus2, 10, r_ohm_per_km=.59, x_ohm_per_km=.35, c_nf_per_km=10.1, + max_i_ka=1) + create_line_from_parameters(net, bus2, bus3, 10, r_ohm_per_km=.59, x_ohm_per_km=.35, c_nf_per_km=10.1, + max_i_ka=1) + create_transformer(net, bus4, bus1, std_type="40 MVA 110/10 kV") + create_ext_grid(net, bus=bus4, vm_pu=1.0) + create_load(net, bus1, p_mw=.350, q_mvar=.100) + create_load(net, bus2, p_mw=.450, q_mvar=.100) + create_load(net, bus3, p_mw=.250, q_mvar=.100) + + net.bus.at[bus3, 'in_service'] = False + + # Created bb switch + runpp(net, calculate_voltage_angles=True) + + create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus1], .002), .002, element=bus1) + create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus4], .002), .002, element=bus4) + + create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus4], .002), .002, element=bus4) + create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus4], .002), .002, element=bus4) + + # If measurement on the bus with bb-switch activated, it will incluence the results of the merged bus + create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus2], .001), .001, element=bus2) + create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus2], .001), .001, element=bus2) + create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus1], .001), .001, element=bus1) + create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus1], .001), .001, element=bus1) + + create_measurement(net, "p", "line", r2(net.res_line.p_from_mw.iloc[0], .002), .002, 0, side='from') + create_measurement(net, "q", "line", r2(net.res_line.q_from_mvar.iloc[0], .002), .002, 0, side='from') + + create_measurement(net, "p", "trafo", r2(net.res_trafo.p_hv_mw.iloc[0], .001), .01, + side="hv", element=0) + create_measurement(net, "q", "trafo", r2(net.res_trafo.q_hv_mvar.iloc[0], .001), .01, + side="hv", element=0) + + net_noinj_bus = deepcopy(net) + net_aux = deepcopy(net) + + success_none = estimate(net, tolerance=1e-5, zero_injection=None) + + # In this case zero_injection in mode "aux_bus" and "no_inj_bus" should be exact the same + success_aux = estimate(net_aux, tolerance=1e-5, zero_injection='aux_bus') + success_noinj_bus = estimate(net_noinj_bus, tolerance=1e-5, zero_injection='no_inj_bus') + assert success_none and success_aux and success_noinj_bus + assert np.allclose(net_noinj_bus.res_bus_est.va_degree.values, net_aux.res_bus_est.va_degree.values, 1e-4, + equal_nan=True) + assert np.allclose(net_noinj_bus.res_bus_est.vm_pu.values, net_aux.res_bus_est.vm_pu.values, 1e-4, equal_nan=True) + + # in case zero injection was set to none, the results should be different + assert ~np.allclose(net.res_bus_est.vm_pu.values, net_aux.res_bus_est.vm_pu.values, 1e-2, equal_nan=True) + + +@pytest.mark.xfail +def test_net_unobserved_island(): + net = pandapowerNet(name="test_net_unobserved_island") + bus1 = create_bus(net, name="bus1", vn_kv=10.) + bus2 = create_bus(net, name="bus2", vn_kv=10.) + bus3 = create_bus(net, name="bus3", vn_kv=10.) + bus4 = create_bus(net, name="bus4", vn_kv=110.) + + create_line_from_parameters(net, bus1, bus2, 10, r_ohm_per_km=.59, x_ohm_per_km=.35, c_nf_per_km=10.1, + max_i_ka=1) + create_line_from_parameters(net, bus2, bus3, 10, r_ohm_per_km=.59, x_ohm_per_km=.35, c_nf_per_km=10.1, + max_i_ka=1) + create_transformer(net, bus4, bus1, std_type="40 MVA 110/10 kV") + create_ext_grid(net, bus=bus4, vm_pu=1.0) + create_load(net, bus1, p_mw=.350, q_mvar=.100) + create_load(net, bus2, p_mw=.450, q_mvar=.100) + create_load(net, bus3, p_mw=.250, q_mvar=.100) + + # Created bb switch + runpp(net, calculate_voltage_angles=True) + + create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus1], .002), .002, element=bus1) + create_measurement(net, "v", "bus", r2(net.res_bus.vm_pu.iloc[bus4], .002), .002, element=bus4) + + create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus4], .002), .002, element=bus4) + create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus4], .002), .002, element=bus4) + + # IF pq of bus2 is not available makes bus3 an unobserved island + # create_measurement(net, "p", "bus", -r2(net.res_bus.p_mw.iloc[bus2], .001), .001, element=bus2) + # create_measurement(net, "q", "bus", -r2(net.res_bus.q_mvar.iloc[bus2], .001), .001, element=bus2) + create_measurement(net, "p", "bus", r2(net.res_bus.p_mw.iloc[bus1], .001), .001, element=bus1) + create_measurement(net, "q", "bus", r2(net.res_bus.q_mvar.iloc[bus1], .001), .001, element=bus1) + + create_measurement(net, "p", "line", r2(net.res_line.p_from_mw.iloc[0], .002), .002, 0, side='from') + create_measurement(net, "q", "line", r2(net.res_line.q_from_mvar.iloc[0], .002), .002, 0, side='from') + + create_measurement(net, "p", "trafo", r2(net.res_trafo.p_hv_mw.iloc[0], .001), .01, + side="hv", element=0) + create_measurement(net, "q", "trafo", r2(net.res_trafo.q_hv_mvar.iloc[0], .001), .01, + side="hv", element=0) + + if not estimate(net, tolerance=1e-6, zero_injection=None): + raise AssertionError("Estimation failed!") + + +def test_net_oos_line(): + net = case9() + net.line.iat[4, net.line.columns.get_loc("in_service")] = False + runpp(net) + + for line_ix in net.line.index: + create_measurement(net, "p", "line", net.res_line.at[line_ix, "p_from_mw"], + 0.01, element=line_ix, side="from") + create_measurement(net, "q", "line", net.res_line.at[line_ix, "q_from_mvar"], + 0.01, element=line_ix, side="from") + + for bus_ix in net.bus.index: + create_measurement(net, "v", "bus", net.res_bus.at[bus_ix, "vm_pu"], + 0.01, element=bus_ix) + + if not estimate(net, tolerance=1e-6, zero_injection=None): + raise AssertionError("Estimation failed!") + + +def r(v=0.03): + return np.random.normal(1.0, v) + + +def r2(base, v): + return np.random.normal(base, v) + + +def _compare_pf_and_se_results(net): + runpp(net, calculate_voltage_angles=True, trafo_model="t") + assert (np.allclose(net.res_bus_est.p_mw.values, net.res_bus.p_mw.values, 1e-6)) + assert (np.allclose(net.res_bus_est.q_mvar.values, net.res_bus.q_mvar.values, 1e-6)) + assert (np.allclose(net.res_line_est.p_from_mw.values, net.res_line.p_from_mw.values, 1e-6)) + assert (np.allclose(net.res_line_est.q_from_mvar.values, net.res_line.q_from_mvar.values, 1e-6)) + assert (np.allclose(net.res_line_est.p_to_mw.values, net.res_line.p_to_mw.values, 1e-6)) + assert (np.allclose(net.res_line_est.q_to_mvar.values, net.res_line.q_to_mvar.values, 1e-6)) + if "trafo" in net and net.trafo.shape[0] > 0: + assert (np.allclose(net.res_trafo_est.p_lv_mw.values, net.res_trafo.p_lv_mw.values, 1e-6)) + assert (np.allclose(net.res_trafo_est.q_lv_mvar.values, net.res_trafo.q_lv_mvar.values, 1e-6)) + assert (np.allclose(net.res_trafo_est.p_hv_mw.values, net.res_trafo.p_hv_mw.values, 1e-6)) + assert (np.allclose(net.res_trafo_est.q_hv_mvar.values, net.res_trafo.q_hv_mvar.values, 1e-6)) + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) + diff --git a/pandapower/test/network_schema/__init__.py b/test/grid_equivalents/__init__.py similarity index 100% rename from pandapower/test/network_schema/__init__.py rename to test/grid_equivalents/__init__.py diff --git a/pandapower/test/grid_equivalents/test_get_equivalent.py b/test/grid_equivalents/test_get_equivalent.py similarity index 99% rename from pandapower/test/grid_equivalents/test_get_equivalent.py rename to test/grid_equivalents/test_get_equivalent.py index 2bc5ff4ab7..6e52e54907 100644 --- a/pandapower/test/grid_equivalents/test_get_equivalent.py +++ b/test/grid_equivalents/test_get_equivalent.py @@ -5,14 +5,13 @@ import pandas as pd import pytest -from pandapower import pp_dir from pandapower.control import ConstControl from pandapower.control.util.auxiliary import create_trafo_characteristic_object from pandapower.create import ( create_buses, create_ext_grid, create_poly_cost, create_line, create_load, create_sgen, create_pwl_cost, create_bus, create_switch, create_motor, create_group ) -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.grid_equivalents.auxiliary import replace_motor_by_load, _runpp_except_voltage_angles from pandapower.grid_equivalents.get_equivalent import get_equivalent, merge_internal_net_and_equivalent_external_net from pandapower.grid_equivalents.ward_generation import create_passive_external_net_for_ward_admittance @@ -30,6 +29,8 @@ from pandapower.toolbox.element_selection import pp_elements from pandapower.toolbox.grid_modification import select_subnet, replace_gen_by_sgen, replace_ext_grid_by_gen +from test import test_path + def create_test_net(): net = pandapowerNet(name="create_test_net") @@ -513,7 +514,7 @@ def test_controller(): net.load.name = ["load0", "load1", "load2", "load3"] # load time series - json_path = os.path.join(pp_dir, "test", "opf", "cigre_timeseries_15min.json") + json_path = os.path.join(test_path, "opf", "cigre_timeseries_15min.json") time_series = pd.read_json(json_path) time_series.sort_index(inplace=True) sgen_p = net["sgen"].loc[:, "p_mw"].values diff --git a/pandapower/test/grid_equivalents/test_get_equivalent_networks.py b/test/grid_equivalents/test_get_equivalent_networks.py similarity index 100% rename from pandapower/test/grid_equivalents/test_get_equivalent_networks.py rename to test/grid_equivalents/test_get_equivalent_networks.py diff --git a/pandapower/test/grid_equivalents/test_grid_equivalents_auxiliary.py b/test/grid_equivalents/test_grid_equivalents_auxiliary.py similarity index 97% rename from pandapower/test/grid_equivalents/test_grid_equivalents_auxiliary.py rename to test/grid_equivalents/test_grid_equivalents_auxiliary.py index b6fb2c1aab..b8829750ba 100644 --- a/pandapower/test/grid_equivalents/test_grid_equivalents_auxiliary.py +++ b/test/grid_equivalents/test_grid_equivalents_auxiliary.py @@ -1,7 +1,7 @@ import pytest import os import pandas as pd -from pandapower import pp_dir + from pandapower.run import runpp from pandapower.create import create_bus, create_transformer, create_transformer3w, create_dcline from pandapower.networks.create_examples import example_simple @@ -13,6 +13,7 @@ _check_network, get_boundary_vp, adaptation_phase_shifter, drop_internal_branch_elements from pandapower.grid_equivalents.get_equivalent import get_equivalent +from test import test_path def test_drop_internal_branch_elements(): net = example_simple() @@ -71,7 +72,7 @@ def test_drop_measurements_and_controllers(): assert len(net.measurement) == 6 # create controllers - json_path = os.path.join(pp_dir, "test", "opf", "cigre_timeseries_15min.json") + json_path = os.path.join(test_path, "opf", "cigre_timeseries_15min.json") time_series = pd.read_json(json_path) load_ts = pd.DataFrame(index=time_series.index.tolist(), columns=net.load.index.tolist()) gen_ts = pd.DataFrame(index=time_series.index.tolist(), columns=net.gen.index.tolist()) diff --git a/pandapower/test/grid_equivalents/test_grid_equivalents_toolbox.py b/test/grid_equivalents/test_grid_equivalents_toolbox.py similarity index 100% rename from pandapower/test/grid_equivalents/test_grid_equivalents_toolbox.py rename to test/grid_equivalents/test_grid_equivalents_toolbox.py diff --git a/pandapower/test/helper_functions.py b/test/helper_functions.py similarity index 95% rename from pandapower/test/helper_functions.py rename to test/helper_functions.py index 7980e5976c..5e4f7ebedd 100644 --- a/pandapower/test/helper_functions.py +++ b/test/helper_functions.py @@ -5,7 +5,7 @@ import os from copy import deepcopy -from pandapower import pp_dir, pandapowerNet +from pandapower.network import pandapowerNet from pandapower.auxiliary import get_free_id from pandapower.create import ( create_bus, create_ext_grid, create_transformer_from_parameters, create_line_from_parameters, create_load, @@ -14,6 +14,8 @@ from pandapower.file_io import from_pickle from pandapower.toolbox.comparison import nets_equal +from test import test_path + def assert_net_equal(net1, net2, **kwargs): """ @@ -71,7 +73,7 @@ def create_test_network(): def create_test_network2(): """Creates a simple pandapower test network """ - return from_pickle(os.path.join(pp_dir, "test", "loadflow", "testgrid.p")) + return from_pickle(os.path.join(test_path, "loadflow", "testgrid.p")) def add_grid_connection(net, vn_kv=20., zone=None): diff --git a/pandapower/test/loadflow/PF_Results.py b/test/loadflow/PF_Results.py similarity index 100% rename from pandapower/test/loadflow/PF_Results.py rename to test/loadflow/PF_Results.py diff --git a/pandapower/test/network_schema/elements/__init__.py b/test/loadflow/__init__.py similarity index 100% rename from pandapower/test/network_schema/elements/__init__.py rename to test/loadflow/__init__.py diff --git a/pandapower/test/loadflow/result_test_network_generator.py b/test/loadflow/result_test_network_generator.py similarity index 96% rename from pandapower/test/loadflow/result_test_network_generator.py rename to test/loadflow/result_test_network_generator.py index a987782151..7876b719e4 100644 --- a/pandapower/test/loadflow/result_test_network_generator.py +++ b/test/loadflow/result_test_network_generator.py @@ -1,640 +1,640 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import copy - -from pandapower.auxiliary import get_free_id -from pandapower.create import ( - create_load, - create_bus, - create_switch, - create_ext_grid, - create_gen, - create_sgen, - create_transformer_from_parameters, - create_ward, - create_xward, - create_line_from_parameters, - create_transformer3w_from_parameters, - create_impedance, - create_shunt, - create_shunt_as_capacitor, -) -from pandapower.networks import pandapowerNet -from pandapower.test.helper_functions import add_grid_connection, create_test_line - -def result_test_network_generator(sn_mva=1, skip_test_impedance=False): - """This is a generator for the result_test_network - It is structured like this so it can be tested for consistency at - different stages of adding elements - """ - net = pandapowerNet(name='result_test_network_generator', sn_mva=sn_mva) - add_test_line(net) - yield copy.deepcopy(net) - add_test_load_sgen(net) - yield copy.deepcopy(net) - add_test_load_sgen_split(net) - yield copy.deepcopy(net) - add_test_ext_grid(net) - yield copy.deepcopy(net) - add_test_trafo(net) - yield copy.deepcopy(net) - add_test_single_load_single_eg(net) - yield copy.deepcopy(net) - add_test_ward(net) - yield copy.deepcopy(net) - add_test_ward_split(net) - yield copy.deepcopy(net) - add_test_xward(net) - yield copy.deepcopy(net) - add_test_xward_combination(net) - yield copy.deepcopy(net) - add_test_gen(net) - yield copy.deepcopy(net) - add_test_ext_grid_gen_switch(net) - yield copy.deepcopy(net) - add_test_enforce_qlims(net) - yield copy.deepcopy(net) - add_test_trafo3w(net) - yield copy.deepcopy(net) - if not skip_test_impedance: - add_test_impedance(net) - yield copy.deepcopy(net) - add_test_bus_bus_switch(net) - yield copy.deepcopy(net) - add_test_oos_bus_with_is_element(net) - yield copy.deepcopy(net) - add_test_shunt(net) - yield copy.deepcopy(net) - add_test_shunt_split(net) - yield copy.deepcopy(net) - add_test_two_open_switches_on_deactive_line(net) - yield copy.deepcopy(net) - - -def result_test_network_generator_dcpp(sn_mva=1): - """This is a generator for the result_test_network - It is structured like this so it can be tested for consistency at - different stages of adding elements - """ - # ToDo: Uncommented tests fail in rundcpp -> Check why and correct it - - net = pandapowerNet(name='result_test_network_generator_dcpp', sn_mva=sn_mva) - yield add_test_line(net) - yield add_test_load_sgen(net) - yield add_test_load_sgen_split(net) - yield add_test_single_load_single_eg(net) - yield add_test_ward(net) - yield add_test_ward_split(net) - yield add_test_xward(net) - yield add_test_xward_combination(net) - yield add_test_bus_bus_switch(net) - yield add_test_shunt(net) - yield add_test_shunt_split(net) - - -def add_test_line(net): - b1, b2, l1 = add_grid_connection(net, zone="test_line") - net.line.at[l1, "parallel"] = 2 - net.line.at[l1, "g_us_per_km"] = 1 - create_load(net, b2, p_mw=1.2, q_mvar=1.1) - l2 = create_test_line(net, b1, b2) - net.line.at[l2, "g_us_per_km"] = 1 - create_switch(net, b2, l2, et="l", closed=False) - create_test_line(net, b1, b2, in_service=False) - net.last_added_case = "test_line" - return net - - -def add_test_ext_grid(net): - _, b2, _ = add_grid_connection(net, zone="test_ext_grid") - b3 = create_bus(net, vn_kv=20.0, zone="test_ext_grid") - create_test_line(net, b2, b3) - create_ext_grid(net, b3, vm_pu=1.02, va_degree=3.0) - return net - - -def add_test_ext_grid_gen_switch(net): - zone = "test_ext_grid_gen_switch" - vn_kv = 20.0 - b1 = create_bus(net, vn_kv=vn_kv, zone=zone) - b2 = create_bus(net, vn_kv=vn_kv, zone=zone) - b3 = create_bus(net, vn_kv=vn_kv, zone=zone) - b4 = create_bus(net, vn_kv=vn_kv, zone=zone) - b5 = create_bus(net, vn_kv=vn_kv, zone=zone) - - create_switch(net, bus=b1, element=b2, et="b") - create_test_line(net, b2, b3) - create_test_line(net, b3, b4) - create_switch(net, bus=b4, element=b5, et="b") - - create_ext_grid(net, bus=b1, vm_pu=1.01) - create_gen(net, bus=b5, vm_pu=1.015, p_mw=0.3) - return net - - -def add_test_load_sgen(net): - _, b2, _ = add_grid_connection(net, zone="test_load_sgen") - pl = 1.2 - ql = 1.1 - ps = 0.50 - qs = -0.1 - # load and sgen at one bus - create_load(net, b2, p_mw=pl, q_mvar=ql) - create_sgen(net, b2, p_mw=ps, q_mvar=qs) - # adding out of serivce loads and sgens should not change the result - create_load(net, b2, p_mw=pl, q_mvar=ql, in_service=False, index=get_free_id(net.load) + 1) - create_sgen(net, b2, p_mw=ps, q_mvar=qs, in_service=False, index=get_free_id(net.sgen) + 1) - net.last_added_case = "test_load_sgen" - return net - - -def add_test_load_sgen_split(net): - _, b2, _ = add_grid_connection(net, zone="test_load_sgen_split") - nr = 2 - pl = 1.2 - ql = 1.1 - ps = 0.5 - qs = -0.1 - for _ in range(nr): - create_load(net, b2, p_mw=pl, q_mvar=ql, scaling=1.0 / nr) - create_sgen(net, b2, p_mw=ps, q_mvar=qs, scaling=1.0 / nr) - net.last_added_case = "test_load_sgen_split" - return net - - -def add_test_trafo(net): - _, b2, _ = add_grid_connection(net, zone="test_trafo") - b3 = create_bus(net, vn_kv=0.4, zone="test_trafo") - create_transformer_from_parameters( - net, - b2, - b3, - vk_percent=5.0, - vkr_percent=2.0, - i0_percent=0.4, - pfe_kw=2.0, - sn_mva=0.4, - vn_hv_kv=22, - vn_lv_kv=0.42, - tap_max=10, - tap_neutral=5, - tap_min=0, - tap_step_percent=1.25, - tap_pos=3, - tap_changer_type="Ratio", - shift_degree=150, - tap_side="hv", - parallel=2, - ) - t2 = create_transformer_from_parameters( - net, - b2, - b3, - vk_percent=5.0, - vkr_percent=2.0, - i0_percent=0.4, - pfe_kw=2, - sn_mva=0.4, - vn_hv_kv=22, - vn_lv_kv=0.42, - tap_max=10, - tap_neutral=5, - tap_min=0, - tap_step_percent=1.25, - tap_pos=3, - tap_changer_type="Ratio", - tap_side="hv", - shift_degree=150, - index=get_free_id(net.trafo) + 1, - ) - create_switch(net, b3, t2, et="t", closed=False) - create_transformer_from_parameters( - net, - b2, - b3, - vk_percent=5.0, - vkr_percent=2.0, - i0_percent=1.0, - pfe_kw=20, - sn_mva=0.4, - vn_hv_kv=20, - vn_lv_kv=0.4, - in_service=False, - ) - create_load(net, b3, p_mw=0.2, q_mvar=0.05) - net.last_added_case = "test_trafo" - return net - - -def add_test_single_load_single_eg(net): - b1 = create_bus(net, vn_kv=20.0, zone="test_single_load_single_eg") - create_ext_grid(net, b1) - create_load(net, b1, p_mw=0.1, q_mvar=0.1) - net.last_added_case = "test_single_load_single_eg" - return net - - -def add_test_ward(net): - _, b2, _ = add_grid_connection(net, zone="test_ward") - - pz = 1.2 - qz = 1.1 - ps = 0.5 - qs = 0.2 - # one shunt at a bus - create_ward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs) - # add out of service ward shuold not change the result - create_ward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs, in_service=False, index=get_free_id(net.ward) + 1) - net.last_added_case = "test_ward" - return net - - -def add_test_ward_split(net): - # splitting up the wards should not change results - pz = 1.2 - qz = 1.1 - ps = 0.5 - qs = 0.2 - _, b2, _ = add_grid_connection(net, zone="test_ward_split") - create_ward(net, b2, pz_mw=pz / 2, qz_mvar=qz / 2, ps_mw=ps / 2, qs_mvar=qs / 2) - create_ward(net, b2, pz_mw=pz / 2, qz_mvar=qz / 2, ps_mw=ps / 2, qs_mvar=qs / 2) - net.last_added_case = "test_ward_split" - return net - - -def add_test_xward(net): - _, b2, _ = add_grid_connection(net, zone="test_xward") - pz = 1.200 - qz = 1.100 - ps = 0.500 - qs = 0.200 - vm_pu = 1.06 - r_ohm = 50 - x_ohm = 70 - # one xward at a bus - create_xward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs, vm_pu=vm_pu, x_ohm=x_ohm, r_ohm=r_ohm) - # add out of service xward should not change the result - create_xward( - net, - b2, - pz_mw=pz, - qz_mvar=qz, - ps_mw=ps, - qs_mvar=qs, - vm_pu=vm_pu, - x_ohm=x_ohm, - r_ohm=r_ohm, - in_service=False, - index=get_free_id(net.xward) + 1, - ) - net.last_added_case = "test_xward" - return net - - -def add_test_xward_combination(net): - _, b2, _ = add_grid_connection(net, zone="test_xward_combination") - - pz = 1.200 - qz = 1.100 - ps = 0.500 - qs = 0.200 - vm_pu = 1.06 - r_ohm = 50 - x_ohm = 70 - # one xward at a bus - create_xward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs, vm_pu=vm_pu, x_ohm=x_ohm, r_ohm=r_ohm) - # add out of service xward should not change the result - create_xward( - net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs, vm_pu=vm_pu, x_ohm=x_ohm, r_ohm=r_ohm, in_service=False - ) - # add second xward at the bus - create_xward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs, vm_pu=vm_pu, x_ohm=x_ohm, r_ohm=r_ohm) - net.last_added_case = "test_xward_combination" - return net - - -def add_test_gen(net): - _, b2, _ = add_grid_connection(net, zone="test_gen") - pl = 1.200 - ql = 1.100 - ps = 0.500 - vm_set_pu = 1.0 - - b3 = create_bus(net, zone="test_gen", vn_kv=0.4) - create_line_from_parameters( - net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 - ) - - create_load(net, b3, p_mw=pl, q_mvar=ql) - create_gen(net, b3, p_mw=ps, vm_pu=vm_set_pu) - # adding out of service gens should not change the result - create_gen(net, b2, p_mw=ps, vm_pu=vm_set_pu, in_service=False, index=get_free_id(net.gen) + 1) - - net.last_added_case = "test_gen" - return net - - -def add_test_enforce_qlims(net): - _, b2, _ = add_grid_connection(net, zone="test_enforce_qlims") - pl = 1.200 - ql = 1.100 - ps = 0.500 - qmin = -0.200 - vm_set_pu = 1.0 - - b3 = create_bus(net, zone="test_enforce_qlims", vn_kv=0.4) - create_line_from_parameters( - net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 - ) - - create_load(net, b3, p_mw=pl, q_mvar=ql) - create_gen(net, b3, p_mw=ps, vm_pu=vm_set_pu, min_q_mvar=qmin) - - net.last_added_case = "test_enforce_qlims" - return net - - -def add_test_enforce_plims(net): - _, b2, _ = add_grid_connection(net, zone="test_enforce_plims") - pl = 1.200 - ql = 1.100 - ps = 0.200 - pmin = 0.500 - vm_set_pu = 1.0 - - b3 = create_bus(net, zone="test_enforce_plims", vn_kv=0.4) - create_line_from_parameters( - net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 - ) - create_load(net, b3, p_mw=pl, q_mvar=ql) - create_gen(net, b3, p_mw=ps, vm_pu=vm_set_pu, min_p_mw=pmin) - - net.last_added_case = "test_enforce_plims" - return net - - -def add_test_enforce_qlims_sgen(net): - _, b2, _ = add_grid_connection(net, zone="test_enforce_qlims_sgen") - pl = 1.200 - ql = 1.100 - ps = 0.500 - qs = 0.500 - qmax = 0.200 - - b3 = create_bus(net, zone="test_enforce_qlims_sgen", vn_kv=0.4) - create_line_from_parameters( - net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 - ) - create_load(net, b3, p_mw=pl, q_mvar=ql) - create_sgen(net, b3, p_mw=ps, q_mvar=qs, max_q_mvar=qmax) - - net.last_added_case = "test_enforce_qlims_sgen" - return net - - -def add_test_enforce_plims_sgen(net): - _, b2, _ = add_grid_connection(net, zone="test_enforce_plims_sgen") - pl = 1.200 - ql = 1.100 - ps = 0.500 - qs = 0.500 - pmax = 0.200 - - b3 = create_bus(net, zone="test_enforce_plims_sgen", vn_kv=0.4) - create_line_from_parameters( - net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 - ) - create_load(net, b3, p_mw=pl, q_mvar=ql) - create_sgen(net, b3, p_mw=ps, q_mvar=qs, max_p_mw=pmax) - - net.last_added_case = "test_enforce_plims_sgen" - return net - - -def add_test_trafo3w(net): - _, b2, _ = add_grid_connection(net, zone="test_trafo3w") - b3 = create_bus(net, vn_kv=0.6, zone="test_trafo3w") - create_load(net, b3, p_mw=0.2, q_mvar=0) - b4 = create_bus(net, vn_kv=0.4, zone="test_trafo3w") - create_load(net, b4, p_mw=0.1, q_mvar=0) - - create_transformer3w_from_parameters( - net, - hv_bus=b2, - mv_bus=b3, - lv_bus=b4, - vn_hv_kv=22, - vn_mv_kv=0.64, - vn_lv_kv=0.42, - sn_hv_mva=1, - sn_mv_mva=0.7, - sn_lv_mva=0.3, - vk_hv_percent=1.0, - vkr_hv_percent=0.03, - vk_mv_percent=0.5, - vkr_mv_percent=0.02, - vk_lv_percent=0.25, - vkr_lv_percent=0.01, - pfe_kw=0.5, - i0_percent=0.1, - name="test", - index=get_free_id(net.trafo3w) + 1, - tap_side="hv", - tap_pos=2, - tap_changer_type="Ratio", - tap_step_percent=1.25, - tap_min=-5, - tap_neutral=0, - tap_max=5, - ) - # adding out of service 3w trafo should not change results - create_transformer3w_from_parameters( - net, - hv_bus=b2, - mv_bus=b3, - lv_bus=b4, - vn_hv_kv=20, - vn_mv_kv=0.6, - vn_lv_kv=0.4, - sn_hv_mva=1, - sn_mv_mva=0.7, - sn_lv_mva=0.3, - vk_hv_percent=2.0, - vkr_hv_percent=0.3, - vk_mv_percent=1.0, - vkr_mv_percent=0.2, - vk_lv_percent=0.5, - vkr_lv_percent=0.1, - pfe_kw=50, - i0_percent=1.0, - name="test", - in_service=False, - index=get_free_id(net.trafo3w) + 1, - ) - net.last_added_case = "test_trafo3w" - return net - - -def add_test_impedance(net): - _, b2, _ = add_grid_connection(net, zone="test_impedance") - b3 = create_bus(net, vn_kv=220.0, zone="test_impedance") - rij = 0.02 - xij = 0.01 - rji = 0.03 - xji = 0.005 - s = 2.0 - - pl = 1 - ql = 0.5 - - create_impedance( - net, b2, b3, rft_pu=rij, xft_pu=xij, rtf_pu=rji, xtf_pu=xji, sn_mva=s, index=get_free_id(net.impedance) + 1 - ) - create_impedance( - net, - b2, - b3, - rft_pu=rij, - xft_pu=xij, - rtf_pu=rji, - xtf_pu=xji, - sn_mva=s, - index=get_free_id(net.impedance) + 1, - in_service=False, - ) - create_load(net, b3, p_mw=pl, q_mvar=ql) - net.last_added_case = "test_impedance" - return net - - -def add_test_bus_bus_switch(net): - _, b2, _ = add_grid_connection(net, zone="test_bus_bus_switch") - b3 = create_bus(net, vn_kv=20.0, zone="test_bus_bus_switch") - create_switch(net, b2, b3, et="b") - - pl = 1 - ql = 0.5 - - psg = 0.500 - qsg = -0.100 - - pz = 1.200 - qz = 1.100 - ps = 0.500 - qs = 0.200 - - vm_pu = 1.06 - r_ohm = 50 - x_ohm = 70 - - create_load(net, b2, p_mw=pl, q_mvar=ql) - create_load(net, b3, p_mw=pl, q_mvar=ql, scaling=0.5) - - create_sgen(net, b2, p_mw=psg, q_mvar=qsg) - create_sgen(net, b3, p_mw=psg, q_mvar=qsg, scaling=0.5) - - create_ward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs) - create_ward(net, b3, pz_mw=0.5 * pz, qz_mvar=0.5 * qz, ps_mw=0.5 * ps, qs_mvar=0.5 * qs) - - create_xward( - net, - b3, - pz_mw=0.5 * pz, - qz_mvar=0.5 * qz, - ps_mw=0.5 * ps, - qs_mvar=0.5 * qs, - vm_pu=vm_pu, - x_ohm=x_ohm, - r_ohm=r_ohm, - ) - create_xward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs, vm_pu=vm_pu, x_ohm=x_ohm, r_ohm=r_ohm) - net.last_added_case = "test_bus_bus_switch" - return net - - -def add_test_oos_bus_with_is_element(net): - _, b2, _ = add_grid_connection(net, zone="test_oos_bus_with_is_element") - - pl = 1.200 - ql = 1.100 - ps = -0.500 - vm_set_pu = 1.0 - - pz = 1.200 - qz = 1.100 - qs = 0.200 - - vm_pu = 1.06 - r_ohm = 50 - x_ohm = 70 - - # OOS buses - b3 = create_bus(net, zone="test_oos_bus_with_is_element", vn_kv=0.4, in_service=False) - b4 = create_bus(net, zone="test_oos_bus_with_is_element", vn_kv=0.4, in_service=False) - b5 = create_bus(net, zone="test_oos_bus_with_is_element", vn_kv=0.4, in_service=False) - - create_line_from_parameters( - net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 - ) - create_line_from_parameters( - net, b2, b4, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 - ) - create_line_from_parameters( - net, b2, b5, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 - ) - - # in service elements - create_load(net, b3, p_mw=pl, q_mvar=ql) - create_gen(net, b4, p_mw=ps, vm_pu=vm_set_pu) - create_sgen(net, b5, p_mw=ps, q_mvar=ql) - create_ward(net, b3, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs) - create_xward( - net, - b4, - pz_mw=0.5 * pz, - qz_mvar=0.5 * qz, - ps_mw=0.5 * ps, - qs_mvar=0.5 * qs, - vm_pu=vm_pu, - x_ohm=x_ohm, - r_ohm=r_ohm, - ) - create_shunt(net, b5, q_mvar=-800, p_mw=0) - - net.last_added_case = "test_oos_bus_with_is_element" - return net - - -def add_test_shunt(net): - _, b2, _ = add_grid_connection(net, zone="test_shunt") - pz = 0.12 - qz = -1.2 - # one shunt at a bus - create_shunt_as_capacitor(net, b2, q_mvar=1.2, loss_factor=0.1, vn_kv=22.0, step=2) - # add out of service shunt shuold not change the result - create_shunt(net, b2, p_mw=pz, q_mvar=qz, in_service=False) - net.last_added_case = "test_shunt" - return net - - -def add_test_shunt_split(net): - _, b2, _ = add_grid_connection(net, zone="test_shunt_split") - pz = 0.120 - qz = -1.200 - # one shunt at a bus - create_shunt(net, b2, p_mw=pz / 2, q_mvar=qz / 2) - create_shunt(net, b2, p_mw=pz / 2, q_mvar=qz / 2) - net.last_added_case = "test_shunt_split" - return net - - -def add_test_two_open_switches_on_deactive_line(net): - b1, b2, _ = add_grid_connection(net, zone="two_open_switches_on_deactive_line") - b3 = create_bus(net, vn_kv=20.0, zone="two_open_switches_on_deactive_line") - l2 = create_test_line(net, b2, b3, in_service=False) - create_test_line(net, b3, b1) - create_switch(net, b2, l2, et="l", closed=False) - create_switch(net, b3, l2, et="l", closed=False) - net.last_added_case = "test_two_open_switches_on_deactive_line" - return net +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import copy + +from pandapower.auxiliary import get_free_id +from pandapower.create import ( + create_load, + create_bus, + create_switch, + create_ext_grid, + create_gen, + create_sgen, + create_transformer_from_parameters, + create_ward, + create_xward, + create_line_from_parameters, + create_transformer3w_from_parameters, + create_impedance, + create_shunt, + create_shunt_as_capacitor, +) +from pandapower.networks import pandapowerNet +from test.helper_functions import add_grid_connection, create_test_line + +def result_test_network_generator(sn_mva=1, skip_test_impedance=False): + """This is a generator for the result_test_network + It is structured like this so it can be tested for consistency at + different stages of adding elements + """ + net = pandapowerNet(name='result_test_network_generator', sn_mva=sn_mva) + add_test_line(net) + yield copy.deepcopy(net) + add_test_load_sgen(net) + yield copy.deepcopy(net) + add_test_load_sgen_split(net) + yield copy.deepcopy(net) + add_test_ext_grid(net) + yield copy.deepcopy(net) + add_test_trafo(net) + yield copy.deepcopy(net) + add_test_single_load_single_eg(net) + yield copy.deepcopy(net) + add_test_ward(net) + yield copy.deepcopy(net) + add_test_ward_split(net) + yield copy.deepcopy(net) + add_test_xward(net) + yield copy.deepcopy(net) + add_test_xward_combination(net) + yield copy.deepcopy(net) + add_test_gen(net) + yield copy.deepcopy(net) + add_test_ext_grid_gen_switch(net) + yield copy.deepcopy(net) + add_test_enforce_qlims(net) + yield copy.deepcopy(net) + add_test_trafo3w(net) + yield copy.deepcopy(net) + if not skip_test_impedance: + add_test_impedance(net) + yield copy.deepcopy(net) + add_test_bus_bus_switch(net) + yield copy.deepcopy(net) + add_test_oos_bus_with_is_element(net) + yield copy.deepcopy(net) + add_test_shunt(net) + yield copy.deepcopy(net) + add_test_shunt_split(net) + yield copy.deepcopy(net) + add_test_two_open_switches_on_deactive_line(net) + yield copy.deepcopy(net) + + +def result_test_network_generator_dcpp(sn_mva=1): + """This is a generator for the result_test_network + It is structured like this so it can be tested for consistency at + different stages of adding elements + """ + # ToDo: Uncommented tests fail in rundcpp -> Check why and correct it + + net = pandapowerNet(name='result_test_network_generator_dcpp', sn_mva=sn_mva) + yield add_test_line(net) + yield add_test_load_sgen(net) + yield add_test_load_sgen_split(net) + yield add_test_single_load_single_eg(net) + yield add_test_ward(net) + yield add_test_ward_split(net) + yield add_test_xward(net) + yield add_test_xward_combination(net) + yield add_test_bus_bus_switch(net) + yield add_test_shunt(net) + yield add_test_shunt_split(net) + + +def add_test_line(net): + b1, b2, l1 = add_grid_connection(net, zone="test_line") + net.line.at[l1, "parallel"] = 2 + net.line.at[l1, "g_us_per_km"] = 1 + create_load(net, b2, p_mw=1.2, q_mvar=1.1) + l2 = create_test_line(net, b1, b2) + net.line.at[l2, "g_us_per_km"] = 1 + create_switch(net, b2, l2, et="l", closed=False) + create_test_line(net, b1, b2, in_service=False) + net.last_added_case = "test_line" + return net + + +def add_test_ext_grid(net): + _, b2, _ = add_grid_connection(net, zone="test_ext_grid") + b3 = create_bus(net, vn_kv=20.0, zone="test_ext_grid") + create_test_line(net, b2, b3) + create_ext_grid(net, b3, vm_pu=1.02, va_degree=3.0) + return net + + +def add_test_ext_grid_gen_switch(net): + zone = "test_ext_grid_gen_switch" + vn_kv = 20.0 + b1 = create_bus(net, vn_kv=vn_kv, zone=zone) + b2 = create_bus(net, vn_kv=vn_kv, zone=zone) + b3 = create_bus(net, vn_kv=vn_kv, zone=zone) + b4 = create_bus(net, vn_kv=vn_kv, zone=zone) + b5 = create_bus(net, vn_kv=vn_kv, zone=zone) + + create_switch(net, bus=b1, element=b2, et="b") + create_test_line(net, b2, b3) + create_test_line(net, b3, b4) + create_switch(net, bus=b4, element=b5, et="b") + + create_ext_grid(net, bus=b1, vm_pu=1.01) + create_gen(net, bus=b5, vm_pu=1.015, p_mw=0.3) + return net + + +def add_test_load_sgen(net): + _, b2, _ = add_grid_connection(net, zone="test_load_sgen") + pl = 1.2 + ql = 1.1 + ps = 0.50 + qs = -0.1 + # load and sgen at one bus + create_load(net, b2, p_mw=pl, q_mvar=ql) + create_sgen(net, b2, p_mw=ps, q_mvar=qs) + # adding out of serivce loads and sgens should not change the result + create_load(net, b2, p_mw=pl, q_mvar=ql, in_service=False, index=get_free_id(net.load) + 1) + create_sgen(net, b2, p_mw=ps, q_mvar=qs, in_service=False, index=get_free_id(net.sgen) + 1) + net.last_added_case = "test_load_sgen" + return net + + +def add_test_load_sgen_split(net): + _, b2, _ = add_grid_connection(net, zone="test_load_sgen_split") + nr = 2 + pl = 1.2 + ql = 1.1 + ps = 0.5 + qs = -0.1 + for _ in range(nr): + create_load(net, b2, p_mw=pl, q_mvar=ql, scaling=1.0 / nr) + create_sgen(net, b2, p_mw=ps, q_mvar=qs, scaling=1.0 / nr) + net.last_added_case = "test_load_sgen_split" + return net + + +def add_test_trafo(net): + _, b2, _ = add_grid_connection(net, zone="test_trafo") + b3 = create_bus(net, vn_kv=0.4, zone="test_trafo") + create_transformer_from_parameters( + net, + b2, + b3, + vk_percent=5.0, + vkr_percent=2.0, + i0_percent=0.4, + pfe_kw=2.0, + sn_mva=0.4, + vn_hv_kv=22, + vn_lv_kv=0.42, + tap_max=10, + tap_neutral=5, + tap_min=0, + tap_step_percent=1.25, + tap_pos=3, + tap_changer_type="Ratio", + shift_degree=150, + tap_side="hv", + parallel=2, + ) + t2 = create_transformer_from_parameters( + net, + b2, + b3, + vk_percent=5.0, + vkr_percent=2.0, + i0_percent=0.4, + pfe_kw=2, + sn_mva=0.4, + vn_hv_kv=22, + vn_lv_kv=0.42, + tap_max=10, + tap_neutral=5, + tap_min=0, + tap_step_percent=1.25, + tap_pos=3, + tap_changer_type="Ratio", + tap_side="hv", + shift_degree=150, + index=get_free_id(net.trafo) + 1, + ) + create_switch(net, b3, t2, et="t", closed=False) + create_transformer_from_parameters( + net, + b2, + b3, + vk_percent=5.0, + vkr_percent=2.0, + i0_percent=1.0, + pfe_kw=20, + sn_mva=0.4, + vn_hv_kv=20, + vn_lv_kv=0.4, + in_service=False, + ) + create_load(net, b3, p_mw=0.2, q_mvar=0.05) + net.last_added_case = "test_trafo" + return net + + +def add_test_single_load_single_eg(net): + b1 = create_bus(net, vn_kv=20.0, zone="test_single_load_single_eg") + create_ext_grid(net, b1) + create_load(net, b1, p_mw=0.1, q_mvar=0.1) + net.last_added_case = "test_single_load_single_eg" + return net + + +def add_test_ward(net): + _, b2, _ = add_grid_connection(net, zone="test_ward") + + pz = 1.2 + qz = 1.1 + ps = 0.5 + qs = 0.2 + # one shunt at a bus + create_ward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs) + # add out of service ward shuold not change the result + create_ward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs, in_service=False, index=get_free_id(net.ward) + 1) + net.last_added_case = "test_ward" + return net + + +def add_test_ward_split(net): + # splitting up the wards should not change results + pz = 1.2 + qz = 1.1 + ps = 0.5 + qs = 0.2 + _, b2, _ = add_grid_connection(net, zone="test_ward_split") + create_ward(net, b2, pz_mw=pz / 2, qz_mvar=qz / 2, ps_mw=ps / 2, qs_mvar=qs / 2) + create_ward(net, b2, pz_mw=pz / 2, qz_mvar=qz / 2, ps_mw=ps / 2, qs_mvar=qs / 2) + net.last_added_case = "test_ward_split" + return net + + +def add_test_xward(net): + _, b2, _ = add_grid_connection(net, zone="test_xward") + pz = 1.200 + qz = 1.100 + ps = 0.500 + qs = 0.200 + vm_pu = 1.06 + r_ohm = 50 + x_ohm = 70 + # one xward at a bus + create_xward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs, vm_pu=vm_pu, x_ohm=x_ohm, r_ohm=r_ohm) + # add out of service xward should not change the result + create_xward( + net, + b2, + pz_mw=pz, + qz_mvar=qz, + ps_mw=ps, + qs_mvar=qs, + vm_pu=vm_pu, + x_ohm=x_ohm, + r_ohm=r_ohm, + in_service=False, + index=get_free_id(net.xward) + 1, + ) + net.last_added_case = "test_xward" + return net + + +def add_test_xward_combination(net): + _, b2, _ = add_grid_connection(net, zone="test_xward_combination") + + pz = 1.200 + qz = 1.100 + ps = 0.500 + qs = 0.200 + vm_pu = 1.06 + r_ohm = 50 + x_ohm = 70 + # one xward at a bus + create_xward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs, vm_pu=vm_pu, x_ohm=x_ohm, r_ohm=r_ohm) + # add out of service xward should not change the result + create_xward( + net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs, vm_pu=vm_pu, x_ohm=x_ohm, r_ohm=r_ohm, in_service=False + ) + # add second xward at the bus + create_xward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs, vm_pu=vm_pu, x_ohm=x_ohm, r_ohm=r_ohm) + net.last_added_case = "test_xward_combination" + return net + + +def add_test_gen(net): + _, b2, _ = add_grid_connection(net, zone="test_gen") + pl = 1.200 + ql = 1.100 + ps = 0.500 + vm_set_pu = 1.0 + + b3 = create_bus(net, zone="test_gen", vn_kv=0.4) + create_line_from_parameters( + net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 + ) + + create_load(net, b3, p_mw=pl, q_mvar=ql) + create_gen(net, b3, p_mw=ps, vm_pu=vm_set_pu) + # adding out of service gens should not change the result + create_gen(net, b2, p_mw=ps, vm_pu=vm_set_pu, in_service=False, index=get_free_id(net.gen) + 1) + + net.last_added_case = "test_gen" + return net + + +def add_test_enforce_qlims(net): + _, b2, _ = add_grid_connection(net, zone="test_enforce_qlims") + pl = 1.200 + ql = 1.100 + ps = 0.500 + qmin = -0.200 + vm_set_pu = 1.0 + + b3 = create_bus(net, zone="test_enforce_qlims", vn_kv=0.4) + create_line_from_parameters( + net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 + ) + + create_load(net, b3, p_mw=pl, q_mvar=ql) + create_gen(net, b3, p_mw=ps, vm_pu=vm_set_pu, min_q_mvar=qmin) + + net.last_added_case = "test_enforce_qlims" + return net + + +def add_test_enforce_plims(net): + _, b2, _ = add_grid_connection(net, zone="test_enforce_plims") + pl = 1.200 + ql = 1.100 + ps = 0.200 + pmin = 0.500 + vm_set_pu = 1.0 + + b3 = create_bus(net, zone="test_enforce_plims", vn_kv=0.4) + create_line_from_parameters( + net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 + ) + create_load(net, b3, p_mw=pl, q_mvar=ql) + create_gen(net, b3, p_mw=ps, vm_pu=vm_set_pu, min_p_mw=pmin) + + net.last_added_case = "test_enforce_plims" + return net + + +def add_test_enforce_qlims_sgen(net): + _, b2, _ = add_grid_connection(net, zone="test_enforce_qlims_sgen") + pl = 1.200 + ql = 1.100 + ps = 0.500 + qs = 0.500 + qmax = 0.200 + + b3 = create_bus(net, zone="test_enforce_qlims_sgen", vn_kv=0.4) + create_line_from_parameters( + net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 + ) + create_load(net, b3, p_mw=pl, q_mvar=ql) + create_sgen(net, b3, p_mw=ps, q_mvar=qs, max_q_mvar=qmax) + + net.last_added_case = "test_enforce_qlims_sgen" + return net + + +def add_test_enforce_plims_sgen(net): + _, b2, _ = add_grid_connection(net, zone="test_enforce_plims_sgen") + pl = 1.200 + ql = 1.100 + ps = 0.500 + qs = 0.500 + pmax = 0.200 + + b3 = create_bus(net, zone="test_enforce_plims_sgen", vn_kv=0.4) + create_line_from_parameters( + net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 + ) + create_load(net, b3, p_mw=pl, q_mvar=ql) + create_sgen(net, b3, p_mw=ps, q_mvar=qs, max_p_mw=pmax) + + net.last_added_case = "test_enforce_plims_sgen" + return net + + +def add_test_trafo3w(net): + _, b2, _ = add_grid_connection(net, zone="test_trafo3w") + b3 = create_bus(net, vn_kv=0.6, zone="test_trafo3w") + create_load(net, b3, p_mw=0.2, q_mvar=0) + b4 = create_bus(net, vn_kv=0.4, zone="test_trafo3w") + create_load(net, b4, p_mw=0.1, q_mvar=0) + + create_transformer3w_from_parameters( + net, + hv_bus=b2, + mv_bus=b3, + lv_bus=b4, + vn_hv_kv=22, + vn_mv_kv=0.64, + vn_lv_kv=0.42, + sn_hv_mva=1, + sn_mv_mva=0.7, + sn_lv_mva=0.3, + vk_hv_percent=1.0, + vkr_hv_percent=0.03, + vk_mv_percent=0.5, + vkr_mv_percent=0.02, + vk_lv_percent=0.25, + vkr_lv_percent=0.01, + pfe_kw=0.5, + i0_percent=0.1, + name="test", + index=get_free_id(net.trafo3w) + 1, + tap_side="hv", + tap_pos=2, + tap_changer_type="Ratio", + tap_step_percent=1.25, + tap_min=-5, + tap_neutral=0, + tap_max=5, + ) + # adding out of service 3w trafo should not change results + create_transformer3w_from_parameters( + net, + hv_bus=b2, + mv_bus=b3, + lv_bus=b4, + vn_hv_kv=20, + vn_mv_kv=0.6, + vn_lv_kv=0.4, + sn_hv_mva=1, + sn_mv_mva=0.7, + sn_lv_mva=0.3, + vk_hv_percent=2.0, + vkr_hv_percent=0.3, + vk_mv_percent=1.0, + vkr_mv_percent=0.2, + vk_lv_percent=0.5, + vkr_lv_percent=0.1, + pfe_kw=50, + i0_percent=1.0, + name="test", + in_service=False, + index=get_free_id(net.trafo3w) + 1, + ) + net.last_added_case = "test_trafo3w" + return net + + +def add_test_impedance(net): + _, b2, _ = add_grid_connection(net, zone="test_impedance") + b3 = create_bus(net, vn_kv=220.0, zone="test_impedance") + rij = 0.02 + xij = 0.01 + rji = 0.03 + xji = 0.005 + s = 2.0 + + pl = 1 + ql = 0.5 + + create_impedance( + net, b2, b3, rft_pu=rij, xft_pu=xij, rtf_pu=rji, xtf_pu=xji, sn_mva=s, index=get_free_id(net.impedance) + 1 + ) + create_impedance( + net, + b2, + b3, + rft_pu=rij, + xft_pu=xij, + rtf_pu=rji, + xtf_pu=xji, + sn_mva=s, + index=get_free_id(net.impedance) + 1, + in_service=False, + ) + create_load(net, b3, p_mw=pl, q_mvar=ql) + net.last_added_case = "test_impedance" + return net + + +def add_test_bus_bus_switch(net): + _, b2, _ = add_grid_connection(net, zone="test_bus_bus_switch") + b3 = create_bus(net, vn_kv=20.0, zone="test_bus_bus_switch") + create_switch(net, b2, b3, et="b") + + pl = 1 + ql = 0.5 + + psg = 0.500 + qsg = -0.100 + + pz = 1.200 + qz = 1.100 + ps = 0.500 + qs = 0.200 + + vm_pu = 1.06 + r_ohm = 50 + x_ohm = 70 + + create_load(net, b2, p_mw=pl, q_mvar=ql) + create_load(net, b3, p_mw=pl, q_mvar=ql, scaling=0.5) + + create_sgen(net, b2, p_mw=psg, q_mvar=qsg) + create_sgen(net, b3, p_mw=psg, q_mvar=qsg, scaling=0.5) + + create_ward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs) + create_ward(net, b3, pz_mw=0.5 * pz, qz_mvar=0.5 * qz, ps_mw=0.5 * ps, qs_mvar=0.5 * qs) + + create_xward( + net, + b3, + pz_mw=0.5 * pz, + qz_mvar=0.5 * qz, + ps_mw=0.5 * ps, + qs_mvar=0.5 * qs, + vm_pu=vm_pu, + x_ohm=x_ohm, + r_ohm=r_ohm, + ) + create_xward(net, b2, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs, vm_pu=vm_pu, x_ohm=x_ohm, r_ohm=r_ohm) + net.last_added_case = "test_bus_bus_switch" + return net + + +def add_test_oos_bus_with_is_element(net): + _, b2, _ = add_grid_connection(net, zone="test_oos_bus_with_is_element") + + pl = 1.200 + ql = 1.100 + ps = -0.500 + vm_set_pu = 1.0 + + pz = 1.200 + qz = 1.100 + qs = 0.200 + + vm_pu = 1.06 + r_ohm = 50 + x_ohm = 70 + + # OOS buses + b3 = create_bus(net, zone="test_oos_bus_with_is_element", vn_kv=0.4, in_service=False) + b4 = create_bus(net, zone="test_oos_bus_with_is_element", vn_kv=0.4, in_service=False) + b5 = create_bus(net, zone="test_oos_bus_with_is_element", vn_kv=0.4, in_service=False) + + create_line_from_parameters( + net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 + ) + create_line_from_parameters( + net, b2, b4, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 + ) + create_line_from_parameters( + net, b2, b5, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 + ) + + # in service elements + create_load(net, b3, p_mw=pl, q_mvar=ql) + create_gen(net, b4, p_mw=ps, vm_pu=vm_set_pu) + create_sgen(net, b5, p_mw=ps, q_mvar=ql) + create_ward(net, b3, pz_mw=pz, qz_mvar=qz, ps_mw=ps, qs_mvar=qs) + create_xward( + net, + b4, + pz_mw=0.5 * pz, + qz_mvar=0.5 * qz, + ps_mw=0.5 * ps, + qs_mvar=0.5 * qs, + vm_pu=vm_pu, + x_ohm=x_ohm, + r_ohm=r_ohm, + ) + create_shunt(net, b5, q_mvar=-800, p_mw=0) + + net.last_added_case = "test_oos_bus_with_is_element" + return net + + +def add_test_shunt(net): + _, b2, _ = add_grid_connection(net, zone="test_shunt") + pz = 0.12 + qz = -1.2 + # one shunt at a bus + create_shunt_as_capacitor(net, b2, q_mvar=1.2, loss_factor=0.1, vn_kv=22.0, step=2) + # add out of service shunt shuold not change the result + create_shunt(net, b2, p_mw=pz, q_mvar=qz, in_service=False) + net.last_added_case = "test_shunt" + return net + + +def add_test_shunt_split(net): + _, b2, _ = add_grid_connection(net, zone="test_shunt_split") + pz = 0.120 + qz = -1.200 + # one shunt at a bus + create_shunt(net, b2, p_mw=pz / 2, q_mvar=qz / 2) + create_shunt(net, b2, p_mw=pz / 2, q_mvar=qz / 2) + net.last_added_case = "test_shunt_split" + return net + + +def add_test_two_open_switches_on_deactive_line(net): + b1, b2, _ = add_grid_connection(net, zone="two_open_switches_on_deactive_line") + b3 = create_bus(net, vn_kv=20.0, zone="two_open_switches_on_deactive_line") + l2 = create_test_line(net, b2, b3, in_service=False) + create_test_line(net, b3, b1) + create_switch(net, b2, l2, et="l", closed=False) + create_switch(net, b3, l2, et="l", closed=False) + net.last_added_case = "test_two_open_switches_on_deactive_line" + return net diff --git a/pandapower/test/loadflow/runpp_3ph Validation.json b/test/loadflow/runpp_3ph Validation.json similarity index 100% rename from pandapower/test/loadflow/runpp_3ph Validation.json rename to test/loadflow/runpp_3ph Validation.json diff --git a/pandapower/test/loadflow/test_PTDF_LODF.py b/test/loadflow/test_PTDF_LODF.py similarity index 97% rename from pandapower/test/loadflow/test_PTDF_LODF.py rename to test/loadflow/test_PTDF_LODF.py index 850b32ceb4..dc5ae65d3f 100644 --- a/pandapower/test/loadflow/test_PTDF_LODF.py +++ b/test/loadflow/test_PTDF_LODF.py @@ -1,134 +1,134 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import numpy as np -import pytest - -from pandapower.networks.power_system_test_cases import case9, case30, case9241pegase -from pandapower.pd2ppc import _pd2ppc -from pandapower.pypower.makeLODF import makeLODF, makeOTDF, outage_results_OTDF -from pandapower.pypower.makePTDF import makePTDF -from pandapower.run import rundcpp -from pandapower.topology.create_graph import create_nxgraph -from pandapower.topology.graph_searches import find_graph_characteristics, lines_on_path - - -def test_PTDF(): - net = case30() - rundcpp(net) - _, ppci = _pd2ppc(net) - - ptdf = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"], - using_sparse_solver=False) - _ = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"], - result_side=1, using_sparse_solver=False) - ptdf_sparse = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"], - using_sparse_solver=True) - ptdf_reduced = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"], - using_sparse_solver=False, - branch_id=list(range(15)), reduced=True) - ptdf_reduced_sparse = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"], - using_sparse_solver=True, - branch_id=list(range(15)), reduced=True) - - if not np.allclose(ptdf, ptdf_sparse): - raise AssertionError("Sparse PTDF has differenct result against dense PTDF") - if ptdf.shape != (ppci["branch"].shape[0], ppci["bus"].shape[0]): - raise AssertionError("PTDF has wrong dimension") - if not np.all(~np.isnan(ptdf)): - raise AssertionError("PTDF has NaN value") - if ptdf_reduced.shape != (15, ppci["bus"].shape[0]): - raise AssertionError("Reduced PTDF has wrong dimension") - if ptdf_reduced_sparse.shape != (15, ppci["bus"].shape[0]): - raise AssertionError("Sparse reduced PTDF has wrong dimension") - - -def test_PTDF_large(): - net = case9241pegase() - rundcpp(net) - _, ppci = _pd2ppc(net) - - ptdf_sparse = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"], - using_sparse_solver=True) - if ptdf_sparse.shape != (ppci["branch"].shape[0], ppci["bus"].shape[0]): - raise AssertionError("PTDF has wrong dimension") - - -def test_LODF(): - net = case9() - rundcpp(net) - _, ppci = _pd2ppc(net) - - ptdf = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"]) - lodf = makeLODF(ppci["branch"], ptdf) - if lodf.shape != (ppci["branch"].shape[0], ppci["branch"].shape[0]): - raise AssertionError("LODF has wrong dimension") - - -def test_OTDF(): - net = case9() - mg = create_nxgraph(net, respect_switches=True) - # roots = np.r_[net.ext_grid.bus.values, net.gen.bus.values] - # stubs = determine_stubs(net, roots=roots, mg=mg, respect_switches=True) # no lines are stubs here? - # stubs = toolbox.get_connected_elements(net, "line", roots) # because not n-1 lines here are those - c = find_graph_characteristics(g=mg, roots=net.ext_grid.bus.values, characteristics=["bridges"]) - bridges = np.array([lines_on_path(mg, p) for p in c["bridges"]]).flatten() - # outage_lines = [i for i in net.line.index.values if i not in stubs and i not in bridges] - outage_lines = np.array([i for i in net.line.index.values if i not in bridges]) - rundcpp(net) - _, ppci = _pd2ppc(net) - ptdf = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"]) - lodf = makeLODF(ppci["branch"], ptdf) - OTDF = makeOTDF(ptdf, lodf, outage_lines) - Pbus = -net.res_bus.p_mw.values # must be in generation reference frame - nminus1_otdf = (OTDF @ Pbus.reshape(-1, 1)).reshape(outage_lines.shape[0], -1) - - # Test selected outages - n_lines = len(net.line) - for outage, line in enumerate(outage_lines): - otdf_outage_result = (OTDF[outage * n_lines:outage * n_lines + n_lines, :] @ Pbus) - - # Run power flow for the outage scenario - net.line.at[line, "in_service"] = False - rundcpp(net) - pf_outage_result = net.res_line.p_from_mw.values - net.line.at[line, "in_service"] = True - - # Compare the results - assert np.allclose(otdf_outage_result, pf_outage_result, rtol=0, atol=1e-12) - - -def test_OTDF_outage_results(): - net = case9() - mg = create_nxgraph(net, respect_switches=True) - # roots = np.r_[net.ext_grid.bus.values, net.gen.bus.values] - # stubs = determine_stubs(net, roots=roots, mg=mg, respect_switches=True) # no lines are stubs here? - # stubs = toolbox.get_connected_elements(net, "line", roots) # because not n-1 lines here are those - c = find_graph_characteristics(g=mg, roots=net.ext_grid.bus.values, characteristics=["bridges"]) - bridges = np.array([lines_on_path(mg, p) for p in c["bridges"]]).flatten() - # outage_lines = [i for i in net.line.index.values if i not in stubs and i not in bridges] - outage_lines = np.array([i for i in net.line.index.values if i not in bridges]) - rundcpp(net) - _, ppci = _pd2ppc(net) - ptdf = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"]) - lodf = makeLODF(ppci["branch"], ptdf) - OTDF = makeOTDF(ptdf, lodf, outage_lines) - Pbus = -net.res_bus.p_mw.values # must be in generation reference frame - nminus1_otdf = outage_results_OTDF(OTDF, Pbus, outage_lines) - - # now obtain the outage results by performing power flow calculations: - nminus1_pf = [] - for i in outage_lines: - net.line.at[i, "in_service"] = False - rundcpp(net) - nminus1_pf.append(net.res_line.p_from_mw.values.copy()) - net.line.at[i, "in_service"] = True - - nminus1_pf = np.vstack(nminus1_pf) - - assert np.allclose(nminus1_otdf, nminus1_pf, rtol=0, atol=1e-12) - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import numpy as np +import pytest + +from pandapower.networks.power_system_test_cases import case9, case30, case9241pegase +from pandapower.pd2ppc import _pd2ppc +from pandapower.pypower.makeLODF import makeLODF, makeOTDF, outage_results_OTDF +from pandapower.pypower.makePTDF import makePTDF +from pandapower.run import rundcpp +from pandapower.topology.create_graph import create_nxgraph +from pandapower.topology.graph_searches import find_graph_characteristics, lines_on_path + + +def test_PTDF(): + net = case30() + rundcpp(net) + _, ppci = _pd2ppc(net) + + ptdf = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"], + using_sparse_solver=False) + _ = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"], + result_side=1, using_sparse_solver=False) + ptdf_sparse = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"], + using_sparse_solver=True) + ptdf_reduced = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"], + using_sparse_solver=False, + branch_id=list(range(15)), reduced=True) + ptdf_reduced_sparse = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"], + using_sparse_solver=True, + branch_id=list(range(15)), reduced=True) + + if not np.allclose(ptdf, ptdf_sparse): + raise AssertionError("Sparse PTDF has differenct result against dense PTDF") + if ptdf.shape != (ppci["branch"].shape[0], ppci["bus"].shape[0]): + raise AssertionError("PTDF has wrong dimension") + if not np.all(~np.isnan(ptdf)): + raise AssertionError("PTDF has NaN value") + if ptdf_reduced.shape != (15, ppci["bus"].shape[0]): + raise AssertionError("Reduced PTDF has wrong dimension") + if ptdf_reduced_sparse.shape != (15, ppci["bus"].shape[0]): + raise AssertionError("Sparse reduced PTDF has wrong dimension") + + +def test_PTDF_large(): + net = case9241pegase() + rundcpp(net) + _, ppci = _pd2ppc(net) + + ptdf_sparse = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"], + using_sparse_solver=True) + if ptdf_sparse.shape != (ppci["branch"].shape[0], ppci["bus"].shape[0]): + raise AssertionError("PTDF has wrong dimension") + + +def test_LODF(): + net = case9() + rundcpp(net) + _, ppci = _pd2ppc(net) + + ptdf = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"]) + lodf = makeLODF(ppci["branch"], ptdf) + if lodf.shape != (ppci["branch"].shape[0], ppci["branch"].shape[0]): + raise AssertionError("LODF has wrong dimension") + + +def test_OTDF(): + net = case9() + mg = create_nxgraph(net, respect_switches=True) + # roots = np.r_[net.ext_grid.bus.values, net.gen.bus.values] + # stubs = determine_stubs(net, roots=roots, mg=mg, respect_switches=True) # no lines are stubs here? + # stubs = toolbox.get_connected_elements(net, "line", roots) # because not n-1 lines here are those + c = find_graph_characteristics(g=mg, roots=net.ext_grid.bus.values, characteristics=["bridges"]) + bridges = np.array([lines_on_path(mg, p) for p in c["bridges"]]).flatten() + # outage_lines = [i for i in net.line.index.values if i not in stubs and i not in bridges] + outage_lines = np.array([i for i in net.line.index.values if i not in bridges]) + rundcpp(net) + _, ppci = _pd2ppc(net) + ptdf = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"]) + lodf = makeLODF(ppci["branch"], ptdf) + OTDF = makeOTDF(ptdf, lodf, outage_lines) + Pbus = -net.res_bus.p_mw.values # must be in generation reference frame + nminus1_otdf = (OTDF @ Pbus.reshape(-1, 1)).reshape(outage_lines.shape[0], -1) + + # Test selected outages + n_lines = len(net.line) + for outage, line in enumerate(outage_lines): + otdf_outage_result = (OTDF[outage * n_lines:outage * n_lines + n_lines, :] @ Pbus) + + # Run power flow for the outage scenario + net.line.at[line, "in_service"] = False + rundcpp(net) + pf_outage_result = net.res_line.p_from_mw.values + net.line.at[line, "in_service"] = True + + # Compare the results + assert np.allclose(otdf_outage_result, pf_outage_result, rtol=0, atol=1e-12) + + +def test_OTDF_outage_results(): + net = case9() + mg = create_nxgraph(net, respect_switches=True) + # roots = np.r_[net.ext_grid.bus.values, net.gen.bus.values] + # stubs = determine_stubs(net, roots=roots, mg=mg, respect_switches=True) # no lines are stubs here? + # stubs = toolbox.get_connected_elements(net, "line", roots) # because not n-1 lines here are those + c = find_graph_characteristics(g=mg, roots=net.ext_grid.bus.values, characteristics=["bridges"]) + bridges = np.array([lines_on_path(mg, p) for p in c["bridges"]]).flatten() + # outage_lines = [i for i in net.line.index.values if i not in stubs and i not in bridges] + outage_lines = np.array([i for i in net.line.index.values if i not in bridges]) + rundcpp(net) + _, ppci = _pd2ppc(net) + ptdf = makePTDF(ppci["baseMVA"], ppci["bus"], ppci["branch"]) + lodf = makeLODF(ppci["branch"], ptdf) + OTDF = makeOTDF(ptdf, lodf, outage_lines) + Pbus = -net.res_bus.p_mw.values # must be in generation reference frame + nminus1_otdf = outage_results_OTDF(OTDF, Pbus, outage_lines) + + # now obtain the outage results by performing power flow calculations: + nminus1_pf = [] + for i in outage_lines: + net.line.at[i, "in_service"] = False + rundcpp(net) + nminus1_pf.append(net.res_line.p_from_mw.values.copy()) + net.line.at[i, "in_service"] = True + + nminus1_pf = np.vstack(nminus1_pf) + + assert np.allclose(nminus1_otdf, nminus1_pf, rtol=0, atol=1e-12) + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/loadflow/test_dist_slack.py b/test/loadflow/test_dist_slack.py similarity index 99% rename from pandapower/test/loadflow/test_dist_slack.py rename to test/loadflow/test_dist_slack.py index c5e68629d5..83b436c69e 100644 --- a/pandapower/test/loadflow/test_dist_slack.py +++ b/test/loadflow/test_dist_slack.py @@ -17,7 +17,6 @@ from pandapower.pypower.idx_brch import PF from pandapower.pypower.idx_bus import PD, VM from pandapower.run import runpp, set_user_pf_options -from pandapower.test.helper_functions import assert_res_equal from pandapower.toolbox.element_selection import get_connected_elements_dict try: @@ -29,6 +28,9 @@ import logging +from test.helper_functions import assert_res_equal + + logger = logging.getLogger(__name__) diff --git a/pandapower/test/loadflow/test_facts.py b/test/loadflow/test_facts.py similarity index 98% rename from pandapower/test/loadflow/test_facts.py rename to test/loadflow/test_facts.py index b9136cca80..ce69b48d8c 100644 --- a/pandapower/test/loadflow/test_facts.py +++ b/test/loadflow/test_facts.py @@ -8,9 +8,11 @@ create_line_from_parameters, create_ext_grid, create_transformer_from_parameters, create_gen, create_ssc ) from pandapower.network import pandapowerNet -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.run import runpp -from pandapower.test.consistency_checks import runpp_with_consistency_checks +from pandapower.networks.facts_case_study_grid import facts_case_study_grid + +from test.consistency_checks import runpp_with_consistency_checks def _many_tcsc_test_net(): diff --git a/pandapower/test/loadflow/test_facts_b2b_vsc.py b/test/loadflow/test_facts_b2b_vsc.py similarity index 99% rename from pandapower/test/loadflow/test_facts_b2b_vsc.py rename to test/loadflow/test_facts_b2b_vsc.py index 90574b50bd..4c969358d2 100644 --- a/pandapower/test/loadflow/test_facts_b2b_vsc.py +++ b/test/loadflow/test_facts_b2b_vsc.py @@ -9,9 +9,10 @@ ) from pandapower.network import pandapowerNet from pandapower.run import runpp -from pandapower.test.consistency_checks import runpp_with_consistency_checks import pandapower.control as control +from test.consistency_checks import runpp_with_consistency_checks + def test_hvdc_interconnect_with_dmr(): """ diff --git a/pandapower/test/loadflow/test_facts_ssc.py b/test/loadflow/test_facts_ssc.py similarity index 93% rename from pandapower/test/loadflow/test_facts_ssc.py rename to test/loadflow/test_facts_ssc.py index d23c00e1f3..8ce035d217 100644 --- a/pandapower/test/loadflow/test_facts_ssc.py +++ b/test/loadflow/test_facts_ssc.py @@ -4,12 +4,19 @@ import pytest from pandapower.create import ( - create_buses, create_bus, create_line_from_parameters, create_load, create_ext_grid, create_ssc + create_buses, + create_bus, + create_line_from_parameters, + create_load, + create_ext_grid, + create_ssc ) from pandapower.network import pandapowerNet from pandapower.run import runpp -from pandapower.test.consistency_checks import runpp_with_consistency_checks -from pandapower.test.loadflow.test_facts import copy_with_impedance, facts_case_study_grid, compare_ssc_impedance_gen +from pandapower.networks.facts_case_study_grid import facts_case_study_grid + +from test.consistency_checks import runpp_with_consistency_checks +from test.loadflow.test_facts import copy_with_impedance, compare_ssc_impedance_gen def test_ssc_minimal(): diff --git a/pandapower/test/loadflow/test_facts_svc.py b/test/loadflow/test_facts_svc.py similarity index 98% rename from pandapower/test/loadflow/test_facts_svc.py rename to test/loadflow/test_facts_svc.py index 2eb29b5079..c95d057bef 100644 --- a/pandapower/test/loadflow/test_facts_svc.py +++ b/test/loadflow/test_facts_svc.py @@ -10,7 +10,8 @@ from pandapower.network import pandapowerNet from pandapower.networks.power_system_test_cases import case9 from pandapower.run import runpp -from pandapower.test.consistency_checks import runpp_with_consistency_checks + +from test.consistency_checks import runpp_with_consistency_checks @pytest.mark.parametrize("vm_set_pu", [0.96, 1., 1.04]) diff --git a/pandapower/test/loadflow/test_facts_tcsc.py b/test/loadflow/test_facts_tcsc.py similarity index 97% rename from pandapower/test/loadflow/test_facts_tcsc.py rename to test/loadflow/test_facts_tcsc.py index 3cb2f05db6..6680cce05a 100644 --- a/pandapower/test/loadflow/test_facts_tcsc.py +++ b/test/loadflow/test_facts_tcsc.py @@ -8,8 +8,10 @@ ) from pandapower.network import pandapowerNet from pandapower.run import runpp -from pandapower.test.consistency_checks import runpp_with_consistency_checks -from pandapower.test.loadflow.test_facts import copy_with_impedance, facts_case_study_grid, compare_tcsc_impedance +from pandapower.networks.facts_case_study_grid import facts_case_study_grid + +from test.consistency_checks import runpp_with_consistency_checks +from test.loadflow.test_facts import copy_with_impedance, compare_tcsc_impedance def add_tcsc_to_line(net, xl, xc, set_p_mw, from_bus, line, side="from_bus"): diff --git a/pandapower/test/loadflow/test_facts_vsc.py b/test/loadflow/test_facts_vsc.py similarity index 99% rename from pandapower/test/loadflow/test_facts_vsc.py rename to test/loadflow/test_facts_vsc.py index 3599e520cc..5f9bc251f9 100644 --- a/pandapower/test/loadflow/test_facts_vsc.py +++ b/test/loadflow/test_facts_vsc.py @@ -1,7 +1,6 @@ # Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved. - import copy import os from itertools import product @@ -9,7 +8,6 @@ import numpy as np import pytest -from pandapower import pp_dir from pandapower.converter.powerfactory.validate import validate_pf_conversion from pandapower.create import ( create_impedance, create_shunts, create_buses, create_gens, create_bus, create_line_from_parameters, create_gen, @@ -20,8 +18,10 @@ from pandapower.network import pandapowerNet from pandapower.pf.makeYbus_facts import calc_y_svc_pu from pandapower.run import runpp -from pandapower.test.consistency_checks import runpp_with_consistency_checks -from pandapower.test.loadflow.test_facts import compare_ssc_impedance_gen + +from test import test_path +from test.consistency_checks import runpp_with_consistency_checks +from test.loadflow.test_facts import compare_ssc_impedance_gen def plot_z(baseZ, xl, xc): @@ -1656,7 +1656,6 @@ def test_2vsc_1ac_1dc(control_mode_ac, control_mode_dc): def test_vsc_slack_minimal_wrong(): # np.set_printoptions(linewidth=1000, suppress=True, precision=2) - # from pandapower.test.loadflow.test_facts import * net = pandapowerNet(name="test_vsc_slack_minimal_wrong") # AC part create_buses(net, 2, 110, geodata=[(200, 0), (400, 0)]) @@ -1686,7 +1685,6 @@ def test_vsc_slack_minimal_wrong(): def test_vsc_slack_minimal_wrong2(): # np.set_printoptions(linewidth=1000, suppress=True, precision=2) - # from pandapower.test.loadflow.test_facts import * net = pandapowerNet(name="test_vsc_slack_minimal_wrong2") # AC part create_buses(net, 2, 110, geodata=[(200, 0), (400, 0)]) @@ -1715,7 +1713,6 @@ def test_vsc_slack_minimal_wrong2(): @pytest.mark.xfail(reason="AC bus same as ext_grid bus not implemented") def test_vsc_slack_minimal(): # todo: fix that FACTS elements can be connected to ext_grid buses # np.set_printoptions(linewidth=1000, suppress=True, precision=2) - # from pandapower.test.loadflow.test_facts import * net = pandapowerNet(name='test_vsc_slack_minimal') # AC part create_buses(net, 2, 110, geodata=[(200, 0), (400, 0)]) @@ -1744,7 +1741,6 @@ def test_vsc_slack_minimal(): # todo: fix that FACTS elements can be connected def test_vsc_slack(): # np.set_printoptions(linewidth=1000, suppress=True, precision=3) - # from pandapower.test.loadflow.test_facts import * net = pandapowerNet(name="test_vsc_slack") # AC part create_buses(net, 4, 110, geodata=[(0, 0), (200, 0), (400, 0), (600, 0)]) @@ -1773,7 +1769,6 @@ def test_vsc_slack(): def test_vsc_slack2(): # np.set_printoptions(linewidth=1000, suppress=True, precision=3) - # from pandapower.test.loadflow.test_facts import * net = pandapowerNet(name="test_vsc_slack2") # AC part create_buses(net, 3, 110, geodata=[(0, 0), (200, 0), (400, 0)]) @@ -1801,7 +1796,6 @@ def test_vsc_slack2(): def test_vsc_slack_oos(): # np.set_printoptions(linewidth=1000, suppress=True, precision=3) - # from pandapower.test.loadflow.test_facts import * net = pandapowerNet(name="test_vsc_slack_oos") # AC part create_buses(net, 4, 110, geodata=[(0, 0), (200, 0), (400, 0), (600, 0)]) @@ -1829,7 +1823,6 @@ def test_vsc_slack_oos(): def test_vsc_dc_r(): # np.set_printoptions(linewidth=1000, suppress=True, precision=3) - # from pandapower.test.loadflow.test_facts import * net = pandapowerNet(name="test_vsc_dc_r") # AC part create_buses(net, 3, 110, geodata=[(0, 0), (200, 0), (400, 0)]) @@ -1854,7 +1847,6 @@ def test_vsc_dc_r(): def test_vsc_hvdc_dc_rl(): - # from pandapower.test.loadflow.test_facts import * net = pandapowerNet(name="test_vsc_hvdc_dc_rl") # AC part create_buses(net, 3, 110) @@ -1881,7 +1873,7 @@ def test_vsc_hvdc_dc_rl(): def test_results_pf_grid(): # todo: improve accuracy of DC losses and reduce tolerances - path = os.path.join(pp_dir, "test", "test_files", "test_ac_dc.json") + path = os.path.join(test_path, "test_files", "test_ac_dc.json") net = from_json(path) res = validate_pf_conversion(net) assert np.max(np.abs(res['diff_vm']['diff'])) < 1e-6 diff --git a/pandapower/test/loadflow/test_recycle.py b/test/loadflow/test_recycle.py similarity index 97% rename from pandapower/test/loadflow/test_recycle.py rename to test/loadflow/test_recycle.py index 1efc541589..c0a5174669 100644 --- a/pandapower/test/loadflow/test_recycle.py +++ b/test/loadflow/test_recycle.py @@ -15,10 +15,11 @@ ) from pandapower.network import pandapowerNet from pandapower.run import set_user_pf_options, runpp, rundcpp -from pandapower.test.consistency_checks import runpp_with_consistency_checks, rundcpp_with_consistency_checks -from pandapower.test.helper_functions import add_grid_connection from pandapower.toolbox.comparison import nets_equal +from test.consistency_checks import runpp_with_consistency_checks, rundcpp_with_consistency_checks +from test.helper_functions import add_grid_connection + @pytest.fixture def recycle_net(): diff --git a/pandapower/test/loadflow/test_results.py b/test/loadflow/test_results.py similarity index 97% rename from pandapower/test/loadflow/test_results.py rename to test/loadflow/test_results.py index f77fd49a7b..25930f2d0e 100644 --- a/pandapower/test/loadflow/test_results.py +++ b/test/loadflow/test_results.py @@ -16,10 +16,17 @@ from pandapower.file_io import from_json from pandapower.network import pandapowerNet from pandapower.run import runpp -from pandapower.test.conftest import result_test_network -from pandapower.test.consistency_checks import runpp_with_consistency_checks -from pandapower.test.loadflow.result_test_network_generator import add_test_enforce_qlims, \ - add_test_gen, add_test_enforce_qlims_sgen, add_test_enforce_plims, add_test_enforce_plims_sgen + +from test import test_path +from test.conftest import result_test_network +from test.consistency_checks import runpp_with_consistency_checks +from test.loadflow.result_test_network_generator import ( + add_test_enforce_qlims, + add_test_gen, + add_test_enforce_qlims_sgen, + add_test_enforce_plims, + add_test_enforce_plims_sgen +) # simple example grid for tap dependent impedance tests: @@ -493,13 +500,13 @@ def test_trafo3w(result_test_network, v_tol=1e-6, i_tol=1e-6, s_tol=2e-2, l_tol= @pytest.mark.parametrize("tap_side", ('hv', 'mv', 'lv')) @pytest.mark.parametrize("tap_step_degree", (0, 15, 30)) def test_trafo3w_tap(tap_pos, tap_side, tap_step_degree): - results = pd.read_csv(os.path.join(pp_dir, "test", "test_files", "test_results_files", "trafo_3w_tap_results.csv"), + results = pd.read_csv(os.path.join(test_path, "test_files", "test_results_files", "trafo_3w_tap_results.csv"), sep=";", decimal=",") if results.query("tap_side == @tap_side & tap_pos == @tap_pos & tap_step_degree == @tap_step_degree").empty: pytest.skip(f"Skipping combination: tap_side={tap_side}, tap_pos={tap_pos}, tap_step_degree={tap_step_degree}") - net = from_json(os.path.join(pp_dir, "test", "test_files", "test_trafo3w_tap.json")) # + net = from_json(os.path.join(test_path, "test_files", "test_trafo3w_tap.json")) # net.trafo3w.loc[0, 'tap_at_star_point'] = False net.trafo3w.loc[1, 'tap_at_star_point'] = True @@ -525,13 +532,13 @@ def test_trafo3w_tap(tap_pos, tap_side, tap_step_degree): @pytest.mark.parametrize("tap_step_degree", (0, 15, 30)) def test_trafo3w_tap_neutral_not_zero(tap_pos, tap_side, tap_step_degree): results = pd.read_csv( - os.path.join(pp_dir, "test", "test_files", "test_results_files", "trafo_3w_tap_results_neutral_not_zero.csv"), + os.path.join(test_path, "test_files", "test_results_files", "trafo_3w_tap_results_neutral_not_zero.csv"), sep=";", decimal=",") if results.query("tap_side == @tap_side & tap_pos == @tap_pos & tap_step_degree == @tap_step_degree").empty: pytest.skip(f"Skipping combination: tap_side={tap_side}, tap_pos={tap_pos}, tap_step_degree={tap_step_degree}") - net = from_json(os.path.join(pp_dir, "test", "test_files", "test_trafo3w_tap.json")) # + net = from_json(os.path.join(test_path, "test_files", "test_trafo3w_tap.json")) # net.trafo3w.loc[[0, 1], 'tap_min'] += 3 net.trafo3w.loc[[0, 1], 'tap_max'] += 3 diff --git a/pandapower/test/loadflow/test_rundcpp.py b/test/loadflow/test_rundcpp.py similarity index 98% rename from pandapower/test/loadflow/test_rundcpp.py rename to test/loadflow/test_rundcpp.py index 1f6ae54a45..8d59b757b0 100644 --- a/pandapower/test/loadflow/test_rundcpp.py +++ b/test/loadflow/test_rundcpp.py @@ -15,9 +15,10 @@ from pandapower.network import pandapowerNet from pandapower.networks.power_system_test_cases import case4gs, case118 from pandapower.run import rundcpp, runpp -from pandapower.test.consistency_checks import rundcpp_with_consistency_checks -from pandapower.test.helper_functions import add_grid_connection, create_test_line, assert_net_equal -from pandapower.test.loadflow.result_test_network_generator import result_test_network_generator_dcpp + +from test.consistency_checks import rundcpp_with_consistency_checks +from test.helper_functions import add_grid_connection, create_test_line, assert_net_equal +from test.loadflow.result_test_network_generator import result_test_network_generator_dcpp def test_rundcpp_init(): diff --git a/pandapower/test/loadflow/test_runpp.py b/test/loadflow/test_runpp.py similarity index 99% rename from pandapower/test/loadflow/test_runpp.py rename to test/loadflow/test_runpp.py index 6990c88388..a6536cdca4 100644 --- a/pandapower/test/loadflow/test_runpp.py +++ b/test/loadflow/test_runpp.py @@ -9,7 +9,6 @@ import pandas as pd import pytest -from pandapower import pp_dir from pandapower.auxiliary import _check_connectivity, _add_ppc_options, lightsim2grid_available from pandapower.create import ( create_bus, create_ext_grid, create_dcline, create_load, create_sgen, create_switch, create_transformer, @@ -17,7 +16,7 @@ create_impedance, create_storage, create_buses, create_transformer_from_parameters, create_transformer3w_from_parameters, create_poly_cost ) -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.file_io import from_json from pandapower.network import pandapowerNet from pandapower.networks import create_cigre_network_mv, four_loads_with_branches_out, \ @@ -30,11 +29,6 @@ from pandapower.pypower.makeYbus import makeYbus as makeYbus_pypower from pandapower.results import reset_results from pandapower.run import set_user_pf_options, runpp, runopp -from pandapower.test.consistency_checks import runpp_with_consistency_checks -from pandapower.test.control.test_shunt_control import simple_test_net_shunt_control -from pandapower.test.helper_functions import add_grid_connection, create_test_line, assert_net_equal, assert_res_equal -from pandapower.test.loadflow.result_test_network_generator import add_test_xward, add_test_trafo3w, \ - add_test_line, add_test_oos_bus_with_is_element, result_test_network_generator, add_test_trafo from pandapower.toolbox.comparison import nets_equal from pandapower.toolbox.grid_modification import drop_elements from pandapower.control.util.auxiliary import create_q_capability_characteristics_object @@ -63,6 +57,18 @@ helmpy_available = False +from test import test_path +from test.consistency_checks import runpp_with_consistency_checks +from test.control.test_shunt_control import simple_test_net_shunt_control +from test.helper_functions import add_grid_connection, create_test_line, assert_net_equal, assert_res_equal +from test.loadflow.result_test_network_generator import ( + add_test_xward, + add_test_trafo3w, + add_test_line, + add_test_oos_bus_with_is_element, + result_test_network_generator, + add_test_trafo +) def test_minimal_net(**kwargs): # tests corner-case when the grid only has 1 bus and an ext-grid @@ -1702,7 +1708,7 @@ def _test_net_for_q_capability_curve(): create_transformer_from_parameters( net, bus2, bus1, name="110kV/20kV transformer", parallel=1, max_loading_percent=100, sn_mva=210, vn_hv_kv=110, vn_lv_kv=20, vk_percent=12.5, vkr_percent=0.01904762, vk0_percent=10, vkr0_percent=0, shift_degree=330, - vector_group="YNd11", i0_percent= 0.26, pfe_kw=0,si0_hv_partial=0.5 + vector_group="YNd11", i0_percent=0.26, pfe_kw=0, si0_hv_partial=0.5 ) create_gen(net, bus1, p_mw=100, sn_mva=255.0, scaling=1.0, type="Hydro", diff --git a/pandapower/test/loadflow/test_runpp_3ph.py b/test/loadflow/test_runpp_3ph.py similarity index 96% rename from pandapower/test/loadflow/test_runpp_3ph.py rename to test/loadflow/test_runpp_3ph.py index 5deda1dc56..278b914de0 100644 --- a/pandapower/test/loadflow/test_runpp_3ph.py +++ b/test/loadflow/test_runpp_3ph.py @@ -1,1163 +1,1164 @@ -""" -Created on Wed May 2 17:06:25 2018 -Tests 3 phase power flow algorithm -@author: sghosh -""" - -import os - -import numpy as np -import pytest -import copy - -from pandapower.networks import create_cigre_network_mv -from pandapower import pp_dir -from pandapower.toolbox.grid_modification import replace_line_by_impedance -from pandapower.auxiliary import get_free_id -from pandapower.create import ( - create_bus, - create_ext_grid, - create_line, - create_asymmetric_load, - create_line_from_parameters, - create_load, - create_transformer_from_parameters, - create_sgen, - create_asymmetric_sgen, - create_shunt, - create_gen, - create_switch, -) -from pandapower.file_io import from_json -from pandapower.network import pandapowerNet -from pandapower.pf.runpp_3ph import runpp_3ph -from pandapower.run import runpp -from pandapower.std_types import create_std_type, add_zero_impedance_parameters -from pandapower.test.consistency_checks import ( - runpp_3ph_with_consistency_checks, - runpp_with_consistency_checks, - trafo_currents_consistent_3ph, -) -from pandapower.test.loadflow.PF_Results import get_PF_Results -from pandapower.toolbox.comparison import dataframes_equal -from pandapower.test.conftest import result_test_network -from pandapower.test.helper_functions import add_grid_connection -from pandapower.test.loadflow.test_runpp import get_isolated - - -@pytest.fixture -def test_net(): - v_base = 110 # 110kV Base Voltage - k_va_base = 100 # 100 MVA - net = pandapowerNet(name="test_net", sn_mva=k_va_base) - create_bus(net, vn_kv=v_base, index=1) - create_bus(net, vn_kv=v_base, index=5) - create_ext_grid(net, bus=1, vm_pu=1.0, s_sc_max_mva=5000, rx_max=0.1, r0x0_max=0.1, x0x_max=1.0) - create_std_type( - net, - { - "r0_ohm_per_km": 0.0848, - "x0_ohm_per_km": 0.4649556, - "c0_nf_per_km": 230.6, - "g0_us_per_km": 0, - "max_i_ka": 0.963, - "r_ohm_per_km": 0.0212, - "x_ohm_per_km": 0.1162389, - "c_nf_per_km": 230, - }, - "example_type", - ) - create_line(net, from_bus=1, to_bus=5, length_km=50.0, std_type="example_type") - - create_asymmetric_load(net, 5, p_a_mw=50, q_a_mvar=50, p_b_mw=10, q_b_mvar=15, p_c_mw=10, q_c_mvar=5) - return net - - -def check_it(net): - bus_pp = np.abs(net.res_bus_3ph[["vm_a_pu", "vm_b_pu", "vm_c_pu"]][~np.isnan(net.res_bus_3ph.vm_a_pu)].values) - bus_pf = np.abs(np.array([[0.96742893, 1.01302766, 1.019784], [0.74957533, 1.09137945, 1.05124282]])) - assert np.max(np.abs(bus_pp - bus_pf)) < 1.1e-6 - line_pp = np.abs( - net.res_line_3ph[~np.isnan(net.res_line_3ph.i_a_from_ka)][ - [ - "i_a_from_ka", - "i_a_to_ka", - "i_b_from_ka", - "i_b_to_ka", - "i_c_from_ka", - "i_c_to_ka", - "p_a_from_mw", - "p_a_to_mw", - "q_a_from_mvar", - "q_a_to_mvar", - "p_b_from_mw", - "p_b_to_mw", - "q_b_from_mvar", - "q_b_to_mvar", - "p_c_from_mw", - "p_c_to_mw", - "q_c_from_mvar", - "q_c_to_mvar", - "loading_a_percent", - "loading_b_percent", - "loading_c_percent", - "loading_percent", - ] - ].values - ) - line_pf = np.abs( - np.array( - [ - [ - 1.34212045, - 1.48537916, - 0.13715552, - 0.26009611, - 0.22838401, - 0.1674634, - 55.70772301, - (-49.999992954), - 60.797262682, - (-49.999959283), - 8.7799379802, - (-9.9999996625), - (-0.88093549983), - (-15.000000238), - 9.3739293122, - (-10.000000161), - (-11.441663679), - (-4.9999997418), - 154.2452, - 27.00894, - 23.71589, - 154.2452, - ] - ] - ) - ) - assert np.max(np.abs(line_pp - line_pf)) < 1.1e-4 - - -def test_2bus_network(test_net): - # -o---o - add_zero_impedance_parameters(test_net) - runpp_3ph_with_consistency_checks(test_net) - assert test_net["converged"] - check_it(test_net) - - -def test_2bus_network_single_isolated_busses(test_net): - # -o---o o x - create_bus(test_net, vn_kv=110) - create_bus(test_net, vn_kv=110, in_service=False) - add_zero_impedance_parameters(test_net) - runpp_3ph_with_consistency_checks(test_net) - assert test_net["converged"] - check_it(test_net) - - -def test_2bus_network_isolated_net_part(test_net): - # -o---o o---o - b1 = create_bus(test_net, vn_kv=110) - b2 = create_bus(test_net, vn_kv=110) - create_line(test_net, from_bus=b1, to_bus=b2, length_km=50.0, std_type="example_type") - create_asymmetric_load(test_net, b2, p_a_mw=50, q_a_mvar=50, p_b_mw=10, q_b_mvar=15, p_c_mw=10, q_c_mvar=5) - add_zero_impedance_parameters(test_net) - runpp_3ph_with_consistency_checks(test_net) - assert test_net["converged"] - check_it(test_net) - - -def test_2bus_network_singel_oos_bus(test_net): - # -o---x---o - b1 = create_bus(test_net, vn_kv=110) - test_net.bus.loc[5, "in_service"] = False - create_line(test_net, from_bus=5, to_bus=b1, length_km=10.0, std_type="example_type") - create_asymmetric_load(test_net, b1, p_a_mw=-5, q_a_mvar=5, p_b_mw=-1, q_b_mvar=1.5, p_c_mw=-1, q_c_mvar=0.5) - add_zero_impedance_parameters(test_net) - runpp_3ph_with_consistency_checks(test_net) - assert test_net["converged"] - - -def test_out_serv_load(test_net): - # <-x--o------o - add_zero_impedance_parameters(test_net) - runpp_3ph_with_consistency_checks(test_net) - assert test_net["converged"] - check_it(test_net) - create_asymmetric_load( - test_net, 5, p_a_mw=50, q_a_mvar=100, p_b_mw=29, q_b_mvar=38, p_c_mw=10, q_c_mvar=5, in_service=False - ) - runpp_3ph_with_consistency_checks(test_net) - assert test_net["converged"] - check_it(test_net) - - -def test_2bus_network_one_of_two_ext_grids_oos(test_net): - """Out of service ext_grids should not affect the unbalanced powerflow""" - create_ext_grid( - test_net, bus=1, vm_pu=1.0, s_sc_max_mva=5000, rx_max=0.1, r0x0_max=0.1, x0x_max=1.0, in_service=False - ) - runpp_3ph(test_net) - assert test_net["converged"] - - -@pytest.mark.parametrize("init", ["auto", "results", "flat", "dc"]) -@pytest.mark.parametrize("recycle", [None, {"bus_pq": True, "Ybus": True}, {"bus_pq": True, "Ybus": False}]) -def test_4bus_network(init, recycle): - v_base = 110 # 110kV Base Voltage - mva_base = 100 # 100 MVA - net = pandapowerNet(name="test_4bus_network", sn_mva=mva_base) - # ============================================================================= - # Main Program - # ============================================================================= - busn = create_bus(net, vn_kv=v_base, name="busn") - busk = create_bus(net, vn_kv=v_base, name="busk") - busm = create_bus(net, vn_kv=v_base, name="busm") - busp = create_bus(net, vn_kv=v_base, name="busp") - create_ext_grid( - net, bus=busn, vm_pu=1.0, name="Grid Connection", s_sc_max_mva=5000, rx_max=0.1, r0x0_max=0.1, x0x_max=1.0 - ) - create_std_type( - net, - { - "r0_ohm_per_km": 0.154, - "x0_ohm_per_km": 0.5277876, - "c0_nf_per_km": 170.4, - "g0_us_per_km": 0, - "max_i_ka": 0.741, - "r_ohm_per_km": 0.0385, - "x_ohm_per_km": 0.1319469, - "c_nf_per_km": 170, - }, - "example_type3", - ) - create_line(net, from_bus=busn, to_bus=busm, length_km=1.0, std_type="example_type3") - create_line(net, from_bus=busn, to_bus=busp, length_km=1.0, std_type="example_type3") - create_line_from_parameters( - net, - from_bus=busn, - to_bus=busk, - length_km=1.0, - r0_ohm_per_km=0.1005, - x0_ohm_per_km=0.4900884, - c0_nf_per_km=200.5, - max_i_ka=0.89, - r_ohm_per_km=0.0251, - x_ohm_per_km=0.1225221, - c_nf_per_km=210, - ) - create_line_from_parameters( - net, - from_bus=busk, - to_bus=busm, - length_km=1.0, - r0_ohm_per_km=0.0848, - x0_ohm_per_km=0.4649556, - c0_nf_per_km=230.6, - max_i_ka=0.963, - r_ohm_per_km=0.0212, - x_ohm_per_km=0.1162389, - c_nf_per_km=230, - ) - create_line_from_parameters( - net, - from_bus=busk, - to_bus=busp, - length_km=1.0, - r0_ohm_per_km=0.3048, - x0_ohm_per_km=0.6031856, - c0_nf_per_km=140.3, - max_i_ka=0.531, - r_ohm_per_km=0.0762, - x_ohm_per_km=0.1507964, - c_nf_per_km=140, - ) - add_zero_impedance_parameters(net) - - create_asymmetric_load(net, busk, p_a_mw=50, q_a_mvar=20, p_b_mw=80, q_b_mvar=60, p_c_mw=20, q_c_mvar=5) - create_asymmetric_load(net, busm, p_a_mw=50, q_a_mvar=50, p_b_mw=10, q_b_mvar=15, p_c_mw=10, q_c_mvar=5) - create_asymmetric_load(net, busp, p_a_mw=50, q_a_mvar=20, p_b_mw=60, q_b_mvar=20, p_c_mw=10, q_c_mvar=5) - runpp_3ph_with_consistency_checks(net, init=init, recycle=recycle) - runpp_3ph_with_consistency_checks(net, init=init, recycle=recycle) - assert net["converged"] - - bus_pp = np.abs(net.res_bus_3ph[["vm_a_pu", "vm_b_pu", "vm_c_pu"]][~np.isnan(net.res_bus_3ph.vm_a_pu)].values) - bus_pf = np.abs( - np.array( - [ - [0.98085729, 0.97711997, 1.04353786], - [0.97828577, 0.97534651, 1.04470864], - [0.97774307, 0.97648197, 1.04421233], - [0.9780892, 0.97586805, 1.04471106], - ] - ) - ) - assert np.max(np.abs(bus_pp - bus_pf)) < 1e-8 - - line_pp = np.abs( - net.res_line_3ph[ - [ - "i_a_from_ka", - "i_b_from_ka", - "i_c_from_ka", - "i_a_to_ka", - "i_b_to_ka", - "i_c_to_ka", - "p_a_from_mw", - "p_b_from_mw", - "p_c_from_mw", - "q_a_from_mvar", - "q_b_from_mvar", - "q_c_from_mvar", - "p_a_to_mw", - "p_b_to_mw", - "p_c_to_mw", - "q_a_to_mvar", - "q_b_to_mvar", - "q_c_to_mvar", - "loading_a_percent", - "loading_b_percent", - "loading_c_percent", - "loading_percent", - ] - ].values - ) - line_pf = np.abs( - np.array( - [ - [ - 0.98898804851, - 0.68943734, - 0.19848961, - 0.99093993, - 0.69146384, - 0.19966503, - 49.87434308, - 33.86579548, - 12.44659879, - 36.16562613, - 26.14426519, - 4.25746428, - -49.75842138, - -33.90236497, - -12.45155362, - -36.19862688, - -26.25675246, - -4.50384238, - 133.730100000000, - 93.314960000000, - 26.945350000000, - 133.730100000000, - ], - [ - 0.87075816277, - 1.03463205, - 0.19072622, - 0.87210779, - 1.03599167, - 0.19188991, - 49.59359423, - 58.53676842, - 11.97553941, - 21.96967200, - 26.37559958, - 4.04458873, - -49.47110289, - -58.55284705, - -11.98669516, - -22.07474008, - -26.34476811, - -4.29078447, - 117.693400000000, - 139.809900000000, - 25.896070000000, - 139.809900000000, - ], - [ - 0.95760407055, - 1.14786582, - 0.24829126, - 0.95975383, - 1.15028040, - 0.24975553, - 50.87938854, - 57.53628873, - 15.54470531, - 31.13888557, - 41.99378843, - 5.39758513, - -50.76249094, - -57.56374777, - -15.56099267, - -31.28560646, - -41.99056453, - -5.69609575, - 107.837500000000, - 129.245000000000, - 28.062420000000, - 129.245000000000, - ], - [ - 0.21780921494, - 0.42795803, - 0.03706412, - 0.22229619, - 0.42603286, - 0.03771703, - 0.23292404, - -23.88471674, - -2.45255095, - 13.53037092, - -11.49972060, - 0.17971665, - -0.24157862, - 23.90236497, - 2.45155361, - -13.80137312, - 11.25675247, - -0.49615762, - 23.083720000000, - 44.440090000000, - 3.916618000000, - 44.440090000000, - ], - [ - 0.03712221482, - 0.10766244, - 0.03093505, - 0.03446871, - 0.10500386, - 0.03179428, - 0.52956690, - 1.44846452, - -1.98645639, - -2.24476446, - -6.50971485, - 0.51637910, - -0.52889712, - -1.44715295, - 1.98669515, - 2.07474008, - 6.34476812, - -0.70921554, - 6.991001000000, - 20.275410000000, - 5.987624000000, - 20.275410000000, - ], - ] - ) - ) - assert np.max(np.abs(line_pp - line_pf)) < 1e-4 - - -def test_3ph_bus_mapping_order(): - net = pandapowerNet(name="test_3ph_bus_mapping_order") - b2 = create_bus(net, vn_kv=0.4, index=4) - create_bus(net, vn_kv=0.4, in_service=False, index=3) - b1 = create_bus(net, vn_kv=0.4, index=7) - - create_ext_grid(net, b1, vm_pu=1.0, s_sc_max_mva=10, rx_max=0.1) - net.ext_grid["x0x_max"] = 1.0 - net.ext_grid["r0x0_max"] = 0.1 - create_std_type( - net, - { - "r_ohm_per_km": 0.1013, - "x_ohm_per_km": 0.06911504, - "c_nf_per_km": 690, - "g_us_per_km": 0, - "max_i_ka": 0.44, - "c0_nf_per_km": 312.4, - "g0_us_per_km": 0, - "r0_ohm_per_km": 0.4053, - "x0_ohm_per_km": 0.2764602, - }, - "N2XRY 3x185sm 0.6/1kV", - ) - - create_line(net, b1, b2, 1.0, std_type="N2XRY 3x185sm 0.6/1kV", index=4) - create_line(net, b1, b2, 1.0, std_type="N2XRY 3x185sm 0.6/1kV", index=3, in_service=False) - create_line(net, b1, b2, 1.0, std_type="N2XRY 3x185sm 0.6/1kV", index=7) - add_zero_impedance_parameters(net) - create_load(net, b2, p_mw=0.030, q_mvar=0.030) - runpp(net) - runpp_3ph_with_consistency_checks(net) - assert net["converged"] - - assert np.allclose(net.res_bus_3ph.vm_a_pu.values, net.res_bus.vm_pu.values, equal_nan=True) - assert net.res_bus_3ph.index.tolist() == net.res_bus.index.tolist() - - assert net.res_line_3ph.index.tolist() == net.res_line.index.tolist() - assert np.allclose( - net.res_line.p_from_mw, - net.res_line_3ph.p_a_from_mw + net.res_line_3ph.p_b_from_mw + net.res_line_3ph.p_c_from_mw, - ) - assert np.allclose(net.res_line.loading_percent, net.res_line_3ph.loading_a_percent) - - -def test_3ph_two_bus_line_powerfactory(): - net = pandapowerNet(name="test_3ph_two_bus_line_powerfactory") - - b1 = create_bus(net, vn_kv=0.4) - b2 = create_bus(net, vn_kv=0.4) - - create_ext_grid(net, b1, vm_pu=1.0, s_sc_max_mva=10, rx_max=0.1) - net.ext_grid["x0x_max"] = 1.0 - net.ext_grid["r0x0_max"] = 0.1 - create_std_type( - net, - { - "r_ohm_per_km": 0.1013, - "x_ohm_per_km": 0.06911504, - "c_nf_per_km": 690, - "g_us_per_km": 0, - "max_i_ka": 0.44, - "c0_nf_per_km": 312.4, - "g0_us_per_km": 0, - "r0_ohm_per_km": 0.4053, - "x0_ohm_per_km": 0.2764602, - }, - "N2XRY 3x185sm 0.6/1kV", - ) - - create_line(net, b1, b2, 0.4, std_type="N2XRY 3x185sm 0.6/1kV") - add_zero_impedance_parameters(net) - create_load(net, b2, p_mw=0.010, q_mvar=0.010) - create_asymmetric_load( - net, b2, p_a_mw=0.020, q_a_mvar=0.010, p_b_mw=0.015, q_b_mvar=0.005, p_c_mw=0.025, q_c_mvar=0.010 - ) - runpp_3ph_with_consistency_checks(net) - assert net["converged"] - - bus_pp = np.abs(net.res_bus_3ph[["vm_a_pu", "vm_b_pu", "vm_c_pu"]].values) - bus_pf = np.abs( - np.array([[0.99939853552, 1.0013885141, 0.99921580141], [0.97401782343, 0.98945593737, 0.96329605983]]) - ) - - assert np.max(np.abs(bus_pp - bus_pf)) < 4e-6 - - line_pp = np.abs( - net.res_line_3ph[ - [ - "i_a_from_ka", - "i_b_from_ka", - "i_c_from_ka", - "i_a_to_ka", - "i_b_to_ka", - "i_c_to_ka", - "p_a_from_mw", - "p_b_from_mw", - "p_c_from_mw", - "q_a_from_mvar", - "q_b_from_mvar", - "q_c_from_mvar", - "p_a_to_mw", - "p_b_to_mw", - "p_c_to_mw", - "q_a_to_mvar", - "q_b_to_mvar", - "q_c_to_mvar", - ] - ].values - ) - line_pf = np.abs( - np.array( - [ - [ - 0.11946088987, - 0.08812337783, - 0.14074226065, - 0.1194708224, - 0.088131567331, - 0.14075063601, - 0.023810539354, - 0.01855791658, - 0.029375192747, - 0.013901720672, - 0.008421814704, - 0.013852398586, - -0.023333142958, - -0.018333405987, - -0.028331643666, - -0.013332756527, - -0.008333413919, - -0.013332422725, - ] - ] - ) - ) - assert np.max(np.abs(line_pp - line_pf)) < 1e-5 - - line_load_pp = np.abs( - net.res_line_3ph[["loading_a_percent", "loading_b_percent", "loading_c_percent", "loading_percent"]].values - ) - line_load_pf = np.abs(np.array([[27.1525, 20.0299, 31.98878, 31.98878]])) - assert np.max(np.abs(line_load_pp - line_load_pf)) < 1e-2 - - -def check_bus_voltages(net, result, trafo_vector_group): - res_vm_pu = [] - ordered_bus_table = net.bus.sort_values(by="name").reset_index(drop=True) - for i in range(len(ordered_bus_table)): - index = net.bus[net.bus.name == ordered_bus_table["name"][i]].index[0] - res_vm_pu.append(net.res_bus_3ph.vm_a_pu[index]) - res_vm_pu.append(net.res_bus_3ph.vm_b_pu[index]) - res_vm_pu.append(net.res_bus_3ph.vm_c_pu[index]) - - # max_tol = 0 - # for tol in [1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6, 1e-7]: - # if np.allclose(result, res_vm_pu, atol=tol): - # max_tol = tol - # print('Voltage Magnitude for %s is within tolerance of %s' % (trafo_vector_group, max_tol)) - - tolerances = {"YNyn": 1e-05, "Dyn": 1e-05, "Yzn": 1e-03} - - assert np.allclose(result, res_vm_pu, atol=tolerances[trafo_vector_group], rtol=0), ( - f"Incorrect results for {trafo_vector_group}" - ) - - -def check_line_currents(net, result, trafo_vector_group): - res_line_i_ka = [] - ordered_line_table = net.line.sort_values(by="name").reset_index(drop=True) - for i in range(len(ordered_line_table)): - index = net.line[net.line.name == ordered_line_table["name"][i]].index[0] - res_line_i_ka.append(net.res_line_3ph.i_a_from_ka[index]) - res_line_i_ka.append(net.res_line_3ph.i_b_from_ka[index]) - res_line_i_ka.append(net.res_line_3ph.i_c_from_ka[index]) - res_line_i_ka.append(net.res_line_3ph.i_a_to_ka[index]) - res_line_i_ka.append(net.res_line_3ph.i_b_to_ka[index]) - res_line_i_ka.append(net.res_line_3ph.i_c_to_ka[index]) - - # max_tol = 0 - # for tol in [1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6, 1e-7]: - # if np.allclose(result, res_line_i_ka, atol=tol): - # max_tol = tol - # print('Line current for %s is within tolerance of %s' % (trafo_vector_group, max_tol)) - - tolerances = {"YNyn": 1e-07, "Dyn": 1e-07, "Yzn": 1e-04} - - assert np.allclose(result, res_line_i_ka, atol=tolerances[trafo_vector_group]) - if not np.allclose(result, res_line_i_ka, atol=tolerances[trafo_vector_group]): - raise ValueError("Incorrect results for vector group %s" % trafo_vector_group, res_line_i_ka, result) - - -def check_trafo_currents(net, result, trafo_vector_group): - res_trafo_i_ka = [] - ordered_trafo_table = net.trafo.sort_values(by="name").reset_index(drop=True) - for i in range(len(ordered_trafo_table)): - index = net.trafo[net.trafo.name == ordered_trafo_table["name"][i]].index[0] - res_trafo_i_ka.append(net.res_trafo_3ph.i_a_hv_ka[index]) - res_trafo_i_ka.append(net.res_trafo_3ph.i_b_hv_ka[index]) - res_trafo_i_ka.append(net.res_trafo_3ph.i_c_hv_ka[index]) - res_trafo_i_ka.append(net.res_trafo_3ph.i_a_lv_ka[index]) - res_trafo_i_ka.append(net.res_trafo_3ph.i_b_lv_ka[index]) - res_trafo_i_ka.append(net.res_trafo_3ph.i_c_lv_ka[index]) - - # max_tol = 0 - # for tol in [1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6, 1e-7]: - # if np.allclose(result, res_trafo_i_ka, atol=tol): - # max_tol = tol - # print('Trafo current for %s is within tolerance of %s' % (trafo_vector_group, max_tol)) - - tolerances = {"YNyn": 1e-03, "Dyn": 1e-03, "Yzn": 1e-03} - - assert np.allclose(result, res_trafo_i_ka, atol=tolerances[trafo_vector_group]) - if not np.allclose(result, res_trafo_i_ka, atol=tolerances[trafo_vector_group]): - raise ValueError("Incorrect results for vector group %s" % trafo_vector_group, res_trafo_i_ka, result) - - -def check_results(_net, trafo_vector_group, results): - check_bus_voltages(_net, results[0], trafo_vector_group) - check_line_currents(_net, results[1], trafo_vector_group) - check_trafo_currents(_net, results[2], trafo_vector_group) - - -def make_nw(net, bushv, tap_ps, case, vector_group): - b1 = create_bus(net, bushv, zone=vector_group, index=get_free_id(net.bus)) - b2 = create_bus(net, 0.4, zone=vector_group) - b3 = create_bus(net, 0.4, zone=vector_group) - create_ext_grid(net, b1, s_sc_max_mva=10000, rx_max=0.1, r0x0_max=0.1, x0x_max=1.0) - create_transformer_from_parameters( - net, - hv_bus=b1, - lv_bus=b2, - sn_mva=1.6, - vn_hv_kv=10, - vn_lv_kv=0.4, - vk_percent=6, - vkr_percent=0.78125, - pfe_kw=2.7, - i0_percent=0.16875, - shift_degree=0, - tap_side="lv", - tap_neutral=0, - tap_min=-2, - tap_max=2, - tap_step_degree=0, - tap_step_percent=2.5, - tap_changer_type="Ratio", - vk0_percent=6, - vkr0_percent=0.78125, - mag0_percent=10000, - mag0_rx=0.0, - si0_hv_partial=0.9, - vector_group=vector_group, - parallel=1, - tap_pos=tap_ps, - index=get_free_id(net.trafo) + 1, - ) - create_line_from_parameters( - net, - b2, - b3, - length_km=0.5, - r_ohm_per_km=0.1941, - x_ohm_per_km=0.07476991, - c_nf_per_km=1160.0, - max_i_ka=0.421, - endtemp_degree=70.0, - r0_ohm_per_km=0.7766, - x0_ohm_per_km=0.2990796, - c0_nf_per_km=496.2, - index=get_free_id(net.line) + 1, - ) - if case == "bal_wye": - # Symmetric Load - create_load(net, b3, 0.08, 0.012, type="wye") - elif case == "delta_wye": - # Unsymmetric Light Load - create_asymmetric_load( - net, - b3, - p_a_mw=0.0044, - q_a_mvar=0.0013, - p_b_mw=0.0044, - q_b_mvar=0.0013, - p_c_mw=0.0032, - q_c_mvar=0.0013, - type="wye", - ) - create_asymmetric_load( - net, - b3, - p_a_mw=0.0300, - q_a_mvar=0.0048, - p_b_mw=0.0280, - q_b_mvar=0.0036, - p_c_mw=0.027, - q_c_mvar=0.0043, - type="delta", - ) - elif case == "wye" or case == "delta": - # Unsymmetric Heavy Load - create_asymmetric_load( - net, - b3, - p_a_mw=0.0300, - q_a_mvar=0.0048, - p_b_mw=0.0280, - q_b_mvar=0.0036, - p_c_mw=0.027, - q_c_mvar=0.0043, - type=case, - ) - - -def test_trafo_asym(): - nw_dir = os.path.abspath(os.path.join(pp_dir, "test/loadflow")) - # only 3 vector groups are supported in the 3ph power flow - for trafo_vector_group in ["YNyn", "Dyn", "Yzn"]: - net = from_json(nw_dir + "/runpp_3ph Validation.json") - net["trafo"].vector_group = trafo_vector_group - runpp_3ph_with_consistency_checks(net) - assert net["converged"] - check_results(net, trafo_vector_group, get_PF_Results(trafo_vector_group)) - - -def _test_trafo_shifts(net, rtol): - # Dyn - for clock in [-30, 30, 150, 210, -150]: - net.trafo.vector_group = "Dyn" - net.trafo.shift_degree = clock - runpp_3ph_with_consistency_checks(net) - trafo_currents_consistent_3ph(net, rtol) - - # YNyn - for clock in [0, 180, -180]: - net["trafo"].vector_group = "YNyn" - net["trafo"].shift_degree = clock - runpp_3ph_with_consistency_checks(net) - trafo_currents_consistent_3ph(net, rtol) - - -def test_trafo_asym_currents__high_neg_seq(): - """ - Tests trafo currents consistency in asymmetric load flow. - In order to verify current consistency between HT and LT side, we need to make - shunt admittance zero, so that no load currents do not disturb HT side currents. - For this reason, pfe_kw = 0, i0_percent = 0, mag0_percent = BIG_NUMBER. - """ - net = pandapowerNet(name="test_trafo_asym_currents__high_neg_seq") - add_zero_impedance_parameters(net) - create_bus(net, 11, "source") - create_bus(net, 11, "HT") - create_bus(net, 0.4, "LT") - create_ext_grid(net, bus=0, vm_pu=1.0, s_sc_max_mva=9.99e20, rx_max=0.1, x0x_max=1.0, r0x0_max=0.1) - create_line_from_parameters( - net, 0, 1, 1, 0.2, 0.33, 0, max_i_ka=10, r0_ohm_per_km=0.2, x0_ohm_per_km=0.33, c0_nf_per_km=0, g0_gs_per_km=0 - ) - create_transformer_from_parameters( - net=net, - hv_bus=1, - lv_bus=2, - sn_mva=10, - vn_hv_kv=11, - vn_lv_kv=0.415, - vkr_percent=0, - vk_percent=4, - pfe_kw=0, - i0_percent=0, - shift_degree=-30, - vector_group="Dyn", - vk0_percent=4, - vkr0_percent=0, - mag0_percent=1e22, - mag0_rx=0, - si0_hv_partial=50, - ) - create_asymmetric_load(net, 2, 1.6, 0.44019238, 0.95980762, 0.8, 0.86961524, -0.16961524) - _test_trafo_shifts(net, rtol=1e-9) - - -def test_2trafos(): - net = pandapowerNet(name="test_2trafos") - make_nw(net, 10., 0., "wye", "YNyn") - make_nw(net, 10., 0., "wye", "YNyn") - runpp_3ph_with_consistency_checks(net) - assert net["converged"] - assert np.allclose(net.res_ext_grid_3ph.iloc[0].values, net.res_ext_grid_3ph.iloc[1].values) - - -def test_3ph_isolated_nodes(): - v_base = 110 # 110kV Base Voltage - mva_base = 100 # 100 MVA - net = pandapowerNet(name="test_3ph_isolated_nodes", sn_mva=mva_base) - - busn = create_bus(net, vn_kv=v_base, name="busn", index=1) - create_bus(net, vn_kv=20.0, in_service=True, index=2, name="busx") - busk = create_bus(net, vn_kv=v_base, name="busk", index=5) - busl = create_bus(net, vn_kv=v_base, name="busl", index=6) - create_bus(net, vn_kv=20.0, in_service=False, index=3) - busy = create_bus(net, vn_kv=20.0, in_service=True, index=0, name="busy") - - create_ext_grid(net, bus=busn, vm_pu=1.0, name="Grid Connection", s_sc_max_mva=5000, rx_max=0.1) - net.ext_grid["r0x0_max"] = 0.1 - net.ext_grid["x0x_max"] = 1.0 - create_std_type( - net, - { - "r0_ohm_per_km": 0.0848, - "x0_ohm_per_km": 0.4649556, - "c0_nf_per_km": 230.6, - "g0_us_per_km": 0, - "max_i_ka": 0.963, - "r_ohm_per_km": 0.0212, - "x_ohm_per_km": 0.1162389, - "c_nf_per_km": 230, - }, - "example_type", - ) - # Loads on supplied buses - create_asymmetric_load(net, busk, p_a_mw=50, q_a_mvar=50, p_b_mw=10, q_b_mvar=15, p_c_mw=10, q_c_mvar=5) - create_load(net, bus=busl, p_mw=7, q_mvar=0.070, name="Load 1") - # Loads on unsupplied buses - create_load(net, bus=busy, p_mw=70, q_mvar=70, name="Load Y") - create_line(net, from_bus=busn, to_bus=busk, length_km=50.0, std_type="example_type") - create_line(net, from_bus=busl, to_bus=busk, length_km=50.0, std_type="example_type") - add_zero_impedance_parameters(net) - runpp_3ph_with_consistency_checks(net) - assert net["converged"] - assert np.allclose( - net.res_bus_3ph.T[[0, 2, 3]].T[["vm_a_pu", "va_a_degree", "vm_b_pu", "va_b_degree", "vm_c_pu", "va_c_degree"]], - np.nan, - equal_nan=True, - ) - assert np.allclose( - net.res_bus_3ph.T[[0, 2, 3]].T[["p_a_mw", "q_a_mvar", "p_b_mw", "q_b_mvar", "p_c_mw", "q_c_mvar"]], 0.0 - ) - - -def test_balanced_power_flow_with_unbalanced_loads_and_sgens(): - net = pandapowerNet(name="test_balanced_power_flow_with_unbalanced_loads_and_sgens", sn_mva=100) - make_nw(net, 10, 0, "wye", "Dyn") - create_asymmetric_sgen(net, 1, p_a_mw=0.01, p_b_mw=0.02, scaling=0.8) - runpp_with_consistency_checks(net) - - vm_pu = net.res_bus.vm_pu - - net.asymmetric_load.in_service = False - create_load( - net, - bus=net.asymmetric_load.bus.iloc[0], - scaling=net.asymmetric_load.scaling.iloc[0], - p_mw=net.asymmetric_load.loc[0, ["p_a_mw", "p_b_mw", "p_c_mw"]].sum(), - q_mvar=net.asymmetric_load.loc[0, ["q_a_mvar", "q_b_mvar", "q_c_mvar"]].sum(), - ) - runpp_with_consistency_checks(net) - assert net.res_bus.vm_pu.equals(vm_pu) - - net.asymmetric_sgen.in_service = False - create_sgen( - net, - bus=net.asymmetric_sgen.bus.iloc[0], - scaling=net.asymmetric_sgen.scaling.iloc[0], - p_mw=net.asymmetric_sgen.loc[0, ["p_a_mw", "p_b_mw", "p_c_mw"]].sum(), - q_mvar=net.asymmetric_sgen.loc[0, ["q_a_mvar", "q_b_mvar", "q_c_mvar"]].sum(), - ) - runpp_with_consistency_checks(net) - assert net.res_bus.vm_pu.equals(vm_pu) - - -def test_3ph_with_impedance(): - nw_dir = os.path.abspath(os.path.join(pp_dir, "test/loadflow")) - net = from_json(nw_dir + "/runpp_3ph Validation.json") - net.line.c_nf_per_km = 0.0 - net.line.g_nf_per_km = 0.0 - net.line["c0_nf_per_km"] = 0.0 - net.line["g0_us_per_km"] = 0.0 - net_imp = copy.deepcopy(net) - replace_line_by_impedance(net_imp, net.line.index, 100) - runpp_3ph(net) - runpp_3ph(net_imp) - assert dataframes_equal(net.res_bus_3ph, net_imp.res_bus_3ph) - - -def test_shunt_3ph(): - net = pandapowerNet(name="test_shunt_3ph") - b1 = create_bus(net, 20.0) - b2 = create_bus(net, 20.0) - create_ext_grid(net, b1, s_sc_max_mva=1000, rx_max=0.1, x0x_max=1.0, r0x0_max=0.1) - create_line_from_parameters( - net, - b1, - b2, - length_km=1, - r_ohm_per_km=1, - x_ohm_per_km=1, - c_nf_per_km=1, - r0_ohm_per_km=1, - x0_ohm_per_km=1, - c0_nf_per_km=1, - max_i_ka=1, - ) - create_shunt(net, in_service=True, bus=b2, p_mw=1, q_mvar=1) - runpp_3ph(net) - - bus_cols = ["vm_a_pu", "va_a_degree", "vm_b_pu", "va_b_degree", "vm_c_pu", "va_c_degree"] - bus_pp = np.abs(net.res_bus_3ph[bus_cols].values) - bus_expected = np.abs( - np.array( - [ - [1.0, 0.0, 1.0, -120.0, 1.0, 120.0], - [ - 0.9950250311521571, - -8.955222949441059e-06, - 0.995025031152157, - -120.00000895522294, - 0.995025031152157, - 119.99999104477705, - ], - ] - ) - ) - - assert np.max(np.abs(bus_pp - bus_expected)) < 1e-5 - - line_cols = [ - "p_a_from_mw", - "q_a_from_mvar", - "p_b_from_mw", - "q_b_from_mvar", - "q_c_from_mvar", - "p_a_to_mw", - "q_a_to_mvar", - "p_b_to_mw", - "q_b_to_mvar", - "p_c_to_mw", - "q_c_to_mvar", - ] - line_power_pp = np.abs(net.res_line_3ph[line_cols].values) - line_power_expected = np.abs( - np.array( - [ - [ - 0.33167495789351165, - 0.33163327786948577, - 0.33167495789351165, - 0.33163327786948565, - 0.33163327786948565, - -0.3300249368894127, - -0.3300249368948133, - -0.3300249368894127, - -0.3300249368948133, - -0.3300249368894127, - -0.3300249368948134, - ] - ] - ) - ) - assert np.max(np.abs(line_power_pp - line_power_expected)) < 1e-5 - - -@pytest.mark.xfail -def test_3ph_enforce_q_lims(result_test_network): - v_tol = 1e-6 - s_tol = 5e-3 - - _net = result_test_network - buses = _net.bus[_net.bus.zone == "test_enforce_qlims"] - gens = [x for x in _net.gen.index if _net.gen.bus[x] in buses.index] - b2 = buses.index[1] - b3 = buses.index[2] - g1 = gens[0] - - # enforce reactive power limits - runpp_3ph(_net, enforce_q_lims=True) - - # powerfactory results - u2 = 1.00607194 - u3 = 1.00045091 - - assert abs(_net.res_bus.vm_pu.at[b2] - u2) < v_tol - assert abs(_net.res_bus.vm_pu.at[b3] - u3) < v_tol - assert abs(_net.res_gen.q_mvar.at[g1] - _net.gen.min_q_mvar.at[g1]) < s_tol - -def test_gen_3ph_loadflow(): - net = pandapowerNet(name="test_gen_3ph_loadflow", f_hz=50, add_stdtypes=False) - add_zero_impedance_parameters(net) - - create_bus(net, vn_kv=110.0, index=0) - create_bus(net, vn_kv=110.0, index=1) - create_bus(net, vn_kv=110.0, index=2) - - create_line_from_parameters(net, 0, 1, 25, 0, 10 / 25, 238.78 / 25, 100) - create_line_from_parameters(net, 0, 2, 25, 0, 10 / 25, 238.78 / 25, 100) - create_line_from_parameters(net, 2, 1, 25, 0, 10 / 25, 238.78 / 25, 100) - - create_ext_grid(net, bus=2, vm_pu=1.018182, s_sc_max_mva=1e34) - - create_gen(net, bus=1, p_mw=70, q_mvar=0, vm_pu=1.027273) - - create_load(net, bus=0, p_mw=100, q_mvar=30) - - net.ext_grid.rx_max = 0.1 - net.ext_grid.x0x_max = 1 - net.ext_grid.r0x0_max = 0.1 - net.line.r0_ohm_per_km = 3 * net.line.r_ohm_per_km - net.line.x0_ohm_per_km = 3 * net.line.x_ohm_per_km - net.line.c0_nf_per_km = net.line.c_nf_per_km - - runpp_3ph(net) - - assert "res_gen_3ph" in net - - assert net.res_gen_3ph.p_a_mw[0] < 100 - assert net.res_gen_3ph.p_b_mw[0] < 100 - assert net.res_gen_3ph.p_c_mw[0] < 100 - - assert net.res_gen_3ph.q_a_mvar[0] < 100 - assert net.res_gen_3ph.q_a_mvar[0] < 100 - assert net.res_gen_3ph.q_a_mvar[0] < 100 - - assert np.isclose(net.res_gen_3ph.loc[0, ["p_a_mw", "p_b_mw", "p_c_mw"]].sum(), 70.0) - assert np.isclose(net.res_gen_3ph.loc[0, ["q_a_mvar", "q_b_mvar", "q_c_mvar"]].sum(), 33.165882) - -@pytest.mark.xfail -def test_recycle_pq(): - net = pandapowerNet(name="test_recycle_pq") - _, b2, _ = add_grid_connection(net) - pl = 1.2 - ql = 1.1 - ps = 0.5 - u_set = 1.0 - - b3 = create_bus(net, vn_kv=0.4) - create_bus(net, vn_kv=0.4, in_service=False) - create_line_from_parameters( - net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 - ) - create_load(net, b3, p_mw=pl, q_mvar=ql) - create_gen(net, b2, p_mw=ps, vm_pu=u_set) - pl = 1.2 - ql = 0.0 - net["load"].at[0, "q_mvar"] = ql - runpp_3ph(net, recycle={"trafo": False, "gen": False, "bus_pq": True}) - assert np.allclose(net.res_load.at[0, "p_mw"], pl) - assert np.allclose(net.res_load.at[0, "q_mvar"], ql) - pl = 0.8 - ql = 0.55 - net.load.at[0, "p_mw"] = pl - net["load"].at[0, "q_mvar"] = ql - runpp_3ph(net, recycle={"bus_pq": True, "trafo": False, "gen": False}) - assert np.allclose(net.res_load.p_mw.iloc[0], pl) - assert np.allclose(net.res_load.q_mvar.iloc[0], ql) - - -@pytest.mark.xfail -def test_connectivity_check_island_without_pv_bus(): - # Network with islands without pv bus -> all buses in island should be set out of service - _net = create_cigre_network_mv(with_der=False) - iso_buses, iso_p, iso_q, *_ = get_isolated(_net) - assert len(iso_buses) == 0 - assert np.isclose(iso_p, 0) - assert np.isclose(iso_q, 0) - - isolated_bus1 = create_bus(_net, vn_kv=20.0, name="isolated Bus1") - isolated_bus2 = create_bus(_net, vn_kv=20.0, name="isolated Bus2") - create_line( - _net, isolated_bus2, isolated_bus1, length_km=1, std_type="N2XS(FL)2Y 1x300 RM/35 64/110 kV", name="IsolatedLine" - ) - iso_buses, iso_p, iso_q, *_ = get_isolated(_net) - assert len(iso_buses) == 2 - assert np.isclose(iso_p, 0) - assert np.isclose(iso_q, 0) - - create_load(_net, isolated_bus1, p_mw=0.2, q_mvar=0.02) - create_sgen(_net, isolated_bus2, p_mw=0.15, q_mvar=0.01) - - # with pytest.warns(UserWarning): - iso_buses, iso_p, iso_q, *_ = get_isolated(_net) - assert len(iso_buses) == 2 - assert np.isclose(iso_p, 350) - assert np.isclose(iso_q, 30) - # with pytest.warns(UserWarning): - runpp_3ph(_net, check_connectivity=True) - - -@pytest.mark.xfail -@pytest.mark.parametrize("numba", [True, False]) -def test_z_switch(numba): - net = pandapowerNet(name="test_z_switch") - for i in range(3): - create_bus(net, vn_kv=0.4) - create_load(net, i, p_mw=0.1) - create_ext_grid(net, 0, vm_pu=1.0) - create_line_from_parameters( - net, 0, 1, 1, r_ohm_per_km=0.1 / np.sqrt(2), x_ohm_per_km=0.1 / np.sqrt(2), c_nf_per_km=0, max_i_ka=0.2 - ) - create_switch(net, 0, 2, et="b", z_ohm=0.1) - - runpp_3ph(net, numba=numba, switch_rx_ratio=1) - assert pytest.approx(net.res_bus.vm_pu.at[1], abs=1e-9) == net.res_bus.vm_pu.at[2] - - net_zero_z_switch = copy.deepcopy(net) - net_zero_z_switch.switch.z_ohm = 0 - runpp(net_zero_z_switch, numba=numba, switch_rx_ratio=1) - assert pytest.approx(net_zero_z_switch.res_bus.vm_pu.at[0], abs=1e-9) == net_zero_z_switch.res_bus.vm_pu.at[2] - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +""" +Created on Wed May 2 17:06:25 2018 +Tests 3 phase power flow algorithm +@author: sghosh +""" + +import os + +import numpy as np +import pytest +import copy + +from pandapower.networks import create_cigre_network_mv +from pandapower.toolbox.grid_modification import replace_line_by_impedance +from pandapower.auxiliary import get_free_id +from pandapower.create import ( + create_bus, + create_ext_grid, + create_line, + create_asymmetric_load, + create_line_from_parameters, + create_load, + create_transformer_from_parameters, + create_sgen, + create_asymmetric_sgen, + create_shunt, + create_gen, + create_switch, +) +from pandapower.file_io import from_json +from pandapower.network import pandapowerNet +from pandapower.pf.runpp_3ph import runpp_3ph +from pandapower.run import runpp +from pandapower.std_types import create_std_type, add_zero_impedance_parameters +from pandapower.toolbox.comparison import dataframes_equal + +from test import test_path +from test.consistency_checks import ( + runpp_3ph_with_consistency_checks, + runpp_with_consistency_checks, + trafo_currents_consistent_3ph, +) +from test.loadflow.PF_Results import get_PF_Results +from test.conftest import result_test_network +from test.helper_functions import add_grid_connection +from test.loadflow.test_runpp import get_isolated + + +@pytest.fixture +def test_net(): + v_base = 110 # 110kV Base Voltage + k_va_base = 100 # 100 MVA + net = pandapowerNet(name="test_net", sn_mva=k_va_base) + create_bus(net, vn_kv=v_base, index=1) + create_bus(net, vn_kv=v_base, index=5) + create_ext_grid(net, bus=1, vm_pu=1.0, s_sc_max_mva=5000, rx_max=0.1, r0x0_max=0.1, x0x_max=1.0) + create_std_type( + net, + { + "r0_ohm_per_km": 0.0848, + "x0_ohm_per_km": 0.4649556, + "c0_nf_per_km": 230.6, + "g0_us_per_km": 0, + "max_i_ka": 0.963, + "r_ohm_per_km": 0.0212, + "x_ohm_per_km": 0.1162389, + "c_nf_per_km": 230, + }, + "example_type", + ) + create_line(net, from_bus=1, to_bus=5, length_km=50.0, std_type="example_type") + + create_asymmetric_load(net, 5, p_a_mw=50, q_a_mvar=50, p_b_mw=10, q_b_mvar=15, p_c_mw=10, q_c_mvar=5) + return net + + +def check_it(net): + bus_pp = np.abs(net.res_bus_3ph[["vm_a_pu", "vm_b_pu", "vm_c_pu"]][~np.isnan(net.res_bus_3ph.vm_a_pu)].values) + bus_pf = np.abs(np.array([[0.96742893, 1.01302766, 1.019784], [0.74957533, 1.09137945, 1.05124282]])) + assert np.max(np.abs(bus_pp - bus_pf)) < 1.1e-6 + line_pp = np.abs( + net.res_line_3ph[~np.isnan(net.res_line_3ph.i_a_from_ka)][ + [ + "i_a_from_ka", + "i_a_to_ka", + "i_b_from_ka", + "i_b_to_ka", + "i_c_from_ka", + "i_c_to_ka", + "p_a_from_mw", + "p_a_to_mw", + "q_a_from_mvar", + "q_a_to_mvar", + "p_b_from_mw", + "p_b_to_mw", + "q_b_from_mvar", + "q_b_to_mvar", + "p_c_from_mw", + "p_c_to_mw", + "q_c_from_mvar", + "q_c_to_mvar", + "loading_a_percent", + "loading_b_percent", + "loading_c_percent", + "loading_percent", + ] + ].values + ) + line_pf = np.abs( + np.array( + [ + [ + 1.34212045, + 1.48537916, + 0.13715552, + 0.26009611, + 0.22838401, + 0.1674634, + 55.70772301, + (-49.999992954), + 60.797262682, + (-49.999959283), + 8.7799379802, + (-9.9999996625), + (-0.88093549983), + (-15.000000238), + 9.3739293122, + (-10.000000161), + (-11.441663679), + (-4.9999997418), + 154.2452, + 27.00894, + 23.71589, + 154.2452, + ] + ] + ) + ) + assert np.max(np.abs(line_pp - line_pf)) < 1.1e-4 + + +def test_2bus_network(test_net): + # -o---o + add_zero_impedance_parameters(test_net) + runpp_3ph_with_consistency_checks(test_net) + assert test_net["converged"] + check_it(test_net) + + +def test_2bus_network_single_isolated_busses(test_net): + # -o---o o x + create_bus(test_net, vn_kv=110) + create_bus(test_net, vn_kv=110, in_service=False) + add_zero_impedance_parameters(test_net) + runpp_3ph_with_consistency_checks(test_net) + assert test_net["converged"] + check_it(test_net) + + +def test_2bus_network_isolated_net_part(test_net): + # -o---o o---o + b1 = create_bus(test_net, vn_kv=110) + b2 = create_bus(test_net, vn_kv=110) + create_line(test_net, from_bus=b1, to_bus=b2, length_km=50.0, std_type="example_type") + create_asymmetric_load(test_net, b2, p_a_mw=50, q_a_mvar=50, p_b_mw=10, q_b_mvar=15, p_c_mw=10, q_c_mvar=5) + add_zero_impedance_parameters(test_net) + runpp_3ph_with_consistency_checks(test_net) + assert test_net["converged"] + check_it(test_net) + + +def test_2bus_network_singel_oos_bus(test_net): + # -o---x---o + b1 = create_bus(test_net, vn_kv=110) + test_net.bus.loc[5, "in_service"] = False + create_line(test_net, from_bus=5, to_bus=b1, length_km=10.0, std_type="example_type") + create_asymmetric_load(test_net, b1, p_a_mw=-5, q_a_mvar=5, p_b_mw=-1, q_b_mvar=1.5, p_c_mw=-1, q_c_mvar=0.5) + add_zero_impedance_parameters(test_net) + runpp_3ph_with_consistency_checks(test_net) + assert test_net["converged"] + + +def test_out_serv_load(test_net): + # <-x--o------o + add_zero_impedance_parameters(test_net) + runpp_3ph_with_consistency_checks(test_net) + assert test_net["converged"] + check_it(test_net) + create_asymmetric_load( + test_net, 5, p_a_mw=50, q_a_mvar=100, p_b_mw=29, q_b_mvar=38, p_c_mw=10, q_c_mvar=5, in_service=False + ) + runpp_3ph_with_consistency_checks(test_net) + assert test_net["converged"] + check_it(test_net) + + +def test_2bus_network_one_of_two_ext_grids_oos(test_net): + """Out of service ext_grids should not affect the unbalanced powerflow""" + create_ext_grid( + test_net, bus=1, vm_pu=1.0, s_sc_max_mva=5000, rx_max=0.1, r0x0_max=0.1, x0x_max=1.0, in_service=False + ) + runpp_3ph(test_net) + assert test_net["converged"] + + +@pytest.mark.parametrize("init", ["auto", "results", "flat", "dc"]) +@pytest.mark.parametrize("recycle", [None, {"bus_pq": True, "Ybus": True}, {"bus_pq": True, "Ybus": False}]) +def test_4bus_network(init, recycle): + v_base = 110 # 110kV Base Voltage + mva_base = 100 # 100 MVA + net = pandapowerNet(name="test_4bus_network", sn_mva=mva_base) + # ============================================================================= + # Main Program + # ============================================================================= + busn = create_bus(net, vn_kv=v_base, name="busn") + busk = create_bus(net, vn_kv=v_base, name="busk") + busm = create_bus(net, vn_kv=v_base, name="busm") + busp = create_bus(net, vn_kv=v_base, name="busp") + create_ext_grid( + net, bus=busn, vm_pu=1.0, name="Grid Connection", s_sc_max_mva=5000, rx_max=0.1, r0x0_max=0.1, x0x_max=1.0 + ) + create_std_type( + net, + { + "r0_ohm_per_km": 0.154, + "x0_ohm_per_km": 0.5277876, + "c0_nf_per_km": 170.4, + "g0_us_per_km": 0, + "max_i_ka": 0.741, + "r_ohm_per_km": 0.0385, + "x_ohm_per_km": 0.1319469, + "c_nf_per_km": 170, + }, + "example_type3", + ) + create_line(net, from_bus=busn, to_bus=busm, length_km=1.0, std_type="example_type3") + create_line(net, from_bus=busn, to_bus=busp, length_km=1.0, std_type="example_type3") + create_line_from_parameters( + net, + from_bus=busn, + to_bus=busk, + length_km=1.0, + r0_ohm_per_km=0.1005, + x0_ohm_per_km=0.4900884, + c0_nf_per_km=200.5, + max_i_ka=0.89, + r_ohm_per_km=0.0251, + x_ohm_per_km=0.1225221, + c_nf_per_km=210, + ) + create_line_from_parameters( + net, + from_bus=busk, + to_bus=busm, + length_km=1.0, + r0_ohm_per_km=0.0848, + x0_ohm_per_km=0.4649556, + c0_nf_per_km=230.6, + max_i_ka=0.963, + r_ohm_per_km=0.0212, + x_ohm_per_km=0.1162389, + c_nf_per_km=230, + ) + create_line_from_parameters( + net, + from_bus=busk, + to_bus=busp, + length_km=1.0, + r0_ohm_per_km=0.3048, + x0_ohm_per_km=0.6031856, + c0_nf_per_km=140.3, + max_i_ka=0.531, + r_ohm_per_km=0.0762, + x_ohm_per_km=0.1507964, + c_nf_per_km=140, + ) + add_zero_impedance_parameters(net) + + create_asymmetric_load(net, busk, p_a_mw=50, q_a_mvar=20, p_b_mw=80, q_b_mvar=60, p_c_mw=20, q_c_mvar=5) + create_asymmetric_load(net, busm, p_a_mw=50, q_a_mvar=50, p_b_mw=10, q_b_mvar=15, p_c_mw=10, q_c_mvar=5) + create_asymmetric_load(net, busp, p_a_mw=50, q_a_mvar=20, p_b_mw=60, q_b_mvar=20, p_c_mw=10, q_c_mvar=5) + runpp_3ph_with_consistency_checks(net, init=init, recycle=recycle) + runpp_3ph_with_consistency_checks(net, init=init, recycle=recycle) + assert net["converged"] + + bus_pp = np.abs(net.res_bus_3ph[["vm_a_pu", "vm_b_pu", "vm_c_pu"]][~np.isnan(net.res_bus_3ph.vm_a_pu)].values) + bus_pf = np.abs( + np.array( + [ + [0.98085729, 0.97711997, 1.04353786], + [0.97828577, 0.97534651, 1.04470864], + [0.97774307, 0.97648197, 1.04421233], + [0.9780892, 0.97586805, 1.04471106], + ] + ) + ) + assert np.max(np.abs(bus_pp - bus_pf)) < 1e-8 + + line_pp = np.abs( + net.res_line_3ph[ + [ + "i_a_from_ka", + "i_b_from_ka", + "i_c_from_ka", + "i_a_to_ka", + "i_b_to_ka", + "i_c_to_ka", + "p_a_from_mw", + "p_b_from_mw", + "p_c_from_mw", + "q_a_from_mvar", + "q_b_from_mvar", + "q_c_from_mvar", + "p_a_to_mw", + "p_b_to_mw", + "p_c_to_mw", + "q_a_to_mvar", + "q_b_to_mvar", + "q_c_to_mvar", + "loading_a_percent", + "loading_b_percent", + "loading_c_percent", + "loading_percent", + ] + ].values + ) + line_pf = np.abs( + np.array( + [ + [ + 0.98898804851, + 0.68943734, + 0.19848961, + 0.99093993, + 0.69146384, + 0.19966503, + 49.87434308, + 33.86579548, + 12.44659879, + 36.16562613, + 26.14426519, + 4.25746428, + -49.75842138, + -33.90236497, + -12.45155362, + -36.19862688, + -26.25675246, + -4.50384238, + 133.730100000000, + 93.314960000000, + 26.945350000000, + 133.730100000000, + ], + [ + 0.87075816277, + 1.03463205, + 0.19072622, + 0.87210779, + 1.03599167, + 0.19188991, + 49.59359423, + 58.53676842, + 11.97553941, + 21.96967200, + 26.37559958, + 4.04458873, + -49.47110289, + -58.55284705, + -11.98669516, + -22.07474008, + -26.34476811, + -4.29078447, + 117.693400000000, + 139.809900000000, + 25.896070000000, + 139.809900000000, + ], + [ + 0.95760407055, + 1.14786582, + 0.24829126, + 0.95975383, + 1.15028040, + 0.24975553, + 50.87938854, + 57.53628873, + 15.54470531, + 31.13888557, + 41.99378843, + 5.39758513, + -50.76249094, + -57.56374777, + -15.56099267, + -31.28560646, + -41.99056453, + -5.69609575, + 107.837500000000, + 129.245000000000, + 28.062420000000, + 129.245000000000, + ], + [ + 0.21780921494, + 0.42795803, + 0.03706412, + 0.22229619, + 0.42603286, + 0.03771703, + 0.23292404, + -23.88471674, + -2.45255095, + 13.53037092, + -11.49972060, + 0.17971665, + -0.24157862, + 23.90236497, + 2.45155361, + -13.80137312, + 11.25675247, + -0.49615762, + 23.083720000000, + 44.440090000000, + 3.916618000000, + 44.440090000000, + ], + [ + 0.03712221482, + 0.10766244, + 0.03093505, + 0.03446871, + 0.10500386, + 0.03179428, + 0.52956690, + 1.44846452, + -1.98645639, + -2.24476446, + -6.50971485, + 0.51637910, + -0.52889712, + -1.44715295, + 1.98669515, + 2.07474008, + 6.34476812, + -0.70921554, + 6.991001000000, + 20.275410000000, + 5.987624000000, + 20.275410000000, + ], + ] + ) + ) + assert np.max(np.abs(line_pp - line_pf)) < 1e-4 + + +def test_3ph_bus_mapping_order(): + net = pandapowerNet(name="test_3ph_bus_mapping_order") + b2 = create_bus(net, vn_kv=0.4, index=4) + create_bus(net, vn_kv=0.4, in_service=False, index=3) + b1 = create_bus(net, vn_kv=0.4, index=7) + + create_ext_grid(net, b1, vm_pu=1.0, s_sc_max_mva=10, rx_max=0.1) + net.ext_grid["x0x_max"] = 1.0 + net.ext_grid["r0x0_max"] = 0.1 + create_std_type( + net, + { + "r_ohm_per_km": 0.1013, + "x_ohm_per_km": 0.06911504, + "c_nf_per_km": 690, + "g_us_per_km": 0, + "max_i_ka": 0.44, + "c0_nf_per_km": 312.4, + "g0_us_per_km": 0, + "r0_ohm_per_km": 0.4053, + "x0_ohm_per_km": 0.2764602, + }, + "N2XRY 3x185sm 0.6/1kV", + ) + + create_line(net, b1, b2, 1.0, std_type="N2XRY 3x185sm 0.6/1kV", index=4) + create_line(net, b1, b2, 1.0, std_type="N2XRY 3x185sm 0.6/1kV", index=3, in_service=False) + create_line(net, b1, b2, 1.0, std_type="N2XRY 3x185sm 0.6/1kV", index=7) + add_zero_impedance_parameters(net) + create_load(net, b2, p_mw=0.030, q_mvar=0.030) + runpp(net) + runpp_3ph_with_consistency_checks(net) + assert net["converged"] + + assert np.allclose(net.res_bus_3ph.vm_a_pu.values, net.res_bus.vm_pu.values, equal_nan=True) + assert net.res_bus_3ph.index.tolist() == net.res_bus.index.tolist() + + assert net.res_line_3ph.index.tolist() == net.res_line.index.tolist() + assert np.allclose( + net.res_line.p_from_mw, + net.res_line_3ph.p_a_from_mw + net.res_line_3ph.p_b_from_mw + net.res_line_3ph.p_c_from_mw, + ) + assert np.allclose(net.res_line.loading_percent, net.res_line_3ph.loading_a_percent) + + +def test_3ph_two_bus_line_powerfactory(): + net = pandapowerNet(name="test_3ph_two_bus_line_powerfactory") + + b1 = create_bus(net, vn_kv=0.4) + b2 = create_bus(net, vn_kv=0.4) + + create_ext_grid(net, b1, vm_pu=1.0, s_sc_max_mva=10, rx_max=0.1) + net.ext_grid["x0x_max"] = 1.0 + net.ext_grid["r0x0_max"] = 0.1 + create_std_type( + net, + { + "r_ohm_per_km": 0.1013, + "x_ohm_per_km": 0.06911504, + "c_nf_per_km": 690, + "g_us_per_km": 0, + "max_i_ka": 0.44, + "c0_nf_per_km": 312.4, + "g0_us_per_km": 0, + "r0_ohm_per_km": 0.4053, + "x0_ohm_per_km": 0.2764602, + }, + "N2XRY 3x185sm 0.6/1kV", + ) + + create_line(net, b1, b2, 0.4, std_type="N2XRY 3x185sm 0.6/1kV") + add_zero_impedance_parameters(net) + create_load(net, b2, p_mw=0.010, q_mvar=0.010) + create_asymmetric_load( + net, b2, p_a_mw=0.020, q_a_mvar=0.010, p_b_mw=0.015, q_b_mvar=0.005, p_c_mw=0.025, q_c_mvar=0.010 + ) + runpp_3ph_with_consistency_checks(net) + assert net["converged"] + + bus_pp = np.abs(net.res_bus_3ph[["vm_a_pu", "vm_b_pu", "vm_c_pu"]].values) + bus_pf = np.abs( + np.array([[0.99939853552, 1.0013885141, 0.99921580141], [0.97401782343, 0.98945593737, 0.96329605983]]) + ) + + assert np.max(np.abs(bus_pp - bus_pf)) < 4e-6 + + line_pp = np.abs( + net.res_line_3ph[ + [ + "i_a_from_ka", + "i_b_from_ka", + "i_c_from_ka", + "i_a_to_ka", + "i_b_to_ka", + "i_c_to_ka", + "p_a_from_mw", + "p_b_from_mw", + "p_c_from_mw", + "q_a_from_mvar", + "q_b_from_mvar", + "q_c_from_mvar", + "p_a_to_mw", + "p_b_to_mw", + "p_c_to_mw", + "q_a_to_mvar", + "q_b_to_mvar", + "q_c_to_mvar", + ] + ].values + ) + line_pf = np.abs( + np.array( + [ + [ + 0.11946088987, + 0.08812337783, + 0.14074226065, + 0.1194708224, + 0.088131567331, + 0.14075063601, + 0.023810539354, + 0.01855791658, + 0.029375192747, + 0.013901720672, + 0.008421814704, + 0.013852398586, + -0.023333142958, + -0.018333405987, + -0.028331643666, + -0.013332756527, + -0.008333413919, + -0.013332422725, + ] + ] + ) + ) + assert np.max(np.abs(line_pp - line_pf)) < 1e-5 + + line_load_pp = np.abs( + net.res_line_3ph[["loading_a_percent", "loading_b_percent", "loading_c_percent", "loading_percent"]].values + ) + line_load_pf = np.abs(np.array([[27.1525, 20.0299, 31.98878, 31.98878]])) + assert np.max(np.abs(line_load_pp - line_load_pf)) < 1e-2 + + +def check_bus_voltages(net, result, trafo_vector_group): + res_vm_pu = [] + ordered_bus_table = net.bus.sort_values(by="name").reset_index(drop=True) + for i in range(len(ordered_bus_table)): + index = net.bus[net.bus.name == ordered_bus_table["name"][i]].index[0] + res_vm_pu.append(net.res_bus_3ph.vm_a_pu[index]) + res_vm_pu.append(net.res_bus_3ph.vm_b_pu[index]) + res_vm_pu.append(net.res_bus_3ph.vm_c_pu[index]) + + # max_tol = 0 + # for tol in [1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6, 1e-7]: + # if np.allclose(result, res_vm_pu, atol=tol): + # max_tol = tol + # print('Voltage Magnitude for %s is within tolerance of %s' % (trafo_vector_group, max_tol)) + + tolerances = {"YNyn": 1e-05, "Dyn": 1e-05, "Yzn": 1e-03} + + assert np.allclose(result, res_vm_pu, atol=tolerances[trafo_vector_group], rtol=0), ( + f"Incorrect results for {trafo_vector_group}" + ) + + +def check_line_currents(net, result, trafo_vector_group): + res_line_i_ka = [] + ordered_line_table = net.line.sort_values(by="name").reset_index(drop=True) + for i in range(len(ordered_line_table)): + index = net.line[net.line.name == ordered_line_table["name"][i]].index[0] + res_line_i_ka.append(net.res_line_3ph.i_a_from_ka[index]) + res_line_i_ka.append(net.res_line_3ph.i_b_from_ka[index]) + res_line_i_ka.append(net.res_line_3ph.i_c_from_ka[index]) + res_line_i_ka.append(net.res_line_3ph.i_a_to_ka[index]) + res_line_i_ka.append(net.res_line_3ph.i_b_to_ka[index]) + res_line_i_ka.append(net.res_line_3ph.i_c_to_ka[index]) + + # max_tol = 0 + # for tol in [1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6, 1e-7]: + # if np.allclose(result, res_line_i_ka, atol=tol): + # max_tol = tol + # print('Line current for %s is within tolerance of %s' % (trafo_vector_group, max_tol)) + + tolerances = {"YNyn": 1e-07, "Dyn": 1e-07, "Yzn": 1e-04} + + assert np.allclose(result, res_line_i_ka, atol=tolerances[trafo_vector_group]) + if not np.allclose(result, res_line_i_ka, atol=tolerances[trafo_vector_group]): + raise ValueError("Incorrect results for vector group %s" % trafo_vector_group, res_line_i_ka, result) + + +def check_trafo_currents(net, result, trafo_vector_group): + res_trafo_i_ka = [] + ordered_trafo_table = net.trafo.sort_values(by="name").reset_index(drop=True) + for i in range(len(ordered_trafo_table)): + index = net.trafo[net.trafo.name == ordered_trafo_table["name"][i]].index[0] + res_trafo_i_ka.append(net.res_trafo_3ph.i_a_hv_ka[index]) + res_trafo_i_ka.append(net.res_trafo_3ph.i_b_hv_ka[index]) + res_trafo_i_ka.append(net.res_trafo_3ph.i_c_hv_ka[index]) + res_trafo_i_ka.append(net.res_trafo_3ph.i_a_lv_ka[index]) + res_trafo_i_ka.append(net.res_trafo_3ph.i_b_lv_ka[index]) + res_trafo_i_ka.append(net.res_trafo_3ph.i_c_lv_ka[index]) + + # max_tol = 0 + # for tol in [1e-1, 1e-2, 1e-3, 1e-4, 1e-5, 1e-6, 1e-7]: + # if np.allclose(result, res_trafo_i_ka, atol=tol): + # max_tol = tol + # print('Trafo current for %s is within tolerance of %s' % (trafo_vector_group, max_tol)) + + tolerances = {"YNyn": 1e-03, "Dyn": 1e-03, "Yzn": 1e-03} + + assert np.allclose(result, res_trafo_i_ka, atol=tolerances[trafo_vector_group]) + if not np.allclose(result, res_trafo_i_ka, atol=tolerances[trafo_vector_group]): + raise ValueError("Incorrect results for vector group %s" % trafo_vector_group, res_trafo_i_ka, result) + + +def check_results(_net, trafo_vector_group, results): + check_bus_voltages(_net, results[0], trafo_vector_group) + check_line_currents(_net, results[1], trafo_vector_group) + check_trafo_currents(_net, results[2], trafo_vector_group) + + +def make_nw(net, bushv, tap_ps, case, vector_group): + b1 = create_bus(net, bushv, zone=vector_group, index=get_free_id(net.bus)) + b2 = create_bus(net, 0.4, zone=vector_group) + b3 = create_bus(net, 0.4, zone=vector_group) + create_ext_grid(net, b1, s_sc_max_mva=10000, rx_max=0.1, r0x0_max=0.1, x0x_max=1.0) + create_transformer_from_parameters( + net, + hv_bus=b1, + lv_bus=b2, + sn_mva=1.6, + vn_hv_kv=10, + vn_lv_kv=0.4, + vk_percent=6, + vkr_percent=0.78125, + pfe_kw=2.7, + i0_percent=0.16875, + shift_degree=0, + tap_side="lv", + tap_neutral=0, + tap_min=-2, + tap_max=2, + tap_step_degree=0, + tap_step_percent=2.5, + tap_changer_type="Ratio", + vk0_percent=6, + vkr0_percent=0.78125, + mag0_percent=10000, + mag0_rx=0.0, + si0_hv_partial=0.9, + vector_group=vector_group, + parallel=1, + tap_pos=tap_ps, + index=get_free_id(net.trafo) + 1, + ) + create_line_from_parameters( + net, + b2, + b3, + length_km=0.5, + r_ohm_per_km=0.1941, + x_ohm_per_km=0.07476991, + c_nf_per_km=1160.0, + max_i_ka=0.421, + endtemp_degree=70.0, + r0_ohm_per_km=0.7766, + x0_ohm_per_km=0.2990796, + c0_nf_per_km=496.2, + index=get_free_id(net.line) + 1, + ) + if case == "bal_wye": + # Symmetric Load + create_load(net, b3, 0.08, 0.012, type="wye") + elif case == "delta_wye": + # Unsymmetric Light Load + create_asymmetric_load( + net, + b3, + p_a_mw=0.0044, + q_a_mvar=0.0013, + p_b_mw=0.0044, + q_b_mvar=0.0013, + p_c_mw=0.0032, + q_c_mvar=0.0013, + type="wye", + ) + create_asymmetric_load( + net, + b3, + p_a_mw=0.0300, + q_a_mvar=0.0048, + p_b_mw=0.0280, + q_b_mvar=0.0036, + p_c_mw=0.027, + q_c_mvar=0.0043, + type="delta", + ) + elif case == "wye" or case == "delta": + # Unsymmetric Heavy Load + create_asymmetric_load( + net, + b3, + p_a_mw=0.0300, + q_a_mvar=0.0048, + p_b_mw=0.0280, + q_b_mvar=0.0036, + p_c_mw=0.027, + q_c_mvar=0.0043, + type=case, + ) + + +def test_trafo_asym(): + nw_dir = os.path.abspath(os.path.join(test_path, "loadflow")) + # only 3 vector groups are supported in the 3ph power flow + for trafo_vector_group in ["YNyn", "Dyn", "Yzn"]: + net = from_json(nw_dir + "/runpp_3ph Validation.json") + net["trafo"].vector_group = trafo_vector_group + runpp_3ph_with_consistency_checks(net) + assert net["converged"] + check_results(net, trafo_vector_group, get_PF_Results(trafo_vector_group)) + + +def _test_trafo_shifts(net, rtol): + # Dyn + for clock in [-30, 30, 150, 210, -150]: + net.trafo.vector_group = "Dyn" + net.trafo.shift_degree = clock + runpp_3ph_with_consistency_checks(net) + trafo_currents_consistent_3ph(net, rtol) + + # YNyn + for clock in [0, 180, -180]: + net["trafo"].vector_group = "YNyn" + net["trafo"].shift_degree = clock + runpp_3ph_with_consistency_checks(net) + trafo_currents_consistent_3ph(net, rtol) + + +def test_trafo_asym_currents__high_neg_seq(): + """ + Tests trafo currents consistency in asymmetric load flow. + In order to verify current consistency between HT and LT side, we need to make + shunt admittance zero, so that no load currents do not disturb HT side currents. + For this reason, pfe_kw = 0, i0_percent = 0, mag0_percent = BIG_NUMBER. + """ + net = pandapowerNet(name="test_trafo_asym_currents__high_neg_seq") + add_zero_impedance_parameters(net) + create_bus(net, 11, "source") + create_bus(net, 11, "HT") + create_bus(net, 0.4, "LT") + create_ext_grid(net, bus=0, vm_pu=1.0, s_sc_max_mva=9.99e20, rx_max=0.1, x0x_max=1.0, r0x0_max=0.1) + create_line_from_parameters( + net, 0, 1, 1, 0.2, 0.33, 0, max_i_ka=10, r0_ohm_per_km=0.2, x0_ohm_per_km=0.33, c0_nf_per_km=0, g0_gs_per_km=0 + ) + create_transformer_from_parameters( + net=net, + hv_bus=1, + lv_bus=2, + sn_mva=10, + vn_hv_kv=11, + vn_lv_kv=0.415, + vkr_percent=0, + vk_percent=4, + pfe_kw=0, + i0_percent=0, + shift_degree=-30, + vector_group="Dyn", + vk0_percent=4, + vkr0_percent=0, + mag0_percent=1e22, + mag0_rx=0, + si0_hv_partial=50, + ) + create_asymmetric_load(net, 2, 1.6, 0.44019238, 0.95980762, 0.8, 0.86961524, -0.16961524) + _test_trafo_shifts(net, rtol=1e-9) + + +def test_2trafos(): + net = pandapowerNet(name="test_2trafos") + make_nw(net, 10., 0., "wye", "YNyn") + make_nw(net, 10., 0., "wye", "YNyn") + runpp_3ph_with_consistency_checks(net) + assert net["converged"] + assert np.allclose(net.res_ext_grid_3ph.iloc[0].values, net.res_ext_grid_3ph.iloc[1].values) + + +def test_3ph_isolated_nodes(): + v_base = 110 # 110kV Base Voltage + mva_base = 100 # 100 MVA + net = pandapowerNet(name="test_3ph_isolated_nodes", sn_mva=mva_base) + + busn = create_bus(net, vn_kv=v_base, name="busn", index=1) + create_bus(net, vn_kv=20.0, in_service=True, index=2, name="busx") + busk = create_bus(net, vn_kv=v_base, name="busk", index=5) + busl = create_bus(net, vn_kv=v_base, name="busl", index=6) + create_bus(net, vn_kv=20.0, in_service=False, index=3) + busy = create_bus(net, vn_kv=20.0, in_service=True, index=0, name="busy") + + create_ext_grid(net, bus=busn, vm_pu=1.0, name="Grid Connection", s_sc_max_mva=5000, rx_max=0.1) + net.ext_grid["r0x0_max"] = 0.1 + net.ext_grid["x0x_max"] = 1.0 + create_std_type( + net, + { + "r0_ohm_per_km": 0.0848, + "x0_ohm_per_km": 0.4649556, + "c0_nf_per_km": 230.6, + "g0_us_per_km": 0, + "max_i_ka": 0.963, + "r_ohm_per_km": 0.0212, + "x_ohm_per_km": 0.1162389, + "c_nf_per_km": 230, + }, + "example_type", + ) + # Loads on supplied buses + create_asymmetric_load(net, busk, p_a_mw=50, q_a_mvar=50, p_b_mw=10, q_b_mvar=15, p_c_mw=10, q_c_mvar=5) + create_load(net, bus=busl, p_mw=7, q_mvar=0.070, name="Load 1") + # Loads on unsupplied buses + create_load(net, bus=busy, p_mw=70, q_mvar=70, name="Load Y") + create_line(net, from_bus=busn, to_bus=busk, length_km=50.0, std_type="example_type") + create_line(net, from_bus=busl, to_bus=busk, length_km=50.0, std_type="example_type") + add_zero_impedance_parameters(net) + runpp_3ph_with_consistency_checks(net) + assert net["converged"] + assert np.allclose( + net.res_bus_3ph.T[[0, 2, 3]].T[["vm_a_pu", "va_a_degree", "vm_b_pu", "va_b_degree", "vm_c_pu", "va_c_degree"]], + np.nan, + equal_nan=True, + ) + assert np.allclose( + net.res_bus_3ph.T[[0, 2, 3]].T[["p_a_mw", "q_a_mvar", "p_b_mw", "q_b_mvar", "p_c_mw", "q_c_mvar"]], 0.0 + ) + + +def test_balanced_power_flow_with_unbalanced_loads_and_sgens(): + net = pandapowerNet(name="test_balanced_power_flow_with_unbalanced_loads_and_sgens", sn_mva=100) + make_nw(net, 10, 0, "wye", "Dyn") + create_asymmetric_sgen(net, 1, p_a_mw=0.01, p_b_mw=0.02, scaling=0.8) + runpp_with_consistency_checks(net) + + vm_pu = net.res_bus.vm_pu + + net.asymmetric_load.in_service = False + create_load( + net, + bus=net.asymmetric_load.bus.iloc[0], + scaling=net.asymmetric_load.scaling.iloc[0], + p_mw=net.asymmetric_load.loc[0, ["p_a_mw", "p_b_mw", "p_c_mw"]].sum(), + q_mvar=net.asymmetric_load.loc[0, ["q_a_mvar", "q_b_mvar", "q_c_mvar"]].sum(), + ) + runpp_with_consistency_checks(net) + assert net.res_bus.vm_pu.equals(vm_pu) + + net.asymmetric_sgen.in_service = False + create_sgen( + net, + bus=net.asymmetric_sgen.bus.iloc[0], + scaling=net.asymmetric_sgen.scaling.iloc[0], + p_mw=net.asymmetric_sgen.loc[0, ["p_a_mw", "p_b_mw", "p_c_mw"]].sum(), + q_mvar=net.asymmetric_sgen.loc[0, ["q_a_mvar", "q_b_mvar", "q_c_mvar"]].sum(), + ) + runpp_with_consistency_checks(net) + assert net.res_bus.vm_pu.equals(vm_pu) + + +def test_3ph_with_impedance(): + nw_dir = os.path.abspath(os.path.join(test_path, "loadflow")) + net = from_json(nw_dir + "/runpp_3ph Validation.json") + net.line.c_nf_per_km = 0.0 + net.line.g_nf_per_km = 0.0 + net.line["c0_nf_per_km"] = 0.0 + net.line["g0_us_per_km"] = 0.0 + net_imp = copy.deepcopy(net) + replace_line_by_impedance(net_imp, net.line.index, 100) + runpp_3ph(net) + runpp_3ph(net_imp) + assert dataframes_equal(net.res_bus_3ph, net_imp.res_bus_3ph) + + +def test_shunt_3ph(): + net = pandapowerNet(name="test_shunt_3ph") + b1 = create_bus(net, 20.0) + b2 = create_bus(net, 20.0) + create_ext_grid(net, b1, s_sc_max_mva=1000, rx_max=0.1, x0x_max=1.0, r0x0_max=0.1) + create_line_from_parameters( + net, + b1, + b2, + length_km=1, + r_ohm_per_km=1, + x_ohm_per_km=1, + c_nf_per_km=1, + r0_ohm_per_km=1, + x0_ohm_per_km=1, + c0_nf_per_km=1, + max_i_ka=1, + ) + create_shunt(net, in_service=True, bus=b2, p_mw=1, q_mvar=1) + runpp_3ph(net) + + bus_cols = ["vm_a_pu", "va_a_degree", "vm_b_pu", "va_b_degree", "vm_c_pu", "va_c_degree"] + bus_pp = np.abs(net.res_bus_3ph[bus_cols].values) + bus_expected = np.abs( + np.array( + [ + [1.0, 0.0, 1.0, -120.0, 1.0, 120.0], + [ + 0.9950250311521571, + -8.955222949441059e-06, + 0.995025031152157, + -120.00000895522294, + 0.995025031152157, + 119.99999104477705, + ], + ] + ) + ) + + assert np.max(np.abs(bus_pp - bus_expected)) < 1e-5 + + line_cols = [ + "p_a_from_mw", + "q_a_from_mvar", + "p_b_from_mw", + "q_b_from_mvar", + "q_c_from_mvar", + "p_a_to_mw", + "q_a_to_mvar", + "p_b_to_mw", + "q_b_to_mvar", + "p_c_to_mw", + "q_c_to_mvar", + ] + line_power_pp = np.abs(net.res_line_3ph[line_cols].values) + line_power_expected = np.abs( + np.array( + [ + [ + 0.33167495789351165, + 0.33163327786948577, + 0.33167495789351165, + 0.33163327786948565, + 0.33163327786948565, + -0.3300249368894127, + -0.3300249368948133, + -0.3300249368894127, + -0.3300249368948133, + -0.3300249368894127, + -0.3300249368948134, + ] + ] + ) + ) + assert np.max(np.abs(line_power_pp - line_power_expected)) < 1e-5 + + +@pytest.mark.xfail +def test_3ph_enforce_q_lims(result_test_network): + v_tol = 1e-6 + s_tol = 5e-3 + + _net = result_test_network + buses = _net.bus[_net.bus.zone == "test_enforce_qlims"] + gens = [x for x in _net.gen.index if _net.gen.bus[x] in buses.index] + b2 = buses.index[1] + b3 = buses.index[2] + g1 = gens[0] + + # enforce reactive power limits + runpp_3ph(_net, enforce_q_lims=True) + + # powerfactory results + u2 = 1.00607194 + u3 = 1.00045091 + + assert abs(_net.res_bus.vm_pu.at[b2] - u2) < v_tol + assert abs(_net.res_bus.vm_pu.at[b3] - u3) < v_tol + assert abs(_net.res_gen.q_mvar.at[g1] - _net.gen.min_q_mvar.at[g1]) < s_tol + +def test_gen_3ph_loadflow(): + net = pandapowerNet(name="test_gen_3ph_loadflow", f_hz=50, add_stdtypes=False) + add_zero_impedance_parameters(net) + + create_bus(net, vn_kv=110.0, index=0) + create_bus(net, vn_kv=110.0, index=1) + create_bus(net, vn_kv=110.0, index=2) + + create_line_from_parameters(net, 0, 1, 25, 0, 10 / 25, 238.78 / 25, 100) + create_line_from_parameters(net, 0, 2, 25, 0, 10 / 25, 238.78 / 25, 100) + create_line_from_parameters(net, 2, 1, 25, 0, 10 / 25, 238.78 / 25, 100) + + create_ext_grid(net, bus=2, vm_pu=1.018182, s_sc_max_mva=1e34) + + create_gen(net, bus=1, p_mw=70, q_mvar=0, vm_pu=1.027273) + + create_load(net, bus=0, p_mw=100, q_mvar=30) + + net.ext_grid.rx_max = 0.1 + net.ext_grid.x0x_max = 1 + net.ext_grid.r0x0_max = 0.1 + net.line.r0_ohm_per_km = 3 * net.line.r_ohm_per_km + net.line.x0_ohm_per_km = 3 * net.line.x_ohm_per_km + net.line.c0_nf_per_km = net.line.c_nf_per_km + + runpp_3ph(net) + + assert "res_gen_3ph" in net + + assert net.res_gen_3ph.p_a_mw[0] < 100 + assert net.res_gen_3ph.p_b_mw[0] < 100 + assert net.res_gen_3ph.p_c_mw[0] < 100 + + assert net.res_gen_3ph.q_a_mvar[0] < 100 + assert net.res_gen_3ph.q_a_mvar[0] < 100 + assert net.res_gen_3ph.q_a_mvar[0] < 100 + + assert np.isclose(net.res_gen_3ph.loc[0, ["p_a_mw", "p_b_mw", "p_c_mw"]].sum(), 70.0) + assert np.isclose(net.res_gen_3ph.loc[0, ["q_a_mvar", "q_b_mvar", "q_c_mvar"]].sum(), 33.165882) + +@pytest.mark.xfail +def test_recycle_pq(): + net = pandapowerNet(name="test_recycle_pq") + _, b2, _ = add_grid_connection(net) + pl = 1.2 + ql = 1.1 + ps = 0.5 + u_set = 1.0 + + b3 = create_bus(net, vn_kv=0.4) + create_bus(net, vn_kv=0.4, in_service=False) + create_line_from_parameters( + net, b2, b3, 12.2, r_ohm_per_km=0.08, x_ohm_per_km=0.12, c_nf_per_km=300, max_i_ka=0.2, df=0.8 + ) + create_load(net, b3, p_mw=pl, q_mvar=ql) + create_gen(net, b2, p_mw=ps, vm_pu=u_set) + pl = 1.2 + ql = 0.0 + net["load"].at[0, "q_mvar"] = ql + runpp_3ph(net, recycle={"trafo": False, "gen": False, "bus_pq": True}) + assert np.allclose(net.res_load.at[0, "p_mw"], pl) + assert np.allclose(net.res_load.at[0, "q_mvar"], ql) + pl = 0.8 + ql = 0.55 + net.load.at[0, "p_mw"] = pl + net["load"].at[0, "q_mvar"] = ql + runpp_3ph(net, recycle={"bus_pq": True, "trafo": False, "gen": False}) + assert np.allclose(net.res_load.p_mw.iloc[0], pl) + assert np.allclose(net.res_load.q_mvar.iloc[0], ql) + + +@pytest.mark.xfail +def test_connectivity_check_island_without_pv_bus(): + # Network with islands without pv bus -> all buses in island should be set out of service + _net = create_cigre_network_mv(with_der=False) + iso_buses, iso_p, iso_q, *_ = get_isolated(_net) + assert len(iso_buses) == 0 + assert np.isclose(iso_p, 0) + assert np.isclose(iso_q, 0) + + isolated_bus1 = create_bus(_net, vn_kv=20.0, name="isolated Bus1") + isolated_bus2 = create_bus(_net, vn_kv=20.0, name="isolated Bus2") + create_line( + _net, isolated_bus2, isolated_bus1, length_km=1, std_type="N2XS(FL)2Y 1x300 RM/35 64/110 kV", name="IsolatedLine" + ) + iso_buses, iso_p, iso_q, *_ = get_isolated(_net) + assert len(iso_buses) == 2 + assert np.isclose(iso_p, 0) + assert np.isclose(iso_q, 0) + + create_load(_net, isolated_bus1, p_mw=0.2, q_mvar=0.02) + create_sgen(_net, isolated_bus2, p_mw=0.15, q_mvar=0.01) + + # with pytest.warns(UserWarning): + iso_buses, iso_p, iso_q, *_ = get_isolated(_net) + assert len(iso_buses) == 2 + assert np.isclose(iso_p, 350) + assert np.isclose(iso_q, 30) + # with pytest.warns(UserWarning): + runpp_3ph(_net, check_connectivity=True) + + +@pytest.mark.xfail +@pytest.mark.parametrize("numba", [True, False]) +def test_z_switch(numba): + net = pandapowerNet(name="test_z_switch") + for i in range(3): + create_bus(net, vn_kv=0.4) + create_load(net, i, p_mw=0.1) + create_ext_grid(net, 0, vm_pu=1.0) + create_line_from_parameters( + net, 0, 1, 1, r_ohm_per_km=0.1 / np.sqrt(2), x_ohm_per_km=0.1 / np.sqrt(2), c_nf_per_km=0, max_i_ka=0.2 + ) + create_switch(net, 0, 2, et="b", z_ohm=0.1) + + runpp_3ph(net, numba=numba, switch_rx_ratio=1) + assert pytest.approx(net.res_bus.vm_pu.at[1], abs=1e-9) == net.res_bus.vm_pu.at[2] + + net_zero_z_switch = copy.deepcopy(net) + net_zero_z_switch.switch.z_ohm = 0 + runpp(net_zero_z_switch, numba=numba, switch_rx_ratio=1) + assert pytest.approx(net_zero_z_switch.res_bus.vm_pu.at[0], abs=1e-9) == net_zero_z_switch.res_bus.vm_pu.at[2] + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/loadflow/test_runpp_3ph_n_line.py b/test/loadflow/test_runpp_3ph_n_line.py similarity index 100% rename from pandapower/test/loadflow/test_runpp_3ph_n_line.py rename to test/loadflow/test_runpp_3ph_n_line.py diff --git a/pandapower/test/network_schema/tools/__init__.py b/test/loadflow/test_runpp_helm.py similarity index 100% rename from pandapower/test/network_schema/tools/__init__.py rename to test/loadflow/test_runpp_helm.py diff --git a/pandapower/test/loadflow/test_runpp_pgm.py b/test/loadflow/test_runpp_pgm.py similarity index 95% rename from pandapower/test/loadflow/test_runpp_pgm.py rename to test/loadflow/test_runpp_pgm.py index c625861d3b..856d3e4564 100644 --- a/pandapower/test/loadflow/test_runpp_pgm.py +++ b/test/loadflow/test_runpp_pgm.py @@ -6,11 +6,12 @@ from pandapower.create import create_bus, create_ext_grid, create_load, create_switch, create_sgen, create_line from pandapower.network import pandapowerNet from pandapower.run import runpp_pgm -from pandapower.test.consistency_checks import runpp_pgm_with_consistency_checks, runpp_pgm_3ph_with_consistency_checks pytest.importorskip("power_grid_model") pytest.importorskip("power_grid_model_io") +from test.consistency_checks import runpp_pgm_with_consistency_checks, runpp_pgm_3ph_with_consistency_checks + @pytest.mark.parametrize("consistency_fn", [runpp_pgm_with_consistency_checks, runpp_pgm_3ph_with_consistency_checks]) @pytest.mark.skipif( diff --git a/pandapower/test/loadflow/test_scenarios.py b/test/loadflow/test_scenarios.py similarity index 95% rename from pandapower/test/loadflow/test_scenarios.py rename to test/loadflow/test_scenarios.py index 0ee17a2adb..a617b66856 100644 --- a/pandapower/test/loadflow/test_scenarios.py +++ b/test/loadflow/test_scenarios.py @@ -1,602 +1,614 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import numpy as np -import pytest - -from pandapower.auxiliary import get_free_id -from pandapower.create import ( - create_gen, create_ext_grid, create_bus, create_line, create_switch, create_xward, create_load, create_transformer, - create_transformer_from_parameters, create_transformer3w_from_parameters, create_transformer3w, create_motor -) -from pandapower.network import pandapowerNet -from pandapower.networks.simple_pandapower_test_networks import simple_mv_open_ring_net -from pandapower.run import runpp, rundcpp -from pandapower.shortcircuit.calc_sc import calc_sc -from pandapower.std_types import create_std_type -from pandapower.test.consistency_checks import runpp_with_consistency_checks -from pandapower.test.helper_functions import create_test_network2, add_grid_connection -from pandapower.test.loadflow.result_test_network_generator import add_test_bus_bus_switch, add_test_trafo - - -# TODO: 2 gen 2 ext_grid missing - - -def test_2gen_1ext_grid(): - net = create_test_network2() - net.shunt.q_mvar *= -1 - create_gen(net, 2, p_mw=0.100) - net.trafo.shift_degree = 150 - net.trafo.tap_changer_type = "Ratio" - runpp(net, init='dc', calculate_voltage_angles=True) - - assert np.allclose(net.res_gen.p_mw.values, [0.100, 0.100]) - assert np.allclose(net.res_gen.q_mvar.values, [-0.447397232056, -0.0518152713776], atol=1e-2) - assert np.allclose(net.res_gen.va_degree.values, [0.242527288986, -143.558157703]) - assert np.allclose(net.res_gen.vm_pu.values, [1.0, 1.0]) - - assert np.allclose(net.res_bus.vm_pu, [1.000000, 0.956422, 1.000000, 1.000000]) - assert np.allclose(net.res_bus.va_degree, [0.000000, -145.536429154, -143.558157703, - 0.242527288986]) - assert np.allclose(net.res_bus.p_mw, [0.06187173, 0.03000000, -0.100, 0.00000]) - assert np.allclose(net.res_bus.q_mvar, [-.470929980278, 0.002000000, 0.0218152713776, - 0.447397232056], atol=1e-2) - assert np.allclose(net.res_ext_grid.p_mw.values, [-0.06187173]) - assert np.allclose(net.res_ext_grid.q_mvar, [0.470927898]) - - -def test_0gen_2ext_grid(): - # testing 2 ext grid and 0 gen, both EG on same trafo side - net = create_test_network2() - net.shunt.q_mvar *= -1 - create_ext_grid(net, 1) - net.gen = net.gen.drop(0) - net.trafo.shift_degree = 150 - net.trafo.tap_changer_type = "Ratio" - net.ext_grid.at[1, "in_service"] = False - create_ext_grid(net, 3) - - runpp(net, init='dc', calculate_voltage_angles=True) - assert np.allclose(net.res_bus.p_mw.values, [-0.000000, 0.03000000, 0.000000, -0.032993015]) - assert np.allclose(net.res_bus.q_mvar.values, [0.00408411026001, 0.002000000, - -0.0286340014753, 0.027437210083]) - assert np.allclose(net.res_bus.va_degree.values, [0.000000, -155.719283, - -153.641832, 0.000000]) - assert np.allclose(net.res_bus.vm_pu.values, [1.000000, 0.932225, - 0.976965, 1.000000]) - - assert np.allclose(net.res_ext_grid.p_mw.values, [-0.000000, 0.000000, 0.132993015]) - assert np.allclose(net.res_ext_grid.q_mvar, [-0.00408411026001, 0.000000, -0.027437210083]) - - -def test_0gen_2ext_grid_decoupled(): - net = create_test_network2() - net.gen = net.gen.drop(0) - net.shunt.q_mvar *= -1 - create_ext_grid(net, 1) - net.ext_grid.at[1, "in_service"] = False - create_ext_grid(net, 3) - net.ext_grid.at[2, "in_service"] = False - auxbus = create_bus(net, name="bus1", vn_kv=10.) - net.trafo.shift_degree = 150 - net.trafo.tap_changer_type = "Ratio" - create_std_type(net, {"type": "cs", "r_ohm_per_km": 0.876, "q_mm2": 35.0, - "endtmp_deg": 160.0, "c_nf_per_km": 260.0, - "max_i_ka": 0.123, "x_ohm_per_km": 0.1159876}, - name="NAYSEY 3x35rm/16 6/10kV", element="line") - create_line(net, 0, auxbus, 1, name="line_to_decoupled_grid", - std_type="NAYSEY 3x35rm/16 6/10kV") # NAYSEY 3x35rm/16 6/10kV - create_ext_grid(net, auxbus) - create_switch(net, auxbus, 2, et="l", closed=0, type="LS") - runpp(net, init='dc', calculate_voltage_angles=True) - - assert np.allclose(net.res_bus.p_mw.values * 1e3, [-133.158732, 30.000000, - 0.000000, 100.000000, 0.000000]) - assert np.allclose(net.res_bus.q_mvar.values * 1e3, [39.5843982697, 2.000000, - -28.5636406913, 0.000000, 0.000000]) - assert np.allclose(net.res_bus.va_degree.values, [0.000000, -155.752225311, - -153.669395244, - -0.0225931152895, 0.0]) - assert np.allclose(net.res_bus.vm_pu.values, [1.000000, 0.930961, - 0.975764, 0.998865, 1.0]) - - assert np.allclose(net.res_ext_grid.p_mw.values * 1e3, [133.158732, 0.000000, 0.000000, - -0.000000]) - assert np.allclose(net.res_ext_grid.q_mvar * 1e3, [-39.5843982697, 0.000000, 0.000000, - -0.000000]) - - -def test_bus_bus_switch_at_eg(): - net = pandapowerNet(name="test_bus_bus_switch_at_eg") - b1 = create_bus(net, name="bus1", vn_kv=.4) - b2 = create_bus(net, name="bus2", vn_kv=.4) - b3 = create_bus(net, name="bus3", vn_kv=.4) - - create_ext_grid(net, b1) - - create_switch(net, b1, et="b", element=1) - create_line(net, b2, b3, 1, name="line1", - std_type="NAYY 4x150 SE") - - create_load(net, b3, p_mw=0.01, q_mvar=0, name="load1") - - runpp_with_consistency_checks(net) - - -def test_bb_switch(): - net = pandapowerNet(name="test_bb_switch") - net = add_test_bus_bus_switch(net) - runpp_with_consistency_checks(net) - - -def test_two_gens_at_one_bus(): - net = pandapowerNet(name="test_two_gens_at_one_bus") - - b1 = create_bus(net, 380) - b2 = create_bus(net, 380) - b3 = create_bus(net, 380) - - create_ext_grid(net, b1, 1.02, max_p_mw=0.) - p1 = 800 - p2 = 500 - - g1 = create_gen(net, b3, vm_pu=1.018, p_mw=p1) - g2 = create_gen(net, b3, vm_pu=1.018, p_mw=p2) - create_line(net, b1, b2, 30, "490-AL1/64-ST1A 380.0") - create_line(net, b2, b3, 20, "490-AL1/64-ST1A 380.0") - - runpp(net) - assert net.res_gen.p_mw.at[g1] == p1 - assert net.res_gen.p_mw.at[g2] == p2 - - -def test_ext_grid_gen_order_in_ppc(): - net = pandapowerNet(name="test_ext_grid_gen_order_in_ppc") - - for b in range(6): - create_bus(net, vn_kv=1., name=str(b)) - - for l_bus in range(0, 5, 2): - create_line(net, from_bus=l_bus, to_bus=l_bus + 1, length_km=1, - std_type="48-AL1/8-ST1A 10.0") - - for slack_bus in [0, 2, 5]: - create_ext_grid(net, bus=slack_bus, vm_pu=1.) - - for gen_bus in [0, 1, 2, 3, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5]: - create_gen(net, bus=gen_bus, p_mw=1, vm_pu=1.) - - rundcpp(net) - assert all(net.res_gen.p_mw == net.gen.p_mw) - assert all(net.res_ext_grid.p_mw < 0) - - runpp(net) - assert all(net.res_gen.p_mw == net.gen.p_mw) - assert all(net.res_ext_grid.p_mw < 0) - - -def test_isolated_gen_lookup(): - net = pandapowerNet(name="test_isolated_gen_lookup") - - gen_bus = create_bus(net, vn_kv=1., name='gen_bus') - slack_bus = create_bus(net, vn_kv=1., name='slack_bus') - gen_iso_bus = create_bus(net, vn_kv=1., name='iso_bus') - - create_line(net, from_bus=slack_bus, to_bus=gen_bus, length_km=1, - std_type="48-AL1/8-ST1A 10.0") - - create_ext_grid(net, bus=slack_bus, vm_pu=1.) - - create_gen(net, bus=gen_iso_bus, p_mw=1, vm_pu=1., name='iso_gen') - create_gen(net, bus=gen_bus, p_mw=1, vm_pu=1., name='oos_gen', in_service=False) - create_gen(net, bus=gen_bus, p_mw=2, vm_pu=1., name='gen') - - rundcpp(net) - assert np.allclose(net.res_gen.p_mw.values, [0, 0, 2]) - - runpp(net) - assert np.allclose(net.res_gen.p_mw.values, [0, 0, 2]) - - create_xward(net, bus=gen_iso_bus, pz_mw=1., qz_mvar=1., ps_mw=1., qs_mvar=1., - vm_pu=1., x_ohm=1., r_ohm=.1) - create_xward(net, bus=gen_bus, pz_mw=1., qz_mvar=1., ps_mw=1., qs_mvar=1., - vm_pu=1., x_ohm=1., r_ohm=.1) - create_xward(net, bus=gen_iso_bus, pz_mw=1., qz_mvar=1., ps_mw=1., qs_mvar=1., - vm_pu=1., x_ohm=1., r_ohm=.1, in_service=False) - - rundcpp(net) - assert np.allclose(net.res_gen.p_mw.values, [0, 0, 2]) - assert np.allclose(net.res_xward.p_mw.values, [0, 2, 0]) - - runpp(net) - assert np.allclose(net.res_gen.p_mw.values, [0, 0, 2]) - assert np.allclose(net.res_xward.p_mw.values, [0, 2, 0]) - - -def test_transformer_phase_shift(): - net = pandapowerNet(name="test_transformer_phase_shift") - for side in ["hv", "lv"]: - b1 = create_bus(net, vn_kv=110.) - b2 = create_bus(net, vn_kv=20.) - b3 = create_bus(net, vn_kv=0.4) - create_ext_grid(net, b1) - create_transformer_from_parameters( - net, b1, b2, 40000, 110, 20, 0.1, 5, 0, 0.1, 30, side, - # 0, 2, -2, 1.25, 10, 0) - 0, 2, -2, 0, 10, 0, "Ideal") - create_transformer_from_parameters( - net, b2, b3, 630, 20, 0.4, 0.1, 5, 0, 0.1, 20) - runpp(net, init="dc", calculate_voltage_angles=True) - b2a_angle = net.res_bus.va_degree.at[1] - b3a_angle = net.res_bus.va_degree.at[2] - b2b_angle = net.res_bus.va_degree.at[4] - b3b_angle = net.res_bus.va_degree.at[5] - - net.trafo.at[0, "tap_pos"] = 1 - net.trafo.at[2, "tap_pos"] = 1 - runpp(net, init="dc", calculate_voltage_angles=True) - assert np.isclose(b2a_angle - net.res_bus.va_degree.at[1], 10) - assert np.isclose(b3a_angle - net.res_bus.va_degree.at[2], 10) - assert np.isclose(b2b_angle - net.res_bus.va_degree.at[4], -10) - assert np.isclose(b3b_angle - net.res_bus.va_degree.at[5], -10) - - -@pytest.mark.parametrize('side', ["hv", "lv"]) -def test_transformer_phase_shift_complex(side): - test_ref = (0.99967, -30.7163) - test_tap_pos = { - 'hv': (0.9617, -31.1568), - 'lv': (1.0391, -30.3334) - } - test_tap_neg = { - 'hv': (1.0407, -30.2467), - 'lv': (0.9603, -31.1306) - } - - net = pandapowerNet(name=f"test_transformer_phase_shift_complex side={side}") - b1 = create_bus(net, vn_kv=110.) - create_ext_grid(net, b1) - b2 = create_bus(net, vn_kv=20.) - create_load(net, b2, p_mw=10) - create_transformer_from_parameters( - net, hv_bus=b1, lv_bus=b2, sn_mva=40, vn_hv_kv=110, vn_lv_kv=20, vkr_percent=0.1, vk_percent=5, pfe_kw=0, - i0_percent=0.1, shift_degree=30, tap_side=side, tap_neutral=0, tap_max=2, tap_min=-2, tap_step_percent=2, - tap_step_degree=10, tap_pos=0, tap_changer_type="Ratio" - ) - runpp(net, init="dc", calculate_voltage_angles=True) - assert np.isclose(net.res_bus.vm_pu.at[b2], test_ref[0], rtol=1e-4) - assert np.isclose(net.res_bus.va_degree.at[b2], test_ref[1], rtol=1e-4) - - net.trafo.at[0, "tap_pos"] = 2 - runpp(net, init="dc", calculate_voltage_angles=True) - assert np.isclose(net.res_bus.vm_pu.at[b2], test_tap_pos[side][0], rtol=1e-4) - assert np.isclose(net.res_bus.va_degree.at[b2], test_tap_pos[side][1], rtol=1e-4) - - net.trafo.at[0, "tap_pos"] = -2 - runpp(net, init="dc", calculate_voltage_angles=True) - assert np.isclose(net.res_bus.vm_pu.at[b2], test_tap_neg[side][0], rtol=1e-4) - assert np.isclose(net.res_bus.va_degree.at[b2], test_tap_neg[side][1], rtol=1e-4) - - -def test_transformer3w_phase_shift(): - test_ref = ((0.9995, -31.003), (0.9996, -60.764)) - test_tap_pos = { - 'hv': ((0.9615, -31.466), (0.9617, -61.209)), - 'mv': ((1.0389, -30.620), (0.9996, -60.764)), - 'lv': ((0.9995, -31.003), (1.039, -60.381)) - } - test_tap_neg = { - 'hv': ((1.0405, -30.511), (1.0406, -60.291)), - 'mv': ((0.9602, -31.417), (0.9996, -60.764)), - 'lv': ((0.9995, -31.003), (0.9603, -61.178)) - } - for side in ["hv", "mv", "lv"]: - net = pandapowerNet(name=f"test_transformer3w_phase_shift side={side}") - b1 = create_bus(net, vn_kv=110.) - create_ext_grid(net, b1) - b2 = create_bus(net, vn_kv=20.) - create_load(net, b2, p_mw=10) - b3 = create_bus(net, vn_kv=0.4) - create_load(net, b3, p_mw=1) - create_transformer3w_from_parameters(net, hv_bus=b1, mv_bus=b2, lv_bus=b3, vn_hv_kv=110, - vn_mv_kv=20, vn_lv_kv=0.4, sn_hv_mva=40, - sn_mv_mva=30, sn_lv_mva=10, - vk_hv_percent=5, vk_mv_percent=5, - vk_lv_percent=5, vkr_hv_percent=0.1, - vkr_mv_percent=0.1, vkr_lv_percent=0.1, pfe_kw=0, - i0_percent=0.1, shift_mv_degree=30, - shift_lv_degree=60, tap_side=side, - tap_step_percent=2, tap_step_degree=10, tap_pos=0, - tap_neutral=0, tap_min=-2, - tap_max=2, tap_changer_type="Ratio") - runpp(net, init="dc", calculate_voltage_angles=True) - assert np.isclose(net.res_bus.vm_pu.at[b2], test_ref[0][0], rtol=1e-4) - assert np.isclose(net.res_bus.va_degree.at[b2], test_ref[0][1], rtol=1e-4) - assert np.isclose(net.res_bus.vm_pu.at[b3], test_ref[1][0], rtol=1e-4) - assert np.isclose(net.res_bus.va_degree.at[b3], test_ref[1][1], rtol=1e-4) - - net.trafo3w.at[0, "tap_pos"] = 2 - runpp(net, init="dc", calculate_voltage_angles=True) - assert np.isclose(net.res_bus.vm_pu.at[b2], test_tap_pos[side][0][0], rtol=1e-4) - assert np.isclose(net.res_bus.va_degree.at[b2], test_tap_pos[side][0][1], rtol=1e-4) - assert np.isclose(net.res_bus.vm_pu.at[b3], test_tap_pos[side][1][0], rtol=1e-4) - assert np.isclose(net.res_bus.va_degree.at[b3], test_tap_pos[side][1][1], rtol=1e-4) - - net.trafo3w.at[0, "tap_pos"] = -2 - runpp(net, init="dc", calculate_voltage_angles=True) - assert np.isclose(net.res_bus.vm_pu.at[b2], test_tap_neg[side][0][0], rtol=1e-4) - assert np.isclose(net.res_bus.va_degree.at[b2], test_tap_neg[side][0][1], rtol=1e-4) - assert np.isclose(net.res_bus.vm_pu.at[b3], test_tap_neg[side][1][0], rtol=1e-4) - assert np.isclose(net.res_bus.va_degree.at[b3], test_tap_neg[side][1][1], rtol=1e-4) - - -def test_volt_dep_load_at_inactive_bus(): - # create empty net - net = pandapowerNet(name="test_volt_dep_load_at_inactive_bus") - - # create buses - bus1 = create_bus(net, index=0, vn_kv=20., name="Bus 1") - bus2 = create_bus(net, index=1, vn_kv=0.4, name="Bus 2") - bus3 = create_bus(net, index=3, in_service=False, vn_kv=0.4, name="Bus 3") - bus4 = create_bus(net, index=4, vn_kv=0.4, name="Bus 4") - bus5 = create_bus(net, index=5, vn_kv=0.4, name="Bus 5") - - # create bus elements - create_ext_grid(net, bus=bus1, vm_pu=1.02, name="Grid Connection") - create_load(net, bus=bus4, p_mw=0.1, q_mvar=0.05, name="Load3", const_i_p_percent=100) - create_load(net, bus=5, p_mw=0.1, q_mvar=0.05, name="Load4") - - # create branch elements - create_transformer(net, hv_bus=bus1, lv_bus=bus2, std_type="0.4 MVA 20/0.4 kV", name="Trafo") - create_line(net, from_bus=bus2, to_bus=bus3, length_km=0.1, std_type="NAYY 4x50 SE", name="Line0") - create_line(net, from_bus=bus2, to_bus=bus4, length_km=0.1, std_type="NAYY 4x50 SE", name="Line1") - create_line(net, from_bus=bus2, to_bus=bus5, length_km=0.1, std_type="NAYY 4x50 SE", name="Line2") - - runpp(net) - assert not np.isnan(net.res_load.p_mw.at[bus2]) - assert not np.isnan(net.res_bus.p_mw.at[bus5]) - assert np.isnan(net.res_bus.p_mw.at[bus3]) - - -def test_two_oos_buses(): - net = pandapowerNet(name="test_two_oos_buses") - - b1 = create_bus(net, vn_kv=0.4) - b2 = create_bus(net, vn_kv=0.4) - b3 = create_bus(net, vn_kv=0.4, in_service=False) - b4 = create_bus(net, vn_kv=0.4, in_service=False) - - create_ext_grid(net, b1) - l1 = create_line(net, b1, b2, 0.5, std_type="NAYY 4x50 SE", index=4) - l2 = create_line(net, b2, b3, 0.5, std_type="NAYY 4x50 SE", index=2) - l3 = create_line(net, b3, b4, 0.5, std_type="NAYY 4x50 SE", index=7) - - runpp(net) - assert net.res_line.loading_percent.at[l1] > 0 - assert net.res_line.loading_percent.at[l2] > 0 - assert np.isnan(net.res_line.loading_percent.at[l3]) - - net.line = net.line.drop(l2) - runpp(net) - assert net.res_line.loading_percent.at[l1] > 0 - assert np.isnan(net.res_line.loading_percent.at[l3]) - - -def test_oos_buses_at_trafo3w(): - net = pandapowerNet(name="test_oos_buses_at_trafo3w") - - b1 = create_bus(net, vn_kv=110.) - b2 = create_bus(net, vn_kv=110.) - b3 = create_bus(net, vn_kv=110., in_service=False) - b4 = create_bus(net, vn_kv=20., in_service=False) - b5 = create_bus(net, vn_kv=10., in_service=False) - - create_ext_grid(net, b1) - l1 = create_line(net, b1, b2, 0.5, std_type="NAYY 4x50 SE", in_service=True) - create_line(net, b2, b3, 0.5, std_type="NAYY 4x50 SE", in_service=False) - - tidx = create_transformer3w( - net, b3, b4, b5, std_type='63/25/38 MVA 110/20/10 kV', in_service=True) - - runpp(net, trafo3w_losses='star', trafo_model='pi', init='flat') - - assert net.res_line.loading_percent.at[l1] > 0 - assert np.isnan(net.res_trafo3w.i_hv_ka.at[tidx]) - - -@pytest.fixture -def network_with_trafo3ws(): - net = pandapowerNet(name="network_with_trafo3ws") - add_test_trafo(net) - _, hv, _ = add_grid_connection(net, zone="test_trafo3w") - for _ in range(2): - mv = create_bus(net, vn_kv=0.6, zone="test_trafo3w") - create_load(net, mv, p_mw=0.8, q_mvar=0) - lv = create_bus(net, vn_kv=0.4, zone="test_trafo3w") - create_load(net, lv, p_mw=0.5, q_mvar=0) - t3 = create_transformer3w_from_parameters( - net, hv_bus=hv, mv_bus=mv, lv_bus=lv, vn_hv_kv=22, - vn_mv_kv=.64, vn_lv_kv=.42, sn_hv_mva=1, - sn_mv_mva=0.7, sn_lv_mva=0.3, vk_hv_percent=1., - vkr_hv_percent=.03, vk_mv_percent=.5, - vkr_mv_percent=.02, vk_lv_percent=.25, - vkr_lv_percent=.01, pfe_kw=.5, i0_percent=0.1, - name="test", index=get_free_id(net.trafo3w) + 1, - tap_side="hv", tap_pos=2, tap_step_percent=1.25, - tap_min=-5, tap_neutral=0, tap_max=5, tap_changer_type="Ratio") - return net, t3, hv, mv, lv - - -def test_trafo3w_switches(network_with_trafo3ws): - # FIXME: reenable voltage dependent loads - net, t3, hv, mv, lv = network_with_trafo3ws - - # open switch at hv side - t3 is disconnected - s1 = create_switch(net, bus=hv, element=t3, et="t3", closed=False) - runpp_with_consistency_checks(net, voltage_depend_loads=False) - assert np.isnan(net.res_bus.vm_pu.at[mv]) - assert np.isnan(net.res_bus.vm_pu.at[lv]) - assert np.isnan(net.res_trafo3w.p_hv_mw.at[t3]) == 0 - - # open switch at mv side - mv is disconnected, lv is connected - net.switch.at[s1, "bus"] = mv - runpp_with_consistency_checks(net, voltage_depend_loads=False) - - assert np.isnan(net.res_bus.vm_pu.at[mv]) - assert not np.isnan(net.res_bus.vm_pu.at[lv]) - assert net.res_trafo3w.i_lv_ka.at[t3] > 1e-5 - assert net.res_trafo3w.i_mv_ka.at[t3] < 1e-5 - assert 0.490 < net.res_trafo3w.p_hv_mw.at[t3] < 0.510 - - # open switch at lv side - lv is disconnected, mv is connected - net.switch.at[s1, "bus"] = lv - runpp_with_consistency_checks(net, voltage_depend_loads=False) - - assert np.isnan(net.res_bus.vm_pu.at[lv]) - assert not np.isnan(net.res_bus.vm_pu.at[mv]) - assert net.res_trafo3w.i_lv_ka.at[t3] < 1e-5 - assert net.res_trafo3w.i_mv_ka.at[t3] > 1e-5 - assert 0.790 < net.res_trafo3w.p_hv_mw.at[t3] < 0.810 - - # open switch at lv and mv side - lv and mv is disconnected, t3 in open loop - create_switch(net, bus=mv, element=t3, et="t3", closed=False) - runpp_with_consistency_checks(net, voltage_depend_loads=False) - - assert np.isnan(net.res_bus.vm_pu.at[lv]) - assert np.isnan(net.res_bus.vm_pu.at[mv]) - assert net.res_trafo3w.i_lv_ka.at[t3] < 1e-5 - assert net.res_trafo3w.i_mv_ka.at[t3] < 1e-5 - assert 0 < net.res_trafo3w.p_hv_mw.at[t3] < 1 - - -def test_generator_as_slack(): - net = pandapowerNet(name="test_generator_as_slack") - b1 = create_bus(net, 110.) - create_ext_grid(net, b1, vm_pu=1.02) - b2 = create_bus(net, 110.) - create_line(net, b1, b2, length_km=70., std_type='149-AL1/24-ST1A 110.0') - create_load(net, b2, p_mw=2) - runpp(net) - res_bus = net.res_bus.vm_pu.values - - create_gen(net, b1, p_mw=0.1, vm_pu=1.02, slack=True) - net.ext_grid.loc[0, 'in_service'] = False - runpp(net) - assert np.allclose(res_bus, net.res_bus.vm_pu.values) - - net.gen.loc[0, 'slack'] = False - with pytest.raises(UserWarning): - runpp(net) - - -def test_transformer_with_two_open_switches(): - net = pandapowerNet(name="test_transformer_with_two_open_switches") - b1 = create_bus(net, 110.) - create_ext_grid(net, b1, vm_pu=1.02) - b2 = create_bus(net, 20.) - t = create_transformer(net, b1, b2, std_type='63 MVA 110/20 kV') - b3 = create_bus(net, 20.) - create_line(net, b2, b3, length_km=7., std_type='149-AL1/24-ST1A 110.0') - create_load(net, b2, p_mw=2) - runpp(net) - - assert net.res_trafo.vm_hv_pu.at[t] == net.res_bus.vm_pu.at[b1] - assert net.res_trafo.vm_lv_pu.at[t] == net.res_bus.vm_pu.at[b2] - - create_switch(net, b2, element=t, et="t", closed=False) - runpp(net) - assert net.res_trafo.vm_hv_pu.at[t] == net.res_bus.vm_pu.at[b1] - assert net.res_trafo.vm_lv_pu.at[t] != net.res_bus.vm_pu.at[b2] - - create_switch(net, b1, element=t, et="t", closed=False) - runpp(net) - assert net.res_trafo.vm_hv_pu.at[t] != net.res_bus.vm_pu.at[b1] - assert net.res_trafo.vm_lv_pu.at[t] != net.res_bus.vm_pu.at[b2] - - -def test_motor(): - net = pandapowerNet(name="test_motor") - b1 = create_bus(net, 0.4) - b2 = create_bus(net, 0.4) - create_line(net, b1, b2, length_km=0.1, std_type="NAYY 4x50 SE") - create_ext_grid(net, b1) - p_mech = 0.1 - cos_phi = 0.98 - efficiency = 95 - create_motor(net, b2, pn_mech_mw=0.1, cos_phi=cos_phi, - efficiency_percent=efficiency) - - runpp(net) - p = net.res_motor.p_mw.iloc[0] - q = net.res_motor.q_mvar.iloc[0] - s = np.sqrt(p ** 2 + q ** 2) - assert p == p_mech / efficiency * 100 - assert p / s == cos_phi - res_bus_motor = net.res_bus.copy() - - create_load(net, b2, p_mw=net.res_motor.p_mw.values[0], - q_mvar=net.res_motor.q_mvar.values[0]) - net.motor.in_service = False - - runpp(net) - assert net.res_bus.equals(res_bus_motor) - - -def test_switch_results(): - net = simple_mv_open_ring_net() - net.ext_grid["s_sc_max_mva"] = 1000 - net.ext_grid['rx_max'] = 0.1 - - switch_trafo_hv = create_switch(net, bus=0, element=0, et="t") - switch_trafo_lv = create_switch(net, bus=1, element=0, et="t") - - closed_line_switch = 1 - open_line_switch = 6 - - new_bus = create_bus(net, vn_kv=20.0) - create_load(net, new_bus, p_mw=1.5) - closed_bb_switch = create_switch(net, bus=new_bus, element=6, et="b") - - new_bus = create_bus(net, vn_kv=20.0) - in_ka = 0.1 - create_load(net, new_bus, p_mw=1.5) - closed_bb_switch_impedance = create_switch(net, bus=new_bus, element=4, et="b", z_ohm=0.1, in_ka=in_ka) - - new_bus = create_bus(net, vn_kv=20.0) - create_load(net, new_bus, p_mw=1.5) - open_bb_switch = create_switch(net, bus=new_bus, element=6, et="b", closed=False) - - runpp(net) - - assert np.isclose(net.res_switch.i_ka.at[open_line_switch], 0) - assert np.isclose(net.res_switch.i_ka.at[open_bb_switch], 0) - - assert np.isnan(net.res_switch.i_ka.at[closed_bb_switch]) - assert np.isclose(net.res_switch.i_ka.at[closed_bb_switch_impedance], 0.04378035814760788) - loading = net.res_switch.i_ka.at[closed_bb_switch_impedance] / in_ka * 100 - assert np.isclose(net.res_switch.loading_percent.at[closed_bb_switch_impedance], loading) - - line = net.switch.element.at[closed_line_switch] - assert np.isclose(net.res_switch.i_ka.at[closed_line_switch], net.res_line.i_ka.at[line]) - - trafo = net.switch.element.at[switch_trafo_hv] - assert np.isclose(net.res_switch.i_ka.at[switch_trafo_hv], abs(net.res_trafo.i_hv_ka.at[trafo])) - assert np.isclose(net.res_switch.i_ka.at[switch_trafo_lv], abs(net.res_trafo.i_lv_ka.at[trafo])) - - calc_sc(net, branch_results=True) - - assert np.isclose(net.res_switch_sc.ikss_ka.at[open_line_switch], 0) - assert np.isclose(net.res_switch_sc.ikss_ka.at[open_bb_switch], 0) - - assert np.isnan(net.res_switch_sc.ikss_ka.at[closed_bb_switch]) - assert np.isclose(net.res_switch_sc.ikss_ka.at[closed_bb_switch_impedance], 4.555211220391998) - - assert np.isclose(net.res_switch_sc.ikss_ka.at[closed_line_switch], net.res_line_sc.ikss_ka.at[line]) - - assert np.isclose(net.res_switch_sc.ikss_ka.at[switch_trafo_hv], abs(net.res_trafo_sc.ikss_hv_ka.at[trafo])) - assert np.isclose(net.res_switch_sc.ikss_ka.at[switch_trafo_lv], abs(net.res_trafo_sc.ikss_lv_ka.at[trafo])) - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import numpy as np +import pytest + +from pandapower.auxiliary import get_free_id +from pandapower.network import pandapowerNet +from pandapower.create import ( + create_gen, + create_ext_grid, + create_bus, + create_line, + create_empty_network, + create_switch, + create_xward, + create_transformer_from_parameters, + create_transformer3w_from_parameters, + create_load, + create_transformer, + create_transformer3w, + create_motor +) +from pandapower.networks.simple_pandapower_test_networks import simple_mv_open_ring_net +from pandapower.run import runpp, rundcpp +from pandapower.shortcircuit.calc_sc import calc_sc +from pandapower.std_types import create_std_type + +from test.consistency_checks import runpp_with_consistency_checks +from test.helper_functions import create_test_network2, add_grid_connection +from test.loadflow.result_test_network_generator import add_test_bus_bus_switch, add_test_trafo + + +# TODO: 2 gen 2 ext_grid missing + + +def test_2gen_1ext_grid(): + net = create_test_network2() + net.shunt.q_mvar *= -1 + create_gen(net, 2, p_mw=0.100) + net.trafo.shift_degree = 150 + net.trafo.tap_changer_type = "Ratio" + runpp(net, init='dc', calculate_voltage_angles=True) + + assert np.allclose(net.res_gen.p_mw.values, [0.100, 0.100]) + assert np.allclose(net.res_gen.q_mvar.values, [-0.447397232056, -0.0518152713776], atol=1e-2) + assert np.allclose(net.res_gen.va_degree.values, [0.242527288986, -143.558157703]) + assert np.allclose(net.res_gen.vm_pu.values, [1.0, 1.0]) + + assert np.allclose(net.res_bus.vm_pu, [1.000000, 0.956422, 1.000000, 1.000000]) + assert np.allclose(net.res_bus.va_degree, [0.000000, -145.536429154, -143.558157703, + 0.242527288986]) + assert np.allclose(net.res_bus.p_mw, [0.06187173, 0.03000000, -0.100, 0.00000]) + assert np.allclose(net.res_bus.q_mvar, [-.470929980278, 0.002000000, 0.0218152713776, + 0.447397232056], atol=1e-2) + assert np.allclose(net.res_ext_grid.p_mw.values, [-0.06187173]) + assert np.allclose(net.res_ext_grid.q_mvar, [0.470927898]) + + +def test_0gen_2ext_grid(): + # testing 2 ext grid and 0 gen, both EG on same trafo side + net = create_test_network2() + net.shunt.q_mvar *= -1 + create_ext_grid(net, 1) + net.gen = net.gen.drop(0) + net.trafo.shift_degree = 150 + net.trafo.tap_changer_type = "Ratio" + net.ext_grid.at[1, "in_service"] = False + create_ext_grid(net, 3) + + runpp(net, init='dc', calculate_voltage_angles=True) + assert np.allclose(net.res_bus.p_mw.values, [-0.000000, 0.03000000, 0.000000, -0.032993015]) + assert np.allclose(net.res_bus.q_mvar.values, [0.00408411026001, 0.002000000, + -0.0286340014753, 0.027437210083]) + assert np.allclose(net.res_bus.va_degree.values, [0.000000, -155.719283, + -153.641832, 0.000000]) + assert np.allclose(net.res_bus.vm_pu.values, [1.000000, 0.932225, + 0.976965, 1.000000]) + + assert np.allclose(net.res_ext_grid.p_mw.values, [-0.000000, 0.000000, 0.132993015]) + assert np.allclose(net.res_ext_grid.q_mvar, [-0.00408411026001, 0.000000, -0.027437210083]) + + +def test_0gen_2ext_grid_decoupled(): + net = create_test_network2() + net.gen = net.gen.drop(0) + net.shunt.q_mvar *= -1 + create_ext_grid(net, 1) + net.ext_grid.at[1, "in_service"] = False + create_ext_grid(net, 3) + net.ext_grid.at[2, "in_service"] = False + auxbus = create_bus(net, name="bus1", vn_kv=10.) + net.trafo.shift_degree = 150 + net.trafo.tap_changer_type = "Ratio" + create_std_type(net, {"type": "cs", "r_ohm_per_km": 0.876, "q_mm2": 35.0, + "endtmp_deg": 160.0, "c_nf_per_km": 260.0, + "max_i_ka": 0.123, "x_ohm_per_km": 0.1159876}, + name="NAYSEY 3x35rm/16 6/10kV", element="line") + create_line(net, 0, auxbus, 1, name="line_to_decoupled_grid", + std_type="NAYSEY 3x35rm/16 6/10kV") # NAYSEY 3x35rm/16 6/10kV + create_ext_grid(net, auxbus) + create_switch(net, auxbus, 2, et="l", closed=0, type="LS") + runpp(net, init='dc', calculate_voltage_angles=True) + + assert np.allclose(net.res_bus.p_mw.values * 1e3, [-133.158732, 30.000000, + 0.000000, 100.000000, 0.000000]) + assert np.allclose(net.res_bus.q_mvar.values * 1e3, [39.5843982697, 2.000000, + -28.5636406913, 0.000000, 0.000000]) + assert np.allclose(net.res_bus.va_degree.values, [0.000000, -155.752225311, + -153.669395244, + -0.0225931152895, 0.0]) + assert np.allclose(net.res_bus.vm_pu.values, [1.000000, 0.930961, + 0.975764, 0.998865, 1.0]) + + assert np.allclose(net.res_ext_grid.p_mw.values * 1e3, [133.158732, 0.000000, 0.000000, + -0.000000]) + assert np.allclose(net.res_ext_grid.q_mvar * 1e3, [-39.5843982697, 0.000000, 0.000000, + -0.000000]) + + +def test_bus_bus_switch_at_eg(): + net = pandapowerNet(name="test_bus_bus_switch_at_eg") + b1 = create_bus(net, name="bus1", vn_kv=.4) + b2 = create_bus(net, name="bus2", vn_kv=.4) + b3 = create_bus(net, name="bus3", vn_kv=.4) + + create_ext_grid(net, b1) + + create_switch(net, b1, et="b", element=1) + create_line(net, b2, b3, 1, name="line1", + std_type="NAYY 4x150 SE") + + create_load(net, b3, p_mw=0.01, q_mvar=0, name="load1") + + runpp_with_consistency_checks(net) + + +def test_bb_switch(): + net = pandapowerNet(name="test_bb_switch") + net = add_test_bus_bus_switch(net) + runpp_with_consistency_checks(net) + + +def test_two_gens_at_one_bus(): + net = pandapowerNet(name="test_two_gens_at_one_bus") + + b1 = create_bus(net, 380) + b2 = create_bus(net, 380) + b3 = create_bus(net, 380) + + create_ext_grid(net, b1, 1.02, max_p_mw=0.) + p1 = 800 + p2 = 500 + + g1 = create_gen(net, b3, vm_pu=1.018, p_mw=p1) + g2 = create_gen(net, b3, vm_pu=1.018, p_mw=p2) + create_line(net, b1, b2, 30, "490-AL1/64-ST1A 380.0") + create_line(net, b2, b3, 20, "490-AL1/64-ST1A 380.0") + + runpp(net) + assert net.res_gen.p_mw.at[g1] == p1 + assert net.res_gen.p_mw.at[g2] == p2 + + +def test_ext_grid_gen_order_in_ppc(): + net = pandapowerNet(name="test_ext_grid_gen_order_in_ppc") + + for b in range(6): + create_bus(net, vn_kv=1., name=str(b)) + + for l_bus in range(0, 5, 2): + create_line(net, from_bus=l_bus, to_bus=l_bus + 1, length_km=1, + std_type="48-AL1/8-ST1A 10.0") + + for slack_bus in [0, 2, 5]: + create_ext_grid(net, bus=slack_bus, vm_pu=1.) + + for gen_bus in [0, 1, 2, 3, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5]: + create_gen(net, bus=gen_bus, p_mw=1, vm_pu=1.) + + rundcpp(net) + assert all(net.res_gen.p_mw == net.gen.p_mw) + assert all(net.res_ext_grid.p_mw < 0) + + runpp(net) + assert all(net.res_gen.p_mw == net.gen.p_mw) + assert all(net.res_ext_grid.p_mw < 0) + + +def test_isolated_gen_lookup(): + net = pandapowerNet(name="test_isolated_gen_lookup") + + gen_bus = create_bus(net, vn_kv=1., name='gen_bus') + slack_bus = create_bus(net, vn_kv=1., name='slack_bus') + gen_iso_bus = create_bus(net, vn_kv=1., name='iso_bus') + + create_line(net, from_bus=slack_bus, to_bus=gen_bus, length_km=1, + std_type="48-AL1/8-ST1A 10.0") + + create_ext_grid(net, bus=slack_bus, vm_pu=1.) + + create_gen(net, bus=gen_iso_bus, p_mw=1, vm_pu=1., name='iso_gen') + create_gen(net, bus=gen_bus, p_mw=1, vm_pu=1., name='oos_gen', in_service=False) + create_gen(net, bus=gen_bus, p_mw=2, vm_pu=1., name='gen') + + rundcpp(net) + assert np.allclose(net.res_gen.p_mw.values, [0, 0, 2]) + + runpp(net) + assert np.allclose(net.res_gen.p_mw.values, [0, 0, 2]) + + create_xward(net, bus=gen_iso_bus, pz_mw=1., qz_mvar=1., ps_mw=1., qs_mvar=1., + vm_pu=1., x_ohm=1., r_ohm=.1) + create_xward(net, bus=gen_bus, pz_mw=1., qz_mvar=1., ps_mw=1., qs_mvar=1., + vm_pu=1., x_ohm=1., r_ohm=.1) + create_xward(net, bus=gen_iso_bus, pz_mw=1., qz_mvar=1., ps_mw=1., qs_mvar=1., + vm_pu=1., x_ohm=1., r_ohm=.1, in_service=False) + + rundcpp(net) + assert np.allclose(net.res_gen.p_mw.values, [0, 0, 2]) + assert np.allclose(net.res_xward.p_mw.values, [0, 2, 0]) + + runpp(net) + assert np.allclose(net.res_gen.p_mw.values, [0, 0, 2]) + assert np.allclose(net.res_xward.p_mw.values, [0, 2, 0]) + + +def test_transformer_phase_shift(): + net = pandapowerNet(name="test_transformer_phase_shift") + for side in ["hv", "lv"]: + b1 = create_bus(net, vn_kv=110.) + b2 = create_bus(net, vn_kv=20.) + b3 = create_bus(net, vn_kv=0.4) + create_ext_grid(net, b1) + create_transformer_from_parameters( + net, b1, b2, 40000, 110, 20, 0.1, 5, 0, 0.1, 30, side, + # 0, 2, -2, 1.25, 10, 0) + 0, 2, -2, 0, 10, 0, "Ideal") + create_transformer_from_parameters( + net, b2, b3, 630, 20, 0.4, 0.1, 5, 0, 0.1, 20) + runpp(net, init="dc", calculate_voltage_angles=True) + b2a_angle = net.res_bus.va_degree.at[1] + b3a_angle = net.res_bus.va_degree.at[2] + b2b_angle = net.res_bus.va_degree.at[4] + b3b_angle = net.res_bus.va_degree.at[5] + + net.trafo.at[0, "tap_pos"] = 1 + net.trafo.at[2, "tap_pos"] = 1 + runpp(net, init="dc", calculate_voltage_angles=True) + assert np.isclose(b2a_angle - net.res_bus.va_degree.at[1], 10) + assert np.isclose(b3a_angle - net.res_bus.va_degree.at[2], 10) + assert np.isclose(b2b_angle - net.res_bus.va_degree.at[4], -10) + assert np.isclose(b3b_angle - net.res_bus.va_degree.at[5], -10) + + +@pytest.mark.parametrize('side', ["hv", "lv"]) +def test_transformer_phase_shift_complex(side): + test_ref = (0.99967, -30.7163) + test_tap_pos = { + 'hv': (0.9617, -31.1568), + 'lv': (1.0391, -30.3334) + } + test_tap_neg = { + 'hv': (1.0407, -30.2467), + 'lv': (0.9603, -31.1306) + } + + net = pandapowerNet(name=f"test_transformer_phase_shift_complex side={side}") + b1 = create_bus(net, vn_kv=110.) + create_ext_grid(net, b1) + b2 = create_bus(net, vn_kv=20.) + create_load(net, b2, p_mw=10) + create_transformer_from_parameters( + net, hv_bus=b1, lv_bus=b2, sn_mva=40, vn_hv_kv=110, vn_lv_kv=20, vkr_percent=0.1, vk_percent=5, pfe_kw=0, + i0_percent=0.1, shift_degree=30, tap_side=side, tap_neutral=0, tap_max=2, tap_min=-2, tap_step_percent=2, + tap_step_degree=10, tap_pos=0, tap_changer_type="Ratio" + ) + runpp(net, init="dc", calculate_voltage_angles=True) + assert np.isclose(net.res_bus.vm_pu.at[b2], test_ref[0], rtol=1e-4) + assert np.isclose(net.res_bus.va_degree.at[b2], test_ref[1], rtol=1e-4) + + net.trafo.at[0, "tap_pos"] = 2 + runpp(net, init="dc", calculate_voltage_angles=True) + assert np.isclose(net.res_bus.vm_pu.at[b2], test_tap_pos[side][0], rtol=1e-4) + assert np.isclose(net.res_bus.va_degree.at[b2], test_tap_pos[side][1], rtol=1e-4) + + net.trafo.at[0, "tap_pos"] = -2 + runpp(net, init="dc", calculate_voltage_angles=True) + assert np.isclose(net.res_bus.vm_pu.at[b2], test_tap_neg[side][0], rtol=1e-4) + assert np.isclose(net.res_bus.va_degree.at[b2], test_tap_neg[side][1], rtol=1e-4) + + +def test_transformer3w_phase_shift(): + test_ref = ((0.9995, -31.003), (0.9996, -60.764)) + test_tap_pos = { + 'hv': ((0.9615, -31.466), (0.9617, -61.209)), + 'mv': ((1.0389, -30.620), (0.9996, -60.764)), + 'lv': ((0.9995, -31.003), (1.039, -60.381)) + } + test_tap_neg = { + 'hv': ((1.0405, -30.511), (1.0406, -60.291)), + 'mv': ((0.9602, -31.417), (0.9996, -60.764)), + 'lv': ((0.9995, -31.003), (0.9603, -61.178)) + } + for side in ["hv", "mv", "lv"]: + net = pandapowerNet(name=f"test_transformer3w_phase_shift side={side}") + b1 = create_bus(net, vn_kv=110.) + create_ext_grid(net, b1) + b2 = create_bus(net, vn_kv=20.) + create_load(net, b2, p_mw=10) + b3 = create_bus(net, vn_kv=0.4) + create_load(net, b3, p_mw=1) + create_transformer3w_from_parameters(net, hv_bus=b1, mv_bus=b2, lv_bus=b3, vn_hv_kv=110, + vn_mv_kv=20, vn_lv_kv=0.4, sn_hv_mva=40, + sn_mv_mva=30, sn_lv_mva=10, + vk_hv_percent=5, vk_mv_percent=5, + vk_lv_percent=5, vkr_hv_percent=0.1, + vkr_mv_percent=0.1, vkr_lv_percent=0.1, pfe_kw=0, + i0_percent=0.1, shift_mv_degree=30, + shift_lv_degree=60, tap_side=side, + tap_step_percent=2, tap_step_degree=10, tap_pos=0, + tap_neutral=0, tap_min=-2, + tap_max=2, tap_changer_type="Ratio") + runpp(net, init="dc", calculate_voltage_angles=True) + assert np.isclose(net.res_bus.vm_pu.at[b2], test_ref[0][0], rtol=1e-4) + assert np.isclose(net.res_bus.va_degree.at[b2], test_ref[0][1], rtol=1e-4) + assert np.isclose(net.res_bus.vm_pu.at[b3], test_ref[1][0], rtol=1e-4) + assert np.isclose(net.res_bus.va_degree.at[b3], test_ref[1][1], rtol=1e-4) + + net.trafo3w.at[0, "tap_pos"] = 2 + runpp(net, init="dc", calculate_voltage_angles=True) + assert np.isclose(net.res_bus.vm_pu.at[b2], test_tap_pos[side][0][0], rtol=1e-4) + assert np.isclose(net.res_bus.va_degree.at[b2], test_tap_pos[side][0][1], rtol=1e-4) + assert np.isclose(net.res_bus.vm_pu.at[b3], test_tap_pos[side][1][0], rtol=1e-4) + assert np.isclose(net.res_bus.va_degree.at[b3], test_tap_pos[side][1][1], rtol=1e-4) + + net.trafo3w.at[0, "tap_pos"] = -2 + runpp(net, init="dc", calculate_voltage_angles=True) + assert np.isclose(net.res_bus.vm_pu.at[b2], test_tap_neg[side][0][0], rtol=1e-4) + assert np.isclose(net.res_bus.va_degree.at[b2], test_tap_neg[side][0][1], rtol=1e-4) + assert np.isclose(net.res_bus.vm_pu.at[b3], test_tap_neg[side][1][0], rtol=1e-4) + assert np.isclose(net.res_bus.va_degree.at[b3], test_tap_neg[side][1][1], rtol=1e-4) + + +def test_volt_dep_load_at_inactive_bus(): + # create empty net + net = pandapowerNet(name="test_volt_dep_load_at_inactive_bus") + + # create buses + bus1 = create_bus(net, index=0, vn_kv=20., name="Bus 1") + bus2 = create_bus(net, index=1, vn_kv=0.4, name="Bus 2") + bus3 = create_bus(net, index=3, in_service=False, vn_kv=0.4, name="Bus 3") + bus4 = create_bus(net, index=4, vn_kv=0.4, name="Bus 4") + bus5 = create_bus(net, index=5, vn_kv=0.4, name="Bus 5") + + # create bus elements + create_ext_grid(net, bus=bus1, vm_pu=1.02, name="Grid Connection") + create_load(net, bus=bus4, p_mw=0.1, q_mvar=0.05, name="Load3", const_i_p_percent=100) + create_load(net, bus=5, p_mw=0.1, q_mvar=0.05, name="Load4") + + # create branch elements + create_transformer(net, hv_bus=bus1, lv_bus=bus2, std_type="0.4 MVA 20/0.4 kV", name="Trafo") + create_line(net, from_bus=bus2, to_bus=bus3, length_km=0.1, std_type="NAYY 4x50 SE", name="Line0") + create_line(net, from_bus=bus2, to_bus=bus4, length_km=0.1, std_type="NAYY 4x50 SE", name="Line1") + create_line(net, from_bus=bus2, to_bus=bus5, length_km=0.1, std_type="NAYY 4x50 SE", name="Line2") + + runpp(net) + assert not np.isnan(net.res_load.p_mw.at[bus2]) + assert not np.isnan(net.res_bus.p_mw.at[bus5]) + assert np.isnan(net.res_bus.p_mw.at[bus3]) + + +def test_two_oos_buses(): + net = pandapowerNet(name="test_two_oos_buses") + + b1 = create_bus(net, vn_kv=0.4) + b2 = create_bus(net, vn_kv=0.4) + b3 = create_bus(net, vn_kv=0.4, in_service=False) + b4 = create_bus(net, vn_kv=0.4, in_service=False) + + create_ext_grid(net, b1) + l1 = create_line(net, b1, b2, 0.5, std_type="NAYY 4x50 SE", index=4) + l2 = create_line(net, b2, b3, 0.5, std_type="NAYY 4x50 SE", index=2) + l3 = create_line(net, b3, b4, 0.5, std_type="NAYY 4x50 SE", index=7) + + runpp(net) + assert net.res_line.loading_percent.at[l1] > 0 + assert net.res_line.loading_percent.at[l2] > 0 + assert np.isnan(net.res_line.loading_percent.at[l3]) + + net.line = net.line.drop(l2) + runpp(net) + assert net.res_line.loading_percent.at[l1] > 0 + assert np.isnan(net.res_line.loading_percent.at[l3]) + + +def test_oos_buses_at_trafo3w(): + net = pandapowerNet(name="test_oos_buses_at_trafo3w") + + b1 = create_bus(net, vn_kv=110.) + b2 = create_bus(net, vn_kv=110.) + b3 = create_bus(net, vn_kv=110., in_service=False) + b4 = create_bus(net, vn_kv=20., in_service=False) + b5 = create_bus(net, vn_kv=10., in_service=False) + + create_ext_grid(net, b1) + l1 = create_line(net, b1, b2, 0.5, std_type="NAYY 4x50 SE", in_service=True) + create_line(net, b2, b3, 0.5, std_type="NAYY 4x50 SE", in_service=False) + + tidx = create_transformer3w( + net, b3, b4, b5, std_type='63/25/38 MVA 110/20/10 kV', in_service=True) + + runpp(net, trafo3w_losses='star', trafo_model='pi', init='flat') + + assert net.res_line.loading_percent.at[l1] > 0 + assert np.isnan(net.res_trafo3w.i_hv_ka.at[tidx]) + + +@pytest.fixture +def network_with_trafo3ws(): + net = pandapowerNet(name="network_with_trafo3ws") + add_test_trafo(net) + _, hv, _ = add_grid_connection(net, zone="test_trafo3w") + for _ in range(2): + mv = create_bus(net, vn_kv=0.6, zone="test_trafo3w") + create_load(net, mv, p_mw=0.8, q_mvar=0) + lv = create_bus(net, vn_kv=0.4, zone="test_trafo3w") + create_load(net, lv, p_mw=0.5, q_mvar=0) + t3 = create_transformer3w_from_parameters( + net, hv_bus=hv, mv_bus=mv, lv_bus=lv, vn_hv_kv=22, + vn_mv_kv=.64, vn_lv_kv=.42, sn_hv_mva=1, + sn_mv_mva=0.7, sn_lv_mva=0.3, vk_hv_percent=1., + vkr_hv_percent=.03, vk_mv_percent=.5, + vkr_mv_percent=.02, vk_lv_percent=.25, + vkr_lv_percent=.01, pfe_kw=.5, i0_percent=0.1, + name="test", index=get_free_id(net.trafo3w) + 1, + tap_side="hv", tap_pos=2, tap_step_percent=1.25, + tap_min=-5, tap_neutral=0, tap_max=5, tap_changer_type="Ratio") + return net, t3, hv, mv, lv + + +def test_trafo3w_switches(network_with_trafo3ws): + # FIXME: reenable voltage dependent loads + net, t3, hv, mv, lv = network_with_trafo3ws + + # open switch at hv side - t3 is disconnected + s1 = create_switch(net, bus=hv, element=t3, et="t3", closed=False) + runpp_with_consistency_checks(net, voltage_depend_loads=False) + assert np.isnan(net.res_bus.vm_pu.at[mv]) + assert np.isnan(net.res_bus.vm_pu.at[lv]) + assert np.isnan(net.res_trafo3w.p_hv_mw.at[t3]) == 0 + + # open switch at mv side - mv is disconnected, lv is connected + net.switch.at[s1, "bus"] = mv + runpp_with_consistency_checks(net, voltage_depend_loads=False) + + assert np.isnan(net.res_bus.vm_pu.at[mv]) + assert not np.isnan(net.res_bus.vm_pu.at[lv]) + assert net.res_trafo3w.i_lv_ka.at[t3] > 1e-5 + assert net.res_trafo3w.i_mv_ka.at[t3] < 1e-5 + assert 0.490 < net.res_trafo3w.p_hv_mw.at[t3] < 0.510 + + # open switch at lv side - lv is disconnected, mv is connected + net.switch.at[s1, "bus"] = lv + runpp_with_consistency_checks(net, voltage_depend_loads=False) + + assert np.isnan(net.res_bus.vm_pu.at[lv]) + assert not np.isnan(net.res_bus.vm_pu.at[mv]) + assert net.res_trafo3w.i_lv_ka.at[t3] < 1e-5 + assert net.res_trafo3w.i_mv_ka.at[t3] > 1e-5 + assert 0.790 < net.res_trafo3w.p_hv_mw.at[t3] < 0.810 + + # open switch at lv and mv side - lv and mv is disconnected, t3 in open loop + create_switch(net, bus=mv, element=t3, et="t3", closed=False) + runpp_with_consistency_checks(net, voltage_depend_loads=False) + + assert np.isnan(net.res_bus.vm_pu.at[lv]) + assert np.isnan(net.res_bus.vm_pu.at[mv]) + assert net.res_trafo3w.i_lv_ka.at[t3] < 1e-5 + assert net.res_trafo3w.i_mv_ka.at[t3] < 1e-5 + assert 0 < net.res_trafo3w.p_hv_mw.at[t3] < 1 + + +def test_generator_as_slack(): + net = pandapowerNet(name="test_generator_as_slack") + b1 = create_bus(net, 110.) + create_ext_grid(net, b1, vm_pu=1.02) + b2 = create_bus(net, 110.) + create_line(net, b1, b2, length_km=70., std_type='149-AL1/24-ST1A 110.0') + create_load(net, b2, p_mw=2) + runpp(net) + res_bus = net.res_bus.vm_pu.values + + create_gen(net, b1, p_mw=0.1, vm_pu=1.02, slack=True) + net.ext_grid.loc[0, 'in_service'] = False + runpp(net) + assert np.allclose(res_bus, net.res_bus.vm_pu.values) + + net.gen.loc[0, 'slack'] = False + with pytest.raises(UserWarning): + runpp(net) + + +def test_transformer_with_two_open_switches(): + net = pandapowerNet(name="test_transformer_with_two_open_switches") + b1 = create_bus(net, 110.) + create_ext_grid(net, b1, vm_pu=1.02) + b2 = create_bus(net, 20.) + t = create_transformer(net, b1, b2, std_type='63 MVA 110/20 kV') + b3 = create_bus(net, 20.) + create_line(net, b2, b3, length_km=7., std_type='149-AL1/24-ST1A 110.0') + create_load(net, b2, p_mw=2) + runpp(net) + + assert net.res_trafo.vm_hv_pu.at[t] == net.res_bus.vm_pu.at[b1] + assert net.res_trafo.vm_lv_pu.at[t] == net.res_bus.vm_pu.at[b2] + + create_switch(net, b2, element=t, et="t", closed=False) + runpp(net) + assert net.res_trafo.vm_hv_pu.at[t] == net.res_bus.vm_pu.at[b1] + assert net.res_trafo.vm_lv_pu.at[t] != net.res_bus.vm_pu.at[b2] + + create_switch(net, b1, element=t, et="t", closed=False) + runpp(net) + assert net.res_trafo.vm_hv_pu.at[t] != net.res_bus.vm_pu.at[b1] + assert net.res_trafo.vm_lv_pu.at[t] != net.res_bus.vm_pu.at[b2] + + +def test_motor(): + net = pandapowerNet(name="test_motor") + b1 = create_bus(net, 0.4) + b2 = create_bus(net, 0.4) + create_line(net, b1, b2, length_km=0.1, std_type="NAYY 4x50 SE") + create_ext_grid(net, b1) + p_mech = 0.1 + cos_phi = 0.98 + efficiency = 95 + create_motor(net, b2, pn_mech_mw=0.1, cos_phi=cos_phi, + efficiency_percent=efficiency) + + runpp(net) + p = net.res_motor.p_mw.iloc[0] + q = net.res_motor.q_mvar.iloc[0] + s = np.sqrt(p ** 2 + q ** 2) + assert p == p_mech / efficiency * 100 + assert p / s == cos_phi + res_bus_motor = net.res_bus.copy() + + create_load(net, b2, p_mw=net.res_motor.p_mw.values[0], + q_mvar=net.res_motor.q_mvar.values[0]) + net.motor.in_service = False + + runpp(net) + assert net.res_bus.equals(res_bus_motor) + + +def test_switch_results(): + net = simple_mv_open_ring_net() + net.ext_grid["s_sc_max_mva"] = 1000 + net.ext_grid['rx_max'] = 0.1 + + switch_trafo_hv = create_switch(net, bus=0, element=0, et="t") + switch_trafo_lv = create_switch(net, bus=1, element=0, et="t") + + closed_line_switch = 1 + open_line_switch = 6 + + new_bus = create_bus(net, vn_kv=20.0) + create_load(net, new_bus, p_mw=1.5) + closed_bb_switch = create_switch(net, bus=new_bus, element=6, et="b") + + new_bus = create_bus(net, vn_kv=20.0) + in_ka = 0.1 + create_load(net, new_bus, p_mw=1.5) + closed_bb_switch_impedance = create_switch(net, bus=new_bus, element=4, et="b", z_ohm=0.1, in_ka=in_ka) + + new_bus = create_bus(net, vn_kv=20.0) + create_load(net, new_bus, p_mw=1.5) + open_bb_switch = create_switch(net, bus=new_bus, element=6, et="b", closed=False) + + runpp(net) + + assert np.isclose(net.res_switch.i_ka.at[open_line_switch], 0) + assert np.isclose(net.res_switch.i_ka.at[open_bb_switch], 0) + + assert np.isnan(net.res_switch.i_ka.at[closed_bb_switch]) + assert np.isclose(net.res_switch.i_ka.at[closed_bb_switch_impedance], 0.04378035814760788) + loading = net.res_switch.i_ka.at[closed_bb_switch_impedance] / in_ka * 100 + assert np.isclose(net.res_switch.loading_percent.at[closed_bb_switch_impedance], loading) + + line = net.switch.element.at[closed_line_switch] + assert np.isclose(net.res_switch.i_ka.at[closed_line_switch], net.res_line.i_ka.at[line]) + + trafo = net.switch.element.at[switch_trafo_hv] + assert np.isclose(net.res_switch.i_ka.at[switch_trafo_hv], abs(net.res_trafo.i_hv_ka.at[trafo])) + assert np.isclose(net.res_switch.i_ka.at[switch_trafo_lv], abs(net.res_trafo.i_lv_ka.at[trafo])) + + calc_sc(net, branch_results=True) + + assert np.isclose(net.res_switch_sc.ikss_ka.at[open_line_switch], 0) + assert np.isclose(net.res_switch_sc.ikss_ka.at[open_bb_switch], 0) + + assert np.isnan(net.res_switch_sc.ikss_ka.at[closed_bb_switch]) + assert np.isclose(net.res_switch_sc.ikss_ka.at[closed_bb_switch_impedance], 4.555211220391998) + + assert np.isclose(net.res_switch_sc.ikss_ka.at[closed_line_switch], net.res_line_sc.ikss_ka.at[line]) + + assert np.isclose(net.res_switch_sc.ikss_ka.at[switch_trafo_hv], abs(net.res_trafo_sc.ikss_hv_ka.at[trafo])) + assert np.isclose(net.res_switch_sc.ikss_ka.at[switch_trafo_lv], abs(net.res_trafo_sc.ikss_lv_ka.at[trafo])) + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/loadflow/test_tdpf.py b/test/loadflow/test_tdpf.py similarity index 88% rename from pandapower/test/loadflow/test_tdpf.py rename to test/loadflow/test_tdpf.py index f491b03f0b..546b470ada 100644 --- a/pandapower/test/loadflow/test_tdpf.py +++ b/test/loadflow/test_tdpf.py @@ -1,5 +1,6 @@ # Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics # and Energy System Technology (IEE), Kassel. All rights reserved. + import os import numpy as np @@ -7,13 +8,12 @@ import pytest import copy -from pandapower import pp_dir from pandapower.create import ( - create_bus, create_line, create_load, create_ext_grid, create_buses, create_sgen, create_gen, create_gens, - create_line_from_parameters + create_bus, create_line, create_load, create_ext_grid, create_gens, create_line_from_parameters ) from pandapower.network import pandapowerNet from pandapower.networks.power_system_test_cases import case9, case30 +from pandapower.networks.simple_pandapower_test_networks import simple_test_grid from pandapower.pf.create_jacobian_tdpf import ( calc_r_theta_from_t_rise, calc_i_square_p_loss, calc_g_b, calc_a0_a1_a2_tau, calc_T_ngoko, calc_r_theta, calc_T_frank, ALPHA_TDPF @@ -21,7 +21,9 @@ from pandapower.pypower.idx_brch import BR_R, BR_X from pandapower.run import set_user_pf_options, runpp from pandapower.std_types import parameter_from_std_type -from pandapower.test.helper_functions import assert_res_equal + +from test import test_path +from test.helper_functions import assert_res_equal @pytest.fixture( @@ -105,62 +107,6 @@ def prepare_case_30(): return net -def simple_test_grid(load_scaling=1., sgen_scaling=1., with_gen=False, distributed_slack=False): - s_base = 100 - - net = pandapowerNet(name="simple_test_grid", sn_mva=s_base) - std_type = "490-AL1/64-ST1A 110.0" - r = 0.059 - v_base = 132 - z_base = v_base ** 2 / s_base - - create_buses(net, 5, v_base, geodata=[(0, 1), (-1, 0.5), (0, 0), (1, 0.5), (0, 0.5)]) - - create_line(net, 0, 1, 0.84e-2 * z_base / r, std_type, name="1-2") - create_line(net, 0, 3, 0.84e-2 * z_base / r, std_type, name="1-4") - create_line(net, 1, 2, 0.67e-2 * z_base / r, std_type, name="2-3") - create_line(net, 1, 4, 0.42e-2 * z_base / r, std_type, name="2-5") - create_line(net, 2, 3, 0.67e-2 * z_base / r, std_type, name="3-4") - create_line(net, 3, 4, 0.42e-2 * z_base / r, std_type, name="4-5") - net.line.c_nf_per_km = 0 - - net.line["temperature_degree_celsius"] = 20 - net.line["reference_temperature_degree_celsius"] = 20 - net.line["air_temperature_degree_celsius"] = 35 - net.line["alpha"] = ALPHA_TDPF - net.line["conductor_outer_diameter_m"] = 30.6e-3 - net.line["mc_joule_per_m_k"] = 1490 - net.line["wind_speed_m_per_s"] = 0.6 - net.line["wind_angle_degree"] = 45 - net.line["solar_radiation_w_per_sq_m"] = 900 - net.line["solar_absorptivity"] = 0.5 - net.line["emissivity"] = 0.5 - net.line["tdpf"] = True - - create_ext_grid(net, 3, 1.05, name="G1") - create_sgen(net, 0, 200, scaling=sgen_scaling, name="R1") - create_sgen(net, 1, 250, scaling=sgen_scaling, name="R2") - if with_gen: - idx = create_gen(net, 2, 600, 1., scaling=sgen_scaling, name="G3") - create_gen(net, 4, 300, 1., scaling=sgen_scaling, name="G5") - else: - idx = create_sgen(net, 2, 600, scaling=sgen_scaling, name="G3") - create_sgen(net, 4, 300, scaling=sgen_scaling, name="G5") - - if distributed_slack: - if with_gen: # distributed slack is currently not supported for sgen. - net["gen"]["slack_weight"] = 0.0 - net["gen"].at[idx, 'slack_weight'] = 1 - set_user_pf_options(net, distributed_slack=True) - net.sn_mva = 1000 # otherwise numerical issues - - create_load(net, 1, 600, 240, scaling=load_scaling) - create_load(net, 3, 1000, 400, scaling=load_scaling) - create_load(net, 4, 400, 160, scaling=load_scaling) - - return net - - def test_tdpf_frank_current(): net = prepare_case_30() net.line["c_nf_per_km"] = 0 # otherwise i_square_pu will not match net.res_line.i_ka @@ -196,7 +142,7 @@ def test_tdpf_frank(): line_max_mva = net.line.max_i_ka.loc[sorted_index] * 135 * np.sqrt(3) line_loading = line_mva / line_max_mva - ref2 = pd.read_csv(os.path.join(pp_dir, "test", "test_files", "tdpf", "case30_branch_details.csv")) + ref2 = pd.read_csv(os.path.join(test_path, "test_files", "tdpf", "case30_branch_details.csv")) ref2 = ref2.sort_values(by="R_THETA", ascending=False) # compare p_loss @@ -396,7 +342,7 @@ def test_with_user_pf_options(): # Relationship of Bare Overhead Conductors" Basic Example with Calculation, Page 23 and following def test_IEEE_example_1(): # 60Hz according to USA - net = pandapowerNet(name="test_IEEE_example_1",f_hz=60.0) + net = pandapowerNet(name="test_IEEE_example_1", f_hz=60.0) b1 = create_bus(net, vn_kv=380, name='b1_hv', type='n') b2 = create_bus(net, vn_kv=380, name='b10', type='n') @@ -445,7 +391,7 @@ def test_IEEE_example_1(): # Relationship of Bare Overhead Conductors", Annex B, Numerical example 1, Page 44 def test_IEEE_example_2(): # 60Hz according to USA - net = pandapowerNet(name="test_IEEE_example_2",f_hz=60.0) + net = pandapowerNet(name="test_IEEE_example_2", f_hz=60.0) b1 = create_bus(net, vn_kv=380, name='b1_hv', type='n') b2 = create_bus(net, vn_kv=380, name='b10', type='n') @@ -493,7 +439,7 @@ def test_IEEE_example_2(): # Relationship of Bare Overhead Conductors", Annex B, Numerical example 2, Page 45 def test_IEEE_example_3(): # 60Hz according to USA - net = pandapowerNet(name="test_IEEE_example_3",f_hz=60.0) + net = pandapowerNet(name="test_IEEE_example_3", f_hz=60.0) b1 = create_bus(net, vn_kv=380, name='b1_hv', type='n') b2 = create_bus(net, vn_kv=380, name='b10', type='n') diff --git a/pandapower/test/loadflow/testgrid.p b/test/loadflow/testgrid.p similarity index 100% rename from pandapower/test/loadflow/testgrid.p rename to test/loadflow/testgrid.p diff --git a/pandapower/test/networks/__init__.py b/test/network_schema/__init__.py similarity index 100% rename from pandapower/test/networks/__init__.py rename to test/network_schema/__init__.py diff --git a/pandapower/test/plotting/__init__.py b/test/network_schema/elements/__init__.py similarity index 100% rename from pandapower/test/plotting/__init__.py rename to test/network_schema/elements/__init__.py diff --git a/pandapower/test/network_schema/elements/helper.py b/test/network_schema/elements/helper.py similarity index 100% rename from pandapower/test/network_schema/elements/helper.py rename to test/network_schema/elements/helper.py diff --git a/pandapower/test/network_schema/elements/test_pandera_asymetric_load_elements.py b/test/network_schema/elements/test_pandera_asymetric_load_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_asymetric_load_elements.py rename to test/network_schema/elements/test_pandera_asymetric_load_elements.py index 04a032ada3..08ab4095c7 100644 --- a/pandapower/test/network_schema/elements/test_pandera_asymetric_load_elements.py +++ b/test/network_schema/elements/test_pandera_asymetric_load_elements.py @@ -8,7 +8,8 @@ from pandapower.create import create_bus, create_asymmetric_load from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( + +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_asymetric_sgen_elements.py b/test/network_schema/elements/test_pandera_asymetric_sgen_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_asymetric_sgen_elements.py rename to test/network_schema/elements/test_pandera_asymetric_sgen_elements.py index 48dc30a0ae..bbc7fe173b 100644 --- a/pandapower/test/network_schema/elements/test_pandera_asymetric_sgen_elements.py +++ b/test/network_schema/elements/test_pandera_asymetric_sgen_elements.py @@ -8,7 +8,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_bus_dc_elements.py b/test/network_schema/elements/test_pandera_bus_dc_elements.py similarity index 98% rename from pandapower/test/network_schema/elements/test_pandera_bus_dc_elements.py rename to test/network_schema/elements/test_pandera_bus_dc_elements.py index 51c559cd38..d14d0d384d 100644 --- a/pandapower/test/network_schema/elements/test_pandera_bus_dc_elements.py +++ b/test/network_schema/elements/test_pandera_bus_dc_elements.py @@ -9,7 +9,7 @@ from pandapower.create import create_bus_dc from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( bools, not_strings_list, not_floats_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_bus_elements.py b/test/network_schema/elements/test_pandera_bus_elements.py similarity index 98% rename from pandapower/test/network_schema/elements/test_pandera_bus_elements.py rename to test/network_schema/elements/test_pandera_bus_elements.py index e5241cbab9..c2a4b54d85 100644 --- a/pandapower/test/network_schema/elements/test_pandera_bus_elements.py +++ b/test/network_schema/elements/test_pandera_bus_elements.py @@ -7,7 +7,7 @@ from pandapower.create import create_bus from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_dcline_elements.py b/test/network_schema/elements/test_pandera_dcline_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_dcline_elements.py rename to test/network_schema/elements/test_pandera_dcline_elements.py index c17d774b1a..86716a564b 100644 --- a/pandapower/test/network_schema/elements/test_pandera_dcline_elements.py +++ b/test/network_schema/elements/test_pandera_dcline_elements.py @@ -9,7 +9,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_ext_grid_elements.py b/test/network_schema/elements/test_pandera_ext_grid_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_ext_grid_elements.py rename to test/network_schema/elements/test_pandera_ext_grid_elements.py index ab4c299adf..a9255a9c6d 100644 --- a/pandapower/test/network_schema/elements/test_pandera_ext_grid_elements.py +++ b/test/network_schema/elements/test_pandera_ext_grid_elements.py @@ -8,7 +8,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_gen_elements.py b/test/network_schema/elements/test_pandera_gen_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_gen_elements.py rename to test/network_schema/elements/test_pandera_gen_elements.py index 8d36b8cb23..c58fbf839d 100644 --- a/pandapower/test/network_schema/elements/test_pandera_gen_elements.py +++ b/test/network_schema/elements/test_pandera_gen_elements.py @@ -7,7 +7,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_impedance_elements.py b/test/network_schema/elements/test_pandera_impedance_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_impedance_elements.py rename to test/network_schema/elements/test_pandera_impedance_elements.py index 10a008213e..308cb57308 100644 --- a/pandapower/test/network_schema/elements/test_pandera_impedance_elements.py +++ b/test/network_schema/elements/test_pandera_impedance_elements.py @@ -7,7 +7,7 @@ from pandapower.create import create_bus, create_impedance from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, all_allowed_floats, not_floats_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_line_dc_elements.py b/test/network_schema/elements/test_pandera_line_dc_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_line_dc_elements.py rename to test/network_schema/elements/test_pandera_line_dc_elements.py index d47aebb2d4..bdb78c164c 100644 --- a/pandapower/test/network_schema/elements/test_pandera_line_dc_elements.py +++ b/test/network_schema/elements/test_pandera_line_dc_elements.py @@ -9,7 +9,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_line_elements.py b/test/network_schema/elements/test_pandera_line_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_line_elements.py rename to test/network_schema/elements/test_pandera_line_elements.py index b32b5cde41..128cb1b950 100644 --- a/pandapower/test/network_schema/elements/test_pandera_line_elements.py +++ b/test/network_schema/elements/test_pandera_line_elements.py @@ -10,7 +10,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_load_dc_elements.py b/test/network_schema/elements/test_pandera_load_dc_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_load_dc_elements.py rename to test/network_schema/elements/test_pandera_load_dc_elements.py index 2c9f88c019..d99322d17e 100644 --- a/pandapower/test/network_schema/elements/test_pandera_load_dc_elements.py +++ b/test/network_schema/elements/test_pandera_load_dc_elements.py @@ -9,7 +9,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_load_elements.py b/test/network_schema/elements/test_pandera_load_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_load_elements.py rename to test/network_schema/elements/test_pandera_load_elements.py index c89cdd408a..e10720580f 100644 --- a/pandapower/test/network_schema/elements/test_pandera_load_elements.py +++ b/test/network_schema/elements/test_pandera_load_elements.py @@ -7,7 +7,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_measurment_elements.py b/test/network_schema/elements/test_pandera_measurment_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_measurment_elements.py rename to test/network_schema/elements/test_pandera_measurment_elements.py index 8d304381bb..decfd255ae 100644 --- a/pandapower/test/network_schema/elements/test_pandera_measurment_elements.py +++ b/test/network_schema/elements/test_pandera_measurment_elements.py @@ -7,7 +7,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_motor_elements.py b/test/network_schema/elements/test_pandera_motor_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_motor_elements.py rename to test/network_schema/elements/test_pandera_motor_elements.py index aeb6e47344..c11e45fb0f 100644 --- a/pandapower/test/network_schema/elements/test_pandera_motor_elements.py +++ b/test/network_schema/elements/test_pandera_motor_elements.py @@ -10,7 +10,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_sgen_elements.py b/test/network_schema/elements/test_pandera_sgen_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_sgen_elements.py rename to test/network_schema/elements/test_pandera_sgen_elements.py index 4554b8e8c2..b8cb35aac3 100644 --- a/pandapower/test/network_schema/elements/test_pandera_sgen_elements.py +++ b/test/network_schema/elements/test_pandera_sgen_elements.py @@ -8,7 +8,7 @@ from pandapower.create import create_bus, create_sgen from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_shunt_elements.py b/test/network_schema/elements/test_pandera_shunt_elements.py similarity index 98% rename from pandapower/test/network_schema/elements/test_pandera_shunt_elements.py rename to test/network_schema/elements/test_pandera_shunt_elements.py index c48bfe3377..03b8d07d56 100644 --- a/pandapower/test/network_schema/elements/test_pandera_shunt_elements.py +++ b/test/network_schema/elements/test_pandera_shunt_elements.py @@ -10,7 +10,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, @@ -194,7 +194,7 @@ def test_valid_optional_values(self, parameter, valid_value): id_characteristic_table=0, ) - from pandapower.create._utils import add_column_to_df + from pandapower.create.utils import add_column_to_df add_column_to_df(net, "shunt", parameter) if parameter == "max_step": diff --git a/pandapower/test/network_schema/elements/test_pandera_source_dc_elements.py b/test/network_schema/elements/test_pandera_source_dc_elements.py similarity index 98% rename from pandapower/test/network_schema/elements/test_pandera_source_dc_elements.py rename to test/network_schema/elements/test_pandera_source_dc_elements.py index 9373e987a4..ce69e69168 100644 --- a/pandapower/test/network_schema/elements/test_pandera_source_dc_elements.py +++ b/test/network_schema/elements/test_pandera_source_dc_elements.py @@ -10,7 +10,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_ssc_elements.py b/test/network_schema/elements/test_pandera_ssc_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_ssc_elements.py rename to test/network_schema/elements/test_pandera_ssc_elements.py index dd12e3ddc0..3f80dc935b 100644 --- a/pandapower/test/network_schema/elements/test_pandera_ssc_elements.py +++ b/test/network_schema/elements/test_pandera_ssc_elements.py @@ -9,7 +9,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_storage_elements.py b/test/network_schema/elements/test_pandera_storage_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_storage_elements.py rename to test/network_schema/elements/test_pandera_storage_elements.py index 4ecb81a64a..8fa7689394 100644 --- a/pandapower/test/network_schema/elements/test_pandera_storage_elements.py +++ b/test/network_schema/elements/test_pandera_storage_elements.py @@ -10,7 +10,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_svc_elements.py b/test/network_schema/elements/test_pandera_svc_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_svc_elements.py rename to test/network_schema/elements/test_pandera_svc_elements.py index 89264059ae..4b59c48907 100644 --- a/pandapower/test/network_schema/elements/test_pandera_svc_elements.py +++ b/test/network_schema/elements/test_pandera_svc_elements.py @@ -9,7 +9,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, all_floats, bools, diff --git a/pandapower/test/network_schema/elements/test_pandera_switch_elements.py b/test/network_schema/elements/test_pandera_switch_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_switch_elements.py rename to test/network_schema/elements/test_pandera_switch_elements.py index 5a0c9668d0..697890c1b1 100644 --- a/pandapower/test/network_schema/elements/test_pandera_switch_elements.py +++ b/test/network_schema/elements/test_pandera_switch_elements.py @@ -10,7 +10,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_tcsc_elements.py b/test/network_schema/elements/test_pandera_tcsc_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_tcsc_elements.py rename to test/network_schema/elements/test_pandera_tcsc_elements.py index e41e5f14b2..2665daece4 100644 --- a/pandapower/test/network_schema/elements/test_pandera_tcsc_elements.py +++ b/test/network_schema/elements/test_pandera_tcsc_elements.py @@ -7,7 +7,7 @@ from pandapower.create import create_bus, create_tcsc from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, all_floats, bools, diff --git a/pandapower/test/network_schema/elements/test_pandera_trafo3w_elements.py b/test/network_schema/elements/test_pandera_trafo3w_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_trafo3w_elements.py rename to test/network_schema/elements/test_pandera_trafo3w_elements.py index 11268f341c..7454adfd33 100644 --- a/pandapower/test/network_schema/elements/test_pandera_trafo3w_elements.py +++ b/test/network_schema/elements/test_pandera_trafo3w_elements.py @@ -9,7 +9,7 @@ from pandapower.create import create_bus from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_trafo_elements.py b/test/network_schema/elements/test_pandera_trafo_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_trafo_elements.py rename to test/network_schema/elements/test_pandera_trafo_elements.py index e3f66f9bba..891a627cd8 100644 --- a/pandapower/test/network_schema/elements/test_pandera_trafo_elements.py +++ b/test/network_schema/elements/test_pandera_trafo_elements.py @@ -9,7 +9,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_vsc_bipolar_elements.py b/test/network_schema/elements/test_pandera_vsc_bipolar_elements.py similarity index 98% rename from pandapower/test/network_schema/elements/test_pandera_vsc_bipolar_elements.py rename to test/network_schema/elements/test_pandera_vsc_bipolar_elements.py index 584450a53a..4d89b7eb99 100644 --- a/pandapower/test/network_schema/elements/test_pandera_vsc_bipolar_elements.py +++ b/test/network_schema/elements/test_pandera_vsc_bipolar_elements.py @@ -9,7 +9,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, @@ -179,7 +179,7 @@ def test_valid_optional_values(self, parameter, valid_value): controllable=row["controllable"], in_service=row["in_service"], ) - from pandapower.create._utils import add_column_to_df + from pandapower.create.utils import add_column_to_df add_column_to_df(net, "vsc_bipolar", parameter) net.vsc_bipolar["name"].name = parameter diff --git a/pandapower/test/network_schema/elements/test_pandera_vsc_elements.py b/test/network_schema/elements/test_pandera_vsc_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_vsc_elements.py rename to test/network_schema/elements/test_pandera_vsc_elements.py index 830da9a0c0..dc22d5776f 100644 --- a/pandapower/test/network_schema/elements/test_pandera_vsc_elements.py +++ b/test/network_schema/elements/test_pandera_vsc_elements.py @@ -9,7 +9,7 @@ from pandapower.create import create_bus, create_bus_dc, create_vsc from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_vsc_stacked_elements.py b/test/network_schema/elements/test_pandera_vsc_stacked_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_vsc_stacked_elements.py rename to test/network_schema/elements/test_pandera_vsc_stacked_elements.py index bcef533235..fe97c6166a 100644 --- a/pandapower/test/network_schema/elements/test_pandera_vsc_stacked_elements.py +++ b/test/network_schema/elements/test_pandera_vsc_stacked_elements.py @@ -7,7 +7,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_ward_elements.py b/test/network_schema/elements/test_pandera_ward_elements.py similarity index 98% rename from pandapower/test/network_schema/elements/test_pandera_ward_elements.py rename to test/network_schema/elements/test_pandera_ward_elements.py index 3e3c7a5088..99d572eab3 100644 --- a/pandapower/test/network_schema/elements/test_pandera_ward_elements.py +++ b/test/network_schema/elements/test_pandera_ward_elements.py @@ -10,7 +10,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/network_schema/elements/test_pandera_xward_elements.py b/test/network_schema/elements/test_pandera_xward_elements.py similarity index 99% rename from pandapower/test/network_schema/elements/test_pandera_xward_elements.py rename to test/network_schema/elements/test_pandera_xward_elements.py index 94794f1ad4..d1954dd39b 100644 --- a/pandapower/test/network_schema/elements/test_pandera_xward_elements.py +++ b/test/network_schema/elements/test_pandera_xward_elements.py @@ -10,7 +10,7 @@ from pandapower.network import pandapowerNet from pandapower.network_schema.tools.validation.network_validation import validate_network -from pandapower.test.network_schema.elements.helper import ( +from test.network_schema.elements.helper import ( strings, bools, not_strings_list, diff --git a/pandapower/test/protection/__init__.py b/test/network_schema/tools/__init__.py similarity index 100% rename from pandapower/test/protection/__init__.py rename to test/network_schema/tools/__init__.py diff --git a/pandapower/test/network_schema/tools/test_bus_index_validation.py b/test/network_schema/tools/test_bus_index_validation.py similarity index 99% rename from pandapower/test/network_schema/tools/test_bus_index_validation.py rename to test/network_schema/tools/test_bus_index_validation.py index 89247fd077..8e121b82af 100644 --- a/pandapower/test/network_schema/tools/test_bus_index_validation.py +++ b/test/network_schema/tools/test_bus_index_validation.py @@ -14,7 +14,7 @@ create_bus, create_load, create_ext_grid, create_line, create_transformer, create_gen, create_bus_dc, create_vsc, create_switch ) -from pandapower.create._utils import _get_index_with_check +from pandapower.create.utils import _get_index_with_check from pandapower.network import pandapowerNet from pandapower.network_schema.line import line_schema from pandapower.network_schema.bus import bus_schema @@ -24,10 +24,12 @@ from pandapower.network_schema.load import load_schema from pandapower.network_schema.trafo import trafo_schema + class TestCreateMultiColumnReferenceSchema: """ Tests for the :func:`_create_multi_column_reference_schema` function. """ + def test_schema_validates_correct_columns(self) -> None: """ Test that schema validates the specified columns. @@ -78,6 +80,7 @@ class TestBusIndexValidation: """ Tests for the :func:`_bus_index_validation` function. """ + def test_line_with_valid_buses(self) -> None: """ Test that validation passes for line with valid bus references. diff --git a/pandapower/test/network_schema/tools/test_pandera_bus_index_validation.py b/test/network_schema/tools/test_pandera_bus_index_validation.py similarity index 100% rename from pandapower/test/network_schema/tools/test_pandera_bus_index_validation.py rename to test/network_schema/tools/test_pandera_bus_index_validation.py diff --git a/pandapower/test/network_schema/tools/test_pandera_group_dependency.py b/test/network_schema/tools/test_pandera_group_dependency.py similarity index 100% rename from pandapower/test/network_schema/tools/test_pandera_group_dependency.py rename to test/network_schema/tools/test_pandera_group_dependency.py diff --git a/pandapower/test/network_schema/tools/test_pandera_helper.py b/test/network_schema/tools/test_pandera_helper.py similarity index 100% rename from pandapower/test/network_schema/tools/test_pandera_helper.py rename to test/network_schema/tools/test_pandera_helper.py diff --git a/pandapower/test/shortcircuit/__init__.py b/test/networks/__init__.py similarity index 100% rename from pandapower/test/shortcircuit/__init__.py rename to test/networks/__init__.py diff --git a/pandapower/test/networks/test_cigre_networks.py b/test/networks/test_cigre_networks.py similarity index 96% rename from pandapower/test/networks/test_cigre_networks.py rename to test/networks/test_cigre_networks.py index 5a89c03cf7..ffbb31a97e 100644 --- a/pandapower/test/networks/test_cigre_networks.py +++ b/test/networks/test_cigre_networks.py @@ -1,108 +1,108 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import pandas as pd -import pytest - -from pandapower.networks.cigre_networks import create_cigre_network_hv, create_cigre_network_mv, create_cigre_network_lv -from pandapower.run import runpp - - -def test_cigre_hv(): - net = create_cigre_network_hv() # length_km_6a_6b=0.1 - runpp(net) - - all_vn_kv = pd.Series([22, 220, 380]) - assert net.bus.vn_kv.isin(all_vn_kv).all() - all_length_km = pd.Series([100, 300, 600, 0.1]) - assert net.line.length_km.isin(all_length_km).all() - assert len(net.bus) == 13 - assert len(net.line) == 9 - assert len(net.gen) == 3 - assert len(net.sgen) == 0 - assert len(net.shunt) == 3 - assert len(net.trafo) == 6 - assert len(net.load) == 5 - assert len(net.ext_grid) == 1 - assert net.converged - - net = create_cigre_network_hv(length_km_6a_6b=80) - assert net.line.length_km[8] == 80 - - -def test_cigre_mv(): - net = create_cigre_network_mv() # with_der=False - runpp(net) - - all_vn_kv = pd.Series([110, 20]) - assert net.bus.vn_kv.isin(all_vn_kv).all() - assert len(net.bus) == 15 - assert len(net.line) == 15 - assert len(net.gen) == 0 - assert len(net.sgen) == 0 - assert len(net.shunt) == 0 - assert len(net.trafo) == 2 - assert len(net.load) == 18 - assert len(net.ext_grid) == 1 - assert len(net.switch) == 8 - assert net.converged - - -def test_cigre_mv_pv_wind(): - net = create_cigre_network_mv(with_der="pv_wind") - runpp(net) - - all_vn_kv = pd.Series([110, 20]) - assert net.bus.vn_kv.isin(all_vn_kv).all() - assert len(net.bus) == 15 - assert len(net.line) == 15 - assert len(net.gen) == 0 - assert len(net.sgen) == 9 - assert len(net.shunt) == 0 - assert len(net.trafo) == 2 - assert len(net.load) == 18 - assert len(net.ext_grid) == 1 - assert len(net.switch) == 8 - assert net.converged - - -def test_cigre_mv_all(): - net = create_cigre_network_mv(with_der="all") - runpp(net) - - all_vn_kv = pd.Series([110, 20]) - assert net.bus.vn_kv.isin(all_vn_kv).all() - assert len(net.bus) == 15 - assert len(net.line) == 15 - assert len(net.gen) == 0 - assert len(net.sgen) == 13 - assert len(net.storage) == 2 - assert len(net.shunt) == 0 - assert len(net.trafo) == 2 - assert len(net.load) == 18 - assert len(net.ext_grid) == 1 - assert len(net.switch) == 8 - assert net.converged - - -def test_cigre_lv(): - net = create_cigre_network_lv() - runpp(net) - - all_vn_kv = pd.Series([20, 0.4]) - assert net.bus.vn_kv.isin(all_vn_kv).all() - assert len(net.bus) == 44 - assert len(net.line) == 37 - assert len(net.gen) == 0 - assert len(net.sgen) == 0 - assert len(net.shunt) == 0 - assert len(net.trafo) == 3 - assert len(net.load) == 15 - assert len(net.ext_grid) == 1 - assert len(net.switch) == 3 - assert net.converged - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import pandas as pd +import pytest + +from pandapower.networks.cigre_networks import create_cigre_network_hv, create_cigre_network_mv, create_cigre_network_lv +from pandapower.run import runpp + + +def test_cigre_hv(): + net = create_cigre_network_hv() # length_km_6a_6b=0.1 + runpp(net) + + all_vn_kv = pd.Series([22, 220, 380]) + assert net.bus.vn_kv.isin(all_vn_kv).all() + all_length_km = pd.Series([100, 300, 600, 0.1]) + assert net.line.length_km.isin(all_length_km).all() + assert len(net.bus) == 13 + assert len(net.line) == 9 + assert len(net.gen) == 3 + assert len(net.sgen) == 0 + assert len(net.shunt) == 3 + assert len(net.trafo) == 6 + assert len(net.load) == 5 + assert len(net.ext_grid) == 1 + assert net.converged + + net = create_cigre_network_hv(length_km_6a_6b=80) + assert net.line.length_km[8] == 80 + + +def test_cigre_mv(): + net = create_cigre_network_mv() # with_der=False + runpp(net) + + all_vn_kv = pd.Series([110, 20]) + assert net.bus.vn_kv.isin(all_vn_kv).all() + assert len(net.bus) == 15 + assert len(net.line) == 15 + assert len(net.gen) == 0 + assert len(net.sgen) == 0 + assert len(net.shunt) == 0 + assert len(net.trafo) == 2 + assert len(net.load) == 18 + assert len(net.ext_grid) == 1 + assert len(net.switch) == 8 + assert net.converged + + +def test_cigre_mv_pv_wind(): + net = create_cigre_network_mv(with_der="pv_wind") + runpp(net) + + all_vn_kv = pd.Series([110, 20]) + assert net.bus.vn_kv.isin(all_vn_kv).all() + assert len(net.bus) == 15 + assert len(net.line) == 15 + assert len(net.gen) == 0 + assert len(net.sgen) == 9 + assert len(net.shunt) == 0 + assert len(net.trafo) == 2 + assert len(net.load) == 18 + assert len(net.ext_grid) == 1 + assert len(net.switch) == 8 + assert net.converged + + +def test_cigre_mv_all(): + net = create_cigre_network_mv(with_der="all") + runpp(net) + + all_vn_kv = pd.Series([110, 20]) + assert net.bus.vn_kv.isin(all_vn_kv).all() + assert len(net.bus) == 15 + assert len(net.line) == 15 + assert len(net.gen) == 0 + assert len(net.sgen) == 13 + assert len(net.storage) == 2 + assert len(net.shunt) == 0 + assert len(net.trafo) == 2 + assert len(net.load) == 18 + assert len(net.ext_grid) == 1 + assert len(net.switch) == 8 + assert net.converged + + +def test_cigre_lv(): + net = create_cigre_network_lv() + runpp(net) + + all_vn_kv = pd.Series([20, 0.4]) + assert net.bus.vn_kv.isin(all_vn_kv).all() + assert len(net.bus) == 44 + assert len(net.line) == 37 + assert len(net.gen) == 0 + assert len(net.sgen) == 0 + assert len(net.shunt) == 0 + assert len(net.trafo) == 3 + assert len(net.load) == 15 + assert len(net.ext_grid) == 1 + assert len(net.switch) == 3 + assert net.converged + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/networks/test_create_example.py b/test/networks/test_create_example.py similarity index 96% rename from pandapower/test/networks/test_create_example.py rename to test/networks/test_create_example.py index ab61836abe..fcd1310681 100644 --- a/pandapower/test/networks/test_create_example.py +++ b/test/networks/test_create_example.py @@ -1,51 +1,51 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import pandas as pd -import pytest - -from pandapower.networks.create_examples import example_simple, example_multivoltage -from pandapower.run import runpp - - -def test_create_simple(): - net = example_simple() - runpp(net) - assert net.converged - for element in ["bus", "line", "gen", "sgen", "shunt", "trafo", "load", "ext_grid"]: - assert len(net[element]) >= 1 - for et in ["l", "b"]: - assert len(net.switch[net.switch.et == et]) >= 1 - - -def test_create_realistic(): - net = example_multivoltage() - runpp(net) - assert net.converged - for element in [ - "bus", - "line", - "gen", - "sgen", - "shunt", - "trafo", - "trafo3w", - "load", - "ext_grid", - "impedance", - "xward", - ]: - assert len(net[element]) >= 1 - for et in ["l", "b", "t"]: - assert len(net.switch[net.switch.et == et]) >= 1 - for type_ in ["CB", "DS", "LBS"]: - assert len(net.switch[net.switch.type == type_]) >= 1 - assert len(net.switch[net.switch.closed]) >= 1 - assert len(net.switch[~net.switch.closed]) >= 1 - all_vn_kv = pd.Series([380, 110, 20, 10, 0.4]) - assert net.bus.vn_kv.isin(all_vn_kv).all() - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import pandas as pd +import pytest + +from pandapower.networks.create_examples import example_simple, example_multivoltage +from pandapower.run import runpp + + +def test_create_simple(): + net = example_simple() + runpp(net) + assert net.converged + for element in ["bus", "line", "gen", "sgen", "shunt", "trafo", "load", "ext_grid"]: + assert len(net[element]) >= 1 + for et in ["l", "b"]: + assert len(net.switch[net.switch.et == et]) >= 1 + + +def test_create_realistic(): + net = example_multivoltage() + runpp(net) + assert net.converged + for element in [ + "bus", + "line", + "gen", + "sgen", + "shunt", + "trafo", + "trafo3w", + "load", + "ext_grid", + "impedance", + "xward", + ]: + assert len(net[element]) >= 1 + for et in ["l", "b", "t"]: + assert len(net.switch[net.switch.et == et]) >= 1 + for type_ in ["CB", "DS", "LBS"]: + assert len(net.switch[net.switch.type == type_]) >= 1 + assert len(net.switch[net.switch.closed]) >= 1 + assert len(net.switch[~net.switch.closed]) >= 1 + all_vn_kv = pd.Series([380, 110, 20, 10, 0.4]) + assert net.bus.vn_kv.isin(all_vn_kv).all() + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/networks/test_dickert_lv_networks.py b/test/networks/test_dickert_lv_networks.py similarity index 97% rename from pandapower/test/networks/test_dickert_lv_networks.py rename to test/networks/test_dickert_lv_networks.py index f67facac73..934d22347a 100644 --- a/pandapower/test/networks/test_dickert_lv_networks.py +++ b/test/networks/test_dickert_lv_networks.py @@ -1,42 +1,42 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import pytest - -from pandapower.networks.dickert_lv_networks import create_dickert_lv_network -from pandapower.run import runpp - - -@pytest.mark.parametrize( - "net_data", - [ - ("short", "cable", "single", "good", 1), - ("short", "cable", "single", "average", 1), - ("short", "cable", "single", "bad", 2), - ("short", "cable", "multiple", "good", 2 * 3), - ("short", "cable", "multiple", "average", 2 * 6), - ("short", "cable", "multiple", "bad", 2 * 10), - ("middle", "cable", "multiple", "good", 3 * 15), - ("middle", "cable", "multiple", "average", 3 * 20), - ("middle", "cable", "multiple", "bad", 3 * 25), - ("middle", "C&OHL", "multiple", "good", 3 * 10), - ("middle", "C&OHL", "multiple", "average", 3 * 13), - ("middle", "C&OHL", "multiple", "bad", 3 * 16), - ("long", "cable", "multiple", "good", 3 * 30), - ("long", "cable", "multiple", "average", 3 * 40), - ("long", "cable", "multiple", "bad", 3 * 50), - ("long", "C&OHL", "multiple", "good", 3 * 20), - ("long", "C&OHL", "multiple", "average", 3 * 30), - ("long", "C&OHL", "multiple", "bad", 3 * 40), - ], -) -def test_dickert_lv_networks(net_data): - net = create_dickert_lv_network(net_data[0], net_data[1], net_data[2], net_data[3]) - assert net.bus.shape[0] == net_data[4] + 2 - runpp(net) - assert net.converged - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import pytest + +from pandapower.networks.dickert_lv_networks import create_dickert_lv_network +from pandapower.run import runpp + + +@pytest.mark.parametrize( + "net_data", + [ + ("short", "cable", "single", "good", 1), + ("short", "cable", "single", "average", 1), + ("short", "cable", "single", "bad", 2), + ("short", "cable", "multiple", "good", 2 * 3), + ("short", "cable", "multiple", "average", 2 * 6), + ("short", "cable", "multiple", "bad", 2 * 10), + ("middle", "cable", "multiple", "good", 3 * 15), + ("middle", "cable", "multiple", "average", 3 * 20), + ("middle", "cable", "multiple", "bad", 3 * 25), + ("middle", "C&OHL", "multiple", "good", 3 * 10), + ("middle", "C&OHL", "multiple", "average", 3 * 13), + ("middle", "C&OHL", "multiple", "bad", 3 * 16), + ("long", "cable", "multiple", "good", 3 * 30), + ("long", "cable", "multiple", "average", 3 * 40), + ("long", "cable", "multiple", "bad", 3 * 50), + ("long", "C&OHL", "multiple", "good", 3 * 20), + ("long", "C&OHL", "multiple", "average", 3 * 30), + ("long", "C&OHL", "multiple", "bad", 3 * 40), + ], +) +def test_dickert_lv_networks(net_data): + net = create_dickert_lv_network(net_data[0], net_data[1], net_data[2], net_data[3]) + assert net.bus.shape[0] == net_data[4] + 2 + runpp(net) + assert net.converged + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/networks/test_kerber_extreme_networks.py b/test/networks/test_kerber_extreme_networks.py similarity index 97% rename from pandapower/test/networks/test_kerber_extreme_networks.py rename to test/networks/test_kerber_extreme_networks.py index e4cfce9271..5eb6f0c474 100644 --- a/pandapower/test/networks/test_kerber_extreme_networks.py +++ b/test/networks/test_kerber_extreme_networks.py @@ -1,132 +1,132 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import pytest - -from pandapower.networks.kerber_extreme_networks import * -from pandapower.run import runpp - - -def test_kb_extrem_landnetz_freileitung(): - pd_net = kb_extrem_landnetz_freileitung(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 0.312) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.052) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.026) < 0.00000001 - assert len(pd_net.bus.index) == 28 - assert len(pd_net.line.index) == 26 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -def test_kb_extrem_landnetz_kabel(): - pd_net = kb_extrem_landnetz_kabel(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 1.339) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.052) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.026) < 0.00000001 - assert len(pd_net.bus.index) == 54 - assert len(pd_net.line.index) == 52 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -def test_kb_extrem_landnetz_freileitung_trafo(): - pd_net = kb_extrem_landnetz_freileitung_trafo(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 0.348) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.054) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.027) < 0.00000001 - assert len(pd_net.bus.index) == 29 - assert len(pd_net.line.index) == 27 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -def test_kb_extrem_landnetz_kabel_trafo(): - pd_net = kb_extrem_landnetz_kabel_trafo(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 1.435) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.054) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.027) < 0.00000001 - assert len(pd_net.bus.index) == 56 - assert len(pd_net.line.index) == 54 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -def test_kb_extrem_dorfnetz(): - pd_net = kb_extrem_dorfnetz(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 3.088) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.116) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.058) < 0.00000001 - assert len(pd_net.bus.index) == 118 - assert len(pd_net.line.index) == 116 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -def test_kb_extrem_dorfnetz_trafo(): - pd_net = kb_extrem_dorfnetz_trafo(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 6.094) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.234) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.117) < 0.00000001 - assert len(pd_net.bus.index) == 236 - assert len(pd_net.line.index) == 234 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -def test_kb_extrem_vorstadtnetz_1(): - pd_net = kb_extrem_vorstadtnetz_1(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 3.296) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.290) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.145) < 0.00000001 - assert len(pd_net.bus.index) == 292 - assert len(pd_net.line.index) == 290 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -def test_kb_extrem_vorstadtnetz_2(): - pd_net = kb_extrem_vorstadtnetz_2(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 4.019) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.290) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.145) < 0.00000001 - assert len(pd_net.bus.index) == 292 - assert len(pd_net.line.index) == 290 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -def test_kb_extrem_vorstadtnetz_trafo_1(): - pd_net = kb_extrem_vorstadtnetz_trafo_1(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 5.256) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.382) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.191) < 0.00000001 - assert len(pd_net.bus.index) == 384 - assert len(pd_net.line.index) == 382 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -def test_kb_extrem_vorstadtnetz_trafo_2(): - pd_net = kb_extrem_vorstadtnetz_trafo_2(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 5.329) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.384) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.192) < 0.00000001 - assert len(pd_net.bus.index) == 386 - assert len(pd_net.line.index) == 384 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import pytest + +from pandapower.networks.kerber_extreme_networks import * +from pandapower.run import runpp + + +def test_kb_extrem_landnetz_freileitung(): + pd_net = kb_extrem_landnetz_freileitung(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 0.312) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.052) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.026) < 0.00000001 + assert len(pd_net.bus.index) == 28 + assert len(pd_net.line.index) == 26 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +def test_kb_extrem_landnetz_kabel(): + pd_net = kb_extrem_landnetz_kabel(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 1.339) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.052) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.026) < 0.00000001 + assert len(pd_net.bus.index) == 54 + assert len(pd_net.line.index) == 52 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +def test_kb_extrem_landnetz_freileitung_trafo(): + pd_net = kb_extrem_landnetz_freileitung_trafo(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 0.348) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.054) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.027) < 0.00000001 + assert len(pd_net.bus.index) == 29 + assert len(pd_net.line.index) == 27 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +def test_kb_extrem_landnetz_kabel_trafo(): + pd_net = kb_extrem_landnetz_kabel_trafo(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 1.435) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.054) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.027) < 0.00000001 + assert len(pd_net.bus.index) == 56 + assert len(pd_net.line.index) == 54 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +def test_kb_extrem_dorfnetz(): + pd_net = kb_extrem_dorfnetz(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 3.088) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.116) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.058) < 0.00000001 + assert len(pd_net.bus.index) == 118 + assert len(pd_net.line.index) == 116 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +def test_kb_extrem_dorfnetz_trafo(): + pd_net = kb_extrem_dorfnetz_trafo(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 6.094) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.234) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.117) < 0.00000001 + assert len(pd_net.bus.index) == 236 + assert len(pd_net.line.index) == 234 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +def test_kb_extrem_vorstadtnetz_1(): + pd_net = kb_extrem_vorstadtnetz_1(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 3.296) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.290) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.145) < 0.00000001 + assert len(pd_net.bus.index) == 292 + assert len(pd_net.line.index) == 290 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +def test_kb_extrem_vorstadtnetz_2(): + pd_net = kb_extrem_vorstadtnetz_2(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 4.019) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.290) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.145) < 0.00000001 + assert len(pd_net.bus.index) == 292 + assert len(pd_net.line.index) == 290 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +def test_kb_extrem_vorstadtnetz_trafo_1(): + pd_net = kb_extrem_vorstadtnetz_trafo_1(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 5.256) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.382) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.191) < 0.00000001 + assert len(pd_net.bus.index) == 384 + assert len(pd_net.line.index) == 382 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +def test_kb_extrem_vorstadtnetz_trafo_2(): + pd_net = kb_extrem_vorstadtnetz_trafo_2(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 5.329) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.384) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.192) < 0.00000001 + assert len(pd_net.bus.index) == 386 + assert len(pd_net.line.index) == 384 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/networks/test_kerber_networks.py b/test/networks/test_kerber_networks.py similarity index 97% rename from pandapower/test/networks/test_kerber_networks.py rename to test/networks/test_kerber_networks.py index 91c09acfff..1d2a86ab22 100644 --- a/pandapower/test/networks/test_kerber_networks.py +++ b/test/networks/test_kerber_networks.py @@ -1,182 +1,182 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import random as rd - -import pytest - -from pandapower.create import create_bus -from pandapower.network import pandapowerNet -from pandapower.networks.kerber_networks import ( - _create_empty_network_with_transformer, - _add_lines_and_loads, - _add_lines_with_branched_loads, - create_kerber_landnetz_freileitung_1, - create_kerber_landnetz_freileitung_2, - create_kerber_dorfnetz, - create_kerber_landnetz_kabel_1, - create_kerber_vorstadtnetz_kabel_2, - create_kerber_vorstadtnetz_kabel_1, - create_kerber_landnetz_kabel_2, -) -from pandapower.run import runpp - - -def test_create_empty_network_with_transformer(): - # BUILD: - trafotype = "0.16 MVA 10/0.4 kV" # example trafo type - v_os = 10 - v_us = 0.4 - # OPERATE: - net = _create_empty_network_with_transformer(trafotype, V_OS=v_os, V_US=v_us)[0] - # CHECK: - assert len(net.bus.index) == 2 - assert len(net.trafo.index) == 1 - assert len(net.ext_grid.index) == 1 - assert net.bus.loc[0, "vn_kv"] == v_os - assert net.bus.loc[1, "vn_kv"] == v_us - - -def test_add_lines_and_loads(): - # BUILD: - pd_net = pandapowerNet(name="test_add_lines_and_loads") - busnr1 = create_bus(pd_net, name="startbus", vn_kv=0.4) - n_lines_add = int(10.0 * rd.random() + 1) - l_per_line = 0.10 * rd.random() - # OPERATE: - _add_lines_and_loads( - pd_net, - n_lines=n_lines_add, - startbusnr=busnr1, - length_per_line=l_per_line, - p_load_mw=2, - q_load_mvar=1, - branchnr=2, - ) - - assert len(pd_net.bus.index) == n_lines_add + 1 - assert len(pd_net.line.index) == n_lines_add - assert len(pd_net.load.index) == n_lines_add - assert abs(pd_net.line.length_km.sum() - n_lines_add * l_per_line) < 0.0000001 - - -def test_add_lines_with_branched_loads(): - # BUILD: - pd_net = pandapowerNet(name="test_add_lines_with_branched_loads") - busnr1 = create_bus(pd_net, name="startbus", vn_kv=0.4) - n_lines_add = int(10.0 * rd.random() + 1) - l_per_line = 0.10 * rd.random() - l_branchout_line = 0.022 - # OPERATE: - _add_lines_with_branched_loads( - pd_net, - n_lines_add, - startbus=busnr1, - length_per_line=l_per_line, - p_load_mw=2.0, - q_load_mvar=0, - length_branchout_line_1=l_branchout_line, - prob_branchout_line_1=0.5, - branchnr=1, - ) - - assert len(pd_net.bus.index) == 2 * n_lines_add + 1 - assert len(pd_net.line.index) == 2 * n_lines_add - assert len(pd_net.load.index) == n_lines_add - assert abs(pd_net.line.length_km.sum() - n_lines_add * (l_per_line + l_branchout_line)) < 0.0000001 - - -@pytest.mark.slow -def test_kerber_landnetz_freileitung_1(): - pd_net = create_kerber_landnetz_freileitung_1(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 0.273) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.026) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.013) < 0.00000001 - assert len(pd_net.bus.index) == 15 - assert len(pd_net.line.index) == 13 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -@pytest.mark.slow -def test_kerber_landnetz_freileitung_2(): - pd_net = create_kerber_landnetz_freileitung_2(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 0.390) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.016) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.008) < 0.00000001 - assert len(pd_net.bus.index) == 10 - assert len(pd_net.line.index) == 8 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -@pytest.mark.slow -def test_create_kerber_landnetz_kabel_1(): - pd_net = create_kerber_landnetz_kabel_1(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 1.046) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.016) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.008) < 0.00000001 - assert len(pd_net.bus.index) == 18 - assert len(pd_net.line.index) == 16 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -@pytest.mark.slow -def test_create_kerber_landnetz_kabel_2(): - pd_net = create_kerber_landnetz_kabel_2(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 1.343) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.028) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.014) < 0.00000001 - assert len(pd_net.bus.index) == 30 - assert len(pd_net.line.index) == 28 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -@pytest.mark.slow -def test_create_kerber_dorfnetz(): - pd_net = create_kerber_dorfnetz(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 3.412) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.114) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.057) < 0.00000001 - assert len(pd_net.bus.index) == 116 - assert len(pd_net.line.index) == 114 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -@pytest.mark.slow -def test_create_kerber_vorstadtnetz_kabel_1(): - pd_net = create_kerber_vorstadtnetz_kabel_1(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 4.476) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.292) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.146) < 0.00000001 - assert len(pd_net.bus.index) == 294 - assert len(pd_net.line.index) == 292 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -@pytest.mark.slow -def test_create_kerber_vorstadtnetz_kabel_2(): - pd_net = create_kerber_vorstadtnetz_kabel_2(p_load_mw=0.002, q_load_mvar=0.001) - assert abs(pd_net.line.length_km.sum() - 4.689) < 0.00000001 - assert abs(pd_net.load.p_mw.sum() - 0.288) < 0.00000001 - assert abs(pd_net.load.q_mvar.sum() - 0.144) < 0.00000001 - assert len(pd_net.bus.index) == 290 - assert len(pd_net.line.index) == 288 - assert len(pd_net.trafo.index) == 1 - runpp(pd_net) - assert pd_net.converged - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import random as rd + +import pytest + +from pandapower.create import create_bus +from pandapower.network import pandapowerNet +from pandapower.networks.kerber_networks import ( + _create_empty_network_with_transformer, + _add_lines_and_loads, + _add_lines_with_branched_loads, + create_kerber_landnetz_freileitung_1, + create_kerber_landnetz_freileitung_2, + create_kerber_dorfnetz, + create_kerber_landnetz_kabel_1, + create_kerber_vorstadtnetz_kabel_2, + create_kerber_vorstadtnetz_kabel_1, + create_kerber_landnetz_kabel_2, +) +from pandapower.run import runpp + + +def test_create_empty_network_with_transformer(): + # BUILD: + trafotype = "0.16 MVA 10/0.4 kV" # example trafo type + v_os = 10 + v_us = 0.4 + # OPERATE: + net = _create_empty_network_with_transformer(trafotype, V_OS=v_os, V_US=v_us)[0] + # CHECK: + assert len(net.bus.index) == 2 + assert len(net.trafo.index) == 1 + assert len(net.ext_grid.index) == 1 + assert net.bus.loc[0, "vn_kv"] == v_os + assert net.bus.loc[1, "vn_kv"] == v_us + + +def test_add_lines_and_loads(): + # BUILD: + pd_net = pandapowerNet(name="test_add_lines_and_loads") + busnr1 = create_bus(pd_net, name="startbus", vn_kv=0.4) + n_lines_add = int(10.0 * rd.random() + 1) + l_per_line = 0.10 * rd.random() + # OPERATE: + _add_lines_and_loads( + pd_net, + n_lines=n_lines_add, + startbusnr=busnr1, + length_per_line=l_per_line, + p_load_mw=2, + q_load_mvar=1, + branchnr=2, + ) + + assert len(pd_net.bus.index) == n_lines_add + 1 + assert len(pd_net.line.index) == n_lines_add + assert len(pd_net.load.index) == n_lines_add + assert abs(pd_net.line.length_km.sum() - n_lines_add * l_per_line) < 0.0000001 + + +def test_add_lines_with_branched_loads(): + # BUILD: + pd_net = pandapowerNet(name="test_add_lines_with_branched_loads") + busnr1 = create_bus(pd_net, name="startbus", vn_kv=0.4) + n_lines_add = int(10.0 * rd.random() + 1) + l_per_line = 0.10 * rd.random() + l_branchout_line = 0.022 + # OPERATE: + _add_lines_with_branched_loads( + pd_net, + n_lines_add, + startbus=busnr1, + length_per_line=l_per_line, + p_load_mw=2.0, + q_load_mvar=0, + length_branchout_line_1=l_branchout_line, + prob_branchout_line_1=0.5, + branchnr=1, + ) + + assert len(pd_net.bus.index) == 2 * n_lines_add + 1 + assert len(pd_net.line.index) == 2 * n_lines_add + assert len(pd_net.load.index) == n_lines_add + assert abs(pd_net.line.length_km.sum() - n_lines_add * (l_per_line + l_branchout_line)) < 0.0000001 + + +@pytest.mark.slow +def test_kerber_landnetz_freileitung_1(): + pd_net = create_kerber_landnetz_freileitung_1(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 0.273) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.026) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.013) < 0.00000001 + assert len(pd_net.bus.index) == 15 + assert len(pd_net.line.index) == 13 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +@pytest.mark.slow +def test_kerber_landnetz_freileitung_2(): + pd_net = create_kerber_landnetz_freileitung_2(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 0.390) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.016) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.008) < 0.00000001 + assert len(pd_net.bus.index) == 10 + assert len(pd_net.line.index) == 8 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +@pytest.mark.slow +def test_create_kerber_landnetz_kabel_1(): + pd_net = create_kerber_landnetz_kabel_1(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 1.046) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.016) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.008) < 0.00000001 + assert len(pd_net.bus.index) == 18 + assert len(pd_net.line.index) == 16 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +@pytest.mark.slow +def test_create_kerber_landnetz_kabel_2(): + pd_net = create_kerber_landnetz_kabel_2(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 1.343) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.028) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.014) < 0.00000001 + assert len(pd_net.bus.index) == 30 + assert len(pd_net.line.index) == 28 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +@pytest.mark.slow +def test_create_kerber_dorfnetz(): + pd_net = create_kerber_dorfnetz(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 3.412) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.114) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.057) < 0.00000001 + assert len(pd_net.bus.index) == 116 + assert len(pd_net.line.index) == 114 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +@pytest.mark.slow +def test_create_kerber_vorstadtnetz_kabel_1(): + pd_net = create_kerber_vorstadtnetz_kabel_1(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 4.476) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.292) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.146) < 0.00000001 + assert len(pd_net.bus.index) == 294 + assert len(pd_net.line.index) == 292 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +@pytest.mark.slow +def test_create_kerber_vorstadtnetz_kabel_2(): + pd_net = create_kerber_vorstadtnetz_kabel_2(p_load_mw=0.002, q_load_mvar=0.001) + assert abs(pd_net.line.length_km.sum() - 4.689) < 0.00000001 + assert abs(pd_net.load.p_mw.sum() - 0.288) < 0.00000001 + assert abs(pd_net.load.q_mvar.sum() - 0.144) < 0.00000001 + assert len(pd_net.bus.index) == 290 + assert len(pd_net.line.index) == 288 + assert len(pd_net.trafo.index) == 1 + runpp(pd_net) + assert pd_net.converged + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/networks/test_lv_schutterwald.py b/test/networks/test_lv_schutterwald.py similarity index 100% rename from pandapower/test/networks/test_lv_schutterwald.py rename to test/networks/test_lv_schutterwald.py diff --git a/pandapower/test/networks/test_mv_oberrhein.py b/test/networks/test_mv_oberrhein.py similarity index 97% rename from pandapower/test/networks/test_mv_oberrhein.py rename to test/networks/test_mv_oberrhein.py index acc0318b6f..111f6f6d8a 100644 --- a/pandapower/test/networks/test_mv_oberrhein.py +++ b/test/networks/test_mv_oberrhein.py @@ -1,47 +1,47 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import pytest - -from pandapower.networks.mv_oberrhein import mv_oberrhein -from pandapower.run import runpp - - -@pytest.mark.parametrize("scenarios", ["load", "generation"]) -@pytest.mark.parametrize("include_substations", [False, True]) -@pytest.mark.parametrize("separation_by_sub", [False, True]) -def test_mv_oberrhein(scenarios, include_substations, separation_by_sub): - net = mv_oberrhein(scenario=scenarios, include_substations=include_substations) - runpp(net) - - if scenarios == "load": - assert net.sgen.scaling.mean() < 0.2 - assert net.load.scaling.mean() > 0.5 - elif scenarios == "generation": - assert net.sgen.scaling.mean() > 0.6 - assert net.load.scaling.mean() < 0.2 - - if include_substations: - assert len(net.bus) == 320 - assert len(net.trafo) == 143 - else: - assert len(net.bus) == 179 - assert len(net.trafo) == 2 - - assert len(net.line) == 181 - assert len(net.switch) == 322 - assert net.converged - - if separation_by_sub: - net0, net1 = mv_oberrhein( - scenario=scenarios, include_substations=include_substations, separation_by_sub=separation_by_sub - ) - assert len(net1.keys()) == len(net0.keys()) == len(net.keys()) - assert net1.res_ext_grid.loc[1].all() == net.res_ext_grid.loc[1].all() - assert net0.res_ext_grid.loc[0].all() == net.res_ext_grid.loc[0].all() - assert len(net.bus) == len(net0.bus) + len(net1.bus) - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import pytest + +from pandapower.networks.mv_oberrhein import mv_oberrhein +from pandapower.run import runpp + + +@pytest.mark.parametrize("scenarios", ["load", "generation"]) +@pytest.mark.parametrize("include_substations", [False, True]) +@pytest.mark.parametrize("separation_by_sub", [False, True]) +def test_mv_oberrhein(scenarios, include_substations, separation_by_sub): + net = mv_oberrhein(scenario=scenarios, include_substations=include_substations) + runpp(net) + + if scenarios == "load": + assert net.sgen.scaling.mean() < 0.2 + assert net.load.scaling.mean() > 0.5 + elif scenarios == "generation": + assert net.sgen.scaling.mean() > 0.6 + assert net.load.scaling.mean() < 0.2 + + if include_substations: + assert len(net.bus) == 320 + assert len(net.trafo) == 143 + else: + assert len(net.bus) == 179 + assert len(net.trafo) == 2 + + assert len(net.line) == 181 + assert len(net.switch) == 322 + assert net.converged + + if separation_by_sub: + net0, net1 = mv_oberrhein( + scenario=scenarios, include_substations=include_substations, separation_by_sub=separation_by_sub + ) + assert len(net1.keys()) == len(net0.keys()) == len(net.keys()) + assert net1.res_ext_grid.loc[1].all() == net.res_ext_grid.loc[1].all() + assert net0.res_ext_grid.loc[0].all() == net.res_ext_grid.loc[0].all() + assert len(net.bus) == len(net0.bus) + len(net1.bus) + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/networks/test_power_system_test_cases.py b/test/networks/test_power_system_test_cases.py similarity index 95% rename from pandapower/test/networks/test_power_system_test_cases.py rename to test/networks/test_power_system_test_cases.py index 6764a62aa4..546fb52a92 100644 --- a/pandapower/test/networks/test_power_system_test_cases.py +++ b/test/networks/test_power_system_test_cases.py @@ -1,309 +1,309 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import pytest - -from pandapower.networks.power_system_test_cases import ( - case4gs, - case5, - case6ww, - case9, - case14, - case24_ieee_rts, - case30, - case_ieee30, - case33bw, - case39, - case57, - case89pegase, - case118, - case145, - case_illinois200, - case300, - case1354pegase, - case1888rte, - case2848rte, - case2869pegase, - case3120sp, - case6470rte, - case6495rte, - case6515rte, - case9241pegase, - GBnetwork, - GBreducednetwork, - iceland, -) # missing test for case11_iwamoto -from pandapower.run import runpp -import numpy as np - - -def _compare_arrays(arr1, arr2, tolerance=0.1): - if len(arr1) != len(arr2): - raise ValueError("Arrays must have the same shape.") - - # Calculate the absolute difference - diff = np.abs(arr1 - arr2) - - # Find positions where the difference exceeds the tolerance - indices = np.nonzero(diff > tolerance)[0] - - # Return the positions of differences that are too large - # indices contains the row indices for 1D arrays - return len(indices) == 0, indices - - -def compare_arrays(arr1, arr2, atol=0.1): - is_equal, where = _compare_arrays(arr1, arr2, atol) - if not is_equal: - name = "" - if "name" in dir(arr1): - name = arr1.name - raise ValueError(f"In {name}, the following elements are not equal: {where}") - - -def _ppc_element_test(net, n_bus=None, n_branch=None, n_gen=None, gencost=False): - runpp(net, trafo_model="pi") - if n_bus: - assert len(net.bus) == n_bus - if n_branch: - assert len(net.line) + len(net.trafo) == n_branch - if n_gen: - assert len(net.ext_grid) + len(net.gen) + len(net.sgen) == n_gen - if gencost: - if isinstance(gencost, bool): - assert net.poly_cost.shape[0] == n_gen - else: - assert net.poly_cost.shape[0] == gencost - assert net.converged - - -def test_case4gs(): - net = case4gs() - runpp(net) - assert net.converged - _ppc_element_test(net, 4, 4, 2, False) - - -def test_case5(): - net = case5() - runpp(net) - assert net.converged - - # the following values are calculated using powerfactory, - # the network was recreated by hand and all the values were transferred. - # Tolerances were set so that pp does not fail. - compare_arrays(net.res_bus.vm_pu, [1.00, 0.99, 1.00, 1.00, 1.00], atol=0.02) - compare_arrays(net.res_bus.va_degree, [3.275, -0.758, -0.492, 0.000, 4.113], atol=0.002) - - compare_arrays(net.res_line.p_from_mw, [249.81, 186.40, -226.21, -51.96, -28.59, -238.26], atol=0.2) - compare_arrays(net.res_line.p_to_mw, [-248.04, -185.28, 226.54, 52.08, 28.62, 239.97], atol=0.2) - compare_arrays(net.res_line.i_ka, [0.630, 0.469, 0.571, 0.268, 0.072, 0.604], atol=0.1) - compare_arrays(net.res_line.q_from_mvar, [21.6, -14.6, 22.7, -94.0, 2.6, 32.16], atol=1.1) - compare_arrays(net.res_line.q_to_mvar, [-4.6, 24.6, -22.5, 93.4, -3.1, -15.7], atol=1.1) - - compare_arrays(net.res_gen.p_mw, [40.0, 323.5, 466.5], atol=0.1) - compare_arrays(net.res_gen.q_mvar, [29.7, 194.7, -38.2], atol=1.1) - - _ppc_element_test(net, 5, 6, 5, False) - - -def test_case6ww(): - net = case6ww() - runpp(net) - assert net.converged - _ppc_element_test(net, 6, 11, 3, True) - - -def test_case9(): - net = case9() - runpp(net) - assert net.converged - _ppc_element_test(net, 9, 9, 3, True) - - -def test_case14(): - net = case14() - runpp(net) - assert net.converged - _ppc_element_test(net, 14, 20, 5, True) - - -def test_case24_ieee_rts(): - net = case24_ieee_rts() - runpp(net) - assert net.converged - _ppc_element_test(net, 24) - - -def test_case30(): - net = case30() - runpp(net) - assert net.converged - _ppc_element_test(net, 30, 41, 6, True) - - -def test_case_ieee30(): - net = case_ieee30() - runpp(net) - assert net.converged - _ppc_element_test(net, 30, 41, 6, False) - - -def test_case33bw(): - net = case33bw() - runpp(net, trafo_mode="pi") - assert net.converged - _ppc_element_test(net, 33, 37, 1, True) - - -def test_case39(): - net = case39() - runpp(net) - assert net.converged - _ppc_element_test(net, 39, 46, 10, True) - - -def test_case57(): - net = case57() - runpp(net) - assert net.converged - _ppc_element_test(net, 57, 80, 7, True) - - -def test_case89pegase(): - net = case89pegase() - runpp(net) - assert net.converged - _ppc_element_test(net, 89, 210, 12 + 6, 12) - - -def test_case118(): - net = case118() - runpp(net) - assert net.converged - _ppc_element_test(net, 118, 186, 54, True) - - -def test_case145(): - net = case145() - runpp(net) - assert net.converged - _ppc_element_test(net, 145, 453, 50 + 9, 50) - - -def test_case_illinois200(): - net = case_illinois200() - runpp(net) - assert net.converged - _ppc_element_test(net, 200, 245, 49, False) - - -def test_case300(): - net = case300() - runpp(net) - assert net.converged - _ppc_element_test(net, 300, 411, 69 + 8, 69) - - -def test_case1354pegase(): - net = case1354pegase() - runpp(net) - assert net.converged - _ppc_element_test(net, 1354, 1991, 260 + 52, 260) - - -def test_case1888rte(): - net = case1888rte() - runpp(net) - assert net.converged - _ppc_element_test(net, 1888, 2531, 354, 297) - - -def test_case1888rte_changed_slack(): - ref_bus_idx = 1233 - net = case1888rte(ref_bus_idx=ref_bus_idx) - runpp(net) - assert net.converged - _ppc_element_test(net, 1888, 2531, 354, 297) - assert net.ext_grid.bus.at[0] == ref_bus_idx - - ref_bus_idx = [1233, 1854] - net = case1888rte(ref_bus_idx=ref_bus_idx) - runpp(net, trafo_model="pi") - assert list(net.ext_grid.bus.sort_values()) == ref_bus_idx - assert net.converged - - -def test_case2848rte(): - net = case2848rte() - runpp(net) - assert net.converged - _ppc_element_test(net, 2848, 3776, 670, 547) - - -def test_case2869pegase(): - net = case2869pegase() - runpp(net) - assert net.converged - _ppc_element_test(net, 2869, 4582, 690, 510) - - -def test_case3120sp(): - net = case3120sp() - runpp(net) - assert net.converged - _ppc_element_test(net, 3120, 3693, 505, True) - - -def test_case6470rte(): - net = case6470rte() - runpp(net) - assert net.converged - _ppc_element_test(net, 6470, 9005, 1578, 1330) - - -def test_case6495rte(): - net = case6495rte() - runpp(net) - assert net.converged - _ppc_element_test(net, 6495, 9019, 1650, 1372) - - -def test_case6515rte(): - net = case6515rte() - runpp(net) - assert net.converged - _ppc_element_test(net, 6515, 9037, 1651, 1388) - - -def test_case9241pegase(): - net = case9241pegase() - runpp(net) - assert net.converged - _ppc_element_test(net, 9241, 16049, 1879, 1445) - - -def test_GBreducednetwork(): - net = GBreducednetwork() - runpp(net) - assert net.converged - _ppc_element_test(net, 29, 99, 66, True) - - -def test_GBnetwork(): - net = GBnetwork() - runpp(net) - assert net.converged - _ppc_element_test(net, 2224, 3207, 394 + 37, 394) - - -def test_iceland(): - net = iceland() - runpp(net) - assert net.converged - _ppc_element_test(net, 189, 206, 35, True) - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import pytest + +from pandapower.networks.power_system_test_cases import ( + case4gs, + case5, + case6ww, + case9, + case14, + case24_ieee_rts, + case30, + case_ieee30, + case33bw, + case39, + case57, + case89pegase, + case118, + case145, + case_illinois200, + case300, + case1354pegase, + case1888rte, + case2848rte, + case2869pegase, + case3120sp, + case6470rte, + case6495rte, + case6515rte, + case9241pegase, + GBnetwork, + GBreducednetwork, + iceland, +) # missing test for case11_iwamoto +from pandapower.run import runpp +import numpy as np + + +def _compare_arrays(arr1, arr2, tolerance=0.1): + if len(arr1) != len(arr2): + raise ValueError("Arrays must have the same shape.") + + # Calculate the absolute difference + diff = np.abs(arr1 - arr2) + + # Find positions where the difference exceeds the tolerance + indices = np.nonzero(diff > tolerance)[0] + + # Return the positions of differences that are too large + # indices contains the row indices for 1D arrays + return len(indices) == 0, indices + + +def compare_arrays(arr1, arr2, atol=0.1): + is_equal, where = _compare_arrays(arr1, arr2, atol) + if not is_equal: + name = "" + if "name" in dir(arr1): + name = arr1.name + raise ValueError(f"In {name}, the following elements are not equal: {where}") + + +def _ppc_element_test(net, n_bus=None, n_branch=None, n_gen=None, gencost=False): + runpp(net, trafo_model="pi") + if n_bus: + assert len(net.bus) == n_bus + if n_branch: + assert len(net.line) + len(net.trafo) == n_branch + if n_gen: + assert len(net.ext_grid) + len(net.gen) + len(net.sgen) == n_gen + if gencost: + if isinstance(gencost, bool): + assert net.poly_cost.shape[0] == n_gen + else: + assert net.poly_cost.shape[0] == gencost + assert net.converged + + +def test_case4gs(): + net = case4gs() + runpp(net) + assert net.converged + _ppc_element_test(net, 4, 4, 2, False) + + +def test_case5(): + net = case5() + runpp(net) + assert net.converged + + # the following values are calculated using powerfactory, + # the network was recreated by hand and all the values were transferred. + # Tolerances were set so that pp does not fail. + compare_arrays(net.res_bus.vm_pu, [1.00, 0.99, 1.00, 1.00, 1.00], atol=0.02) + compare_arrays(net.res_bus.va_degree, [3.275, -0.758, -0.492, 0.000, 4.113], atol=0.002) + + compare_arrays(net.res_line.p_from_mw, [249.81, 186.40, -226.21, -51.96, -28.59, -238.26], atol=0.2) + compare_arrays(net.res_line.p_to_mw, [-248.04, -185.28, 226.54, 52.08, 28.62, 239.97], atol=0.2) + compare_arrays(net.res_line.i_ka, [0.630, 0.469, 0.571, 0.268, 0.072, 0.604], atol=0.1) + compare_arrays(net.res_line.q_from_mvar, [21.6, -14.6, 22.7, -94.0, 2.6, 32.16], atol=1.1) + compare_arrays(net.res_line.q_to_mvar, [-4.6, 24.6, -22.5, 93.4, -3.1, -15.7], atol=1.1) + + compare_arrays(net.res_gen.p_mw, [40.0, 323.5, 466.5], atol=0.1) + compare_arrays(net.res_gen.q_mvar, [29.7, 194.7, -38.2], atol=1.1) + + _ppc_element_test(net, 5, 6, 5, False) + + +def test_case6ww(): + net = case6ww() + runpp(net) + assert net.converged + _ppc_element_test(net, 6, 11, 3, True) + + +def test_case9(): + net = case9() + runpp(net) + assert net.converged + _ppc_element_test(net, 9, 9, 3, True) + + +def test_case14(): + net = case14() + runpp(net) + assert net.converged + _ppc_element_test(net, 14, 20, 5, True) + + +def test_case24_ieee_rts(): + net = case24_ieee_rts() + runpp(net) + assert net.converged + _ppc_element_test(net, 24) + + +def test_case30(): + net = case30() + runpp(net) + assert net.converged + _ppc_element_test(net, 30, 41, 6, True) + + +def test_case_ieee30(): + net = case_ieee30() + runpp(net) + assert net.converged + _ppc_element_test(net, 30, 41, 6, False) + + +def test_case33bw(): + net = case33bw() + runpp(net, trafo_mode="pi") + assert net.converged + _ppc_element_test(net, 33, 37, 1, True) + + +def test_case39(): + net = case39() + runpp(net) + assert net.converged + _ppc_element_test(net, 39, 46, 10, True) + + +def test_case57(): + net = case57() + runpp(net) + assert net.converged + _ppc_element_test(net, 57, 80, 7, True) + + +def test_case89pegase(): + net = case89pegase() + runpp(net) + assert net.converged + _ppc_element_test(net, 89, 210, 12 + 6, 12) + + +def test_case118(): + net = case118() + runpp(net) + assert net.converged + _ppc_element_test(net, 118, 186, 54, True) + + +def test_case145(): + net = case145() + runpp(net) + assert net.converged + _ppc_element_test(net, 145, 453, 50 + 9, 50) + + +def test_case_illinois200(): + net = case_illinois200() + runpp(net) + assert net.converged + _ppc_element_test(net, 200, 245, 49, False) + + +def test_case300(): + net = case300() + runpp(net) + assert net.converged + _ppc_element_test(net, 300, 411, 69 + 8, 69) + + +def test_case1354pegase(): + net = case1354pegase() + runpp(net) + assert net.converged + _ppc_element_test(net, 1354, 1991, 260 + 52, 260) + + +def test_case1888rte(): + net = case1888rte() + runpp(net) + assert net.converged + _ppc_element_test(net, 1888, 2531, 354, 297) + + +def test_case1888rte_changed_slack(): + ref_bus_idx = 1233 + net = case1888rte(ref_bus_idx=ref_bus_idx) + runpp(net) + assert net.converged + _ppc_element_test(net, 1888, 2531, 354, 297) + assert net.ext_grid.bus.at[0] == ref_bus_idx + + ref_bus_idx = [1233, 1854] + net = case1888rte(ref_bus_idx=ref_bus_idx) + runpp(net, trafo_model="pi") + assert list(net.ext_grid.bus.sort_values()) == ref_bus_idx + assert net.converged + + +def test_case2848rte(): + net = case2848rte() + runpp(net) + assert net.converged + _ppc_element_test(net, 2848, 3776, 670, 547) + + +def test_case2869pegase(): + net = case2869pegase() + runpp(net) + assert net.converged + _ppc_element_test(net, 2869, 4582, 690, 510) + + +def test_case3120sp(): + net = case3120sp() + runpp(net) + assert net.converged + _ppc_element_test(net, 3120, 3693, 505, True) + + +def test_case6470rte(): + net = case6470rte() + runpp(net) + assert net.converged + _ppc_element_test(net, 6470, 9005, 1578, 1330) + + +def test_case6495rte(): + net = case6495rte() + runpp(net) + assert net.converged + _ppc_element_test(net, 6495, 9019, 1650, 1372) + + +def test_case6515rte(): + net = case6515rte() + runpp(net) + assert net.converged + _ppc_element_test(net, 6515, 9037, 1651, 1388) + + +def test_case9241pegase(): + net = case9241pegase() + runpp(net) + assert net.converged + _ppc_element_test(net, 9241, 16049, 1879, 1445) + + +def test_GBreducednetwork(): + net = GBreducednetwork() + runpp(net) + assert net.converged + _ppc_element_test(net, 29, 99, 66, True) + + +def test_GBnetwork(): + net = GBnetwork() + runpp(net) + assert net.converged + _ppc_element_test(net, 2224, 3207, 394 + 37, 394) + + +def test_iceland(): + net = iceland() + runpp(net) + assert net.converged + _ppc_element_test(net, 189, 206, 35, True) + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/networks/test_simple_pandapower_test_networks.py b/test/networks/test_simple_pandapower_test_networks.py similarity index 96% rename from pandapower/test/networks/test_simple_pandapower_test_networks.py rename to test/networks/test_simple_pandapower_test_networks.py index cf3fe35c23..7fdbe447e8 100644 --- a/pandapower/test/networks/test_simple_pandapower_test_networks.py +++ b/test/networks/test_simple_pandapower_test_networks.py @@ -1,62 +1,62 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import pytest - -from pandapower.networks.simple_pandapower_test_networks import ( - panda_four_load_branch, - four_loads_with_branches_out, - simple_four_bus_system, - simple_mv_open_ring_net, -) -from pandapower.run import runpp - - -def test_panda_four_load_branch(): - pd_net = panda_four_load_branch() - assert len(pd_net.bus) == 6 - assert len(pd_net.ext_grid) == 1 - assert len(pd_net.trafo) == 1 - assert len(pd_net.line) == 4 - assert len(pd_net.load) == 4 - runpp(pd_net) - assert pd_net.converged - - -def test_four_loads_with_branches_out(): - pd_net = four_loads_with_branches_out() - assert len(pd_net.bus) == 10 - assert len(pd_net.ext_grid) == 1 - assert len(pd_net.trafo) == 1 - assert len(pd_net.line) == 8 - assert len(pd_net.load) == 4 - runpp(pd_net) - assert pd_net.converged - - -def test_simple_four_bus_system(): - net = simple_four_bus_system() - assert len(net.bus) == 4 - assert len(net.ext_grid) == 1 - assert len(net.trafo) == 1 - assert len(net.line) == 2 - assert len(net.sgen) == 2 - assert len(net.load) == 2 - runpp(net) - assert net.converged - - -def test_simple_mv_open_ring_net(): - net = simple_mv_open_ring_net() - assert len(net.bus) == 7 - assert len(net.ext_grid) == 1 - assert len(net.trafo) == 1 - assert len(net.line) == 6 - assert len(net.load) == 5 - runpp(net) - assert net.converged - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import pytest + +from pandapower.networks.simple_pandapower_test_networks import ( + panda_four_load_branch, + four_loads_with_branches_out, + simple_four_bus_system, + simple_mv_open_ring_net, +) +from pandapower.run import runpp + + +def test_panda_four_load_branch(): + pd_net = panda_four_load_branch() + assert len(pd_net.bus) == 6 + assert len(pd_net.ext_grid) == 1 + assert len(pd_net.trafo) == 1 + assert len(pd_net.line) == 4 + assert len(pd_net.load) == 4 + runpp(pd_net) + assert pd_net.converged + + +def test_four_loads_with_branches_out(): + pd_net = four_loads_with_branches_out() + assert len(pd_net.bus) == 10 + assert len(pd_net.ext_grid) == 1 + assert len(pd_net.trafo) == 1 + assert len(pd_net.line) == 8 + assert len(pd_net.load) == 4 + runpp(pd_net) + assert pd_net.converged + + +def test_simple_four_bus_system(): + net = simple_four_bus_system() + assert len(net.bus) == 4 + assert len(net.ext_grid) == 1 + assert len(net.trafo) == 1 + assert len(net.line) == 2 + assert len(net.sgen) == 2 + assert len(net.load) == 2 + runpp(net) + assert net.converged + + +def test_simple_mv_open_ring_net(): + net = simple_mv_open_ring_net() + assert len(net.bus) == 7 + assert len(net.ext_grid) == 1 + assert len(net.trafo) == 1 + assert len(net.line) == 6 + assert len(net.load) == 5 + runpp(net) + assert net.converged + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/networks/test_synthetic_voltage_control_lv_networks.py b/test/networks/test_synthetic_voltage_control_lv_networks.py similarity index 96% rename from pandapower/test/networks/test_synthetic_voltage_control_lv_networks.py rename to test/networks/test_synthetic_voltage_control_lv_networks.py index 5bb1e122f1..6c47a8f19b 100644 --- a/pandapower/test/networks/test_synthetic_voltage_control_lv_networks.py +++ b/test/networks/test_synthetic_voltage_control_lv_networks.py @@ -1,67 +1,67 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import pytest - -from pandapower.networks.synthetic_voltage_control_lv_networks import create_synthetic_voltage_control_lv_network -from pandapower.run import runpp - - -def test_rural_1(): - net = create_synthetic_voltage_control_lv_network("rural_1") - assert abs(net.line.length_km.sum() - 1.616) < 1e-6 - assert abs(net.load.p_mw.sum() - 77e-3) < 1e-6 - assert len(net.bus.index) == 26 - assert len(net.line.index) == 24 - assert len(net.trafo.index) == 1 - runpp(net) - assert net.converged - - -def test_rural_2(): - net = create_synthetic_voltage_control_lv_network("rural_2") - assert abs(net.line.length_km.sum() - 0.567) < 1e-6 - assert abs(net.load.p_mw.sum() - 64.5e-3) < 1e-6 - assert len(net.bus.index) == 18 - assert len(net.line.index) == 16 - assert len(net.trafo.index) == 1 - runpp(net) - assert net.converged - - -def test_village_1(): - net = create_synthetic_voltage_control_lv_network("village_1") - assert abs(net.line.length_km.sum() - 2.6) < 1e-6 - assert abs(net.load.p_mw.sum() - 262.1e-3) < 1e-6 - assert len(net.bus.index) == 80 - assert len(net.line.index) == 78 - assert len(net.trafo.index) == 1 - runpp(net) - assert net.converged - - -def test_village_2(): - net = create_synthetic_voltage_control_lv_network("village_2") - assert abs(net.line.length_km.sum() - 1.832) < 1e-6 - assert abs(net.load.p_mw.sum() - 183.6e-3) < 1e-6 - assert len(net.bus.index) == 74 - assert len(net.line.index) == 72 - assert len(net.trafo.index) == 1 - runpp(net) - assert net.converged - - -def test_suburb_1(): - net = create_synthetic_voltage_control_lv_network("suburb_1") - assert abs(net.line.length_km.sum() - 4.897) < 1e-6 - assert abs(net.load.p_mw.sum() - 578.3e-3) < 1e-6 - assert len(net.bus.index) == 204 - assert len(net.line.index) == 202 - assert len(net.trafo.index) == 1 - runpp(net) - assert net.converged - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import pytest + +from pandapower.networks.synthetic_voltage_control_lv_networks import create_synthetic_voltage_control_lv_network +from pandapower.run import runpp + + +def test_rural_1(): + net = create_synthetic_voltage_control_lv_network("rural_1") + assert abs(net.line.length_km.sum() - 1.616) < 1e-6 + assert abs(net.load.p_mw.sum() - 77e-3) < 1e-6 + assert len(net.bus.index) == 26 + assert len(net.line.index) == 24 + assert len(net.trafo.index) == 1 + runpp(net) + assert net.converged + + +def test_rural_2(): + net = create_synthetic_voltage_control_lv_network("rural_2") + assert abs(net.line.length_km.sum() - 0.567) < 1e-6 + assert abs(net.load.p_mw.sum() - 64.5e-3) < 1e-6 + assert len(net.bus.index) == 18 + assert len(net.line.index) == 16 + assert len(net.trafo.index) == 1 + runpp(net) + assert net.converged + + +def test_village_1(): + net = create_synthetic_voltage_control_lv_network("village_1") + assert abs(net.line.length_km.sum() - 2.6) < 1e-6 + assert abs(net.load.p_mw.sum() - 262.1e-3) < 1e-6 + assert len(net.bus.index) == 80 + assert len(net.line.index) == 78 + assert len(net.trafo.index) == 1 + runpp(net) + assert net.converged + + +def test_village_2(): + net = create_synthetic_voltage_control_lv_network("village_2") + assert abs(net.line.length_km.sum() - 1.832) < 1e-6 + assert abs(net.load.p_mw.sum() - 183.6e-3) < 1e-6 + assert len(net.bus.index) == 74 + assert len(net.line.index) == 72 + assert len(net.trafo.index) == 1 + runpp(net) + assert net.converged + + +def test_suburb_1(): + net = create_synthetic_voltage_control_lv_network("suburb_1") + assert abs(net.line.length_km.sum() - 4.897) < 1e-6 + assert abs(net.load.p_mw.sum() - 578.3e-3) < 1e-6 + assert len(net.bus.index) == 204 + assert len(net.line.index) == 202 + assert len(net.trafo.index) == 1 + runpp(net) + assert net.converged + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/opf/__init__.py b/test/opf/__init__.py similarity index 100% rename from pandapower/test/opf/__init__.py rename to test/opf/__init__.py diff --git a/pandapower/test/opf/case5_clm_matfile.json b/test/opf/case5_clm_matfile.json similarity index 100% rename from pandapower/test/opf/case5_clm_matfile.json rename to test/opf/case5_clm_matfile.json diff --git a/pandapower/test/opf/case5_clm_pm.m b/test/opf/case5_clm_pm.m similarity index 100% rename from pandapower/test/opf/case5_clm_pm.m rename to test/opf/case5_clm_pm.m diff --git a/pandapower/test/opf/case5_clm_pp.json b/test/opf/case5_clm_pp.json similarity index 100% rename from pandapower/test/opf/case5_clm_pp.json rename to test/opf/case5_clm_pp.json diff --git a/pandapower/test/opf/cigre_timeseries_15min.json b/test/opf/cigre_timeseries_15min.json similarity index 100% rename from pandapower/test/opf/cigre_timeseries_15min.json rename to test/opf/cigre_timeseries_15min.json diff --git a/pandapower/test/opf/test_TNEP.py b/test/opf/test_TNEP.py similarity index 99% rename from pandapower/test/opf/test_TNEP.py rename to test/opf/test_TNEP.py index 87810eb438..2495fe11bb 100644 --- a/pandapower/test/opf/test_TNEP.py +++ b/test/opf/test_TNEP.py @@ -62,7 +62,7 @@ def test_pm_tnep_cigre_dc(): # run power models tnep optimization - runpm_tnep(net, pm_solver="juniper", pm_model="DCMPPowerModel") # gurobi is a better option, but not for travis + runpm_tnep(net, pm_solver="juniper", pm_model="DCMPPowerModel") # gurobi is a better option, but not for ci tests # set lines to be built in service lines_to_built = net["res_ne_line"].loc[net["res_ne_line"].loc[:, "built"], "built"].index diff --git a/pandapower/test/opf/test_basic.py b/test/opf/test_basic.py similarity index 99% rename from pandapower/test/opf/test_basic.py rename to test/opf/test_basic.py index e3dea76c9c..271bace001 100644 --- a/pandapower/test/opf/test_basic.py +++ b/test/opf/test_basic.py @@ -27,11 +27,12 @@ create_transformer_from_parameters, ) from pandapower.network import pandapowerNet -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.networks import simple_four_bus_system from pandapower.pypower.opf_model import opf_model from pandapower.run import rundcopp, runopp, runpp -from pandapower.test.helper_functions import add_grid_connection + +from test.helper_functions import add_grid_connection logger = logging.getLogger(__name__) @@ -813,12 +814,9 @@ def test_no_controllables(simple_opf_test_net): net.gen.controllable = False create_poly_cost(net, 0, "gen", cp1_eur_per_mw=-2) create_poly_cost(net, 0, "load", cp1_eur_per_mw=1) - try: + # opf will fail if not bus limits are set and vm_pu is the default value of 1.0 (it is enforced) + with pytest.raises(OPFNotConverged): runopp(net) - except OPFNotConverged: - # opf will fail if not bus limits are set and vm_pu is the default value of 1.0 ( - # it is enforced) - assert True net.gen.loc[:, "vm_pu"] = 1.062 # vm_pu setpoint is mandatory if controllable=False net.gen.loc[:, "p_mw"] = 0.149 runopp(net) diff --git a/pandapower/test/opf/test_check_opf_data.py b/test/opf/test_check_opf_data.py similarity index 100% rename from pandapower/test/opf/test_check_opf_data.py rename to test/opf/test_check_opf_data.py diff --git a/pandapower/test/opf/test_cost_consistency.py b/test/opf/test_cost_consistency.py similarity index 100% rename from pandapower/test/opf/test_cost_consistency.py rename to test/opf/test_cost_consistency.py diff --git a/pandapower/test/opf/test_costs_mixed.py b/test/opf/test_costs_mixed.py similarity index 100% rename from pandapower/test/opf/test_costs_mixed.py rename to test/opf/test_costs_mixed.py diff --git a/pandapower/test/opf/test_costs_pol.py b/test/opf/test_costs_pol.py similarity index 100% rename from pandapower/test/opf/test_costs_pol.py rename to test/opf/test_costs_pol.py diff --git a/pandapower/test/opf/test_costs_pwl.py b/test/opf/test_costs_pwl.py similarity index 99% rename from pandapower/test/opf/test_costs_pwl.py rename to test/opf/test_costs_pwl.py index 17fe3fd434..44da23e69b 100644 --- a/pandapower/test/opf/test_costs_pwl.py +++ b/test/opf/test_costs_pwl.py @@ -9,7 +9,7 @@ create_bus, create_gen, create_ext_grid, create_load, create_line_from_parameters, create_pwl_cost, create_sgen ) from pandapower.network import pandapowerNet -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.run import runopp import logging diff --git a/pandapower/test/opf/test_costs_pwl_q.py b/test/opf/test_costs_pwl_q.py similarity index 100% rename from pandapower/test/opf/test_costs_pwl_q.py rename to test/opf/test_costs_pwl_q.py diff --git a/pandapower/test/opf/test_curtailment.py b/test/opf/test_curtailment.py similarity index 98% rename from pandapower/test/opf/test_curtailment.py rename to test/opf/test_curtailment.py index f9017e75bf..89ba7ce4d9 100644 --- a/pandapower/test/opf/test_curtailment.py +++ b/test/opf/test_curtailment.py @@ -9,7 +9,7 @@ create_bus, create_transformer, create_line, create_load, create_ext_grid, create_gen, create_poly_cost ) from pandapower.network import pandapowerNet -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.run import runopp import logging diff --git a/pandapower/test/opf/test_dcline.py b/test/opf/test_dcline.py similarity index 96% rename from pandapower/test/opf/test_dcline.py rename to test/opf/test_dcline.py index b2cd39b5df..3e5778da7c 100644 --- a/pandapower/test/opf/test_dcline.py +++ b/test/opf/test_dcline.py @@ -6,11 +6,19 @@ from pandapower.auxiliary import OPFNotConverged from pandapower.create import ( - create_bus, create_ext_grid, create_line, create_dcline, create_load, create_pwl_cost, create_poly_cost + create_empty_network, + create_bus, + create_ext_grid, + create_line, + create_dcline, + create_load, + create_pwl_cost, + create_poly_cost ) from pandapower.network import pandapowerNet from pandapower.run import runopp, runpp -from pandapower.test.consistency_checks import consistency_checks + +from test.consistency_checks import consistency_checks import logging diff --git a/pandapower/test/opf/test_oberrhein.py b/test/opf/test_oberrhein.py similarity index 100% rename from pandapower/test/opf/test_oberrhein.py rename to test/opf/test_oberrhein.py diff --git a/pandapower/test/opf/test_opf_cigre.py b/test/opf/test_opf_cigre.py similarity index 100% rename from pandapower/test/opf/test_opf_cigre.py rename to test/opf/test_opf_cigre.py diff --git a/pandapower/test/opf/test_pandamodels_converter.py b/test/opf/test_pandamodels_converter.py similarity index 78% rename from pandapower/test/opf/test_pandamodels_converter.py rename to test/opf/test_pandamodels_converter.py index 47700e2452..65a9fbf4db 100644 --- a/pandapower/test/opf/test_pandamodels_converter.py +++ b/test/opf/test_pandamodels_converter.py @@ -8,25 +8,14 @@ import numpy as np import pytest -import pandapower.test as test from pandapower.converter.pandamodels import convert_pp_to_pm from pandapower.converter.pandamodels.from_pm import read_pm_results_to_net from pandapower.create import create_poly_cost from pandapower.pd2ppc import _pd2ppc from pandapower.run import runopp -from pandapower.test.opf.test_basic import simple_opf_test_net, net_3w_trafo_opf - -try: - from juliacall import JuliaError as UnsupportedPythonError # type: ignore -except ImportError: - UnsupportedPythonError = Exception - -try: - from juliacall import Main # type: ignore - julia_installed = True -except (ImportError, RuntimeError, UnsupportedPythonError) as e: - julia_installed = False +from test import test_path +from test.opf.test_basic import simple_opf_test_net, net_3w_trafo_opf def test_pp_to_pm_conversion(net_3w_trafo_opf): # tests if the conversion to power models works @@ -48,8 +37,7 @@ def test_pm_to_pp_conversion(simple_opf_test_net): vm_pu = deepcopy(net.res_bus.vm_pu) # get previously calculated power models results - pm_res_file = os.path.join(os.path.abspath(os.path.dirname(test.__file__)), - "test_files", "pm_example_res.json") + pm_res_file = os.path.join(test_path, "test_files", "pm_example_res.json") with open(pm_res_file, "r") as fp: result_pm = json.load(fp) diff --git a/pandapower/test/test_files/__init__.py b/test/opf/test_pandamodels_init_pq.py similarity index 100% rename from pandapower/test/test_files/__init__.py rename to test/opf/test_pandamodels_init_pq.py diff --git a/pandapower/test/opf/test_pandamodels_runpm.py b/test/opf/test_pandamodels_runpm.py similarity index 94% rename from pandapower/test/opf/test_pandamodels_runpm.py rename to test/opf/test_pandamodels_runpm.py index 1ac08b59bc..0703ceb2e6 100644 --- a/pandapower/test/opf/test_pandamodels_runpm.py +++ b/test/opf/test_pandamodels_runpm.py @@ -9,7 +9,6 @@ import pandas as pd import pytest -from pandapower import pp_dir from pandapower.control import ConstControl from pandapower.converter.pandamodels import convert_pp_to_pm from pandapower.converter.pandamodels.to_pm import init_ne_line @@ -36,10 +35,7 @@ from pandapower.opf.pm_storage import read_pm_storage_results from pandapower.run import rundcpp, runpp from pandapower.runpm import runpm_pf, runpm_ac_opf, runpm_dc_opf, runpm_vstab, runpm_tnep, runpm_ots, runpm_qflex, \ - runpm_storage_opf, runpm_multi_qflex, runpm_ploss, runpm_loading, runpm_multi_vstab, runpm_redispatch -from pandapower.test.consistency_checks import consistency_checks -from pandapower.test.helper_functions import add_grid_connection, create_test_line -from pandapower.test.opf.test_basic import net_3w_trafo_opf + runpm_storage_opf, runpm_multi_qflex, runpm_ploss, runpm_loading, runpm_multi_vstab from pandapower.timeseries import DFData, run_timeseries try: @@ -49,10 +45,13 @@ try: from juliacall import Main - julia_installed = True except (ImportError, RuntimeError, UnsupportedPythonError) as e: - julia_installed = False + pytest.skip(allow_module_level=True, reason="juliacall not installed") +from test import test_path +from test.consistency_checks import consistency_checks +from test.helper_functions import add_grid_connection, create_test_line +from test.opf.test_basic import net_3w_trafo_opf def create_cigre_grid_with_time_series(json_path, net=None, add_ts_constaints=False): if net is None: @@ -148,21 +147,18 @@ def assert_pf(net, dc=False): assert np.allclose(vm_pm, vm_pp) -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_pm_ac_powerflow_simple(): net = simple_four_bus_system() net.trafo.loc[0, "shift_degree"] = 0. assert_pf(net, dc=False) -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_pm_dc_powerflow_simple(): net = simple_four_bus_system() net.trafo.loc[0, "shift_degree"] = 0. assert_pf(net, dc=True) -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_pm_ac_powerflow_shunt(): net = simple_four_bus_system() create_shunt(net, 2, q_mvar=-0.5) @@ -170,7 +166,6 @@ def test_pm_ac_powerflow_shunt(): assert_pf(net, dc=False) -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_pm_dc_powerflow_shunt(): net = simple_four_bus_system() create_shunt(net, 2, q_mvar=-0.5) @@ -178,7 +173,6 @@ def test_pm_dc_powerflow_shunt(): assert_pf(net, dc=True) -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_pm_ac_powerflow_tap(): net = simple_four_bus_system() net.trafo.loc[0, "shift_degree"] = 30. @@ -186,7 +180,6 @@ def test_pm_ac_powerflow_tap(): assert_pf(net, dc=False) -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_pm_dc_powerflow_tap(): net = simple_four_bus_system() net.trafo.loc[0, "shift_degree"] = 0. @@ -198,7 +191,6 @@ def test_pm_dc_powerflow_tap(): @pytest.mark.slow -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_compare_pwl_and_poly(net_3w_trafo_opf): net = deepcopy(net_3w_trafo_opf) net.ext_grid.loc[:, "min_p_mw"] = -999. @@ -242,7 +234,6 @@ def test_compare_pwl_and_poly(net_3w_trafo_opf): @pytest.mark.slow -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_pwl(): net = pandapowerNet(name="test_pwl") @@ -301,7 +292,6 @@ def test_pwl(): @pytest.mark.slow -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_without_ext_grid(): net = pandapowerNet(name="test_without_ext_grid") @@ -367,7 +357,6 @@ def test_without_ext_grid(): @pytest.mark.slow -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_multiple_ext_grids(): net = pandapowerNet(name="test_multiple_ext_grids") # generate three ext grids @@ -396,7 +385,6 @@ def test_multiple_ext_grids(): @pytest.mark.slow -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_voltage_angles(): net = pandapowerNet(name="test_voltage_angles") b1, b2, _ = add_grid_connection(net, vn_kv=110.) @@ -488,7 +476,6 @@ def tnep_grid(): @pytest.mark.slow -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_pm_tnep(): net = tnep_grid() # check if max line loading percent is violated (should be) @@ -509,7 +496,6 @@ def test_pm_tnep(): @pytest.mark.slow -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") # @pytest.mark.xfail(reason="OTS does not correctly consider net.sn_mva. Probably the impedances [pu]" # " are not correctly calculated.") def test_ots_opt(): @@ -545,7 +531,6 @@ def test_timeseries_pandamodels(): run=runpm_dc_opf) -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_runpm_vstab(): net = create_cigre_network_mv(with_der="pv_wind") net.sgen.p_mw = net.sgen.p_mw * 8 @@ -589,9 +574,8 @@ def test_runpm_vstab(): @pytest.mark.slow -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_storage_opt(): - json_path = os.path.join(pp_dir, "test", "opf", "cigre_timeseries_15min.json") + json_path = os.path.join(test_path, "opf", "cigre_timeseries_15min.json") net = create_cigre_grid_with_time_series(json_path) pm = convert_pp_to_pm(net, from_time_step=5, to_time_step=26) @@ -618,7 +602,6 @@ def test_storage_opt(): @pytest.mark.slow -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_runpm_multi_vstab(): net = create_cigre_network_mv(with_der="pv_wind") net.load['controllable'] = False @@ -646,7 +629,7 @@ def test_runpm_multi_vstab(): net.bus["pm_param/setpoint_v"].loc[net.sgen.bus] = 0.96 # load time series data for 96 time steps - json_path = os.path.join(pp_dir, "test", "opf", "cigre_timeseries_15min.json") + json_path = os.path.join(test_path, "opf", "cigre_timeseries_15min.json") create_cigre_grid_with_time_series(json_path, net, True) # run time series opf @@ -663,7 +646,6 @@ def test_runpm_multi_vstab(): @pytest.mark.slow -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_runpm_qflex_and_multi_qflex(): net = create_cigre_network_mv(with_der="pv_wind") runpp(net) @@ -701,7 +683,7 @@ def test_runpm_qflex_and_multi_qflex(): # test for multi_qflex # load time series data for 96 time steps - json_path = os.path.join(pp_dir, "test", "opf", "cigre_timeseries_15min.json") + json_path = os.path.join(test_path, "opf", "cigre_timeseries_15min.json") create_cigre_grid_with_time_series(json_path, net, True) runpm_multi_qflex(net, from_time_step=0, to_time_step=96) # get opf-results @@ -711,7 +693,6 @@ def test_runpm_qflex_and_multi_qflex(): assert np.array(y_multi).max() < 1e-6 -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_runpm_ploss_loading(): net = create_cigre_network_mv(with_der="pv_wind") net.load['controllable'] = False @@ -749,7 +730,6 @@ def test_runpm_ploss_loading(): assert (net.res_line.loading_percent.values - net_org.res_line.loading_percent.values).sum() < 0 -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") @pytest.mark.parametrize("net_func", [ case5, case9, @@ -767,7 +747,6 @@ def test_convergence_dc_opf(net_func, cpnd): runpm_dc_opf(net, correct_pm_network_data=cpnd) -@pytest.mark.skipif(not julia_installed, reason="requires julia installation") def test_ac_opf_differnt_snmva(): net = case9() res = pd.DataFrame(columns=net.bus.index.tolist()) diff --git a/pandapower/test/opf/test_pp_vs_pm.py b/test/opf/test_pp_vs_pm.py similarity index 100% rename from pandapower/test/opf/test_pp_vs_pm.py rename to test/opf/test_pp_vs_pm.py diff --git a/pandapower/test/timeseries/__init__.py b/test/plotting/__init__.py similarity index 100% rename from pandapower/test/timeseries/__init__.py rename to test/plotting/__init__.py diff --git a/pandapower/test/plotting/test_create_colormaps.py b/test/plotting/test_create_colormaps.py similarity index 97% rename from pandapower/test/plotting/test_create_colormaps.py rename to test/plotting/test_create_colormaps.py index ccad57a9fb..1cc46a5980 100644 --- a/pandapower/test/plotting/test_create_colormaps.py +++ b/test/plotting/test_create_colormaps.py @@ -1,50 +1,50 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import numpy as np -import pytest - -from pandapower.plotting.colormaps import cmap_discrete, cmap_continuous, cmap_logarithmic - -matplotlib = pytest.importorskip("matplotlib.colors", reason="colormaps require matplotlib") - - -def test_cmap_discrete(): - cmap_list = [((0, 10), "green"), ((10, 30), "yellow"), ((30, 100), "red")] - cmap, norm = cmap_discrete(cmap_list) - assert cmap.N == 3 - assert norm.N == 4 - assert norm(0) == 0 - assert norm(9.999) == 0 - assert norm(10.01) == 1 - assert norm(29.999) == 1 - assert norm(30.01) == 2 - assert norm(99.999) == 2 - - -def test_cmap_continuous(): - cmap_list = [(0.97, "blue"), (1.0, "green"), (1.03, "red")] - cmap, norm = cmap_continuous(cmap_list) - - assert np.allclose(cmap(0.99), (0.984313725490196, 0.007873894655901603, 0.0, 1.0)) - assert np.allclose(cmap(1.02), (1.0, 0.0, 0.0, 1.0)) - assert np.allclose([norm(0.97 + 0.01 * n) for n in range(7)], - [0.16666666666666666 * n for n in range(7)]) - - -def test_cmap_logarithmic(): - min_value, max_value = 1.0, 1.03 - colors = ["blue", "green", "red"] - cmap, norm = cmap_logarithmic(min_value, max_value, colors) - assert np.allclose(cmap(0.1), (0.0, 0.09770172300400634, 0.8053598487029561, 1.0)) - assert np.allclose(cmap(0.5), (0.0, 0.5002328217805124, 0.003442425359135415, 1.0)) - assert np.allclose(cmap(0.8), (0.5970222233016451, 0.20227904085250753, 0.0, 1.0)) - assert norm(1.) == 0 - assert norm(1.03) == 1 - assert np.isclose(norm(1.01), 0.3366283509006011) - assert np.isclose(norm(1.02), 0.669940112402371) - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import numpy as np +import pytest + +from pandapower.plotting.colormaps import cmap_discrete, cmap_continuous, cmap_logarithmic + +matplotlib = pytest.importorskip("matplotlib.colors", reason="colormaps require matplotlib") + + +def test_cmap_discrete(): + cmap_list = [((0, 10), "green"), ((10, 30), "yellow"), ((30, 100), "red")] + cmap, norm = cmap_discrete(cmap_list) + assert cmap.N == 3 + assert norm.N == 4 + assert norm(0) == 0 + assert norm(9.999) == 0 + assert norm(10.01) == 1 + assert norm(29.999) == 1 + assert norm(30.01) == 2 + assert norm(99.999) == 2 + + +def test_cmap_continuous(): + cmap_list = [(0.97, "blue"), (1.0, "green"), (1.03, "red")] + cmap, norm = cmap_continuous(cmap_list) + + assert np.allclose(cmap(0.99), (0.984313725490196, 0.007873894655901603, 0.0, 1.0)) + assert np.allclose(cmap(1.02), (1.0, 0.0, 0.0, 1.0)) + assert np.allclose([norm(0.97 + 0.01 * n) for n in range(7)], + [0.16666666666666666 * n for n in range(7)]) + + +def test_cmap_logarithmic(): + min_value, max_value = 1.0, 1.03 + colors = ["blue", "green", "red"] + cmap, norm = cmap_logarithmic(min_value, max_value, colors) + assert np.allclose(cmap(0.1), (0.0, 0.09770172300400634, 0.8053598487029561, 1.0)) + assert np.allclose(cmap(0.5), (0.0, 0.5002328217805124, 0.003442425359135415, 1.0)) + assert np.allclose(cmap(0.8), (0.5970222233016451, 0.20227904085250753, 0.0, 1.0)) + assert norm(1.) == 0 + assert norm(1.03) == 1 + assert np.isclose(norm(1.01), 0.3366283509006011) + assert np.isclose(norm(1.02), 0.669940112402371) + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/plotting/test_generic_coordinates.py b/test/plotting/test_generic_coordinates.py similarity index 94% rename from pandapower/test/plotting/test_generic_coordinates.py rename to test/plotting/test_generic_coordinates.py index e40dab3c71..55ae5cc96b 100644 --- a/pandapower/test/plotting/test_generic_coordinates.py +++ b/test/plotting/test_generic_coordinates.py @@ -1,55 +1,56 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import numpy as np -import pandas as pd -import pytest - -from pandapower.networks.simple_pandapower_test_networks import simple_four_bus_system -from pandapower.plotting.generic_geodata import create_generic_coordinates -from pandapower.test.helper_functions import create_test_network - -try: - import igraph - - IGRAPH_INSTALLED = True -except ImportError: - IGRAPH_INSTALLED = False - - -@pytest.mark.skipif(IGRAPH_INSTALLED is False, reason="Requires igraph.") -def test_create_generic_coordinates_igraph(): - net = create_test_network() - net.bus = net.bus.drop("geo", axis=1) - create_generic_coordinates(net, library="igraph") - assert len(net.bus.geo.dropna()) == len(net.bus) - - -@pytest.mark.xfail(reason="The current implementation is not working properly, as multigraph edges " - "as AtlasViews are accessed with list logic.") -def test_create_generic_coordinates_nx(): - net = create_test_network() - net.bus_geodata = net.bus_geodata.drop(net.bus_geodata.index) - create_generic_coordinates(net, library="networkx") - assert len(net.bus_geodata) == len(net.bus) - - -@pytest.mark.skipif(IGRAPH_INSTALLED is False, reason="Requires igraph.") -def test_create_generic_coordinates_igraph_custom_table_index(): - net = simple_four_bus_system() - create_generic_coordinates(net, geodata_table="bus", overwrite=True) - assert pd.notna(net.bus.geo).all() - net.bus.geo[[0, 2]] = pd.NA - create_generic_coordinates(net, geodata_table="bus", buses=[0, 2]) - assert pd.notna(net.bus.geo).all() - net.bus.geo.at[0] = "Hallo" - create_generic_coordinates(net, geodata_table="bus", buses=[0], overwrite=True) - assert net.bus.geo.at[0] != "Hallo" - - net["test"] = pd.DataFrame(data=["T1", "T2", "T3"], columns=["name"]) - create_generic_coordinates(net, geodata_table="test") - assert pd.notna(net.test.geo).all() - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import numpy as np +import pandas as pd +import pytest + +from pandapower.networks.simple_pandapower_test_networks import simple_four_bus_system +from pandapower.plotting.generic_geodata import create_generic_coordinates + +from test.helper_functions import create_test_network + +try: + import igraph + + IGRAPH_INSTALLED = True +except ImportError: + IGRAPH_INSTALLED = False + + +@pytest.mark.skipif(IGRAPH_INSTALLED is False, reason="Requires igraph.") +def test_create_generic_coordinates_igraph(): + net = create_test_network() + net.bus = net.bus.drop("geo", axis=1) + create_generic_coordinates(net, library="igraph") + assert len(net.bus.geo.dropna()) == len(net.bus) + + +@pytest.mark.xfail(reason="The current implementation is not working properly, as multigraph edges " + "as AtlasViews are accessed with list logic.") +def test_create_generic_coordinates_nx(): + net = create_test_network() + net.bus_geodata = net.bus_geodata.drop(net.bus_geodata.index) + create_generic_coordinates(net, library="networkx") + assert len(net.bus_geodata) == len(net.bus) + + +@pytest.mark.skipif(IGRAPH_INSTALLED is False, reason="Requires igraph.") +def test_create_generic_coordinates_igraph_custom_table_index(): + net = simple_four_bus_system() + create_generic_coordinates(net, geodata_table="bus", overwrite=True) + assert pd.notna(net.bus.geo).all() + net.bus.geo[[0, 2]] = pd.NA + create_generic_coordinates(net, geodata_table="bus", buses=[0, 2]) + assert pd.notna(net.bus.geo).all() + net.bus.geo.at[0] = "Hallo" + create_generic_coordinates(net, geodata_table="bus", buses=[0], overwrite=True) + assert net.bus.geo.at[0] != "Hallo" + + net["test"] = pd.DataFrame(data=["T1", "T2", "T3"], columns=["name"]) + create_generic_coordinates(net, geodata_table="test") + assert pd.notna(net.test.geo).all() + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/plotting/test_geo.py b/test/plotting/test_geo.py similarity index 97% rename from pandapower/test/plotting/test_geo.py rename to test/plotting/test_geo.py index bb40290392..7484b866ea 100644 --- a/pandapower/test/plotting/test_geo.py +++ b/test/plotting/test_geo.py @@ -13,12 +13,20 @@ from pandapower.network import pandapowerNet from pandapower.create import create_bus, create_line from pandapower.networks.mv_oberrhein import mv_oberrhein -from pandapower.plotting.geo import _node_geometries_from_geodata, _branch_geometries_from_geodata, \ - _transform_node_geometry_to_geodata, _transform_branch_geometry_to_coords, _convert_xy_epsg, \ - convert_geodata_to_geojson, dump_to_geojson, convert_crs -from pandapower.test.helper_functions import create_test_network +from pandapower.plotting.geo import ( + _node_geometries_from_geodata, + _branch_geometries_from_geodata, + _transform_node_geometry_to_geodata, + _transform_branch_geometry_to_coords, + _convert_xy_epsg, + convert_geodata_to_geojson, + dump_to_geojson, + convert_crs +) from pandapower.run import runpp +from test.helper_functions import create_test_network + def _bus_geojson_to_geodata_(_net): _net["bus_geodata"] = pd.DataFrame( diff --git a/pandapower/test/plotting/test_geo/test__branch_geometries_from_geodata/MV Oberrhein.pkl b/test/plotting/test_geo/test__branch_geometries_from_geodata/MV Oberrhein.pkl similarity index 100% rename from pandapower/test/plotting/test_geo/test__branch_geometries_from_geodata/MV Oberrhein.pkl rename to test/plotting/test_geo/test__branch_geometries_from_geodata/MV Oberrhein.pkl diff --git a/pandapower/test/plotting/test_geo/test__branch_geometries_from_geodata/test_network.pkl b/test/plotting/test_geo/test__branch_geometries_from_geodata/test_network.pkl similarity index 100% rename from pandapower/test/plotting/test_geo/test__branch_geometries_from_geodata/test_network.pkl rename to test/plotting/test_geo/test__branch_geometries_from_geodata/test_network.pkl diff --git a/pandapower/test/plotting/test_geo/test__node_geometries_from_geodata/MV Oberrhein.pkl b/test/plotting/test_geo/test__node_geometries_from_geodata/MV Oberrhein.pkl similarity index 100% rename from pandapower/test/plotting/test_geo/test__node_geometries_from_geodata/MV Oberrhein.pkl rename to test/plotting/test_geo/test__node_geometries_from_geodata/MV Oberrhein.pkl diff --git a/pandapower/test/plotting/test_geo/test__node_geometries_from_geodata/test_network.pkl b/test/plotting/test_geo/test__node_geometries_from_geodata/test_network.pkl similarity index 100% rename from pandapower/test/plotting/test_geo/test__node_geometries_from_geodata/test_network.pkl rename to test/plotting/test_geo/test__node_geometries_from_geodata/test_network.pkl diff --git a/pandapower/test/plotting/test_geo/test__transform_branch_geometry_to_coords/MV Oberrhein.pkl b/test/plotting/test_geo/test__transform_branch_geometry_to_coords/MV Oberrhein.pkl similarity index 100% rename from pandapower/test/plotting/test_geo/test__transform_branch_geometry_to_coords/MV Oberrhein.pkl rename to test/plotting/test_geo/test__transform_branch_geometry_to_coords/MV Oberrhein.pkl diff --git a/pandapower/test/plotting/test_geo/test__transform_branch_geometry_to_coords/test_network.pkl b/test/plotting/test_geo/test__transform_branch_geometry_to_coords/test_network.pkl similarity index 100% rename from pandapower/test/plotting/test_geo/test__transform_branch_geometry_to_coords/test_network.pkl rename to test/plotting/test_geo/test__transform_branch_geometry_to_coords/test_network.pkl diff --git a/pandapower/test/plotting/test_geo/test__transform_node_geometry_to_geodata/MV Oberrhein.pkl b/test/plotting/test_geo/test__transform_node_geometry_to_geodata/MV Oberrhein.pkl similarity index 100% rename from pandapower/test/plotting/test_geo/test__transform_node_geometry_to_geodata/MV Oberrhein.pkl rename to test/plotting/test_geo/test__transform_node_geometry_to_geodata/MV Oberrhein.pkl diff --git a/pandapower/test/plotting/test_geo/test__transform_node_geometry_to_geodata/test_network.pkl b/test/plotting/test_geo/test__transform_node_geometry_to_geodata/test_network.pkl similarity index 100% rename from pandapower/test/plotting/test_geo/test__transform_node_geometry_to_geodata/test_network.pkl rename to test/plotting/test_geo/test__transform_node_geometry_to_geodata/test_network.pkl diff --git a/pandapower/test/plotting/test_plotting_toolbox.py b/test/plotting/test_plotting_toolbox.py similarity index 100% rename from pandapower/test/plotting/test_plotting_toolbox.py rename to test/plotting/test_plotting_toolbox.py diff --git a/pandapower/test/plotting/test_simple_plot.py b/test/plotting/test_simple_plot.py similarity index 100% rename from pandapower/test/plotting/test_simple_plot.py rename to test/plotting/test_simple_plot.py diff --git a/pandapower/test/plotting/test_simple_plotly.py b/test/plotting/test_simple_plotly.py similarity index 100% rename from pandapower/test/plotting/test_simple_plotly.py rename to test/plotting/test_simple_plotly.py diff --git a/pandapower/test/plotting/test_to_html.py b/test/plotting/test_to_html.py similarity index 84% rename from pandapower/test/plotting/test_to_html.py rename to test/plotting/test_to_html.py index 3dada9181a..e0aa9b1828 100644 --- a/pandapower/test/plotting/test_to_html.py +++ b/test/plotting/test_to_html.py @@ -1,19 +1,20 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import os - -import pytest - -from pandapower.plotting.to_html import to_html -from pandapower.test.helper_functions import create_test_network - - -def test_html(tmp_path): - net = create_test_network() - filename = os.path.abspath(str(tmp_path)) + "testfile.html" - to_html(net, filename) - - -if __name__ == "__main__": - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import os + +import pytest + +from pandapower.plotting.to_html import to_html + +from test.helper_functions import create_test_network + + +def test_html(tmp_path): + net = create_test_network() + filename = os.path.abspath(str(tmp_path)) + "testfile.html" + to_html(net, filename) + + +if __name__ == "__main__": + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/toolbox/__init__.py b/test/protection/__init__.py similarity index 100% rename from pandapower/test/toolbox/__init__.py rename to test/protection/__init__.py diff --git a/pandapower/test/protection/test_fuse.py b/test/protection/test_fuse.py similarity index 99% rename from pandapower/test/protection/test_fuse.py rename to test/protection/test_fuse.py index 2a070993e1..e2237dfb2c 100644 --- a/pandapower/test/protection/test_fuse.py +++ b/test/protection/test_fuse.py @@ -16,7 +16,8 @@ from pandapower.run import runpp from pandapower.shortcircuit.calc_sc import calc_sc from pandapower.std_types import create_std_type -from pandapower.test.helper_functions import assert_net_equal + +from test.helper_functions import assert_net_equal try: import matplotlib.pyplot as plt diff --git a/pandapower/test/protection/test_oc_relay.py b/test/protection/test_oc_relay.py similarity index 100% rename from pandapower/test/protection/test_oc_relay.py rename to test/protection/test_oc_relay.py diff --git a/pandapower/test/run_tests.py b/test/run_tests.py similarity index 99% rename from pandapower/test/run_tests.py rename to test/run_tests.py index 39ae157b15..c734549310 100644 --- a/pandapower/test/run_tests.py +++ b/test/run_tests.py @@ -10,7 +10,7 @@ import pytest -from pandapower.test import test_path, tutorials_path +from test import tutorials_path, test_path import logging diff --git a/pandapower/test/topology/__init__.py b/test/shortcircuit/__init__.py similarity index 100% rename from pandapower/test/topology/__init__.py rename to test/shortcircuit/__init__.py diff --git a/pandapower/test/shortcircuit/sc_test_meshed_grid.json b/test/shortcircuit/sc_test_meshed_grid.json similarity index 97% rename from pandapower/test/shortcircuit/sc_test_meshed_grid.json rename to test/shortcircuit/sc_test_meshed_grid.json index 80788ab98b..18169c8a6b 100644 --- a/pandapower/test/shortcircuit/sc_test_meshed_grid.json +++ b/test/shortcircuit/sc_test_meshed_grid.json @@ -1,1970 +1,1970 @@ -{ - "_module": "pandapower.auxiliary", - "_class": "pandapowerNet", - "_object": { - "bus": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"description\",\"in_service\",\"name\",\"sernum\",\"type\",\"vn_kv\",\"zone\",\"geo\"],\"index\":[0,1,2,3,4,5,6,7,8,9],\"data\":[[\"\",true,\"Klemmleiste\",\"\",\"b\",10.0,\"Netz\",null],[\"\",true,\"Klemmleiste(1)\",\"\",\"b\",0.400000005960464,\"Netz\",null],[\"\",true,\"Klemmleiste(2)\",\"\",\"b\",0.400000005960464,\"Netz\",null],[\"\",true,\"Klemmleiste(3)\",\"\",\"b\",10.0,\"Netz\",null],[\"\",true,\"Klemmleiste(4)\",\"\",\"b\",0.400000005960464,\"Netz\",null],[\"\",true,\"Klemmleiste(5)\",\"\",\"b\",0.400000005960464,\"Netz\",null],[\"\",true,\"Klemmleiste(6)\",\"\",\"b\",0.400000005960464,\"Netz\",null],[\"\",true,\"Klemmleiste(7)\",\"\",\"b\",0.400000005960464,\"Netz\",null],[\"\",true,\"Klemmleiste(8)\",\"\",\"b\",0.400000005960464,\"Netz\",null],[\"\",true,\"Klemmleiste(9)\",\"\",\"b\",0.400000005960464,\"Netz\",null]]}", - "orient": "split", - "dtype": { - "description": "object", - "in_service": "bool", - "name": "object", - "sernum": "object", - "type": "object", - "vn_kv": "float64", - "zone": "object", - "geo": "object" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "bus_dc": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"vn_kv\",\"type\",\"zone\",\"in_service\",\"geo\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "vn_kv": "float64", - "type": "object", - "zone": "object", - "in_service": "bool", - "geo": "object" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "load": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"q_mvar\",\"const_z_percent\",\"const_i_percent\",\"sn_mva\",\"scaling\",\"in_service\",\"type\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "bus": "uint32", - "p_mw": "float64", - "q_mvar": "float64", - "const_z_percent": "float64", - "const_i_percent": "float64", - "sn_mva": "float64", - "scaling": "float64", - "in_service": "bool", - "type": "object" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "sgen": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"q_mvar\",\"sn_mva\",\"scaling\",\"in_service\",\"type\",\"current_source\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - "name": "object", - "bus": "int64", - "p_mw": "float64", - "q_mvar": "float64", - "sn_mva": "float64", - "scaling": "float64", - "in_service": "bool", - "type": "object", - "current_source": "bool" - }, - "is_multiindex": false, - "is_multicolumn": false - }, - "motor": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"pn_mech_mw\",\"loading_percent\",\"cos_phi\",\"cos_phi_n\",\"efficiency_percent\",\"efficiency_n_percent\",\"lrc_pu\",\"vn_kv\",\"scaling\",\"in_service\",\"rx\"],\"index\":[],\"data\":[]}", - "orient": "split", - "dtype": { - 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"pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[],\"index\":[],\"data\":[]}", + "orient": "split", + "is_multiindex": false, + "is_multicolumn": false + }, + "res_ext_grid_sc": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[],\"index\":[],\"data\":[]}", + "orient": "split", + "is_multiindex": false, + "is_multicolumn": false + }, + "res_gen_sc": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[],\"index\":[],\"data\":[]}", + "orient": "split", + "is_multiindex": false, + "is_multicolumn": false + }, + "res_sgen_sc": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[],\"index\":[],\"data\":[]}", + "orient": "split", + "is_multiindex": false, + "is_multicolumn": false + }, + "res_switch_sc": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[],\"index\":[],\"data\":[]}", + "orient": "split", + "is_multiindex": false, + "is_multicolumn": false + }, + "res_bus_3ph": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[\"vm_a_pu\",\"va_a_degree\",\"vm_b_pu\",\"va_b_degree\",\"vm_c_pu\",\"va_c_degree\",\"p_a_mw\",\"q_a_mvar\",\"p_b_mw\",\"q_b_mvar\",\"p_c_mw\",\"q_c_mvar\"],\"index\":[],\"data\":[]}", + "orient": "split", + "dtype": { + "vm_a_pu": "float64", + "va_a_degree": "float64", + "vm_b_pu": "float64", + "va_b_degree": "float64", + "vm_c_pu": "float64", + "va_c_degree": "float64", + "p_a_mw": "float64", + "q_a_mvar": "float64", + "p_b_mw": "float64", + "q_b_mvar": "float64", + "p_c_mw": "float64", + "q_c_mvar": "float64" + }, + "is_multiindex": false, + "is_multicolumn": false + }, + "res_line_3ph": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[\"p_a_from_mw\",\"q_a_from_mvar\",\"p_b_from_mw\",\"q_b_from_mvar\",\"q_c_from_mvar\",\"p_a_to_mw\",\"q_a_to_mvar\",\"p_b_to_mw\",\"q_b_to_mvar\",\"p_c_to_mw\",\"q_c_to_mvar\",\"p_a_l_mw\",\"q_a_l_mvar\",\"p_b_l_mw\",\"q_b_l_mvar\",\"p_c_l_mw\",\"q_c_l_mvar\",\"i_a_from_ka\",\"i_a_to_ka\",\"i_b_from_ka\",\"i_b_to_ka\",\"i_c_from_ka\",\"i_c_to_ka\",\"i_a_ka\",\"i_b_ka\",\"i_c_ka\",\"i_n_from_ka\",\"i_n_to_ka\",\"i_n_ka\",\"loading_a_percent\",\"loading_b_percent\",\"loading_c_percent\"],\"index\":[],\"data\":[]}", + "orient": "split", + "dtype": { + "p_a_from_mw": "float64", + "q_a_from_mvar": "float64", + "p_b_from_mw": "float64", + "q_b_from_mvar": "float64", + "q_c_from_mvar": "float64", + "p_a_to_mw": "float64", + "q_a_to_mvar": "float64", + "p_b_to_mw": "float64", + "q_b_to_mvar": "float64", + "p_c_to_mw": "float64", + "q_c_to_mvar": "float64", + "p_a_l_mw": "float64", + "q_a_l_mvar": "float64", + "p_b_l_mw": "float64", + "q_b_l_mvar": "float64", + "p_c_l_mw": "float64", + "q_c_l_mvar": "float64", + "i_a_from_ka": "float64", + "i_a_to_ka": "float64", + "i_b_from_ka": "float64", + "i_b_to_ka": "float64", + "i_c_from_ka": "float64", + "i_c_to_ka": "float64", + "i_a_ka": "float64", + "i_b_ka": "float64", + "i_c_ka": "float64", + "i_n_from_ka": "float64", + "i_n_to_ka": "float64", + "i_n_ka": "float64", + "loading_a_percent": "float64", + "loading_b_percent": "float64", + "loading_c_percent": "float64" + }, + "is_multiindex": false, + "is_multicolumn": false + }, + "res_trafo_3ph": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[\"p_a_hv_mw\",\"q_a_hv_mvar\",\"p_b_hv_mw\",\"q_b_hv_mvar\",\"p_c_hv_mw\",\"q_c_hv_mvar\",\"p_a_lv_mw\",\"q_a_lv_mvar\",\"p_b_lv_mw\",\"q_b_lv_mvar\",\"p_c_lv_mw\",\"q_c_lv_mvar\",\"p_a_l_mw\",\"q_a_l_mvar\",\"p_b_l_mw\",\"q_b_l_mvar\",\"p_c_l_mw\",\"q_c_l_mvar\",\"i_a_hv_ka\",\"i_a_lv_ka\",\"i_b_hv_ka\",\"i_b_lv_ka\",\"i_c_hv_ka\",\"i_c_lv_ka\",\"loading_a_percent\",\"loading_b_percent\",\"loading_c_percent\",\"loading_percent\"],\"index\":[],\"data\":[]}", + "orient": "split", + "dtype": { + "p_a_hv_mw": "float64", + "q_a_hv_mvar": "float64", + "p_b_hv_mw": "float64", + "q_b_hv_mvar": "float64", + "p_c_hv_mw": "float64", + "q_c_hv_mvar": "float64", + "p_a_lv_mw": "float64", + "q_a_lv_mvar": "float64", + "p_b_lv_mw": "float64", + "q_b_lv_mvar": "float64", + "p_c_lv_mw": "float64", + "q_c_lv_mvar": "float64", + "p_a_l_mw": "float64", + "q_a_l_mvar": "float64", + "p_b_l_mw": "float64", + "q_b_l_mvar": "float64", + "p_c_l_mw": "float64", + "q_c_l_mvar": "float64", + "i_a_hv_ka": "float64", + "i_a_lv_ka": "float64", + "i_b_hv_ka": "float64", + "i_b_lv_ka": "float64", + "i_c_hv_ka": "float64", + "i_c_lv_ka": "float64", + "loading_a_percent": "float64", + "loading_b_percent": "float64", + "loading_c_percent": "float64", + "loading_percent": "float64" + }, + "is_multiindex": false, + "is_multicolumn": false + }, + "res_ext_grid_3ph": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[\"p_a_mw\",\"q_a_mvar\",\"p_b_mw\",\"q_b_mvar\",\"p_c_mw\",\"q_c_mvar\"],\"index\":[],\"data\":[]}", + "orient": "split", + "dtype": { + "p_a_mw": "float64", + "q_a_mvar": "float64", + "p_b_mw": "float64", + "q_b_mvar": "float64", + "p_c_mw": "float64", + "q_c_mvar": "float64" + }, + "is_multiindex": false, + "is_multicolumn": false + }, + "res_shunt_3ph": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[],\"index\":[],\"data\":[]}", + "orient": "split", + "is_multiindex": false, + "is_multicolumn": false + }, + "res_load_3ph": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[\"p_mw\",\"q_mvar\"],\"index\":[],\"data\":[]}", + "orient": "split", + "dtype": { + "p_mw": "float64", + "q_mvar": "float64" + }, + "is_multiindex": false, + "is_multicolumn": false + }, + "res_sgen_3ph": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[\"p_mw\",\"q_mvar\"],\"index\":[],\"data\":[]}", + "orient": "split", + "dtype": { + "p_mw": "float64", + "q_mvar": "float64" + }, + "is_multiindex": false, + "is_multicolumn": false + }, + "res_storage_3ph": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[\"p_mw\",\"q_mvar\"],\"index\":[],\"data\":[]}", + "orient": "split", + "dtype": { + "p_mw": "float64", + "q_mvar": "float64" + }, + "is_multiindex": false, + "is_multicolumn": false + }, + "res_asymmetric_load_3ph": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[\"p_a_mw\",\"q_a_mvar\",\"p_b_mw\",\"q_b_mvar\",\"p_c_mw\",\"q_c_mvar\"],\"index\":[],\"data\":[]}", + "orient": "split", + "dtype": { + "p_a_mw": "float64", + "q_a_mvar": "float64", + "p_b_mw": "float64", + "q_b_mvar": "float64", + "p_c_mw": "float64", + "q_c_mvar": "float64" + }, + "is_multiindex": false, + "is_multicolumn": false + }, + "res_asymmetric_sgen_3ph": { + "_module": "pandas.core.frame", + "_class": "DataFrame", + "_object": "{\"columns\":[\"p_a_mw\",\"q_a_mvar\",\"p_b_mw\",\"q_b_mvar\",\"p_c_mw\",\"q_c_mvar\"],\"index\":[],\"data\":[]}", + "orient": "split", + "dtype": { + "p_a_mw": "float64", + "q_a_mvar": "float64", + "p_b_mw": "float64", + "q_b_mvar": "float64", + "p_c_mw": "float64", + "q_c_mvar": "float64" + }, + "is_multiindex": false, + "is_multicolumn": false + }, + "user_pf_options": {} + } } \ No newline at end of file diff --git a/pandapower/test/shortcircuit/test_1ph.py b/test/shortcircuit/test_1ph.py similarity index 92% rename from pandapower/test/shortcircuit/test_1ph.py rename to test/shortcircuit/test_1ph.py index c6b4fdc1a9..85489c7ba9 100644 --- a/pandapower/test/shortcircuit/test_1ph.py +++ b/test/shortcircuit/test_1ph.py @@ -1,657 +1,629 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import os - -import numpy as np -import pytest - -from pandapower import pp_dir -from pandapower.auxiliary import get_free_id -from pandapower.create import ( - create_bus, create_ext_grid, create_line, create_transformer, create_switch, create_transformer3w_from_parameters, - create_line_from_parameters, create_gen, create_transformer_from_parameters, create_buses, create_impedance -) -from pandapower.file_io import from_json -from pandapower.network import pandapowerNet -from pandapower.shortcircuit.calc_sc import calc_sc -from pandapower.std_types import create_std_type, add_zero_impedance_parameters - - -def check_results(net, vc, result): - res_ika = net.res_bus_sc[(net.bus.zone == vc) & net.bus.in_service].ikss_ka.values - if not np.allclose(result, res_ika, rtol=0, atol=1e-6): - raise ValueError("Incorrect results for vector group %s" % vc, res_ika, result) - - -def add_network(net, vector_group): - b1 = create_bus(net, 110, zone=vector_group, index=get_free_id(net.bus)) - b2 = create_bus(net, 20, zone=vector_group) - create_bus(net, 20, in_service=False) - b3 = create_bus(net, 20, zone=vector_group) - b4 = create_bus(net, 20, zone=vector_group) - create_bus(net, 20) - - create_ext_grid(net, b1, s_sc_max_mva=100, s_sc_min_mva=100, rx_min=0.35, rx_max=0.35) - net.ext_grid["r0x0_max"] = 0.4 - net.ext_grid["x0x_max"] = 1.0 - - net.ext_grid["r0x0_min"] = 0.4 - net.ext_grid["x0x_min"] = 1.0 - - create_std_type(net, {"r_ohm_per_km": 0.122, "x_ohm_per_km": 0.112, "c_nf_per_km": 304, "max_i_ka": 0.421, - "endtemp_degree": 70.0, "r0_ohm_per_km": 0.244, "x0_ohm_per_km": 0.336, "c0_nf_per_km": 2000, - "g0_us_per_km": 0}, "unsymmetric_line_type") - l1 = create_line(net, b2, b3, length_km=10, std_type="unsymmetric_line_type", index=get_free_id(net.line) + 1) - l2 = create_line(net, b3, b4, length_km=15, std_type="unsymmetric_line_type") - create_line(net, b3, b4, length_km=15, std_type="unsymmetric_line_type", in_service=False) - - transformer_type = {"i0_percent": 0.071, "pfe_kw": 29, "vkr_percent": 0.282, "sn_mva": 25, "vn_lv_kv": 20.0, - "vn_hv_kv": 110.0, "vk_percent": 11.2, "shift_degree": 150, "vector_group": vector_group, - "tap_side": "hv", "tap_neutral": 0, "tap_min": -9, "tap_max": 9, "tap_step_degree": 0, - "tap_step_percent": 1.5, "tap_phase_shifter": "Ratio", "vk0_percent": 5, "vkr0_percent": 0.4, - "mag0_percent": 1000, "mag0_rx": 0.4, "si0_hv_partial": 0.9} - create_std_type(net, transformer_type, vector_group, "trafo") - t1 = create_transformer(net, b1, b2, std_type=vector_group, parallel=2, index=get_free_id(net.trafo) + 1) - create_transformer(net, b1, b2, std_type=vector_group, in_service=False) - add_zero_impedance_parameters(net) - return l1, l2, t1 - - -def test_1ph_shortcircuit(): - # vector groups without "N" have no impact on the 1ph - results = { - "Yy": [0.52209347337, 0.74400073149, 0.74563682772, 0.81607276962], - "Yyn": [0.52209347337, 2.5145986133, 1.6737892808, 1.1117955913], - "Yd": [0.52209347337, 0.74400073149, 0.74563682772, 0.81607276962], - "YNy": [0.6291931171, 0.74400073149, 0.74563682772, 0.81607276962], - "YNyn": [0.62623661918, 2.9829679356, 1.8895041867, 1.2075537026], - "YNd": [0.75701600162, 0.74400073149, 0.74563682772, 0.81607276962], - "Dy": [0.52209347337, 0.74400073149, 0.74563682772, 0.81607276962], - "Dyn": [0.52209347337, 3.5054043285, 2.1086590382, 1.2980120038], - "Dd": [0.52209347337, 0.74400073149, 0.74563682772, 0.81607276962] - } - - for vc, result in results.items(): - net = pandapowerNet(name=f"test_1ph_shortcircuit {vc}", sn_mva=17) - add_network(net, vc) - try: - calc_sc(net, fault="1ph", case="max") - except Exception as e: - raise UserWarning(f"{str(e)}: Did not converge after adding transformer with vector group {vc}") - check_results(net, vc, result) - - -def test_1ph_shortcircuit_3w(): - # vector groups without "N" have no impact on the 1ph - # here we check both functions, with Y invertion and with LU factorization for individual buses - # The currents are taken from the calculation with commercial software for reference - results = { - "ddd": [1.5193429, 0, 0], - "ddy": [1.5193429, 0, 0], - "dyd": [1.5193429, 0, 0], - "dyy": [1.5193429, 0, 0], - "ydd": [1.5193429, 0, 0], - "ydy": [1.5193429, 0, 0], - "yyd": [1.5193429, 0, 0], - "yyy": [1.5193429, 0, 0], - "ynyd": [1.783257, 0, 0], - "yndy": [1.79376470, 0, 0], # ok - "yynd": [1.5193429, 3.339398, 0], - "ydyn": [1.5193429, 0, 8.836452], # ok - "ynynd": [1.783257, 3.499335, 0], - "yndyn": [1.79376470, 0, 9.04238714], # ok - "yndd": [1.843545, 0, 0], - "ynyy": [1.5193429, 0, 0], # ok but why? - "dynyn": [1.51934281, 3.4130868, 8.86290334] # Please verify with your commercial software -> results from sc calculations - } - - for vg, result in results.items(): - net = single_3w_trafo_grid(vg) - calc_sc(net, fault="1ph", case="max") - assert np.allclose(net.res_bus_sc.ikss_ka.values, result, rtol=0, atol=1e-6) - - net2 = single_3w_trafo_grid(vg) - for bus in net2.bus.index.values: - calc_sc(net2, fault="1ph", case="max", inverse_y=False, bus=bus) - assert np.allclose(net.res_bus_sc.ikss_ka.at[bus], net2.res_bus_sc.ikss_ka.at[bus], rtol=0, atol=1e-9) - - -def test_1ph_shortcircuit_min(): - results = { - "Yy": [0.52209345151, 0.66680074537, 0.66803609106, 0.72571559085] - ,"Yyn": [0.52209345151, 2.40601861813, 1.54211362172, 0.99258179645] - ,"Yd": [0.52209345151, 0.66680074537, 0.66803609106, 0.72571559085] - ,"YNy": [0.62305132639, 0.66680074537, 0.66803609106, 0.72571559085] - ,"YNyn":[0.62019004941, 2.90615348290, 1.75300032937, 1.07961489722] - ,"YNd": [0.75372631070, 0.66680074537, 0.66803609106, 0.72571559085] - ,"Dy": [0.52209345151, 0.66680074537, 0.66803609106, 0.72571559085] - ,"Dyn": [0.52209345151, 3.42429321754, 1.94906060941, 1.15434123431] - ,"Dd": [0.52209345151, 0.66680074537, 0.66803609106, 0.72571559085] - } -# "Yy": [0.52209346201, 0.66632662571, 0.66756160176, 0.72517293174], -# "Yyn": [0.52209346201, 2.4135757259, 1.545054139, 0.99373917957], -# "Yd": [0.52209346201, 0.66632662571, 0.66756160176, 0.72517293174], -# "YNy": [0.62316686505, 0.66632662571, 0.66756160176, 0.72517293174], -# "YNyn": [0.620287259, 2.9155736491, 1.7561556936, 1.0807305212], -# "YNd": [0.75434229157, 0.66632662571, 0.66756160176, 0.72517293174], -# "Dy": [0.52209346201, 0.66632662571, 0.66756160176, 0.72517293174], -# "Dyn": [0.52209346201, 3.4393798093, 1.9535982949, 1.1558364456], -# "Dd": [0.52209346201, 0.66632662571, 0.66756160176, 0.72517293174] -# } - - for inv_y in (False, True): - for vc, result in results.items(): - net = pandapowerNet(name=f"test_1ph_shortcircuit_min {inv_y} {vc}", sn_mva=16) - add_network(net, vc) - try: - calc_sc(net, fault="1ph", case="min", inverse_y=inv_y) - except Exception as e: - raise UserWarning(f"{str(e)}: Did not converge after adding transformer with vector group {vc}") - check_results(net, vc, result) - - -def test_iec60909_example_4(): - file = os.path.join(pp_dir, "test", "test_files", "IEC60909-4_example.json") - net = from_json(file) - for inv_y in (False, True): - calc_sc(net, fault="1ph", inverse_y=inv_y) - assert np.isclose(net.res_bus_sc[net.bus.name == "Q"].ikss_ka.values[0], 10.05957231) - assert np.isclose(net.res_bus_sc[net.bus.name == "T2LV"].ikss_ka.values[0], 34.467353142) - assert np.isclose(net.res_bus_sc[net.bus.name == "F1"].ikss_ka.values[0], 35.53066312) - assert np.isclose(net.res_bus_sc[net.bus.name == "F2"].ikss_ka.values[0], 34.89135137) - assert np.isclose(net.res_bus_sc[net.bus.name == "F3"].ikss_ka.values[0], 5.0321033105) - assert np.isclose(net.res_bus_sc[net.bus.name == "Cable/Line IC"].ikss_ka.values[0], 16.362586813) - - -def test_iec60909_example_4_bus_selection(): - file = os.path.join(pp_dir, "test", "test_files", "IEC60909-4_example.json") - net = from_json(file) - for inv_y in (False, True): - calc_sc(net, fault="1ph", inverse_y=inv_y, bus=net.bus[net.bus.name.isin(("F1", "F2"))].index) - assert np.isclose(net.res_bus_sc.at[net.bus[net.bus.name == "F1"].index[0], "ikss_ka"], 35.53066312) - assert np.isclose(net.res_bus_sc.at[net.bus[net.bus.name == "F2"].index[0], "ikss_ka"], 34.89135137) - - -@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) -def test_iec60909_example_4_bus_selection_br_res(inverse_y): - file = os.path.join(pp_dir, "test", "test_files", "IEC60909-4_example.json") - net = from_json(file) - calc_sc(net, fault="1ph", inverse_y=inverse_y, bus=net.bus[net.bus.name.isin(("F1", "F2"))].index, - branch_results=True) - calc_sc(net, fault="1ph", inverse_y=inverse_y, bus=net.bus[net.bus.name.isin(("F1", "F2"))].index, - branch_results=True, return_all_currents=True) - assert np.isclose(net.res_bus_sc.at[net.bus[net.bus.name == "F1"].index[0], "ikss_ka"], 35.53066312) - assert np.isclose(net.res_bus_sc.at[net.bus[net.bus.name == "F2"].index[0], "ikss_ka"], 34.89135137) - - -@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) -def test_1ph_with_switches(inverse_y): - net = pandapowerNet(name="test_1ph_with_switches", sn_mva=67) - vc = "Yy" - l1, l2, _ = add_network(net, vc) - calc_sc(net, fault="1ph", case="max", inverse_y=inverse_y) - create_line(net, net.line.to_bus.at[l2], net.line.from_bus.at[l1], length_km=15, std_type="unsymmetric_line_type", - parallel=2) - add_zero_impedance_parameters(net) - create_switch(net, bus=net.line.to_bus.at[l2], element=l2, et="l", closed=False) - calc_sc(net, fault="1ph", case="max") - check_results(net, vc, [0.52209347338, 2.0620266652, 2.3255761263, 2.3066467489]) - - -def single_3w_trafo_grid(vector_group, sn_mva=123): - net = pandapowerNet(name="single_3w_trafo_grid", sn_mva=sn_mva) - b1 = create_bus(net, vn_kv=380., geodata=(1, 1)) - b2 = create_bus(net, vn_kv=110., geodata=(0, 1)) - b3 = create_bus(net, vn_kv=30., geodata=(1, 0)) - create_ext_grid(net, b1, s_sc_max_mva=1000, s_sc_min_mva=800, rx_max=0.1, x0x_max=1, r0x0_max=0.1, rx_min=0.1, - x0x_min=1, r0x0_min=0.1) - - create_transformer3w_from_parameters(net, hv_bus=b1, mv_bus=b2, lv_bus=b3, vn_hv_kv=400, vn_mv_kv=120, vn_lv_kv=30, - sn_hv_mva=350, sn_mv_mva=350, sn_lv_mva=50, pfe_kw=0, i0_percent=0, - vk_hv_percent=21, vkr_hv_percent=.26, vk_mv_percent=7, vkr_mv_percent=.16, - vk_lv_percent=10., vkr_lv_percent=.16, vk0_hv_percent=44.1, - vkr0_hv_percent=0.26, vk0_mv_percent=6.2996, vkr0_mv_percent=0.03714, - vk0_lv_percent=6.2996, vkr0_lv_percent=0.03714, vector_group=vector_group) - return net - - -def iec_60909_4_small(n_t3=1, num_earth=1, with_gen=False): - net = pandapowerNet(name="iec_60909_4_small", sn_mva=3) - - b1 = create_bus(net, vn_kv=380.) - b2 = create_bus(net, vn_kv=110.) - b3 = create_bus(net, vn_kv=110.) - b5 = create_bus(net, vn_kv=110.) - b8 = create_bus(net, vn_kv=30.) - hg2 = create_bus(net, vn_kv=10) - - create_ext_grid(net, b1, s_sc_max_mva=38 * 380 * np.sqrt(3), rx_max=0.1, x0x_max=3, r0x0_max=0.15, - s_sc_min_mva=38 * 380 * np.sqrt(3) / 10, rx_min=0.1, x0x_min=3, r0x0_min=0.15, ) - create_ext_grid(net, b5, s_sc_max_mva=16 * 110 * np.sqrt(3), rx_max=0.1, x0x_max=3.3, r0x0_max=0.2, - s_sc_min_mva=16 * 110 * np.sqrt(3) / 10, rx_min=0.1, x0x_min=3.3, r0x0_min=0.2) - - if num_earth == 1: - vector_group = ("YYNd", "YNYd") - else: - vector_group = ("YNYNd", "YNYNd") - - if n_t3 == 2: - create_transformer3w_from_parameters(net, hv_bus=b1, mv_bus=b2, lv_bus=b8, vn_hv_kv=400, vn_mv_kv=120, - vn_lv_kv=30, sn_hv_mva=350, sn_mv_mva=350, sn_lv_mva=50, pfe_kw=0, - i0_percent=0, vk_hv_percent=21, vkr_hv_percent=.26, vk_mv_percent=7, - vkr_mv_percent=.16, vk_lv_percent=10., vkr_lv_percent=.16, - vk0_hv_percent=44.1, vkr0_hv_percent=0.26, vk0_mv_percent=6.2996, - vkr0_mv_percent=0.03714, vk0_lv_percent=6.2996, vkr0_lv_percent=0.03714, - vector_group=vector_group[0]) - create_transformer3w_from_parameters(net, hv_bus=b1, mv_bus=b2, lv_bus=b8, vn_hv_kv=400, vn_mv_kv=120, vn_lv_kv=30, - sn_hv_mva=350, sn_mv_mva=350, sn_lv_mva=50, pfe_kw=0, i0_percent=0, - vk_hv_percent=21, vkr_hv_percent=.26, vk_mv_percent=7, vkr_mv_percent=.16, - vk_lv_percent=10., vkr_lv_percent=.16, vk0_hv_percent=44.1, - vkr0_hv_percent=0.26, vk0_mv_percent=6.2996, vkr0_mv_percent=0.03714, - vk0_lv_percent=6.2996, vkr0_lv_percent=0.03714, vector_group=vector_group[1]) - - create_line_from_parameters(net, b2, b3, name="L1", c_nf_per_km=0, max_i_ka=0, # FIXME: Optional for SC - length_km=20, r_ohm_per_km=0.12, x_ohm_per_km=0.39, r0_ohm_per_km=0.32, - x0_ohm_per_km=1.26, c0_nf_per_km=0, g0_us_per_km=0, endtemp_degree=80) - create_line_from_parameters(net, b2, b5, name="L3a", c_nf_per_km=0, max_i_ka=0, length_km=5, r_ohm_per_km=0.12, - x_ohm_per_km=0.39, r0_ohm_per_km=0.52, x0_ohm_per_km=1.86, c0_nf_per_km=0, - g0_us_per_km=0, endtemp_degree=80) - create_line_from_parameters(net, b2, b5, name="L3b", c_nf_per_km=0, max_i_ka=0, length_km=5, r_ohm_per_km=0.12, - x_ohm_per_km=0.39, r0_ohm_per_km=0.52, x0_ohm_per_km=1.86, c0_nf_per_km=0, - g0_us_per_km=0, endtemp_degree=80) - create_line_from_parameters(net, b5, b3, name="L4", c_nf_per_km=0, max_i_ka=0, length_km=10, r_ohm_per_km=0.096, - x_ohm_per_km=0.388, r0_ohm_per_km=0.22, x0_ohm_per_km=1.1, c0_nf_per_km=0, - g0_us_per_km=0, endtemp_degree=80) - - if with_gen: - t1 = create_transformer_from_parameters(net, b3, hg2, sn_mva=100, pfe_kw=0, i0_percent=0, vn_hv_kv=120., - vn_lv_kv=10.5, vk_percent=12, vkr_percent=0.5, vk0_percent=12, - vkr0_percent=0.5, mag0_percent=10000, mag0_rx=0, si0_hv_partial=0.5, - shift_degree=5, vector_group="Yd", power_station_unit=True) - create_gen(net, hg2, p_mw=0.9 * 100, vn_kv=10.5, xdss_pu=0.16, rdss_ohm=0.005, cos_phi=0.9, sn_mva=100, - pg_percent=7.5, slack=True, power_station_trafo=t1) - - return net - - -def iec_60909_4_t1(): - net = pandapowerNet(name="iec_60909_4_t1", sn_mva=26) - create_bus(net, vn_kv=110.) - create_bus(net, vn_kv=20.) - - t1 = create_transformer_from_parameters(net, 0, 1, sn_mva=150, pfe_kw=0, i0_percent=0, vn_hv_kv=115., vn_lv_kv=21, - vk_percent=16, vkr_percent=0.5, pt_percent=12, oltc=True, vk0_percent=15.2, - vkr0_percent=0.5, xn_ohm=22, vector_group="YNd", mag0_percent=10000, - mag0_rx=0, si0_hv_partial=0.5, power_station_unit=True) - create_gen(net, 1, p_mw=0.85 * 150, vn_kv=21, xdss_pu=0.14, rdss_ohm=0.002, cos_phi=0.85, sn_mva=150, pg_percent=0, - power_station_trafo=t1) - return net - - -def vde_232(): - net = pandapowerNet(name="vde_232", sn_mva=12) - # hv buses - create_bus(net, 110, geodata=(0, 0)) - create_bus(net, 21, geodata=(1, 0)) - - create_ext_grid(net, 0, s_sc_max_mva=13.61213 * 110 * np.sqrt(3), rx_max=0.20328, x0x_max=3.47927, - r0x0_max=3.03361 * 0.20328 / 3.47927) - create_transformer_from_parameters(net, 0, 1, 150, 115, 21, 0.5, 16, pfe_kw=0, i0_percent=0, tap_step_percent=1, - tap_max=12, tap_min=-12, tap_neutral=0, tap_side='hv', vector_group="YNd", - vk0_percent=np.sqrt(np.square(0.95 * 15.99219) + np.square(0.5)), - vkr0_percent=0.5, mag0_percent=10000, mag0_rx=0, si0_hv_partial=0.9, pt_percent=12, - oltc=True, power_station_unit=True, xn_ohm=22, tap_changer_type="Ratio") - - create_gen(net, 1, 150, 1, 150, vn_kv=21, xdss_pu=0.14, rdss_ohm=0.002, cos_phi=0.85, power_station_trafo=0, - pg_percent=5) - - # z_q - u_nq = 110 - i_kqss = 13.61213 - z_q = 1.1 * u_nq / (np.sqrt(3) * i_kqss) - rx_max = 0.20328 - x_q = z_q / np.sqrt(1 + rx_max ** 2) - x_0q = x_q * 3.47927 - r_0q = x_0q * 3.03361 * 0.20328 / 3.47927 - z_0q = r_0q + 1j * x_0q - return net - - -def test_iec60909_example_4_one_trafo3w(): - net = iec_60909_4_small(n_t3=1) - - # r0 = 2.378330877 - # x0 = 17.335578502 - # r = 0.59621204768 - # x = 6.0598429694 - ikss_pf = [24.4009, 8.2481, 6.1728, 10.1851] - - calc_sc(net, fault="1ph") - assert np.allclose(net.res_bus_sc.ikss_ka.values[:4], np.array(ikss_pf), atol=1e-4) - - -def test_iec60909_example_4_two_trafo3w(): - net = iec_60909_4_small(n_t3=2) - - ikss_pf_2t3 = [24.5772, 14.7247, 8.1060, 15.2749] - - calc_sc(net, fault="1ph") - assert np.allclose(net.res_bus_sc.ikss_ka.values[:4], np.array(ikss_pf_2t3), atol=1e-4) - - -def test_iec60909_example_4_two_trafo3w_two_earth(): - net = iec_60909_4_small(n_t3=2, num_earth=2) - - # r0 = 2.378330877 - # x0 = 17.335578502 - # r = 0.59621204768 - # x = 6.0598429694 - ikss_pf_max = [26.0499, 20.9472, 9.1722, 18.7457] - ikss_pf_min = [3.9447, 8.2164, 4.9642, 6.8273] - - calc_sc(net, fault="1ph", case="max") - assert np.allclose(net.res_bus_sc.ikss_ka.values[:4], np.array(ikss_pf_max), atol=1e-4) - - calc_sc(net, fault="1ph", case="min") - assert np.allclose(net.res_bus_sc.ikss_ka.values[:4], np.array(ikss_pf_min), atol=1e-4) - - -@pytest.mark.skip("1ph gen-close sc calculation still under develop") -def test_iec_60909_4_small_with_t2_1ph(): - net = iec_60909_4_small(n_t3=2, num_earth=1, with_gen=True) - net.gen = net.gen.iloc[0:0, :] - calc_sc(net, fault="1ph", case="max", ip=True, tk_s=0.1, kappa_method="C") - - ikss_max = [24.57717, 16.96235, 11.6109, 18.07836] - # ikss_min = [3.5001, 8.4362, 7.4743, 7.7707] - assert np.allclose(net.res_bus_ikss_ka.values[:4], np.array(ikss_max), atol=1e-4) - - -@pytest.mark.skip("1ph gen-close sc calculation still under develop") -def test_iec_60909_4_small_with_gen_1ph_no_ps_detection(): - net = iec_60909_4_small(n_t3=2, num_earth=1, with_gen=True) - net.gen.power_station_trafo = np.nan - net.trafo.power_station_unit = np.nan - calc_sc(net, fault="1ph", case="max", ip=True, tk_s=0.1, kappa_method="C") - - ikss_max = [24.60896, 17.2703, 12.3771, 18.4723] - # ikss_min = [3.5001, 8.4362, 7.4743, 7.7707] - # ip_min = [8.6843, 21.6173, 18.0242, 19.4261] - assert np.allclose(net.res_bus_ikss_ka.values[:4], np.array(ikss_max), atol=1e-4) - - -def test_iec_60909_4_small_with_gen_ps_unit_1ph(): - net = iec_60909_4_small(n_t3=2, num_earth=1, with_gen=True) - - calc_sc(net, fault="1ph", case="max", ip=True, tk_s=0.1, kappa_method="C") - - ikss_max = [24.6109, 17.4363, 12.7497, 18.6883] - # ikss_min = [3.5001, 8.4362, 7.4743, 7.7707] - # ip_min = [8.6843, 21.6173, 18.0242, 19.4261] - - # TODO: This needs to be fixed!! - # assert np.allclose(net.res_bus_sc.ikss_ka.values[:4], np.array(ikss_max), atol=1e-4) - - -def test_vde_232_with_gen_ps_unit_1ph(): - # IEC 60909-4:2021, example from section 4.4.2 - # from pandapower.test.shortcircuit.test_1ph import * - # from pandapower.pypower.idx_bus import * - net = vde_232() - - calc_sc(net, fault="1ph", case="max", ip=True, tk_s=0.1, kappa_method="C") - assert np.isclose(net.res_bus_sc.at[0, 'ikss_ka'], 9.04979, rtol=0, atol=1e-4) - assert np.isclose(net.res_bus_sc.at[0, 'rk0_ohm'], 2.09392, rtol=0, atol=1e-4) - assert np.isclose(net.res_bus_sc.at[0, 'xk0_ohm'], 14.3989, rtol=0, atol=1e-4) - - -def test_t1_iec60909_4(): - net = iec_60909_4_t1() - calc_sc(net, fault="1ph", case="max", ip=True, tk_s=0.1, kappa_method="C") - assert np.isclose(net.res_bus_sc.at[0, 'ikss_ka'], 1.587457, rtol=0, atol=1e-4) - assert np.isclose(net.res_bus_sc.at[0, 'rk0_ohm'], 0.439059, rtol=0, atol=1e-4) - assert np.isclose(net.res_bus_sc.at[0, 'xk0_ohm'], 79.340169, rtol=0, atol=1e-4) - assert np.isclose(net.res_bus_sc.at[0, 'rk_ohm'], 0.498795, rtol=0, atol=1e-4) - assert np.isclose(net.res_bus_sc.at[0, 'xk_ohm'], 26.336676, rtol=0, atol=1e-4) - - -def test_1ph_sn_mva_ext_grid(): - net1 = pandapowerNet(name="test_1ph_sn_mva_ext_grid 0", sn_mva=1) - b1 = create_bus(net1, 110) - create_ext_grid(net1, b1, s_sc_max_mva=1000, s_sc_min_mva=800, rx_max=0.1, x0x_max=1, r0x0_max=0.1, rx_min=0.1, - x0x_min=1, r0x0_min=0.1) - - net2 = pandapowerNet(name="test_1ph_sn_mva_ext_grid 1", sn_mva=17) - b1 = create_bus(net2, 110) - create_ext_grid(net2, b1, s_sc_max_mva=1000, s_sc_min_mva=800, rx_max=0.1, x0x_max=1, r0x0_max=0.1, rx_min=0.1, - x0x_min=1, r0x0_min=0.1) - - calc_sc(net1, fault="1ph", case="max") - calc_sc(net2, fault="1ph", case="max") - - res = {'ikss_ka': 5.2486388108147795, 'rk0_ohm': 1.3243945001694957, 'xk0_ohm': 13.243945001694957, - 'rk_ohm': 1.3243945001694957, 'xk_ohm': 13.243945001694957} - - for var in res.keys(): - assert np.allclose(net1.res_bus_sc[var], net2.res_bus_sc[var], atol=1e-6, rtol=0) - assert np.allclose(net1.res_bus_sc[var], res[var], atol=1e-6, rtol=0) - - -def test_line(): - net = pandapowerNet(name="test_line", sn_mva=17) - b1 = create_bus(net, 110) - create_ext_grid(net, b1, s_sc_max_mva=1000, s_sc_min_mva=800, rx_max=0.1, x0x_max=1, r0x0_max=0.1, rx_min=0.1, - x0x_min=1, r0x0_min=0.1) - - b2 = create_bus(net, 110) - - create_line_from_parameters(net, b1, b2, 1, 1, 0.5, 0., 10, r0_ohm_per_km=4, x0_ohm_per_km=0.25, c0_nf_per_km=0.) - calc_sc(net, fault="1ph", case="max") - - assert np.allclose(net.res_bus_sc.ikss_ka, [5.248639, 4.968909], rtol=0, atol=1e-6) - - res = net.res_bus_sc.copy() - calc_sc(net, fault="1ph", case="max") - assert np.allclose(net.res_bus_sc, res, rtol=0, atol=1e-6, equal_nan=True) - - -def test_trafo(): - results = {"Yy": [5.248639, 0], "Yyn": [5.248639, 0.812581], "Yd": [5.248639, 0], "Dy": [5.248639, 0], - "Dd": [5.248639, 0], "Dyn": [5.248639, 17.245191], "YNd": [6.324033, 0], "YNy": [5.265657, 0], - "YNyn": [5.265737, 14.413729]} - - for vc in results.keys(): - net = pandapowerNet(name=f"test_trafo {vc}", sn_mva=1) - create_bus(net, vn_kv=110.) - create_bus(net, vn_kv=20.) - - create_ext_grid(net, 0, s_sc_max_mva=1000, s_sc_min_mva=800, rx_max=0.1, x0x_max=1, r0x0_max=0.1, rx_min=0.1, - x0x_min=1, r0x0_min=0.1) - - t1 = create_transformer_from_parameters(net, 0, 1, sn_mva=150, pfe_kw=10, i0_percent=0.1, vn_hv_kv=115., - vn_lv_kv=21, vk_percent=16, vkr_percent=0.5, pt_percent=12, - vk0_percent=15.2, vkr0_percent=0.5, vector_group=vc, mag0_percent=10000, - mag0_rx=0, si0_hv_partial=0.5) - calc_sc(net, fault="1ph", case="max") - res = net.res_bus_sc.copy() - - net.sn_mva = 123 - calc_sc(net, fault="1ph", case="max") - assert np.allclose(net.res_bus_sc, res, rtol=0, atol=1e-6, equal_nan=True), f"failed for vector group {vc}" - assert np.allclose(net.res_bus_sc.ikss_ka, results[vc], rtol=0, atol=1e-6), f"{vc}: inconsistent results" - - -def test_sc_1ph_impedance(): - net = pandapowerNet(name="test_sc_1ph_impedance") - create_buses(net, 2, 110) - create_ext_grid(net, 0, s_sc_max_mva=1000, s_sc_min_mva=800, rx_max=0.1, x0x_max=1, r0x0_max=0.1, rx_min=0.1, - x0x_min=1, r0x0_min=0.1) - create_impedance(net, 0, 1, rft_pu=0.2, xft_pu=0.4, sn_mva=50, rtf_pu=0.25, xtf_pu=0.5, rft0_pu=0.1, xft0_pu=0.2, - rtf0_pu=0.05, xtf0_pu=0.1, gf0_pu=0, bf0_pu=0) - - calc_sc(net, fault="1ph") - - assert np.allclose(net.res_bus_sc.ikss_ka, [5.248639, 0.625166], rtol=0, atol=1e-6) - assert np.allclose(net.res_bus_sc.rk0_ohm, [1.324394, 12.762198], rtol=0, atol=1e-6) - assert np.allclose(net.res_bus_sc.xk0_ohm, [13.243945, 30.821973], rtol=0, atol=1e-6) - assert np.allclose(net.res_bus_sc.rk_ohm, [1.3243945, 62.1554916], rtol=0, atol=1e-5) - assert np.allclose(net.res_bus_sc.xk_ohm, [13.2439445, 137.5549268], rtol=0, atol=1e-5) - - -@pytest.mark.parametrize("inverse_y", (True, False)) -def test_trafo_neutral_earthing_impedance(inverse_y): - # A neutral earthing impedance (e.g. a neutral earthing resistor/reactor on - # the star point of an earthed-wye / earthing transformer) must add 3*Z_N in - # series to the zero-sequence impedance for the single-phase-to-ground fault - # (IEC 60909). rn_ohm carries the resistance, xn_ohm the reactance of Z_N. - # Verified directly on the zero-sequence Thevenin impedance reported at the - # earthed LV bus (res_bus_sc.rk0_ohm / xk0_ohm). - def build(rn_ohm=0.0, xn_ohm=0.0): - net = pandapowerNet(name="test_trafo_neutral_earthing_impedance", sn_mva=1.0) - b_hv = create_bus(net, vn_kv=20.0) - b_lv = create_bus(net, vn_kv=0.4) - create_ext_grid( - net, - b_hv, - s_sc_max_mva=1000.0, - s_sc_min_mva=1000.0, - rx_max=0.1, - rx_min=0.1, - x0x_max=1.0, - x0x_min=1.0, - r0x0_max=0.1, - r0x0_min=0.1, - ) - create_transformer_from_parameters( - net, - b_hv, - b_lv, - sn_mva=0.63, - vn_hv_kv=20.0, - vn_lv_kv=0.4, - vk_percent=6.0, - vkr_percent=1.0, - pfe_kw=0.0, - i0_percent=0.0, - vector_group="Dyn", - shift_degree=330.0, - vk0_percent=6.0, - vkr0_percent=1.0, - mag0_percent=100.0, - mag0_rx=0.0, - si0_hv_partial=0.9, - rn_ohm=rn_ohm, - xn_ohm=xn_ohm, - ) - calc_sc(net, fault="1ph", case="max", inverse_y=inverse_y) - return net.res_bus_sc.loc[b_lv] - - base = build() - with_rn = build(rn_ohm=0.01) - with_xn = build(xn_ohm=0.02) - - # the neutral earthing impedance adds exactly 3*Z_N to the zero sequence - assert np.isclose(with_rn.rk0_ohm - base.rk0_ohm, 3 * 0.01, rtol=0, atol=1e-6) - assert np.isclose(with_rn.xk0_ohm, base.xk0_ohm, rtol=0, atol=1e-6) - assert np.isclose(with_xn.xk0_ohm - base.xk0_ohm, 3 * 0.02, rtol=0, atol=1e-6) - assert np.isclose(with_xn.rk0_ohm, base.rk0_ohm, rtol=0, atol=1e-6) - # the positive sequence impedance is unaffected by neutral earthing - assert np.isclose(with_rn.rk_ohm, base.rk_ohm, rtol=0, atol=1e-6) - assert np.isclose(with_rn.xk_ohm, base.xk_ohm, rtol=0, atol=1e-6) - # and the earth-fault current is correspondingly reduced - assert with_rn.ikss_ka < base.ikss_ka - - -@pytest.mark.parametrize("inverse_y", (True, False)) -def test_zigzag_earthing_transformer(inverse_y): - # A zigzag earthing transformer (ZNyn / ZNd) provides the earth reference on - # an otherwise delta-fed (un-earthed) system. In the zero sequence it is a - # shunt-to-ground at its zigzag (ZN, HV-side) terminal. Modelling it as the - # equivalent wye-delta grounding bank (YNd, HV earthed star) must give the - # same single-phase earth-fault current, and a neutral earthing resistor - # (rn_ohm) must limit that current. - def build(eat_vg, rn_ohm=0.0): - net = pandapowerNet(name="test_zigzag_earthing_transformer", sn_mva=1.0) - b_src = create_bus(net, vn_kv=110.0) - b_mv = create_bus(net, vn_kv=20.0) # delta side of the main trafo -> no earth - b_aux = create_bus(net, vn_kv=0.4) - create_ext_grid( - net, - b_src, - s_sc_max_mva=5000.0, - s_sc_min_mva=5000.0, - rx_max=0.1, - rx_min=0.1, - x0x_max=1.0, - x0x_min=1.0, - r0x0_max=0.1, - r0x0_min=0.1, - ) - # main transformer: delta on the MV side, so the MV system has no earth - create_transformer_from_parameters( - net, - b_src, - b_mv, - sn_mva=40.0, - vn_hv_kv=110.0, - vn_lv_kv=20.0, - vk_percent=12.0, - vkr_percent=0.4, - pfe_kw=0.0, - i0_percent=0.0, - vector_group="YNd", - shift_degree=330.0, - vk0_percent=12.0, - vkr0_percent=0.4, - mag0_percent=100.0, - mag0_rx=0.0, - si0_hv_partial=0.9, - ) - # earthing transformer on the MV bus - create_transformer_from_parameters( - net, - b_mv, - b_aux, - sn_mva=0.4, - vn_hv_kv=20.0, - vn_lv_kv=0.4, - vk_percent=4.0, - vkr_percent=1.0, - pfe_kw=0.0, - i0_percent=0.0, - vector_group=eat_vg, - shift_degree=330.0, - vk0_percent=4.0, - vkr0_percent=1.0, - mag0_percent=100.0, - mag0_rx=0.0, - si0_hv_partial=0.9, - rn_ohm=rn_ohm, - ) - calc_sc(net, fault="1ph", case="max", inverse_y=inverse_y) - return net.res_bus_sc.at[b_mv, "ikss_ka"], net.res_bus_sc.at[b_aux, "ikss_ka"] - - znyn_mv, znyn_lv = build("ZNyn") - znd_mv, znd_lv = build("ZNd") - ynd_mv, _ = build("YNd") - - # The zigzag earths the delta-fed MV system (finite MV earth-fault current), - # of the same order as the equivalent wye-delta grounding bank (YNd) -- but - # not identical, since the zigzag presents only its own HV-winding leakage - # portion to earth (si0), per the YNzn zero-sequence model. - assert znyn_mv > 0.0 - assert 0.5 < znyn_mv / ynd_mv < 2.0 - # ZNyn and ZNd share the same zigzag (HV) earth -> same MV earth-fault current. - assert np.isclose(znyn_mv, znd_mv, rtol=0, atol=1e-6) - # The zigzag decouples the two zero-sequence sides: an earthed-wye secondary - # (ZNyn) has its own LV earth-fault path, whereas a delta secondary (ZNd) - # gives no LV zero-sequence path. - assert znyn_lv > 0.0 - assert np.isclose(znd_lv, 0.0, rtol=0, atol=1e-6) - # and a neutral earthing resistor limits the (HV) earth-fault current - assert build("ZNyn", rn_ohm=5.0)[0] < znyn_mv - - -if __name__ == "__main__": - pytest.main([__file__]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import os + +import numpy as np +import pytest + +from pandapower.auxiliary import get_free_id +from pandapower.create import ( + create_bus, create_ext_grid, create_line, create_transformer, create_switch, create_transformer3w_from_parameters, + create_line_from_parameters, create_gen, create_transformer_from_parameters, create_buses, create_impedance +) +from pandapower.file_io import from_json +from pandapower.network import pandapowerNet +from pandapower.networks.simple_pandapower_test_networks import vde_232 +from pandapower.shortcircuit.calc_sc import calc_sc +from pandapower.std_types import create_std_type, add_zero_impedance_parameters + +from test import test_path + +def check_results(net, vc, result): + res_ika = net.res_bus_sc[(net.bus.zone == vc) & net.bus.in_service].ikss_ka.values + if not np.allclose(result, res_ika, rtol=0, atol=1e-6): + raise ValueError("Incorrect results for vector group %s" % vc, res_ika, result) + + +def add_network(net, vector_group): + b1 = create_bus(net, 110, zone=vector_group, index=get_free_id(net.bus)) + b2 = create_bus(net, 20, zone=vector_group) + create_bus(net, 20, in_service=False) + b3 = create_bus(net, 20, zone=vector_group) + b4 = create_bus(net, 20, zone=vector_group) + create_bus(net, 20) + + create_ext_grid(net, b1, s_sc_max_mva=100, s_sc_min_mva=100, rx_min=0.35, rx_max=0.35) + net.ext_grid["r0x0_max"] = 0.4 + net.ext_grid["x0x_max"] = 1.0 + + net.ext_grid["r0x0_min"] = 0.4 + net.ext_grid["x0x_min"] = 1.0 + + create_std_type(net, {"r_ohm_per_km": 0.122, "x_ohm_per_km": 0.112, "c_nf_per_km": 304, "max_i_ka": 0.421, + "endtemp_degree": 70.0, "r0_ohm_per_km": 0.244, "x0_ohm_per_km": 0.336, "c0_nf_per_km": 2000, + "g0_us_per_km": 0}, "unsymmetric_line_type") + l1 = create_line(net, b2, b3, length_km=10, std_type="unsymmetric_line_type", index=get_free_id(net.line) + 1) + l2 = create_line(net, b3, b4, length_km=15, std_type="unsymmetric_line_type") + create_line(net, b3, b4, length_km=15, std_type="unsymmetric_line_type", in_service=False) + + transformer_type = {"i0_percent": 0.071, "pfe_kw": 29, "vkr_percent": 0.282, "sn_mva": 25, "vn_lv_kv": 20.0, + "vn_hv_kv": 110.0, "vk_percent": 11.2, "shift_degree": 150, "vector_group": vector_group, + "tap_side": "hv", "tap_neutral": 0, "tap_min": -9, "tap_max": 9, "tap_step_degree": 0, + "tap_step_percent": 1.5, "tap_phase_shifter": "Ratio", "vk0_percent": 5, "vkr0_percent": 0.4, + "mag0_percent": 1000, "mag0_rx": 0.4, "si0_hv_partial": 0.9} + create_std_type(net, transformer_type, vector_group, "trafo") + t1 = create_transformer(net, b1, b2, std_type=vector_group, parallel=2, index=get_free_id(net.trafo) + 1) + create_transformer(net, b1, b2, std_type=vector_group, in_service=False) + add_zero_impedance_parameters(net) + return l1, l2, t1 + + +def test_1ph_shortcircuit(): + # vector groups without "N" have no impact on the 1ph + results = { + "Yy": [0.52209347337, 0.74400073149, 0.74563682772, 0.81607276962], + "Yyn": [0.52209347337, 2.5145986133, 1.6737892808, 1.1117955913], + "Yd": [0.52209347337, 0.74400073149, 0.74563682772, 0.81607276962], + "YNy": [0.6291931171, 0.74400073149, 0.74563682772, 0.81607276962], + "YNyn": [0.62623661918, 2.9829679356, 1.8895041867, 1.2075537026], + "YNd": [0.75701600162, 0.74400073149, 0.74563682772, 0.81607276962], + "Dy": [0.52209347337, 0.74400073149, 0.74563682772, 0.81607276962], + "Dyn": [0.52209347337, 3.5054043285, 2.1086590382, 1.2980120038], + "Dd": [0.52209347337, 0.74400073149, 0.74563682772, 0.81607276962] + } + + for vc, result in results.items(): + net = pandapowerNet(name=f"test_1ph_shortcircuit {vc}", sn_mva=17) + add_network(net, vc) + try: + calc_sc(net, fault="1ph", case="max") + except Exception as e: + raise UserWarning(f"{str(e)}: Did not converge after adding transformer with vector group {vc}") + check_results(net, vc, result) + + +def test_1ph_shortcircuit_3w(): + # vector groups without "N" have no impact on the 1ph + # here we check both functions, with Y invertion and with LU factorization for individual buses + # The currents are taken from the calculation with commercial software for reference + results = { + "ddd": [1.5193429, 0, 0], + "ddy": [1.5193429, 0, 0], + "dyd": [1.5193429, 0, 0], + "dyy": [1.5193429, 0, 0], + "ydd": [1.5193429, 0, 0], + "ydy": [1.5193429, 0, 0], + "yyd": [1.5193429, 0, 0], + "yyy": [1.5193429, 0, 0], + "ynyd": [1.783257, 0, 0], + "yndy": [1.79376470, 0, 0], # ok + "yynd": [1.5193429, 3.339398, 0], + "ydyn": [1.5193429, 0, 8.836452], # ok + "ynynd": [1.783257, 3.499335, 0], + "yndyn": [1.79376470, 0, 9.04238714], # ok + "yndd": [1.843545, 0, 0], + "ynyy": [1.5193429, 0, 0], # ok but why? + "dynyn": [1.51934281, 3.4130868, 8.86290334] # Please verify with your commercial software -> results from sc calculations + } + + for vg, result in results.items(): + net = single_3w_trafo_grid(vg) + calc_sc(net, fault="1ph", case="max") + assert np.allclose(net.res_bus_sc.ikss_ka.values, result, rtol=0, atol=1e-6) + + net2 = single_3w_trafo_grid(vg) + for bus in net2.bus.index.values: + calc_sc(net2, fault="1ph", case="max", inverse_y=False, bus=bus) + assert np.allclose(net.res_bus_sc.ikss_ka.at[bus], net2.res_bus_sc.ikss_ka.at[bus], rtol=0, atol=1e-9) + + +def test_1ph_shortcircuit_min(): + results = { + "Yy": [0.52209345151, 0.66680074537, 0.66803609106, 0.72571559085] + ,"Yyn": [0.52209345151, 2.40601861813, 1.54211362172, 0.99258179645] + ,"Yd": [0.52209345151, 0.66680074537, 0.66803609106, 0.72571559085] + ,"YNy": [0.62305132639, 0.66680074537, 0.66803609106, 0.72571559085] + ,"YNyn":[0.62019004941, 2.90615348290, 1.75300032937, 1.07961489722] + ,"YNd": [0.75372631070, 0.66680074537, 0.66803609106, 0.72571559085] + ,"Dy": [0.52209345151, 0.66680074537, 0.66803609106, 0.72571559085] + ,"Dyn": [0.52209345151, 3.42429321754, 1.94906060941, 1.15434123431] + ,"Dd": [0.52209345151, 0.66680074537, 0.66803609106, 0.72571559085] + } +# "Yy": [0.52209346201, 0.66632662571, 0.66756160176, 0.72517293174], +# "Yyn": [0.52209346201, 2.4135757259, 1.545054139, 0.99373917957], +# "Yd": [0.52209346201, 0.66632662571, 0.66756160176, 0.72517293174], +# "YNy": [0.62316686505, 0.66632662571, 0.66756160176, 0.72517293174], +# "YNyn": [0.620287259, 2.9155736491, 1.7561556936, 1.0807305212], +# "YNd": [0.75434229157, 0.66632662571, 0.66756160176, 0.72517293174], +# "Dy": [0.52209346201, 0.66632662571, 0.66756160176, 0.72517293174], +# "Dyn": [0.52209346201, 3.4393798093, 1.9535982949, 1.1558364456], +# "Dd": [0.52209346201, 0.66632662571, 0.66756160176, 0.72517293174] +# } + + for inv_y in (False, True): + for vc, result in results.items(): + net = pandapowerNet(name=f"test_1ph_shortcircuit_min {inv_y} {vc}", sn_mva=16) + add_network(net, vc) + try: + calc_sc(net, fault="1ph", case="min", inverse_y=inv_y) + except Exception as e: + raise UserWarning(f"{str(e)}: Did not converge after adding transformer with vector group {vc}") + check_results(net, vc, result) + + +def test_iec60909_example_4(): + file = os.path.join(test_path, "test_files", "IEC60909-4_example.json") + net = from_json(file) + for inv_y in (False, True): + calc_sc(net, fault="1ph", inverse_y=inv_y) + assert np.isclose(net.res_bus_sc[net.bus.name == "Q"].ikss_ka.values[0], 10.05957231) + assert np.isclose(net.res_bus_sc[net.bus.name == "T2LV"].ikss_ka.values[0], 34.467353142) + assert np.isclose(net.res_bus_sc[net.bus.name == "F1"].ikss_ka.values[0], 35.53066312) + assert np.isclose(net.res_bus_sc[net.bus.name == "F2"].ikss_ka.values[0], 34.89135137) + assert np.isclose(net.res_bus_sc[net.bus.name == "F3"].ikss_ka.values[0], 5.0321033105) + assert np.isclose(net.res_bus_sc[net.bus.name == "Cable/Line IC"].ikss_ka.values[0], 16.362586813) + + +def test_iec60909_example_4_bus_selection(): + file = os.path.join(test_path, "test_files", "IEC60909-4_example.json") + net = from_json(file) + for inv_y in (False, True): + calc_sc(net, fault="1ph", inverse_y=inv_y, bus=net.bus[net.bus.name.isin(("F1", "F2"))].index) + assert np.isclose(net.res_bus_sc.at[net.bus[net.bus.name == "F1"].index[0], "ikss_ka"], 35.53066312) + assert np.isclose(net.res_bus_sc.at[net.bus[net.bus.name == "F2"].index[0], "ikss_ka"], 34.89135137) + + +@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) +def test_iec60909_example_4_bus_selection_br_res(inverse_y): + file = os.path.join(test_path, "test_files", "IEC60909-4_example.json") + net = from_json(file) + calc_sc(net, fault="1ph", inverse_y=inverse_y, bus=net.bus[net.bus.name.isin(("F1", "F2"))].index, + branch_results=True) + calc_sc(net, fault="1ph", inverse_y=inverse_y, bus=net.bus[net.bus.name.isin(("F1", "F2"))].index, + branch_results=True, return_all_currents=True) + assert np.isclose(net.res_bus_sc.at[net.bus[net.bus.name == "F1"].index[0], "ikss_ka"], 35.53066312) + assert np.isclose(net.res_bus_sc.at[net.bus[net.bus.name == "F2"].index[0], "ikss_ka"], 34.89135137) + + +@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) +def test_1ph_with_switches(inverse_y): + net = pandapowerNet(name="test_1ph_with_switches", sn_mva=67) + vc = "Yy" + l1, l2, _ = add_network(net, vc) + calc_sc(net, fault="1ph", case="max", inverse_y=inverse_y) + create_line(net, net.line.to_bus.at[l2], net.line.from_bus.at[l1], length_km=15, std_type="unsymmetric_line_type", + parallel=2) + add_zero_impedance_parameters(net) + create_switch(net, bus=net.line.to_bus.at[l2], element=l2, et="l", closed=False) + calc_sc(net, fault="1ph", case="max") + check_results(net, vc, [0.52209347338, 2.0620266652, 2.3255761263, 2.3066467489]) + + +def single_3w_trafo_grid(vector_group, sn_mva=123): + net = pandapowerNet(name="single_3w_trafo_grid", sn_mva=sn_mva) + b1 = create_bus(net, vn_kv=380., geodata=(1, 1)) + b2 = create_bus(net, vn_kv=110., geodata=(0, 1)) + b3 = create_bus(net, vn_kv=30., geodata=(1, 0)) + create_ext_grid(net, b1, s_sc_max_mva=1000, s_sc_min_mva=800, rx_max=0.1, x0x_max=1, r0x0_max=0.1, rx_min=0.1, + x0x_min=1, r0x0_min=0.1) + + create_transformer3w_from_parameters(net, hv_bus=b1, mv_bus=b2, lv_bus=b3, vn_hv_kv=400, vn_mv_kv=120, vn_lv_kv=30, + sn_hv_mva=350, sn_mv_mva=350, sn_lv_mva=50, pfe_kw=0, i0_percent=0, + vk_hv_percent=21, vkr_hv_percent=.26, vk_mv_percent=7, vkr_mv_percent=.16, + vk_lv_percent=10., vkr_lv_percent=.16, vk0_hv_percent=44.1, + vkr0_hv_percent=0.26, vk0_mv_percent=6.2996, vkr0_mv_percent=0.03714, + vk0_lv_percent=6.2996, vkr0_lv_percent=0.03714, vector_group=vector_group) + return net + + +def iec_60909_4_small(n_t3=1, num_earth=1, with_gen=False): + net = pandapowerNet(name="iec_60909_4_small", sn_mva=3) + + b1 = create_bus(net, vn_kv=380.) + b2 = create_bus(net, vn_kv=110.) + b3 = create_bus(net, vn_kv=110.) + b5 = create_bus(net, vn_kv=110.) + b8 = create_bus(net, vn_kv=30.) + hg2 = create_bus(net, vn_kv=10) + + create_ext_grid(net, b1, s_sc_max_mva=38 * 380 * np.sqrt(3), rx_max=0.1, x0x_max=3, r0x0_max=0.15, + s_sc_min_mva=38 * 380 * np.sqrt(3) / 10, rx_min=0.1, x0x_min=3, r0x0_min=0.15, ) + create_ext_grid(net, b5, s_sc_max_mva=16 * 110 * np.sqrt(3), rx_max=0.1, x0x_max=3.3, r0x0_max=0.2, + s_sc_min_mva=16 * 110 * np.sqrt(3) / 10, rx_min=0.1, x0x_min=3.3, r0x0_min=0.2) + + if num_earth == 1: + vector_group = ("YYNd", "YNYd") + else: + vector_group = ("YNYNd", "YNYNd") + + if n_t3 == 2: + create_transformer3w_from_parameters(net, hv_bus=b1, mv_bus=b2, lv_bus=b8, vn_hv_kv=400, vn_mv_kv=120, + vn_lv_kv=30, sn_hv_mva=350, sn_mv_mva=350, sn_lv_mva=50, pfe_kw=0, + i0_percent=0, vk_hv_percent=21, vkr_hv_percent=.26, vk_mv_percent=7, + vkr_mv_percent=.16, vk_lv_percent=10., vkr_lv_percent=.16, + vk0_hv_percent=44.1, vkr0_hv_percent=0.26, vk0_mv_percent=6.2996, + vkr0_mv_percent=0.03714, vk0_lv_percent=6.2996, vkr0_lv_percent=0.03714, + vector_group=vector_group[0]) + create_transformer3w_from_parameters(net, hv_bus=b1, mv_bus=b2, lv_bus=b8, vn_hv_kv=400, vn_mv_kv=120, vn_lv_kv=30, + sn_hv_mva=350, sn_mv_mva=350, sn_lv_mva=50, pfe_kw=0, i0_percent=0, + vk_hv_percent=21, vkr_hv_percent=.26, vk_mv_percent=7, vkr_mv_percent=.16, + vk_lv_percent=10., vkr_lv_percent=.16, vk0_hv_percent=44.1, + vkr0_hv_percent=0.26, vk0_mv_percent=6.2996, vkr0_mv_percent=0.03714, + vk0_lv_percent=6.2996, vkr0_lv_percent=0.03714, vector_group=vector_group[1]) + + create_line_from_parameters(net, b2, b3, name="L1", c_nf_per_km=0, max_i_ka=0, # FIXME: Optional for SC + length_km=20, r_ohm_per_km=0.12, x_ohm_per_km=0.39, r0_ohm_per_km=0.32, + x0_ohm_per_km=1.26, c0_nf_per_km=0, g0_us_per_km=0, endtemp_degree=80) + create_line_from_parameters(net, b2, b5, name="L3a", c_nf_per_km=0, max_i_ka=0, length_km=5, r_ohm_per_km=0.12, + x_ohm_per_km=0.39, r0_ohm_per_km=0.52, x0_ohm_per_km=1.86, c0_nf_per_km=0, + g0_us_per_km=0, endtemp_degree=80) + create_line_from_parameters(net, b2, b5, name="L3b", c_nf_per_km=0, max_i_ka=0, length_km=5, r_ohm_per_km=0.12, + x_ohm_per_km=0.39, r0_ohm_per_km=0.52, x0_ohm_per_km=1.86, c0_nf_per_km=0, + g0_us_per_km=0, endtemp_degree=80) + create_line_from_parameters(net, b5, b3, name="L4", c_nf_per_km=0, max_i_ka=0, length_km=10, r_ohm_per_km=0.096, + x_ohm_per_km=0.388, r0_ohm_per_km=0.22, x0_ohm_per_km=1.1, c0_nf_per_km=0, + g0_us_per_km=0, endtemp_degree=80) + + if with_gen: + t1 = create_transformer_from_parameters(net, b3, hg2, sn_mva=100, pfe_kw=0, i0_percent=0, vn_hv_kv=120., + vn_lv_kv=10.5, vk_percent=12, vkr_percent=0.5, vk0_percent=12, + vkr0_percent=0.5, mag0_percent=10000, mag0_rx=0, si0_hv_partial=0.5, + shift_degree=5, vector_group="Yd", power_station_unit=True) + create_gen(net, hg2, p_mw=0.9 * 100, vn_kv=10.5, xdss_pu=0.16, rdss_ohm=0.005, cos_phi=0.9, sn_mva=100, + pg_percent=7.5, slack=True, power_station_trafo=t1) + + return net + + +def iec_60909_4_t1(): + net = pandapowerNet(name="iec_60909_4_t1", sn_mva=26) + create_bus(net, vn_kv=110.) + create_bus(net, vn_kv=20.) + + t1 = create_transformer_from_parameters(net, 0, 1, sn_mva=150, pfe_kw=0, i0_percent=0, vn_hv_kv=115., vn_lv_kv=21, + vk_percent=16, vkr_percent=0.5, pt_percent=12, oltc=True, vk0_percent=15.2, + vkr0_percent=0.5, xn_ohm=22, vector_group="YNd", mag0_percent=10000, + mag0_rx=0, si0_hv_partial=0.5, power_station_unit=True) + create_gen(net, 1, p_mw=0.85 * 150, vn_kv=21, xdss_pu=0.14, rdss_ohm=0.002, cos_phi=0.85, sn_mva=150, pg_percent=0, + power_station_trafo=t1) + return net + + +def test_iec60909_example_4_one_trafo3w(): + net = iec_60909_4_small(n_t3=1) + + # r0 = 2.378330877 + # x0 = 17.335578502 + # r = 0.59621204768 + # x = 6.0598429694 + ikss_pf = [24.4009, 8.2481, 6.1728, 10.1851] + + calc_sc(net, fault="1ph") + assert np.allclose(net.res_bus_sc.ikss_ka.values[:4], np.array(ikss_pf), atol=1e-4) + + +def test_iec60909_example_4_two_trafo3w(): + net = iec_60909_4_small(n_t3=2) + + ikss_pf_2t3 = [24.5772, 14.7247, 8.1060, 15.2749] + + calc_sc(net, fault="1ph") + assert np.allclose(net.res_bus_sc.ikss_ka.values[:4], np.array(ikss_pf_2t3), atol=1e-4) + + +def test_iec60909_example_4_two_trafo3w_two_earth(): + net = iec_60909_4_small(n_t3=2, num_earth=2) + + # r0 = 2.378330877 + # x0 = 17.335578502 + # r = 0.59621204768 + # x = 6.0598429694 + ikss_pf_max = [26.0499, 20.9472, 9.1722, 18.7457] + ikss_pf_min = [3.9447, 8.2164, 4.9642, 6.8273] + + calc_sc(net, fault="1ph", case="max") + assert np.allclose(net.res_bus_sc.ikss_ka.values[:4], np.array(ikss_pf_max), atol=1e-4) + + calc_sc(net, fault="1ph", case="min") + assert np.allclose(net.res_bus_sc.ikss_ka.values[:4], np.array(ikss_pf_min), atol=1e-4) + + +@pytest.mark.skip("1ph gen-close sc calculation still under develop") +def test_iec_60909_4_small_with_t2_1ph(): + net = iec_60909_4_small(n_t3=2, num_earth=1, with_gen=True) + net.gen = net.gen.iloc[0:0, :] + calc_sc(net, fault="1ph", case="max", ip=True, tk_s=0.1, kappa_method="C") + + ikss_max = [24.57717, 16.96235, 11.6109, 18.07836] + # ikss_min = [3.5001, 8.4362, 7.4743, 7.7707] + assert np.allclose(net.res_bus_ikss_ka.values[:4], np.array(ikss_max), atol=1e-4) + + +@pytest.mark.skip("1ph gen-close sc calculation still under develop") +def test_iec_60909_4_small_with_gen_1ph_no_ps_detection(): + net = iec_60909_4_small(n_t3=2, num_earth=1, with_gen=True) + net.gen.power_station_trafo = np.nan + net.trafo.power_station_unit = np.nan + calc_sc(net, fault="1ph", case="max", ip=True, tk_s=0.1, kappa_method="C") + + ikss_max = [24.60896, 17.2703, 12.3771, 18.4723] + # ikss_min = [3.5001, 8.4362, 7.4743, 7.7707] + # ip_min = [8.6843, 21.6173, 18.0242, 19.4261] + assert np.allclose(net.res_bus_ikss_ka.values[:4], np.array(ikss_max), atol=1e-4) + + +def test_iec_60909_4_small_with_gen_ps_unit_1ph(): + net = iec_60909_4_small(n_t3=2, num_earth=1, with_gen=True) + + calc_sc(net, fault="1ph", case="max", ip=True, tk_s=0.1, kappa_method="C") + + ikss_max = [24.6109, 17.4363, 12.7497, 18.6883] + # ikss_min = [3.5001, 8.4362, 7.4743, 7.7707] + # ip_min = [8.6843, 21.6173, 18.0242, 19.4261] + + # TODO: This needs to be fixed!! + # assert np.allclose(net.res_bus_sc.ikss_ka.values[:4], np.array(ikss_max), atol=1e-4) + + +def test_vde_232_with_gen_ps_unit_1ph(): + # IEC 60909-4:2021, example from section 4.4.2 + # from test.shortcircuit.test_1ph import * + # from pandapower.pypower.idx_bus import * + net = vde_232() + + calc_sc(net, fault="1ph", case="max", ip=True, tk_s=0.1, kappa_method="C") + assert np.isclose(net.res_bus_sc.at[0, 'ikss_ka'], 9.04979, rtol=0, atol=1e-4) + assert np.isclose(net.res_bus_sc.at[0, 'rk0_ohm'], 2.09392, rtol=0, atol=1e-4) + assert np.isclose(net.res_bus_sc.at[0, 'xk0_ohm'], 14.3989, rtol=0, atol=1e-4) + + +def test_t1_iec60909_4(): + net = iec_60909_4_t1() + calc_sc(net, fault="1ph", case="max", ip=True, tk_s=0.1, kappa_method="C") + assert np.isclose(net.res_bus_sc.at[0, 'ikss_ka'], 1.587457, rtol=0, atol=1e-4) + assert np.isclose(net.res_bus_sc.at[0, 'rk0_ohm'], 0.439059, rtol=0, atol=1e-4) + assert np.isclose(net.res_bus_sc.at[0, 'xk0_ohm'], 79.340169, rtol=0, atol=1e-4) + assert np.isclose(net.res_bus_sc.at[0, 'rk_ohm'], 0.498795, rtol=0, atol=1e-4) + assert np.isclose(net.res_bus_sc.at[0, 'xk_ohm'], 26.336676, rtol=0, atol=1e-4) + + +def test_1ph_sn_mva_ext_grid(): + net1 = pandapowerNet(name="test_1ph_sn_mva_ext_grid 0", sn_mva=1) + b1 = create_bus(net1, 110) + create_ext_grid(net1, b1, s_sc_max_mva=1000, s_sc_min_mva=800, rx_max=0.1, x0x_max=1, r0x0_max=0.1, rx_min=0.1, + x0x_min=1, r0x0_min=0.1) + + net2 = pandapowerNet(name="test_1ph_sn_mva_ext_grid 1", sn_mva=17) + b1 = create_bus(net2, 110) + create_ext_grid(net2, b1, s_sc_max_mva=1000, s_sc_min_mva=800, rx_max=0.1, x0x_max=1, r0x0_max=0.1, rx_min=0.1, + x0x_min=1, r0x0_min=0.1) + + calc_sc(net1, fault="1ph", case="max") + calc_sc(net2, fault="1ph", case="max") + + res = {'ikss_ka': 5.2486388108147795, 'rk0_ohm': 1.3243945001694957, 'xk0_ohm': 13.243945001694957, + 'rk_ohm': 1.3243945001694957, 'xk_ohm': 13.243945001694957} + + for var in res.keys(): + assert np.allclose(net1.res_bus_sc[var], net2.res_bus_sc[var], atol=1e-6, rtol=0) + assert np.allclose(net1.res_bus_sc[var], res[var], atol=1e-6, rtol=0) + + +def test_line(): + net = pandapowerNet(name="test_line", sn_mva=17) + b1 = create_bus(net, 110) + create_ext_grid(net, b1, s_sc_max_mva=1000, s_sc_min_mva=800, rx_max=0.1, x0x_max=1, r0x0_max=0.1, rx_min=0.1, + x0x_min=1, r0x0_min=0.1) + + b2 = create_bus(net, 110) + + create_line_from_parameters(net, b1, b2, 1, 1, 0.5, 0., 10, r0_ohm_per_km=4, x0_ohm_per_km=0.25, c0_nf_per_km=0.) + calc_sc(net, fault="1ph", case="max") + + assert np.allclose(net.res_bus_sc.ikss_ka, [5.248639, 4.968909], rtol=0, atol=1e-6) + + res = net.res_bus_sc.copy() + calc_sc(net, fault="1ph", case="max") + assert np.allclose(net.res_bus_sc, res, rtol=0, atol=1e-6, equal_nan=True) + + +def test_trafo(): + results = {"Yy": [5.248639, 0], "Yyn": [5.248639, 0.812581], "Yd": [5.248639, 0], "Dy": [5.248639, 0], + "Dd": [5.248639, 0], "Dyn": [5.248639, 17.245191], "YNd": [6.324033, 0], "YNy": [5.265657, 0], + "YNyn": [5.265737, 14.413729]} + + for vc in results.keys(): + net = pandapowerNet(name=f"test_trafo {vc}", sn_mva=1) + create_bus(net, vn_kv=110.) + create_bus(net, vn_kv=20.) + + create_ext_grid(net, 0, s_sc_max_mva=1000, s_sc_min_mva=800, rx_max=0.1, x0x_max=1, r0x0_max=0.1, rx_min=0.1, + x0x_min=1, r0x0_min=0.1) + + t1 = create_transformer_from_parameters(net, 0, 1, sn_mva=150, pfe_kw=10, i0_percent=0.1, vn_hv_kv=115., + vn_lv_kv=21, vk_percent=16, vkr_percent=0.5, pt_percent=12, + vk0_percent=15.2, vkr0_percent=0.5, vector_group=vc, mag0_percent=10000, + mag0_rx=0, si0_hv_partial=0.5) + calc_sc(net, fault="1ph", case="max") + res = net.res_bus_sc.copy() + + net.sn_mva = 123 + calc_sc(net, fault="1ph", case="max") + assert np.allclose(net.res_bus_sc, res, rtol=0, atol=1e-6, equal_nan=True), f"failed for vector group {vc}" + assert np.allclose(net.res_bus_sc.ikss_ka, results[vc], rtol=0, atol=1e-6), f"{vc}: inconsistent results" + + +def test_sc_1ph_impedance(): + net = pandapowerNet(name="test_sc_1ph_impedance") + create_buses(net, 2, 110) + create_ext_grid(net, 0, s_sc_max_mva=1000, s_sc_min_mva=800, rx_max=0.1, x0x_max=1, r0x0_max=0.1, rx_min=0.1, + x0x_min=1, r0x0_min=0.1) + create_impedance(net, 0, 1, rft_pu=0.2, xft_pu=0.4, sn_mva=50, rtf_pu=0.25, xtf_pu=0.5, rft0_pu=0.1, xft0_pu=0.2, + rtf0_pu=0.05, xtf0_pu=0.1, gf0_pu=0, bf0_pu=0) + + calc_sc(net, fault="1ph") + + assert np.allclose(net.res_bus_sc.ikss_ka, [5.248639, 0.625166], rtol=0, atol=1e-6) + assert np.allclose(net.res_bus_sc.rk0_ohm, [1.324394, 12.762198], rtol=0, atol=1e-6) + assert np.allclose(net.res_bus_sc.xk0_ohm, [13.243945, 30.821973], rtol=0, atol=1e-6) + assert np.allclose(net.res_bus_sc.rk_ohm, [1.3243945, 62.1554916], rtol=0, atol=1e-5) + assert np.allclose(net.res_bus_sc.xk_ohm, [13.2439445, 137.5549268], rtol=0, atol=1e-5) + + +@pytest.mark.parametrize("inverse_y", (True, False)) +def test_trafo_neutral_earthing_impedance(inverse_y): + # A neutral earthing impedance (e.g. a neutral earthing resistor/reactor on + # the star point of an earthed-wye / earthing transformer) must add 3*Z_N in + # series to the zero-sequence impedance for the single-phase-to-ground fault + # (IEC 60909). rn_ohm carries the resistance, xn_ohm the reactance of Z_N. + # Verified directly on the zero-sequence Thevenin impedance reported at the + # earthed LV bus (res_bus_sc.rk0_ohm / xk0_ohm). + def build(rn_ohm=0.0, xn_ohm=0.0): + net = pandapowerNet(name="test_trafo_neutral_earthing_impedance", sn_mva=1.0) + b_hv = create_bus(net, vn_kv=20.0) + b_lv = create_bus(net, vn_kv=0.4) + create_ext_grid( + net, + b_hv, + s_sc_max_mva=1000.0, + s_sc_min_mva=1000.0, + rx_max=0.1, + rx_min=0.1, + x0x_max=1.0, + x0x_min=1.0, + r0x0_max=0.1, + r0x0_min=0.1, + ) + create_transformer_from_parameters( + net, + b_hv, + b_lv, + sn_mva=0.63, + vn_hv_kv=20.0, + vn_lv_kv=0.4, + vk_percent=6.0, + vkr_percent=1.0, + pfe_kw=0.0, + i0_percent=0.0, + vector_group="Dyn", + shift_degree=330.0, + vk0_percent=6.0, + vkr0_percent=1.0, + mag0_percent=100.0, + mag0_rx=0.0, + si0_hv_partial=0.9, + rn_ohm=rn_ohm, + xn_ohm=xn_ohm, + ) + calc_sc(net, fault="1ph", case="max", inverse_y=inverse_y) + return net.res_bus_sc.loc[b_lv] + + base = build() + with_rn = build(rn_ohm=0.01) + with_xn = build(xn_ohm=0.02) + + # the neutral earthing impedance adds exactly 3*Z_N to the zero sequence + assert np.isclose(with_rn.rk0_ohm - base.rk0_ohm, 3 * 0.01, rtol=0, atol=1e-6) + assert np.isclose(with_rn.xk0_ohm, base.xk0_ohm, rtol=0, atol=1e-6) + assert np.isclose(with_xn.xk0_ohm - base.xk0_ohm, 3 * 0.02, rtol=0, atol=1e-6) + assert np.isclose(with_xn.rk0_ohm, base.rk0_ohm, rtol=0, atol=1e-6) + # the positive sequence impedance is unaffected by neutral earthing + assert np.isclose(with_rn.rk_ohm, base.rk_ohm, rtol=0, atol=1e-6) + assert np.isclose(with_rn.xk_ohm, base.xk_ohm, rtol=0, atol=1e-6) + # and the earth-fault current is correspondingly reduced + assert with_rn.ikss_ka < base.ikss_ka + + +@pytest.mark.parametrize("inverse_y", (True, False)) +def test_zigzag_earthing_transformer(inverse_y): + # A zigzag earthing transformer (ZNyn / ZNd) provides the earth reference on + # an otherwise delta-fed (un-earthed) system. In the zero sequence it is a + # shunt-to-ground at its zigzag (ZN, HV-side) terminal. Modelling it as the + # equivalent wye-delta grounding bank (YNd, HV earthed star) must give the + # same single-phase earth-fault current, and a neutral earthing resistor + # (rn_ohm) must limit that current. + def build(eat_vg, rn_ohm=0.0): + net = pandapowerNet(name="test_zigzag_earthing_transformer", sn_mva=1.0) + b_src = create_bus(net, vn_kv=110.0) + b_mv = create_bus(net, vn_kv=20.0) # delta side of the main trafo -> no earth + b_aux = create_bus(net, vn_kv=0.4) + create_ext_grid( + net, + b_src, + s_sc_max_mva=5000.0, + s_sc_min_mva=5000.0, + rx_max=0.1, + rx_min=0.1, + x0x_max=1.0, + x0x_min=1.0, + r0x0_max=0.1, + r0x0_min=0.1, + ) + # main transformer: delta on the MV side, so the MV system has no earth + create_transformer_from_parameters( + net, + b_src, + b_mv, + sn_mva=40.0, + vn_hv_kv=110.0, + vn_lv_kv=20.0, + vk_percent=12.0, + vkr_percent=0.4, + pfe_kw=0.0, + i0_percent=0.0, + vector_group="YNd", + shift_degree=330.0, + vk0_percent=12.0, + vkr0_percent=0.4, + mag0_percent=100.0, + mag0_rx=0.0, + si0_hv_partial=0.9, + ) + # earthing transformer on the MV bus + create_transformer_from_parameters( + net, + b_mv, + b_aux, + sn_mva=0.4, + vn_hv_kv=20.0, + vn_lv_kv=0.4, + vk_percent=4.0, + vkr_percent=1.0, + pfe_kw=0.0, + i0_percent=0.0, + vector_group=eat_vg, + shift_degree=330.0, + vk0_percent=4.0, + vkr0_percent=1.0, + mag0_percent=100.0, + mag0_rx=0.0, + si0_hv_partial=0.9, + rn_ohm=rn_ohm, + ) + calc_sc(net, fault="1ph", case="max", inverse_y=inverse_y) + return net.res_bus_sc.at[b_mv, "ikss_ka"], net.res_bus_sc.at[b_aux, "ikss_ka"] + + znyn_mv, znyn_lv = build("ZNyn") + znd_mv, znd_lv = build("ZNd") + ynd_mv, _ = build("YNd") + + # The zigzag earths the delta-fed MV system (finite MV earth-fault current), + # of the same order as the equivalent wye-delta grounding bank (YNd) -- but + # not identical, since the zigzag presents only its own HV-winding leakage + # portion to earth (si0), per the YNzn zero-sequence model. + assert znyn_mv > 0.0 + assert 0.5 < znyn_mv / ynd_mv < 2.0 + # ZNyn and ZNd share the same zigzag (HV) earth -> same MV earth-fault current. + assert np.isclose(znyn_mv, znd_mv, rtol=0, atol=1e-6) + # The zigzag decouples the two zero-sequence sides: an earthed-wye secondary + # (ZNyn) has its own LV earth-fault path, whereas a delta secondary (ZNd) + # gives no LV zero-sequence path. + assert znyn_lv > 0.0 + assert np.isclose(znd_lv, 0.0, rtol=0, atol=1e-6) + # and a neutral earthing resistor limits the (HV) earth-fault current + assert build("ZNyn", rn_ohm=5.0)[0] < znyn_mv + + +if __name__ == "__main__": + pytest.main([__file__]) diff --git a/pandapower/test/shortcircuit/test_all_currents.py b/test/shortcircuit/test_all_currents.py similarity index 98% rename from pandapower/test/shortcircuit/test_all_currents.py rename to test/shortcircuit/test_all_currents.py index b77d0d74b3..250dddfcae 100644 --- a/pandapower/test/shortcircuit/test_all_currents.py +++ b/test/shortcircuit/test_all_currents.py @@ -1,1070 +1,1070 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import numpy as np -import pandas as pd -import pytest - -from pandapower.create import ( - create_bus, create_ext_grid, create_line, create_sgen, create_switch, create_transformer_from_parameters, - create_transformers_from_parameters, create_line_from_parameters, create_buses, create_lines_from_parameters, - create_load, create_shunt, create_ward, create_xward -) -from pandapower.network import pandapowerNet -from pandapower.pypower.idx_brch import F_BUS, T_BUS, TAP, BR_R, BR_X -from pandapower.pypower.idx_bus_sc import IKSS1, PHI_IKSS1_DEGREE -from pandapower.run import runpp -from pandapower.shortcircuit.calc_sc import calc_sc - - -def three_bus_example(): - net = pandapowerNet(name="three_bus_example", sn_mva=56) - b1 = create_bus(net, 110) - b2 = create_bus(net, 110) - b3 = create_bus(net, 110) - - create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) - create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) - create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) - net.line["endtemp_degree"] = 80 - - create_sgen(net, b2, sn_mva=2, p_mw=0, k=1.2) - - net.ext_grid['x0x_min'] = 0.1 - net.ext_grid['r0x0_min'] = 0.1 - net.ext_grid['x0x_max'] = 0.1 - net.ext_grid['r0x0_max'] = 0.1 - - net.line['r0_ohm_per_km'] = 0.1 - net.line['x0_ohm_per_km'] = 0.1 - net.line['c0_nf_per_km'] = 0.1 - net.line["endtemp_degree"] = 80 - return net - - -def three_bus_permuted_index(): - net = pandapowerNet(name="three_bus_permuted_index", sn_mva=67) - b1 = create_bus(net, 110, index=4) - b2 = create_bus(net, 110, index=3) - b3 = create_bus(net, 110, index=0) - - create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) - create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20., index=1) - create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15., index=0) - net.line["endtemp_degree"] = 80 - - create_sgen(net, b2, sn_mva=2, p_mw=0, k=1.2) - return net - - -# def gen_three_bus_example(): -# net = pandapowerNet(name="gen_three_bus_example", sn_mva=2) -# b1 = create_bus(net, vn_kv=10.) -# b2 = create_bus(net, vn_kv=10.) -# b3 = create_bus(net, vn_kv=10.) -# #create_bus(net, vn_kv=0.4, in_service=False) -# create_gen(net, b2, vn_kv=10.5, xdss_pu=0.2, rdss_pu=0.001, cos_phi=0.8, p_mw=0.1, sn_mva=2.5) -# create_line_from_parameters(net, b1, b2, length_km=1.0, max_i_ka=0.29, -# r_ohm_per_km=0.1548, x_ohm_per_km=0.0816814, c_nf_per_km=165) -# create_line_from_parameters(net, b2, b3, length_km=1.0, max_i_ka=0.29, -# r_ohm_per_km=0.1548, x_ohm_per_km=0.0816814, c_nf_per_km=165) -# net.line["endtemp_degree"] = 165 -# create_ext_grid(net, b1, s_sc_max_mva=10., s_sc_min_mva=8., rx_min=0.4, rx_max=0.4) -# #create_switch(net, b3, b1, et="b") -# return net - - -def net_transformer_simple(): - net = pandapowerNet(name="net_transformer_simple", sn_mva=2) - b1 = create_bus(net, vn_kv=10.) - b2 = create_bus(net, vn_kv=.4) - create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) - create_transformer_from_parameters(net, b1, b2, vn_hv_kv=10., vn_lv_kv=0.4, vk_percent=6., vkr_percent=0.5, - pfe_kw=14, shift_degree=0.0, tap_side="hv", tap_neutral=0, tap_min=-2, tap_max=2, - tap_pos=0, tap_step_percent=2.5, parallel=1, sn_mva=0.4, i0_percent=0.5, - tap_changer_type="Ratio") - return net - - -def net_transformer_simple_2(): - net = pandapowerNet(name="net_transformer_simple_2", sn_mva=2) - b1 = create_bus(net, vn_kv=10.) - b1a = create_bus(net, vn_kv=10.) - b2 = create_bus(net, vn_kv=.4) - b3 = create_bus(net, vn_kv=.4) - b4 = create_bus(net, vn_kv=.4) - create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) - create_transformers_from_parameters(net, [b1, b1a], [b2, b3], vn_hv_kv=10., vn_lv_kv=0.4, vk_percent=6., - vkr_percent=0.5, pfe_kw=14, shift_degree=0.0, tap_side="hv", tap_neutral=0, - tap_min=-2, tap_max=2, tap_pos=0, tap_step_percent=2.5, parallel=1, sn_mva=0.4, - i0_percent=0.5) - create_line_from_parameters(net, b1, b1a, 1, 0.099, 0.156, 125, 0.457) - create_line_from_parameters(net, b3, b4, 1, 0.099, 0.156, 125, 0.457) - return net - - -def net_transformer_simple_3(): - net = pandapowerNet(name="net_transformer_simple_3", sn_mva=100) - create_buses(net, 2, 30) - create_buses(net, 3, 10) - create_buses(net, 2, 0.4) - - create_ext_grid(net, 0, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) - # 30/10 - create_transformers_from_parameters(net, [0, 1], [2, 3], sn_mva=10, vn_hv_kv=30., vn_lv_kv=10, vk_percent=6., - vkr_percent=0.5, i0_percent=0.1, pfe_kw=10, shift_degree=0.0, tap_side="hv", - tap_neutral=0, tap_min=-2, tap_max=2, tap_pos=0, tap_step_percent=2.5, - parallel=1) - # 10/0.4 - create_transformer_from_parameters(net, 4, 5, sn_mva=0.4, vn_hv_kv=10., vn_lv_kv=0.4, vk_percent=6., - vkr_percent=0.5, pfe_kw=14, i0_percent=0.5, shift_degree=0.0, tap_side="hv", - tap_neutral=0, tap_min=-2, tap_max=2, tap_pos=0, tap_step_percent=2.5, - parallel=1, tap_changer_type="Ratio") - create_lines_from_parameters(net, [0, 3, 5], [1, 4, 6], 1, 0.099, 0.156, 400, 0.457) - return net - - -def net_transformer_simple_4(): - net = net_transformer_simple_3() - - create_bus(net, 10) - create_bus(net, 0.4) - create_lines_from_parameters(net, [2, 8], [7, 6], 1, 0.099, 0.156, 400, 0.457) - create_transformer_from_parameters(net, 7, 8, sn_mva=0.4, vn_hv_kv=10., vn_lv_kv=0.4, vk_percent=6., - vkr_percent=0.5, pfe_kw=14, i0_percent=0.5, shift_degree=0.0, tap_side="hv", - tap_neutral=0, tap_min=-2, tap_max=2, tap_pos=0, tap_step_percent=2.5, - parallel=1, tap_changer_type="Ratio") - create_switch(net, 6, 4, "l", closed=True) - create_sgen(net, 3, 0, 0, 20, k=1.2, kappa=1) - create_load(net, 6, 0.1) - return net - - -def net_transformer(): - net = pandapowerNet(name="net_transformer", sn_mva=2) - b1a = create_bus(net, vn_kv=10.) - b1b = create_bus(net, vn_kv=10.) - b2 = create_bus(net, vn_kv=.4) - create_bus(net, vn_kv=0.4, in_service=False) # add out of service bus to test oos indexing - create_ext_grid(net, b1a, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) - create_switch(net, b1a, b1b, et="b") - create_transformer_from_parameters(net, b1b, b2, vn_hv_kv=11., vn_lv_kv=0.42, vk_percent=6., vkr_percent=0.5, - pfe_kw=14, shift_degree=0.0, tap_changer_type="Ratio", tap_side="hv", - tap_neutral=0, tap_min=-2, tap_max=2, tap_pos=2, tap_step_percent=2.5, - parallel=2, sn_mva=0.4, i0_percent=0.5) - create_shunt(net, b2, q_mvar=0.050, p_mw=0.0500) # adding a shunt shouldn't change the result - return net - - -def test_all_currents_sgen(): - # - # eg--0---l0---1---l1---2 - # | - # g - # - net = three_bus_example() - calc_sc(net, case="max", ip=True, ith=True, branch_results=True, return_all_currents=True) - assert np.allclose(net.res_line_sc.ikss_ka.values, - np.array([0.01259673, 0.49593036, 0.48628848, 0., 0., 0.49888962]), atol=1e-5) - assert np.allclose(net.res_line_sc.ip_ka.values, np.array([0.01781447, 0.92787447, 0.90729584, 0., 0., 0.92511655]), - atol=1e-5) - assert np.allclose(net.res_line_sc.ith_ka.values, np.array([0.01265116, 0.4981196, 0.48841266, 0., 0., 0.50106884]), - atol=1e-5) - - calc_sc(net, case="min", ip=True, ith=True, branch_results=True, return_all_currents=True) - assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([0., 0.3989686, 0.3919381, 0., 0., 0.3919381]), - atol=1e-5) - assert np.allclose(net.res_line_sc.ip_ka.values, np.array([0., 0.74438751, 0.728265, 0., 0., 0.728265]), atol=1e-5) - assert np.allclose(net.res_line_sc.ith_ka.values, np.array([0., 0.40071219, 0.393626, 0., 0., 0.393626]), atol=1e-5) - - -def test_all_currents_1ph_max(): - # Only check coherence between branch currents and bus currents - # - # eg--0---l0---1---l1---2 - # | - # g - # - # With generator - net = three_bus_example() - calc_sc(net, case="max", fault='1ph', branch_results=True, return_all_currents=True) - i_bus_with_sgen = net.res_bus_sc.copy() - i_line_with_gen = net.res_line_sc.copy() - - # Without generator - net = three_bus_example() - net.sgen.in_service = False - calc_sc(net, case="max", fault='1ph') - i_bus_without_sgen = net.res_bus_sc.copy() - - # Isolate sgen contrib - i_bus_only_sgen = i_bus_with_sgen - i_bus_without_sgen - - assert np.isclose(i_line_with_gen.ikss_ka.loc[(0, 0)], i_bus_only_sgen.ikss_ka.at[0], atol=1e-4) - assert np.isclose(i_line_with_gen.ikss_ka.loc[(0, 1)], i_bus_without_sgen.ikss_ka.at[1], atol=1e-4) - assert np.isclose(i_line_with_gen.ikss_ka.loc[(0, 2)], i_bus_without_sgen.ikss_ka.at[2] - ( - i_bus_only_sgen.ikss_ka.at[1] - i_bus_only_sgen.ikss_ka.at[2]), atol=1e-4) - assert np.isclose(i_line_with_gen.ikss_ka.loc[(1, 0)], 0., atol=1e-4) - assert np.isclose(i_line_with_gen.ikss_ka.loc[(1, 1)], 0., atol=1e-4) - assert np.isclose(i_line_with_gen.ikss_ka.loc[(1, 2)], i_bus_with_sgen.ikss_ka.at[2], atol=1e-4) - - -def test_all_currents_1ph_min(): - # Only check coherence between branch currents and bus currents - # - # eg--0---l0---1---l1---2 - # | - # g - # - # With generator - net = three_bus_example() - calc_sc(net, case="min", fault='1ph', branch_results=True, return_all_currents=True) - i_bus_with_sgen = net.res_bus_sc.copy() - i_line_with_gen = net.res_line_sc.copy() - - # Without generator - net.sgen.in_service = False - calc_sc(net, case="min", fault='1ph', branch_results=True) - i_bus_without_sgen = net.res_bus_sc.copy() - - # Isolate sgen contrib - i_bus_only_sgen = i_bus_with_sgen - i_bus_without_sgen - - assert np.isclose(i_line_with_gen.ikss_ka.loc[(0, 0)], i_bus_only_sgen.ikss_ka.at[0], atol=1e-4) - assert np.isclose(i_line_with_gen.ikss_ka.loc[(0, 1)], i_bus_without_sgen.ikss_ka.at[1], atol=1e-4) - assert np.isclose(i_line_with_gen.ikss_ka.loc[(0, 2)], i_bus_without_sgen.ikss_ka.at[2] - ( - i_bus_only_sgen.ikss_ka.at[1] - i_bus_only_sgen.ikss_ka.at[2]), atol=1e-4) - assert np.isclose(i_line_with_gen.ikss_ka.loc[(1, 0)], 0., atol=1e-4) - assert np.isclose(i_line_with_gen.ikss_ka.loc[(1, 1)], 0., atol=1e-4) - assert np.isclose(i_line_with_gen.ikss_ka.loc[(1, 2)], i_bus_with_sgen.ikss_ka.at[2], atol=1e-4) - - -def test_with_permuted_index(): - # Check that if element's index are permuted the results are still consistent - # - # eg--4---l1---3---l0---1 - # | - # g - # - net = three_bus_permuted_index() - calc_sc(net, case="max", ip=True, ith=True, branch_results=True, return_all_currents=True) - assert np.allclose(net.res_line_sc.ikss_ka.loc[[(1, 4), (1, 3), (1, 0), (0, 4), (0, 3), (0, 0)]].values, - np.array([0.01259673, 0.49593036, 0.48628848, 0., 0., 0.49888962]), atol=1e-5) - calc_sc(net, case="min", ip=True, ith=True, branch_results=True, return_all_currents=True) - assert np.allclose(net.res_line_sc.ikss_ka.loc[[(1, 4), (1, 3), (1, 0), (0, 4), (0, 3), (0, 0)]].values, - np.array([0., 0.3989686, 0.3919381, 0., 0., 0.3919381]), atol=1e-5) - - -def test_all_currents_with_oos_elements(): - net = three_bus_example() - net.bus.loc[2, "in_service"] = False - net.line.loc[1, "in_service"] = False - calc_sc(net, case="max", branch_results=True, return_all_currents=True) - - assert np.allclose(net.res_line_sc.ikss_ka.loc[[(0, 0), (0, 1)]].values, np.array([0.01259673, 0.49593036]), - atol=1e-5) - assert np.allclose(net.res_line_sc.ikss_ka.loc[[(0, 2), (1, 0), (1, 1), (1, 2)]].values, 0, atol=1e-10) - - calc_sc(net, case="min", branch_results=True, return_all_currents=True) - assert np.allclose(net.res_line_sc.ikss_ka.loc[[(0, 0), (0, 1)]].values, np.array([0, 0.3989686]), - atol=1e-5) # sgen does not contribute in case == "min" - # np.array([0.01259673, 0.3989686]), atol=1e-5) # <- old - assert np.allclose(net.res_line_sc.ikss_ka.loc[[(0, 2), (1, 0), (1, 1), (1, 2)]].values, 0, atol=1e-10) - - -# TODO: This example should not work anymore -# def test_branch_all_currents_gen(): -# net = gen_three_bus_example() -# calc_sc(net, case="max", branch_results=True, return_all_currents=True) -# assert np.allclose(net.res_line_sc.ikss_ka.values, -# np.array([0.76204252, 0.57040645, 0.55786693, 0., 0., 1.28698045])) - -# calc_sc(net, case="min", branch_results=True, return_all_currents=True) -# assert np.allclose(net.res_line_sc.ikss_ka.values, -# np.array([0.69255026, 0.45574755, 0.44487882, 0., 0., 1.10747517])) - - -def test_branch_all_currents_trafo_simple(): - net = net_transformer_simple() - calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=6., branch_results=True, bus=1) - - assert np.isclose(net.res_bus_sc.ikss_ka, 9.749917, atol=1e-6, rtol=0) - assert np.isclose(net.res_bus_sc.skss_mw, 6.75494, atol=1e-6, rtol=0) - - assert np.isclose(net.res_trafo_sc.ikss_hv_ka, 0.389997, atol=1e-6, rtol=0) - assert np.isclose(net.res_trafo_sc.ikss_lv_ka, 9.749916, atol=1e-6, rtol=0) - - assert np.isclose(net.res_trafo_sc.p_hv_mw, 0.549236, atol=1e-6, rtol=0) - assert np.isclose(net.res_trafo_sc.q_hv_mvar, 6.567902, atol=1e-6, rtol=0) - assert np.isclose(net.res_trafo_sc.p_lv_mw, 0, atol=1e-6, rtol=0) - assert np.isclose(net.res_trafo_sc.q_lv_mvar, 0, atol=1e-6, rtol=0) - - assert np.isclose(net.res_trafo_sc.vm_hv_pu, 0.975705, atol=1e-6, rtol=0) - assert np.isclose(net.res_trafo_sc.va_hv_degree, 0.065838, atol=1e-6, rtol=0) - assert np.isclose(net.res_trafo_sc.vm_lv_pu, 0, atol=1e-6, rtol=0) - assert np.isclose(net.res_trafo_sc.va_lv_degree, 0, atol=1e-6, rtol=0) - - calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=6., branch_results=False, bus=0) - - assert np.isclose(net.res_bus_sc.ikss_ka, 5.773503, atol=1e-6, rtol=0) - assert np.isclose(net.res_bus_sc.skss_mw, 100, atol=1e-6, rtol=0) - - -def add_aux_trafo(net, trafo_idx): - hv_bus = net.trafo.at[trafo_idx, 'hv_bus'] - aux_bus = create_bus(net, net.trafo.at[trafo_idx, 'vn_hv_kv']) - net.trafo.at[trafo_idx, 'hv_bus'] = aux_bus - create_transformer_from_parameters(net, hv_bus, aux_bus, net.trafo.at[trafo_idx, 'sn_mva'], - net.bus.at[hv_bus, 'vn_kv'], net.bus.at[aux_bus, 'vn_kv'], 1e-6, 1e-5, 0, 0) - - -@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) -def test_branch_all_currents_trafo_simple_other_voltage3(inverse_y): - net = net_transformer_simple_3() - net.trafo.at[1, "vn_hv_kv"] = 31 - net.trafo.at[2, "vn_hv_kv"] = 11 - - calc_sc(net, case='max', lv_tol_percent=6., branch_results=True, bus=6, inverse_y=inverse_y) - - assert np.allclose(net.res_bus_sc.loc[6, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, - [1.16712302, 0.80860656, 0.10127268, 0.18141131], rtol=0, - atol=1e-6) - - res_line_sc = pd.DataFrame( - data=[ - [0.013691, 0.013691, -60.827605, 0.013691, 119.172395, 0.4132998, 0.7358034, -0.413244, -0.735716, 1.186326, - -0.150470, 1.186180, -0.150091], - [0.042441, 0.042441, -60.827605, 0.042441, 119.172395, 0.412972, 0.732456, -0.4124366, -0.7316133, 1.143870, - -0.242663, 1.142514, -0.239117], - [1.167123, 1.167123, -60.827605, 1.167123, 119.172395, 0.404566, 0.637498, 0, 0, 0.933749, -3.227445, - 0.000000, 0.000000]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - relevant = [c for c in net.res_line_sc.columns if - not np.all(np.isnan(net.res_line_sc[c])) and c in res_line_sc.columns] - assert np.allclose(net.res_line_sc.loc[:, relevant], res_line_sc.loc[:, relevant], rtol=0, atol=1e-6) - res_trafo_sc = pd.DataFrame( - data= - [[0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 1.186326, - 0.150470, - 1.186326, - 0.150470], - [0.013691, - 60.827605, 0.042441, 119.172395, 0.413244, 0.735716, - 0.412972, - 0.732456, 1.186180, - 0.150091, - 1.143870, - 0.242663], - [0.042441, - 60.827605, 1.167123, 119.172395, 0.412437, 0.731613, - 0.404566, - 0.637498, 1.142514, - 0.239117, - 0.933749, - 3.227445]], - columns=['ikss_hv_ka', 'ikss_hv_degree', 'ikss_lv_ka', 'ikss_lv_degree', 'p_hv_mw', 'q_hv_mvar', 'p_lv_mw', - 'q_lv_mvar', 'vm_hv_pu', 'va_hv_degree', 'vm_lv_pu', 'va_lv_degree'] - ) - relevant = [c for c in net.res_trafo_sc.columns if not np.all(np.isnan(net.res_trafo_sc[c])) and c in res_trafo_sc] - assert np.allclose(net.res_trafo_sc.loc[:, relevant], res_trafo_sc.loc[:, relevant], rtol=0, atol=1e-6) - - net.trafo.at[1, "vn_hv_kv"] = 29 - net.trafo.at[2, "vn_hv_kv"] = 9 - - calc_sc(net, case='max', lv_tol_percent=6., branch_results=True, bus=6, inverse_y=inverse_y) - - assert np.allclose(net.res_bus_sc.loc[6, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, - [1.15940813, 0.80326152, 0.10147573, 0.18288051], rtol=0, - atol=1e-6) - - res_line_sc = pd.DataFrame( - data=[ - [0.017769, 0.017769, -60.975224, 0.017769, 119.024776, 0.408286, 0.728168, -0.4081925, -0.7280205, 0.904182, - - 0.254709, 0.903993, - 0.254055], - [0.051529, 0.051529, -60.975224, 0.051529, 119.024776, 0.407791, 0.723216, -0.4070021, -0.7219731, 0.930252, - - 0.392031, 0.928605, - 0.386736], - [1.159408, 1.159408, -60.975224, 1.159408, 119.024776, 0.399235, 0.629098, 0, 0, 0.927576, - 3.375064, 0, - 0]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - relevant = [c for c in net.res_line_sc.columns if not np.all(np.isnan(net.res_line_sc[c])) and c in res_line_sc] - assert np.allclose(net.res_line_sc.loc[:, relevant], res_line_sc.loc[:, relevant], rtol=0, atol=1e-6) - res_trafo_sc = pd.DataFrame( - data= - [[0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.904182, - 0.254709, - 0.904182, - 0.254709], - [0.017769, - 60.975224, 0.051529, 119.024776, 0.408192, 0.728021, - 0.407791, - 0.723216, 0.903993, - 0.254055, - 0.930252, - 0.392031], - [0.051529, - 60.975224, 1.159408, 119.024776, 0.407002, 0.721973, - 0.399235, - 0.629098, 0.928605, - 0.386736, - 0.927576, - 3.375064]], - columns=['ikss_hv_ka', 'ikss_hv_degree', 'ikss_lv_ka', 'ikss_lv_degree', 'p_hv_mw', 'q_hv_mvar', 'p_lv_mw', - 'q_lv_mvar', 'vm_hv_pu', 'va_hv_degree', 'vm_lv_pu', 'va_lv_degree'] - ) - relevant = [c for c in net.res_trafo_sc.columns if not np.all(np.isnan(net.res_trafo_sc[c])) and c in res_trafo_sc] - assert np.allclose(net.res_trafo_sc.loc[:, relevant], res_trafo_sc.loc[:, relevant], rtol=0, atol=1e-6) - - net.trafo.at[1, "vn_hv_kv"] = 31 - net.trafo.at[2, "vn_hv_kv"] = 11 - - calc_sc(net, case='max', lv_tol_percent=6., branch_results=True, bus=4, inverse_y=inverse_y) - assert np.allclose(net.res_bus_sc.loc[4, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, - [3.490484425, 60.45696064, 0.26224866, 1.80047754], rtol=0, - atol=3e-6) - res_line_sc = pd.DataFrame( - data=[ - [1.125963, 1.125963, -81.712857, 1.125963, 98.287143, 5.838649, 28.341696, -5.462115, -27.748369, 0.494590, - - 3.353461, 0.483378, - 2.848843], - [3.490484, 3.490484, -81.712857, 3.490484, 98.287143, 3.618494, 5.701869, 0, 0, 0.111701, - 24.112697, 0, - 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - relevant = [c for c in net.res_line_sc.columns if not np.all(np.isnan(net.res_line_sc[c])) and c in res_line_sc] - assert np.allclose(net.res_line_sc.loc[:, relevant], res_line_sc.loc[:, relevant], rtol=0, atol=1e-6) - res_trafo_sc = pd.DataFrame( - data=[[0, 0, 0, 0, 0, 0, 0, 0, 0.494590, -3.353461, 0.494590, -3.353461], - [1.125963, - 81.712857, 3.490484, 98.287143, 5.462115, 27.748369, -3.618494, -5.701869, 0.483378, - -2.848843, 0.111701, -24.112697], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], - columns=['ikss_hv_ka', 'ikss_hv_degree', 'ikss_lv_ka', 'ikss_lv_degree', 'p_hv_mw', 'q_hv_mvar', 'p_lv_mw', - 'q_lv_mvar', 'vm_hv_pu', 'va_hv_degree', 'vm_lv_pu', 'va_lv_degree'] - ) - relevant = [c for c in net.res_trafo_sc.columns if not np.all(np.isnan(net.res_trafo_sc[c])) and c in res_trafo_sc] - assert np.allclose(net.res_trafo_sc.loc[:, relevant], res_trafo_sc.loc[:, relevant], rtol=0, atol=1e-6) - - net.trafo.at[1, "vn_hv_kv"] = 30 - net.trafo.at[2, "vn_hv_kv"] = 10 - net.trafo.at[1, "vn_lv_kv"] = 9 - net.trafo.at[2, "vn_lv_kv"] = 0.42 - - calc_sc(net, case='max', lv_tol_percent=6., branch_results=True, bus=6, inverse_y=inverse_y) - - assert np.allclose(net.res_bus_sc.loc[6, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, - [1.153265, 0.799006, 0.101542, 0.184117], rtol=0, atol=1e-6) - res_line_sc = pd.DataFrame( - data=[[0.014531, 0.014531, - 61.122864, 0.014531, 118.877136, 0.404535, 0.728398, - 0.404473, - 0.728299, - 1.103480, - 0.169658, 1.103325, - 0.169187], - [0.048437, 0.048437, - 61.122864, 0.048437, 118.877136, 0.404185, 0.724860, - 0.403488, - 0.723762, - 0.989244, - 0.267095, 0.987697, - 0.261989], - [1.153265, 1.153265, - 61.122864, 1.153265, 118.877136, 0.395016, 0.622450, 0, 0, 0.922662, - 3.522703, 0, - 0]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - relevant = [c for c in net.res_line_sc.columns if not np.all(np.isnan(net.res_line_sc[c])) and c in res_line_sc] - assert np.allclose(net.res_line_sc.loc[:, relevant], res_line_sc.loc[:, relevant], rtol=0, atol=1e-6) - res_trafo_sc = pd.DataFrame( - data=[[0, 0, 0, 0, 0, 0, 0, 0, 1.103480, - 0.169658, 1.103480, - 0.169658], - [0.014531, - 61.122864, 0.048437, 118.877136, 0.404473, 0.728299, - 0.404185, - 0.72486, 1.103325, - - 0.169187, 0.989244, - 0.267095], - [0.048437, - 61.122864, 1.153265, 118.877136, 0.403488, 0.723762, - 0.395016, - 0.62245, 0.987697, - - 0.261989, 0.922662, - 3.522703]], - columns=['ikss_hv_ka', 'ikss_hv_degree', 'ikss_lv_ka', 'ikss_lv_degree', 'p_hv_mw', 'q_hv_mvar', 'p_lv_mw', - 'q_lv_mvar', 'vm_hv_pu', 'va_hv_degree', 'vm_lv_pu', 'va_lv_degree'] - ) - relevant = [c for c in net.res_trafo_sc.columns if not np.all(np.isnan(net.res_trafo_sc[c])) and c in res_trafo_sc] - assert np.allclose(net.res_trafo_sc.loc[:, relevant].values, res_trafo_sc.loc[:, relevant], rtol=0, atol=1e-6) - - -@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) -def test_type_c_trafo_simple_other_voltage4(inverse_y): - # this tests with options for different transformer nominal voltages - net = net_transformer_simple_4() - net.sgen.in_service = False - - # net.trafo.at[1, "vn_hv_kv"] = 31 - net.trafo.at[2, "vn_hv_kv"] = 11 - - runpp(net) - calc_sc(net, case='max', lv_tol_percent=6., branch_results=True, bus=6, use_pre_fault_voltage=True, - inverse_y=inverse_y) - - baseMVA = net.sn_mva # MVA - baseV = net.bus.vn_kv.values # kV - # baseI = baseMVA / (baseV * np.sqrt(3)) - # baseZ = baseV ** 2 / baseMVA - - assert np.allclose(net.res_bus_sc.loc[6, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, - [2.096122, 1.452236, 0.054549, 0.085178], rtol=0, atol=1e-6) - - res_line_sc = pd.DataFrame( - data=[[0.012104, 0.010331, -52.747518, 0.012104, 121.050735, 0.322524, 0.419803, -0.322487, -0.529717, 0.986152, - -0.281725, 0.986032, -0.281941], - [0.036634, 0.036019, -59.720977, 0.036634, 119.710805, 0.312602, 0.527369, -0.312210, -0.538872, 0.982660, - -0.378583, 0.981499, -0.376180], - [0.998604, 0.998594, -61.123876, 0.998604, 118.875767, 0.296171, 0.466687, 0, 0, 0.798926, -3.524072, 0, - 0], - [0.044289, 0.043675, -59.839870, 0.044289, 119.691851, 0.377698, 0.639716, -0.377123, -0.650913, 0.982060, - -0.398116, 0.980654, -0.395135], - [1.097518, 1.097507, -61.142831, 1.097518, 118.856813, 0.357750, 0.563720, 0, 0, 0.878062, -3.543027, 0, - 0]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - non_i_degree = [c for c in net.res_line_sc.columns if - c not in ["ikss_from_degree", "ikss_to_degree"] and c in res_line_sc] - i_degree = [c for c in net.res_line_sc.columns if c in ["ikss_from_degree", "ikss_to_degree"] and c in res_line_sc] - assert np.allclose(net.res_line_sc.loc[:, non_i_degree], res_line_sc.loc[:, non_i_degree], rtol=0, atol=2e-6) - assert np.allclose(net.res_line_sc.loc[:, i_degree], res_line_sc.loc[:, i_degree], rtol=0, atol=2e-4) - - res_trafo_sc = pd.DataFrame( - data=[ - [0.014655, -59.201943, 0.043675, 120.160131, 0.387670, 0.643162, -0.377698, -0.639716, 0.986152, -0.281725, - 0.982060, -0.398116], - [0.012104, -58.949266, 0.036019, 120.279024, 0.322487, 0.529717, -0.312602, -0.527369, 0.986032, -0.281941, - 0.982660, -0.378583], - [0.036634, -60.289196, 0.998594, 118.876124, 0.312210, 0.538872, -0.296171, -0.466687, 0.981499, -0.376180, - 0.798926, -3.524072], - [0.044289, -60.308150, 1.097507, 118.857170, 0.377123, 0.650913, -0.357750, -0.563720, 0.980654, -0.395135, - 0.878062, -3.543027]], - columns=['ikss_hv_ka', 'ikss_hv_degree', 'ikss_lv_ka', 'ikss_lv_degree', 'p_hv_mw', 'q_hv_mvar', 'p_lv_mw', - 'q_lv_mvar', 'vm_hv_pu', 'va_hv_degree', 'vm_lv_pu', 'va_lv_degree'] - ) - non_i_degree = [c for c in net.res_trafo_sc.columns if - c not in ["ikss_hv_degree", "ikss_lv_degree"] and c in res_trafo_sc] - i_degree = [c for c in net.res_trafo_sc.columns if c in ["ikss_lv_degree", "ikss_lv_degree"] and c in res_trafo_sc] - assert np.allclose(net.res_trafo_sc.loc[:, non_i_degree], res_trafo_sc.loc[:, non_i_degree], rtol=0, atol=2e-6) - assert np.allclose(net.res_trafo_sc.loc[:, i_degree], res_trafo_sc.loc[:, i_degree], rtol=0, atol=1e-5) - - -@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) -def test_type_c_trafo_simple_other_voltage4_sgen(inverse_y): - # this tests for 2 different topology configurations: ring and open ring, - # with options for different transformer nominal voltages, with load and sgen - # topology tests: open switch, out of service bus (important to test internal indexing) - net = net_transformer_simple_4() - net.sgen.p_mw = 20 - net.sgen.q_mvar = 0 - net.sgen.kappa = 1 - net.sgen.k = 1.2 - create_load(net, 7, 10, 3) - create_switch(net, 6, 4, 'l', False) - - net.trafo.at[1, "vn_hv_kv"] = 31 - net.trafo.at[2, "vn_lv_kv"] = 0.42 - - runpp(net) - calc_sc(net, case='max', lv_tol_percent=6., branch_results=True, bus=6, use_pre_fault_voltage=True, - inverse_y=inverse_y) - - baseMVA = net.sn_mva # MVA - baseV = net.bus.vn_kv.values # kV - baseI = baseMVA / (baseV * np.sqrt(3)) - baseZ = baseV ** 2 / baseMVA - - assert np.allclose(net.res_bus_sc.loc[6, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, - [1.12072796, 0.77646312, 0.11355049, 0.15946966], rtol=0, - atol=1e-6) - - res_line_sc = pd.DataFrame( - data=[[0.37233817, 0.37202159, -171.92326236, 0.37233817, 8.4072921, -19.05762949, 2.78907414, 19.09876936, - -2.83670764, 0.99637, -0.24936231, 0.99798561, -0.04098874], - [0.04744828, 0.04684176, -52.75384134, 0.04744828, 126.82145161, 0.39363348, 0.67731344, -0.39297336, - -0.68797096, 0.9655717, 7.08233793, 0.96406436, 7.08617078], - [1.12072796, 1.12071697, -53.94177232, 1.12072796, 126.05787127, 0.37304125, 0.58781451, 0., 0., - 0.89663052, 3.65803177, 0., 0.], - [0.6275538, 0.62734921, -21.12040944, 0.6275538, 158.81863754, 10.05721887, 3.15086826, -9.94029022, - -2.97825453, 0.96992777, -3.72493869, 0.95467304, -4.50238709], - [0., 0.0000277, 85.40612729, 0., 0., 0., -0.00001832, 0., 0., 0.95459186, -4.56234781, 0.95460121, - -4.56270483]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - - non_degree = [c for c in net.res_line_sc.columns if not "degree" in c and c in res_line_sc] - degree = [c for c in net.res_line_sc.columns if "degree" in c and c in res_line_sc] - assert np.allclose(net.res_line_sc.loc[:, non_degree], res_line_sc.loc[:, non_degree], rtol=0, atol=6e-5) - assert np.allclose(net.res_line_sc.loc[:, degree], res_line_sc.loc[:, degree], rtol=0, atol=0.05) - - res_trafo_sc = pd.DataFrame( - data=[[0.20929507, -21.10342929, 0.62734921, 158.87959058, 10.1259613, 3.85742992, -10.05721888, -3.15086826, - 0.99637, -0.24936231, 0.96992777, -3.72493869], - [0.37233817, -171.5927079, 1.15480275, 8.40493491, -19.09876937, 2.83670764, 19.30799817, -0.44577867, - 0.99798561, -0.04098874, 0.9655717, 7.08233793], - [0.04744828, -53.17854903, 1.12071698, 126.05822829, 0.39297335, 0.68797096, -0.37304126, -0.58781451, - 0.96406436, 7.08617078, 0.89663052, 3.65803177], - [0.00077159, -4.48005446, 0.0000277, -94.62521878, 0.01275854, -0.00000497, 0., 0.00001832, 0.95467304, - -4.50238709, 0.95459186, -4.56234781]], - columns=['ikss_hv_ka', 'ikss_hv_degree', 'ikss_lv_ka', 'ikss_lv_degree', 'p_hv_mw', 'q_hv_mvar', 'p_lv_mw', - 'q_lv_mvar', 'vm_hv_pu', 'va_hv_degree', 'vm_lv_pu', 'va_lv_degree'] - ) - non_degree = [c for c in net.res_trafo_sc.columns if "degree" not in c and c in res_trafo_sc] - degree = [c for c in net.res_trafo_sc.columns if "degree" in c and c in res_trafo_sc] - assert np.allclose(net.res_trafo_sc.loc[:, non_degree], res_trafo_sc.loc[:, non_degree], rtol=0, atol=1e-5) - assert np.allclose(net.res_trafo_sc.loc[:, degree], res_trafo_sc.loc[:, degree], rtol=0, atol=0.07) - - -@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) -def test_type_c_sgen_trafo4(inverse_y): - net = pandapowerNet(name="test_type_c_sgen_trafo4", sn_mva=100) - create_buses(net, 2, 110) - create_ext_grid(net, 0, s_sc_max_mva=100, s_sc_min_mva=80, rx_max=0.4, rx_min=0.4) - create_line_from_parameters(net, 0, 1, 20, 0.0949, 0.38, 9.2, 0.74) - create_sgen(net, 1, 30, 0, 50, k=1, kappa=1) - runpp(net) - calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=1, inverse_y=inverse_y) - - assert np.allclose(net.res_bus_sc.loc[:, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, - [0.680859, 129.720994, 3.049814, 152.46668], rtol=0, atol=1e-5) - - res_line_sc = pd.DataFrame( - data=[[0.4184267, 0.41833479, -87.77946741, 0.4184267, 92.21738882, 0.99691065, 3.99091307, 0., 0., - 0.05161055, -11.80466263, 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) - - net.sgen.at[0, 'kappa'] = 1.2 - calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=1, inverse_y=inverse_y) - - assert np.allclose(net.res_bus_sc.loc[:, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], - [0.6821, 129.95747, 3.049814, 152.46668], rtol=0, atol=1e-5) - - res_line_sc = pd.DataFrame( - data=[[0.4184267, 0.41833479, -87.77946741, 0.4184267, 92.21738882, 0.99691065, 3.99091307, 0., 0., 0.05161055, - -11.80466263, 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) - - -@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) -def test_load_type_c(inverse_y): - net = pandapowerNet(name="test_load_type_c", sn_mva=100) - create_buses(net, 3, 110) - create_ext_grid(net, 0, s_sc_max_mva=100, rx_max=0.1) - create_line_from_parameters(net, 0, 1, 20, 0.0949, 0.38, 9.2, 0.74) - create_line_from_parameters(net, 1, 2, 20, 0.099, 0.156, 400, 0.74) - create_load(net, 1, 10, 3) - - runpp(net) - calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) - - res_bus_sc = np.array([0.31443438, 59.9077952, 66.64954063, 194.98202182]) - assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, - rtol=0, atol=1e-5) - - res_line_sc = pd.DataFrame( - data=[[0.31393855, 0.31381306, -71.61339493, 0.31393855, 108.37684429, 1.15160782, 3.16677295, -0.59052299, - -0.92129652, 0.05635891, -1.59736465, 0.01829535, -14.28178926], - [0.31443438, 0.31320255, -71.73882892, 0.31443438, 108.11805023, 0.58728173, 0.92032414, 0., 0., - 0.01829535, -14.28178926, 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) - - # now test for fault at the load bus - calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=1, inverse_y=inverse_y) - res_bus_sc = np.array([0.32128852, 61.21368488, 63.19657030, 190.67254950]) - assert np.allclose(net.res_bus_sc.loc[1, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, res_bus_sc, rtol=0, - atol=1e-5) - - res_line_sc = pd.DataFrame( - data=[[0.32128852, 0.32121795, -72.27006831, 0.32128852, 107.72678791, 0.58777062, 2.35301071, -0.0000001, - -0.0000001, 0.03962911, 3.70473647, 0., 0.], [0., 0., 0., 0., 0., 0., -0., 0., 0., 0., 0., 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) - - # now try with positive p_mw, negative q_mvar - net.load.q_mvar = -2 - runpp(net) - calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) - - res_bus_sc = np.array([0.29176418, 55.58854147, 77.40936019, 208.87369732]) - assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, res_bus_sc, rtol=0, - atol=1e-5) - - res_line_sc = pd.DataFrame( - data=[[0.29093901, 0.29082267, -70.14924675, 0.29093901, 109.84097608, 0.9903086, 2.72035994, -0.50842396, - -0.79184572, 0.05224782, -0.1525674, 0.01697628, -12.86251045], - [0.29176418, 0.29062116, -70.31955011, 0.29176418, 109.53732905, 0.50565042, 0.79240043, 0, 0, 0.01697628, - -12.86251045, 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) - - # now try with negative p_mw, negative q_mvar - net.load.p_mw = -5 - runpp(net) - calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) - - res_bus_sc = np.array([0.27677319, 52.73237570, 22.92942615, 234.25805144]) - assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, rtol=0, - atol=1.1e-5) - - res_line_sc = pd.DataFrame( - data=[[0.27533477, 0.27522443, -84.57867986, 0.27533477, 95.41156578, 0.88536175, 2.43975772, -0.45378216, - -0.71256769, 0.04949597, -14.52396818, 0.01610403, -27.07850858], - [0.27677319, 0.27568891, -84.53554824, 0.27677319, 95.32133091, 0.4550242, 0.7130645, 0, 0, 0.01610403, - -27.07850858, 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1.1e-6) - - # now try with zero p_mw and q_mvar, but the load still present - net.load.p_mw = 0 - net.load.q_mvar = 0 - - runpp(net) - calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) - - res_bus_sc = np.array([0.28905271, 55.07193832, 40.36906664, 221.27455269]) - assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, rtol=0, atol=1e-5) - - res_line_sc = pd.DataFrame( - data=[[0.28792032, 0.28780504, -79.93483554, 0.28792032, 100.05540903, 0.96823224, 2.66644109, -0.49629573, - -0.77774077, 0.05173395, -9.8916964, 0.01681852, -22.48755131], - [0.28905271, 0.28792032, -79.94459097, 0.28905271, 99.91228819, 0.49629573, 0.77774077, 0, 0, 0.01681852, - -22.48755131, 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) - - -@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) -def test_sgen_type_c(inverse_y): - net = pandapowerNet(name="test_sgen_type_c", sn_mva=100) - create_buses(net, 3, 110) - create_ext_grid(net, 0, s_sc_max_mva=100, rx_max=0.1, s_sc_min_mva=80, rx_min=0.4) - create_line_from_parameters(net, 0, 1, 20, 0.0949, 0.38, 9.2, 0.74) - create_line_from_parameters(net, 1, 2, 20, 0.099, 0.156, 400, 0.74) - create_sgen(net, 1, 10, 3, 20, k=0, kappa=0) - - # first we test the contribution of the shunt impedance component only - runpp(net) - calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) - - res_bus_sc = np.array([0.27140996, 51.71054206, 1.86837663, 240.35204316]) - assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, res_bus_sc, rtol=0, - atol=1.1e-5) - - res_line_sc = pd.DataFrame( - data=[[0.26972109, 0.26961292, -89.61895148, 0.26972109, 90.37129854, 0.84933852, 2.34245931, -0.43517822, - -0.68498246, 0.0485064, -19.54879135, 0.01579197, -32.05702438], - [0.27140996, 0.27034668, -89.51406404, 0.27140996, 90.34281512, 0.43756039, 0.68569712, 0, 0, 0.01579197, - -32.05702438, 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1.5e-6) - - net.sgen.k = 1. - net.sgen.kappa = 1. - - runpp(net) - calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) - - res_bus_sc = np.array([0.37460791, 71.37239201, 1.86837663, 240.35204316]) - assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, rtol=0, - atol=1.1e-5) - - res_line_sc = pd.DataFrame( - data=[[0.26731345, 0.26718739, -89.36194328, 0.26731345, 90.6256479, 1.00620834, 2.56195025, -0.59943766, - -0.93434154, 0.05406945, -20.80440736, 0.02179654, -32.05702438], - [0.37460791, 0.37314034, -89.51406404, 0.37460791, 90.34281512, 0.83356663, 1.30627509, 0, 0, 0.02179654, - -32.05702438, 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1.5e-6) - - net.sgen.p_mw = 5 - net.sgen.kappa = 1.2 - runpp(net) - calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) - - res_bus_sc = np.array([0.3757975, 71.59903955, 23.71256985, 238.47843258]) - assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, rtol=0, - atol=1.1e-5) - - res_line_sc = pd.DataFrame( - data=[[0.26809978, 0.26797339, -84.23219467, 0.26809978, 95.75537616, 1.01346202, 2.57650331, -0.60429464, - -0.93930479, 0.05422812, -15.70428288, 0.02186576, -26.99952079], - [0.3757975, 0.37432527, -84.45656046, 0.3757975, 95.4003187, 0.83886913, 1.31458458, 0, 0, 0.02186576, - -26.99952079, 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1.1e-6) - - runpp(net) - calc_sc(net, case="min", use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) - - res_bus_sc = np.array([0.33334, 63.509772, 152.076986, 240.321483]) - assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, rtol=0, atol=4e-5) - - res_line_sc = pd.DataFrame( - data=[[0.22549428, 0.22549428, -57.7247817, 0.2256038, 122.26232395, 0.73906755, 1.86147343, -0.44933665, - -0.70222018, 0.04661803, 10.62047628, 0.01939536, -0.35204102], - [0.33203396, 0.33203396, -57.80908069, 0.33333986, 122.04779847, 0.66002583, 1.03432079, 0., 0., - 0.01939536, -0.35204102, 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=4e-6) - - # test with fault impedance - runpp(net) - calc_sc(net, case="max", use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y, - r_fault_ohm=10, x_fault_ohm=5) - - res_bus_sc = np.array([0.36193148, 68.95720876, 33.71256985, 243.47843258]) - assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, rtol=0, - atol=1.1e-5) - - res_line_sc = pd.DataFrame( - data=[[0.25310399, 0.25289333, -79.00626669, 0.25310399, 100.93191475, 3.76673885, 3.49235098, -3.4021955, - -2.03898166, 0.1066072, -36.17097137, 0.08225171, -48.13325967], - [0.36193148, 0.35610158, -80.79001608, 0.36193148, 97.60508469, 4.69831427, 3.01125907, -3.92983193, - -1.96491597, 0.08225171, -48.13325967, 0.06371612, -55.82986413]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) - - -def test_trafo_3w(): - pass - - -@pytest.mark.parametrize("trafo_impedance_case", ["max", "min"]) -def test_trafo_impedance(trafo_impedance_case): - case = trafo_impedance_case - - net = pandapowerNet(name="test_trafo_impedance", sn_mva=0.16) - create_bus(net, 20) - create_buses(net, 2, 0.4) - create_ext_grid(net, 0, s_sc_max_mva=100, s_sc_min_mva=80, rx_max=0.1, rx_min=0.1) - v_lv = 410 - create_transformer_from_parameters( - net=net, - hv_bus=0, - lv_bus=1, - sn_mva=1, - vn_hv_kv=20, - vn_lv_kv=0.4, - vkr_percent=0.96, - vk_percent=6, - pfe_kw=0, - i0_percent=0 - ) - create_line_from_parameters( - net=net, - from_bus=1, - to_bus=2, - length_km=0.5, - r_ohm_per_km=0.208, - x_ohm_per_km=0.068, - c_nf_per_km=1, - max_i_ka=1, - parallel=1, - endtemp_degree=20 - ) - # create_load(net, 2, 0.1) - - # runpp(net) - - # trafo: - # v_lv = 410 - # z_tlv = 4 / 100 * v_lv ** 2 / (400 * 1e3) - # r_tlv = 4600 * v_lv ** 2 / ((400 * 1e3) ** 2) - # x_tlv = np.sqrt(z_tlv ** 2 - r_tlv ** 2) - # z_tlv = r_tlv + 1j * x_tlv - # x_t = x_tlv * 400 * 1e3 / (v_lv ** 2) - # k_t = 0.95 * 1.05 / (1 + 0.6 * x_t) - # z_tk = k_t * z_tlv - - calc_sc(net, case=case, lv_tol_percent=6., bus=2, branch_results=True, use_pre_fault_voltage=False) - - # min test case - if trafo_impedance_case == "min": - assert np.allclose(net.res_bus_sc.ikss_ka, 1.906175, rtol=0, atol=1e-3) - assert np.allclose(net.res_bus_sc.skss_mw, 1.320637, rtol=0, atol=1e-5) - assert np.allclose(net.res_bus_sc.rk_ohm, 0.106, rtol=0, atol=1e-3) - assert np.allclose(net.res_bus_sc.xk_ohm, 0.045, rtol=0, atol=1e-3) - - # max test case - else: - assert np.allclose(net.res_bus_sc.ikss_ka, 2.112413, rtol=0, atol=1e-3) - assert np.allclose(net.res_bus_sc.skss_mw, 1.463523, rtol=0, atol=1e-5) - assert np.allclose(net.res_bus_sc.rk_ohm, 0.106, rtol=0, atol=1e-3) - assert np.allclose(net.res_bus_sc.xk_ohm, 0.045, rtol=0, atol=1e-3) - - - # ppci = net.ppci - # tap = ppci["branch"][:, TAP].real - # ikss1 = ppci["bus"][:, IKSS1] * np.exp(1j * np.deg2rad(ppci["bus"][:, PHI_IKSS1_DEGREE])) - - # line: - # z_l = 0.416 * 1e-3 + 1j * 0.136 * 1e-3 # Ohm - # - # v_1 = ikss1[2] * z_l / 0.4 * np.sqrt(3) # kA * Ohm / V_base -> p.u. - # np.abs(v_1) - # np.angle(v_1, deg=True) - # - # v_0 = v_1 + ikss1[2] * z_tk / 0.4 * np.sqrt(3) * 0.4 / 0.41 - # np.abs(v_0) - # np.angle(v_0, deg=True) - # - # v_0_ref = v_1 + ikss1[2] * z_tk / 0.4 * np.sqrt(3) - # - # Yf = ppci["internal"]["Yf"] - # Yt = ppci["internal"]["Yt"] - # V_diff = np.ones_like(net.bus.index.values, dtype=np.complex128) - # V_diff[0] = v_0 - # V_diff[1] = v_1 - # V_diff[2] = 0 - # i_f = Yf.dot(V_diff) / ppci["internal"]["baseI"][ppci["branch"][:, F_BUS].real.astype(np.int64)] - # i_t = Yt.dot(V_diff) / ppci["internal"]["baseI"][ppci["branch"][:, T_BUS].real.astype(np.int64)] - # abs(i_f) - # abs(i_t) - - -@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) -def test_one_line(inverse_y): - net = pandapowerNet(name="test_one_line", sn_mva=1) - b1 = create_bus(net, vn_kv=10.) - b2 = create_bus(net, vn_kv=10.) - create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) - create_line_from_parameters(net, b1, b2, 1, 0.099, 0.156, 400, 0.457) - create_load(net, b2, 20) - runpp(net) - - bus_idx = 1 - calc_sc(net, case='max', branch_results=True, bus=bus_idx, use_pre_fault_voltage=True, inverse_y=inverse_y) - - assert np.allclose(net.res_bus_sc.loc[1, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, - [4.79606369, 83.07025981, 0.47005260, 1.08109377], rtol=0, - atol=1e-5) - - res_line_sc = pd.DataFrame( - data=[[4.79606369, 4.79601668, -68.32665507, 4.79606369, 111.67298852, 6.83166135, 10.76489439, - 0., 0., 0.15348228, -10.72685098, 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) - - -@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) -def test_return_all_currents(inverse_y): - net = pandapowerNet(name="test_return_all_currents", sn_mva=1) - b1 = create_bus(net, vn_kv=10.) - b2 = create_bus(net, vn_kv=10.) - create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) - create_line_from_parameters(net, b1, b2, 1, 0.099, 0.156, 400, 0.457) - create_load(net, b2, 20) - runpp(net) - - bus_idx = [0, 1] - - # first test Type C: - calc_sc(net, case='max', branch_results=True, bus=bus_idx, return_all_currents=True, use_pre_fault_voltage=True, - inverse_y=inverse_y) - res_line_sc = pd.DataFrame( - data=[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], - [4.79606369, 4.79601668, -68.32665507, 4.79606369, 111.67298852, 6.83166135, 10.76489439, 0, 0, - 0.15348228, -10.72685098, 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) - - # test Type A: - calc_sc(net, case='max', branch_results=True, return_all_currents=True, bus=bus_idx, use_pre_fault_voltage=False, - inverse_y=inverse_y) - res_line_sc = pd.DataFrame( - data=[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], - [5.00936688, 5.00936688, -80.53631328, 5.00936688, 99.46368672, 7.45284566, - 11.74387832, 0, 0, 0.16030835, -22.93615278, 0., 0.]], - columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", - "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] - ) - assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1.5e-6) - - # several buses not implemented for Type C - create_sgen(net, 1, 0) - with pytest.raises(NotImplementedError): - calc_sc(net, case='max', branch_results=True, bus=bus_idx, use_pre_fault_voltage=True, inverse_y=inverse_y) - - -def test_branch_all_currents_trafo(): - net = net_transformer() - calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=10., branch_results=True, return_all_currents=True) - - assert (abs(net.res_trafo_sc.ikss_lv_ka.loc[(0, 0)] - 0.) < 1e-5) - assert (abs(net.res_trafo_sc.ikss_lv_ka.loc[(0, 1)] - 0.) < 1e-5) - assert (abs(net.res_trafo_sc.ikss_lv_ka.loc[(0, 2)] - 16.992258758) < 1e-5) - - assert (abs(net.res_trafo_sc.ikss_hv_ka.loc[(0, 0)] - 0.) < 1e-5) - assert (abs(net.res_trafo_sc.ikss_hv_ka.loc[(0, 1)] - 0.) < 1e-5) - assert (abs(net.res_trafo_sc.ikss_hv_ka.loc[(0, 2)] - 0.648795) < 1e-5) - - -def test_against_single_sc_results_line(): - net = three_bus_permuted_index() - - calc_sc(net, case="max", branch_results=True, return_all_currents=True) - multi_results = net.res_line_sc.copy() - - for bus in net.bus.index: - calc_sc(net, bus=bus, case="max", branch_results=True, return_all_currents=True) - line_bus_indices = [(line, bus) for line in net.line.index] - single_result = net.res_line_sc.ikss_ka.values - multi_result = multi_results.ikss_ka.loc[line_bus_indices].values - assert np.allclose(single_result, multi_result) - - -def test_against_single_sc_results_trafo(): - net = net_transformer() - calc_sc(net, case="max", branch_results=True, return_all_currents=True, inverse_y=False) - multi_results = net.res_trafo_sc.copy() - - for bus in net.bus.index[net.bus.in_service]: - calc_sc(net, bus=bus, case="max", branch_results=True, return_all_currents=True, inverse_y=False) - trafo_bus_indices = [(trafo, bus) for trafo in net.trafo.index] - single_result_lv = net.res_trafo_sc.ikss_lv_ka.values - multi_result_lv = multi_results.ikss_lv_ka.loc[trafo_bus_indices].values - assert np.allclose(single_result_lv, multi_result_lv) - - single_result_hv = net.res_trafo_sc.ikss_hv_ka.values - multi_result_hv = multi_results.ikss_hv_ka.loc[trafo_bus_indices].values - assert np.allclose(single_result_hv, multi_result_hv) - - -def test_ward(): - net = pandapowerNet(name="test_ward", sn_mva=9) - create_buses(net, 2, 110) - create_ext_grid(net, 0, s_sc_max_mva=100, rx_max=0.1) - create_line_from_parameters(net, 0, 1, 1, 0.5, 0.5, 0, 1000) - create_ward(net, 1, 10, 5, 200, 100) - calc_sc(net) - ikss_ka = [1.209707, 1.209818] - rk_ohm = [57.719840, 57.678686] - xk_ohm = [-1.834709, -2.740132] - assert np.allclose(net.res_bus_sc.ikss_ka, ikss_ka, atol=1e-6, rtol=0) - assert np.allclose(net.res_bus_sc.rk_ohm, rk_ohm, atol=1e-6, rtol=0) - assert np.allclose(net.res_bus_sc.xk_ohm, xk_ohm, atol=1e-6, rtol=0) - - -def test_xward(): - net = pandapowerNet(name="test_xward", sn_mva=4) - create_buses(net, 2, 110) - create_ext_grid(net, 0, s_sc_max_mva=100, rx_max=0.1) - create_line_from_parameters(net, 0, 1, 1, 0.5, 0.5, 0, 1000) - create_xward(net, 1, 10, 5, 200, 100, 3, 1, vm_pu=1.02) - calc_sc(net) - ikss_ka = [1.209707, 1.209818] - rk_ohm = [57.719840, 57.678686] - xk_ohm = [-1.834709, -2.740132] - assert np.allclose(net.res_bus_sc.ikss_ka, ikss_ka, atol=1e-6, rtol=0) - assert np.allclose(net.res_bus_sc.rk_ohm, rk_ohm, atol=1e-6, rtol=0) - assert np.allclose(net.res_bus_sc.xk_ohm, xk_ohm, atol=1e-6, rtol=0) - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import numpy as np +import pandas as pd +import pytest + +from pandapower.create import ( + create_bus, create_ext_grid, create_line, create_sgen, create_switch, create_transformer_from_parameters, + create_transformers_from_parameters, create_line_from_parameters, create_buses, create_lines_from_parameters, + create_load, create_shunt, create_ward, create_xward +) +from pandapower.network import pandapowerNet +from pandapower.pypower.idx_brch import F_BUS, T_BUS, TAP, BR_R, BR_X +from pandapower.pypower.idx_bus_sc import IKSS1, PHI_IKSS1_DEGREE +from pandapower.run import runpp +from pandapower.shortcircuit.calc_sc import calc_sc + + +def three_bus_example(): + net = pandapowerNet(name="three_bus_example", sn_mva=56) + b1 = create_bus(net, 110) + b2 = create_bus(net, 110) + b3 = create_bus(net, 110) + + create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) + create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) + create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) + net.line["endtemp_degree"] = 80 + + create_sgen(net, b2, sn_mva=2, p_mw=0, k=1.2) + + net.ext_grid['x0x_min'] = 0.1 + net.ext_grid['r0x0_min'] = 0.1 + net.ext_grid['x0x_max'] = 0.1 + net.ext_grid['r0x0_max'] = 0.1 + + net.line['r0_ohm_per_km'] = 0.1 + net.line['x0_ohm_per_km'] = 0.1 + net.line['c0_nf_per_km'] = 0.1 + net.line["endtemp_degree"] = 80 + return net + + +def three_bus_permuted_index(): + net = pandapowerNet(name="three_bus_permuted_index", sn_mva=67) + b1 = create_bus(net, 110, index=4) + b2 = create_bus(net, 110, index=3) + b3 = create_bus(net, 110, index=0) + + create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) + create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20., index=1) + create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15., index=0) + net.line["endtemp_degree"] = 80 + + create_sgen(net, b2, sn_mva=2, p_mw=0, k=1.2) + return net + + +# def gen_three_bus_example(): +# net = pandapowerNet(name="gen_three_bus_example", sn_mva=2) +# b1 = create_bus(net, vn_kv=10.) +# b2 = create_bus(net, vn_kv=10.) +# b3 = create_bus(net, vn_kv=10.) +# #create_bus(net, vn_kv=0.4, in_service=False) +# create_gen(net, b2, vn_kv=10.5, xdss_pu=0.2, rdss_pu=0.001, cos_phi=0.8, p_mw=0.1, sn_mva=2.5) +# create_line_from_parameters(net, b1, b2, length_km=1.0, max_i_ka=0.29, +# r_ohm_per_km=0.1548, x_ohm_per_km=0.0816814, c_nf_per_km=165) +# create_line_from_parameters(net, b2, b3, length_km=1.0, max_i_ka=0.29, +# r_ohm_per_km=0.1548, x_ohm_per_km=0.0816814, c_nf_per_km=165) +# net.line["endtemp_degree"] = 165 +# create_ext_grid(net, b1, s_sc_max_mva=10., s_sc_min_mva=8., rx_min=0.4, rx_max=0.4) +# #create_switch(net, b3, b1, et="b") +# return net + + +def net_transformer_simple(): + net = pandapowerNet(name="net_transformer_simple", sn_mva=2) + b1 = create_bus(net, vn_kv=10.) + b2 = create_bus(net, vn_kv=.4) + create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) + create_transformer_from_parameters(net, b1, b2, vn_hv_kv=10., vn_lv_kv=0.4, vk_percent=6., vkr_percent=0.5, + pfe_kw=14, shift_degree=0.0, tap_side="hv", tap_neutral=0, tap_min=-2, tap_max=2, + tap_pos=0, tap_step_percent=2.5, parallel=1, sn_mva=0.4, i0_percent=0.5, + tap_changer_type="Ratio") + return net + + +def net_transformer_simple_2(): + net = pandapowerNet(name="net_transformer_simple_2", sn_mva=2) + b1 = create_bus(net, vn_kv=10.) + b1a = create_bus(net, vn_kv=10.) + b2 = create_bus(net, vn_kv=.4) + b3 = create_bus(net, vn_kv=.4) + b4 = create_bus(net, vn_kv=.4) + create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) + create_transformers_from_parameters(net, [b1, b1a], [b2, b3], vn_hv_kv=10., vn_lv_kv=0.4, vk_percent=6., + vkr_percent=0.5, pfe_kw=14, shift_degree=0.0, tap_side="hv", tap_neutral=0, + tap_min=-2, tap_max=2, tap_pos=0, tap_step_percent=2.5, parallel=1, sn_mva=0.4, + i0_percent=0.5) + create_line_from_parameters(net, b1, b1a, 1, 0.099, 0.156, 125, 0.457) + create_line_from_parameters(net, b3, b4, 1, 0.099, 0.156, 125, 0.457) + return net + + +def net_transformer_simple_3(): + net = pandapowerNet(name="net_transformer_simple_3", sn_mva=100) + create_buses(net, 2, 30) + create_buses(net, 3, 10) + create_buses(net, 2, 0.4) + + create_ext_grid(net, 0, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) + # 30/10 + create_transformers_from_parameters(net, [0, 1], [2, 3], sn_mva=10, vn_hv_kv=30., vn_lv_kv=10, vk_percent=6., + vkr_percent=0.5, i0_percent=0.1, pfe_kw=10, shift_degree=0.0, tap_side="hv", + tap_neutral=0, tap_min=-2, tap_max=2, tap_pos=0, tap_step_percent=2.5, + parallel=1) + # 10/0.4 + create_transformer_from_parameters(net, 4, 5, sn_mva=0.4, vn_hv_kv=10., vn_lv_kv=0.4, vk_percent=6., + vkr_percent=0.5, pfe_kw=14, i0_percent=0.5, shift_degree=0.0, tap_side="hv", + tap_neutral=0, tap_min=-2, tap_max=2, tap_pos=0, tap_step_percent=2.5, + parallel=1, tap_changer_type="Ratio") + create_lines_from_parameters(net, [0, 3, 5], [1, 4, 6], 1, 0.099, 0.156, 400, 0.457) + return net + + +def net_transformer_simple_4(): + net = net_transformer_simple_3() + + create_bus(net, 10) + create_bus(net, 0.4) + create_lines_from_parameters(net, [2, 8], [7, 6], 1, 0.099, 0.156, 400, 0.457) + create_transformer_from_parameters(net, 7, 8, sn_mva=0.4, vn_hv_kv=10., vn_lv_kv=0.4, vk_percent=6., + vkr_percent=0.5, pfe_kw=14, i0_percent=0.5, shift_degree=0.0, tap_side="hv", + tap_neutral=0, tap_min=-2, tap_max=2, tap_pos=0, tap_step_percent=2.5, + parallel=1, tap_changer_type="Ratio") + create_switch(net, 6, 4, "l", closed=True) + create_sgen(net, 3, 0, 0, 20, k=1.2, kappa=1) + create_load(net, 6, 0.1) + return net + + +def net_transformer(): + net = pandapowerNet(name="net_transformer", sn_mva=2) + b1a = create_bus(net, vn_kv=10.) + b1b = create_bus(net, vn_kv=10.) + b2 = create_bus(net, vn_kv=.4) + create_bus(net, vn_kv=0.4, in_service=False) # add out of service bus to test oos indexing + create_ext_grid(net, b1a, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) + create_switch(net, b1a, b1b, et="b") + create_transformer_from_parameters(net, b1b, b2, vn_hv_kv=11., vn_lv_kv=0.42, vk_percent=6., vkr_percent=0.5, + pfe_kw=14, shift_degree=0.0, tap_changer_type="Ratio", tap_side="hv", + tap_neutral=0, tap_min=-2, tap_max=2, tap_pos=2, tap_step_percent=2.5, + parallel=2, sn_mva=0.4, i0_percent=0.5) + create_shunt(net, b2, q_mvar=0.050, p_mw=0.0500) # adding a shunt shouldn't change the result + return net + + +def test_all_currents_sgen(): + # + # eg--0---l0---1---l1---2 + # | + # g + # + net = three_bus_example() + calc_sc(net, case="max", ip=True, ith=True, branch_results=True, return_all_currents=True) + assert np.allclose(net.res_line_sc.ikss_ka.values, + np.array([0.01259673, 0.49593036, 0.48628848, 0., 0., 0.49888962]), atol=1e-5) + assert np.allclose(net.res_line_sc.ip_ka.values, np.array([0.01781447, 0.92787447, 0.90729584, 0., 0., 0.92511655]), + atol=1e-5) + assert np.allclose(net.res_line_sc.ith_ka.values, np.array([0.01265116, 0.4981196, 0.48841266, 0., 0., 0.50106884]), + atol=1e-5) + + calc_sc(net, case="min", ip=True, ith=True, branch_results=True, return_all_currents=True) + assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([0., 0.3989686, 0.3919381, 0., 0., 0.3919381]), + atol=1e-5) + assert np.allclose(net.res_line_sc.ip_ka.values, np.array([0., 0.74438751, 0.728265, 0., 0., 0.728265]), atol=1e-5) + assert np.allclose(net.res_line_sc.ith_ka.values, np.array([0., 0.40071219, 0.393626, 0., 0., 0.393626]), atol=1e-5) + + +def test_all_currents_1ph_max(): + # Only check coherence between branch currents and bus currents + # + # eg--0---l0---1---l1---2 + # | + # g + # + # With generator + net = three_bus_example() + calc_sc(net, case="max", fault='1ph', branch_results=True, return_all_currents=True) + i_bus_with_sgen = net.res_bus_sc.copy() + i_line_with_gen = net.res_line_sc.copy() + + # Without generator + net = three_bus_example() + net.sgen.in_service = False + calc_sc(net, case="max", fault='1ph') + i_bus_without_sgen = net.res_bus_sc.copy() + + # Isolate sgen contrib + i_bus_only_sgen = i_bus_with_sgen - i_bus_without_sgen + + assert np.isclose(i_line_with_gen.ikss_ka.loc[(0, 0)], i_bus_only_sgen.ikss_ka.at[0], atol=1e-4) + assert np.isclose(i_line_with_gen.ikss_ka.loc[(0, 1)], i_bus_without_sgen.ikss_ka.at[1], atol=1e-4) + assert np.isclose(i_line_with_gen.ikss_ka.loc[(0, 2)], i_bus_without_sgen.ikss_ka.at[2] - ( + i_bus_only_sgen.ikss_ka.at[1] - i_bus_only_sgen.ikss_ka.at[2]), atol=1e-4) + assert np.isclose(i_line_with_gen.ikss_ka.loc[(1, 0)], 0., atol=1e-4) + assert np.isclose(i_line_with_gen.ikss_ka.loc[(1, 1)], 0., atol=1e-4) + assert np.isclose(i_line_with_gen.ikss_ka.loc[(1, 2)], i_bus_with_sgen.ikss_ka.at[2], atol=1e-4) + + +def test_all_currents_1ph_min(): + # Only check coherence between branch currents and bus currents + # + # eg--0---l0---1---l1---2 + # | + # g + # + # With generator + net = three_bus_example() + calc_sc(net, case="min", fault='1ph', branch_results=True, return_all_currents=True) + i_bus_with_sgen = net.res_bus_sc.copy() + i_line_with_gen = net.res_line_sc.copy() + + # Without generator + net.sgen.in_service = False + calc_sc(net, case="min", fault='1ph', branch_results=True) + i_bus_without_sgen = net.res_bus_sc.copy() + + # Isolate sgen contrib + i_bus_only_sgen = i_bus_with_sgen - i_bus_without_sgen + + assert np.isclose(i_line_with_gen.ikss_ka.loc[(0, 0)], i_bus_only_sgen.ikss_ka.at[0], atol=1e-4) + assert np.isclose(i_line_with_gen.ikss_ka.loc[(0, 1)], i_bus_without_sgen.ikss_ka.at[1], atol=1e-4) + assert np.isclose(i_line_with_gen.ikss_ka.loc[(0, 2)], i_bus_without_sgen.ikss_ka.at[2] - ( + i_bus_only_sgen.ikss_ka.at[1] - i_bus_only_sgen.ikss_ka.at[2]), atol=1e-4) + assert np.isclose(i_line_with_gen.ikss_ka.loc[(1, 0)], 0., atol=1e-4) + assert np.isclose(i_line_with_gen.ikss_ka.loc[(1, 1)], 0., atol=1e-4) + assert np.isclose(i_line_with_gen.ikss_ka.loc[(1, 2)], i_bus_with_sgen.ikss_ka.at[2], atol=1e-4) + + +def test_with_permuted_index(): + # Check that if element's index are permuted the results are still consistent + # + # eg--4---l1---3---l0---1 + # | + # g + # + net = three_bus_permuted_index() + calc_sc(net, case="max", ip=True, ith=True, branch_results=True, return_all_currents=True) + assert np.allclose(net.res_line_sc.ikss_ka.loc[[(1, 4), (1, 3), (1, 0), (0, 4), (0, 3), (0, 0)]].values, + np.array([0.01259673, 0.49593036, 0.48628848, 0., 0., 0.49888962]), atol=1e-5) + calc_sc(net, case="min", ip=True, ith=True, branch_results=True, return_all_currents=True) + assert np.allclose(net.res_line_sc.ikss_ka.loc[[(1, 4), (1, 3), (1, 0), (0, 4), (0, 3), (0, 0)]].values, + np.array([0., 0.3989686, 0.3919381, 0., 0., 0.3919381]), atol=1e-5) + + +def test_all_currents_with_oos_elements(): + net = three_bus_example() + net.bus.loc[2, "in_service"] = False + net.line.loc[1, "in_service"] = False + calc_sc(net, case="max", branch_results=True, return_all_currents=True) + + assert np.allclose(net.res_line_sc.ikss_ka.loc[[(0, 0), (0, 1)]].values, np.array([0.01259673, 0.49593036]), + atol=1e-5) + assert np.allclose(net.res_line_sc.ikss_ka.loc[[(0, 2), (1, 0), (1, 1), (1, 2)]].values, 0, atol=1e-10) + + calc_sc(net, case="min", branch_results=True, return_all_currents=True) + assert np.allclose(net.res_line_sc.ikss_ka.loc[[(0, 0), (0, 1)]].values, np.array([0, 0.3989686]), + atol=1e-5) # sgen does not contribute in case == "min" + # np.array([0.01259673, 0.3989686]), atol=1e-5) # <- old + assert np.allclose(net.res_line_sc.ikss_ka.loc[[(0, 2), (1, 0), (1, 1), (1, 2)]].values, 0, atol=1e-10) + + +# TODO: This example should not work anymore +# def test_branch_all_currents_gen(): +# net = gen_three_bus_example() +# calc_sc(net, case="max", branch_results=True, return_all_currents=True) +# assert np.allclose(net.res_line_sc.ikss_ka.values, +# np.array([0.76204252, 0.57040645, 0.55786693, 0., 0., 1.28698045])) + +# calc_sc(net, case="min", branch_results=True, return_all_currents=True) +# assert np.allclose(net.res_line_sc.ikss_ka.values, +# np.array([0.69255026, 0.45574755, 0.44487882, 0., 0., 1.10747517])) + + +def test_branch_all_currents_trafo_simple(): + net = net_transformer_simple() + calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=6., branch_results=True, bus=1) + + assert np.isclose(net.res_bus_sc.ikss_ka, 9.749917, atol=1e-6, rtol=0) + assert np.isclose(net.res_bus_sc.skss_mw, 6.75494, atol=1e-6, rtol=0) + + assert np.isclose(net.res_trafo_sc.ikss_hv_ka, 0.389997, atol=1e-6, rtol=0) + assert np.isclose(net.res_trafo_sc.ikss_lv_ka, 9.749916, atol=1e-6, rtol=0) + + assert np.isclose(net.res_trafo_sc.p_hv_mw, 0.549236, atol=1e-6, rtol=0) + assert np.isclose(net.res_trafo_sc.q_hv_mvar, 6.567902, atol=1e-6, rtol=0) + assert np.isclose(net.res_trafo_sc.p_lv_mw, 0, atol=1e-6, rtol=0) + assert np.isclose(net.res_trafo_sc.q_lv_mvar, 0, atol=1e-6, rtol=0) + + assert np.isclose(net.res_trafo_sc.vm_hv_pu, 0.975705, atol=1e-6, rtol=0) + assert np.isclose(net.res_trafo_sc.va_hv_degree, 0.065838, atol=1e-6, rtol=0) + assert np.isclose(net.res_trafo_sc.vm_lv_pu, 0, atol=1e-6, rtol=0) + assert np.isclose(net.res_trafo_sc.va_lv_degree, 0, atol=1e-6, rtol=0) + + calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=6., branch_results=False, bus=0) + + assert np.isclose(net.res_bus_sc.ikss_ka, 5.773503, atol=1e-6, rtol=0) + assert np.isclose(net.res_bus_sc.skss_mw, 100, atol=1e-6, rtol=0) + + +def add_aux_trafo(net, trafo_idx): + hv_bus = net.trafo.at[trafo_idx, 'hv_bus'] + aux_bus = create_bus(net, net.trafo.at[trafo_idx, 'vn_hv_kv']) + net.trafo.at[trafo_idx, 'hv_bus'] = aux_bus + create_transformer_from_parameters(net, hv_bus, aux_bus, net.trafo.at[trafo_idx, 'sn_mva'], + net.bus.at[hv_bus, 'vn_kv'], net.bus.at[aux_bus, 'vn_kv'], 1e-6, 1e-5, 0, 0) + + +@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) +def test_branch_all_currents_trafo_simple_other_voltage3(inverse_y): + net = net_transformer_simple_3() + net.trafo.at[1, "vn_hv_kv"] = 31 + net.trafo.at[2, "vn_hv_kv"] = 11 + + calc_sc(net, case='max', lv_tol_percent=6., branch_results=True, bus=6, inverse_y=inverse_y) + + assert np.allclose(net.res_bus_sc.loc[6, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, + [1.16712302, 0.80860656, 0.10127268, 0.18141131], rtol=0, + atol=1e-6) + + res_line_sc = pd.DataFrame( + data=[ + [0.013691, 0.013691, -60.827605, 0.013691, 119.172395, 0.4132998, 0.7358034, -0.413244, -0.735716, 1.186326, + -0.150470, 1.186180, -0.150091], + [0.042441, 0.042441, -60.827605, 0.042441, 119.172395, 0.412972, 0.732456, -0.4124366, -0.7316133, 1.143870, + -0.242663, 1.142514, -0.239117], + [1.167123, 1.167123, -60.827605, 1.167123, 119.172395, 0.404566, 0.637498, 0, 0, 0.933749, -3.227445, + 0.000000, 0.000000]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + relevant = [c for c in net.res_line_sc.columns if + not np.all(np.isnan(net.res_line_sc[c])) and c in res_line_sc.columns] + assert np.allclose(net.res_line_sc.loc[:, relevant], res_line_sc.loc[:, relevant], rtol=0, atol=1e-6) + res_trafo_sc = pd.DataFrame( + data= + [[0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 1.186326, - 0.150470, + 1.186326, - 0.150470], + [0.013691, - 60.827605, 0.042441, 119.172395, 0.413244, 0.735716, - 0.412972, - 0.732456, 1.186180, - 0.150091, + 1.143870, - 0.242663], + [0.042441, - 60.827605, 1.167123, 119.172395, 0.412437, 0.731613, - 0.404566, - 0.637498, 1.142514, - 0.239117, + 0.933749, - 3.227445]], + columns=['ikss_hv_ka', 'ikss_hv_degree', 'ikss_lv_ka', 'ikss_lv_degree', 'p_hv_mw', 'q_hv_mvar', 'p_lv_mw', + 'q_lv_mvar', 'vm_hv_pu', 'va_hv_degree', 'vm_lv_pu', 'va_lv_degree'] + ) + relevant = [c for c in net.res_trafo_sc.columns if not np.all(np.isnan(net.res_trafo_sc[c])) and c in res_trafo_sc] + assert np.allclose(net.res_trafo_sc.loc[:, relevant], res_trafo_sc.loc[:, relevant], rtol=0, atol=1e-6) + + net.trafo.at[1, "vn_hv_kv"] = 29 + net.trafo.at[2, "vn_hv_kv"] = 9 + + calc_sc(net, case='max', lv_tol_percent=6., branch_results=True, bus=6, inverse_y=inverse_y) + + assert np.allclose(net.res_bus_sc.loc[6, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, + [1.15940813, 0.80326152, 0.10147573, 0.18288051], rtol=0, + atol=1e-6) + + res_line_sc = pd.DataFrame( + data=[ + [0.017769, 0.017769, -60.975224, 0.017769, 119.024776, 0.408286, 0.728168, -0.4081925, -0.7280205, 0.904182, + - 0.254709, 0.903993, - 0.254055], + [0.051529, 0.051529, -60.975224, 0.051529, 119.024776, 0.407791, 0.723216, -0.4070021, -0.7219731, 0.930252, + - 0.392031, 0.928605, - 0.386736], + [1.159408, 1.159408, -60.975224, 1.159408, 119.024776, 0.399235, 0.629098, 0, 0, 0.927576, - 3.375064, 0, + 0]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + relevant = [c for c in net.res_line_sc.columns if not np.all(np.isnan(net.res_line_sc[c])) and c in res_line_sc] + assert np.allclose(net.res_line_sc.loc[:, relevant], res_line_sc.loc[:, relevant], rtol=0, atol=1e-6) + res_trafo_sc = pd.DataFrame( + data= + [[0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.904182, - 0.254709, + 0.904182, - 0.254709], + [0.017769, - 60.975224, 0.051529, 119.024776, 0.408192, 0.728021, - 0.407791, - 0.723216, 0.903993, - 0.254055, + 0.930252, - 0.392031], + [0.051529, - 60.975224, 1.159408, 119.024776, 0.407002, 0.721973, - 0.399235, - 0.629098, 0.928605, - 0.386736, + 0.927576, - 3.375064]], + columns=['ikss_hv_ka', 'ikss_hv_degree', 'ikss_lv_ka', 'ikss_lv_degree', 'p_hv_mw', 'q_hv_mvar', 'p_lv_mw', + 'q_lv_mvar', 'vm_hv_pu', 'va_hv_degree', 'vm_lv_pu', 'va_lv_degree'] + ) + relevant = [c for c in net.res_trafo_sc.columns if not np.all(np.isnan(net.res_trafo_sc[c])) and c in res_trafo_sc] + assert np.allclose(net.res_trafo_sc.loc[:, relevant], res_trafo_sc.loc[:, relevant], rtol=0, atol=1e-6) + + net.trafo.at[1, "vn_hv_kv"] = 31 + net.trafo.at[2, "vn_hv_kv"] = 11 + + calc_sc(net, case='max', lv_tol_percent=6., branch_results=True, bus=4, inverse_y=inverse_y) + assert np.allclose(net.res_bus_sc.loc[4, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, + [3.490484425, 60.45696064, 0.26224866, 1.80047754], rtol=0, + atol=3e-6) + res_line_sc = pd.DataFrame( + data=[ + [1.125963, 1.125963, -81.712857, 1.125963, 98.287143, 5.838649, 28.341696, -5.462115, -27.748369, 0.494590, + - 3.353461, 0.483378, - 2.848843], + [3.490484, 3.490484, -81.712857, 3.490484, 98.287143, 3.618494, 5.701869, 0, 0, 0.111701, - 24.112697, 0, + 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + relevant = [c for c in net.res_line_sc.columns if not np.all(np.isnan(net.res_line_sc[c])) and c in res_line_sc] + assert np.allclose(net.res_line_sc.loc[:, relevant], res_line_sc.loc[:, relevant], rtol=0, atol=1e-6) + res_trafo_sc = pd.DataFrame( + data=[[0, 0, 0, 0, 0, 0, 0, 0, 0.494590, -3.353461, 0.494590, -3.353461], + [1.125963, - 81.712857, 3.490484, 98.287143, 5.462115, 27.748369, -3.618494, -5.701869, 0.483378, + -2.848843, 0.111701, -24.112697], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], + columns=['ikss_hv_ka', 'ikss_hv_degree', 'ikss_lv_ka', 'ikss_lv_degree', 'p_hv_mw', 'q_hv_mvar', 'p_lv_mw', + 'q_lv_mvar', 'vm_hv_pu', 'va_hv_degree', 'vm_lv_pu', 'va_lv_degree'] + ) + relevant = [c for c in net.res_trafo_sc.columns if not np.all(np.isnan(net.res_trafo_sc[c])) and c in res_trafo_sc] + assert np.allclose(net.res_trafo_sc.loc[:, relevant], res_trafo_sc.loc[:, relevant], rtol=0, atol=1e-6) + + net.trafo.at[1, "vn_hv_kv"] = 30 + net.trafo.at[2, "vn_hv_kv"] = 10 + net.trafo.at[1, "vn_lv_kv"] = 9 + net.trafo.at[2, "vn_lv_kv"] = 0.42 + + calc_sc(net, case='max', lv_tol_percent=6., branch_results=True, bus=6, inverse_y=inverse_y) + + assert np.allclose(net.res_bus_sc.loc[6, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, + [1.153265, 0.799006, 0.101542, 0.184117], rtol=0, atol=1e-6) + res_line_sc = pd.DataFrame( + data=[[0.014531, 0.014531, - 61.122864, 0.014531, 118.877136, 0.404535, 0.728398, - 0.404473, - 0.728299, + 1.103480, - 0.169658, 1.103325, - 0.169187], + [0.048437, 0.048437, - 61.122864, 0.048437, 118.877136, 0.404185, 0.724860, - 0.403488, - 0.723762, + 0.989244, - 0.267095, 0.987697, - 0.261989], + [1.153265, 1.153265, - 61.122864, 1.153265, 118.877136, 0.395016, 0.622450, 0, 0, 0.922662, - 3.522703, 0, + 0]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + relevant = [c for c in net.res_line_sc.columns if not np.all(np.isnan(net.res_line_sc[c])) and c in res_line_sc] + assert np.allclose(net.res_line_sc.loc[:, relevant], res_line_sc.loc[:, relevant], rtol=0, atol=1e-6) + res_trafo_sc = pd.DataFrame( + data=[[0, 0, 0, 0, 0, 0, 0, 0, 1.103480, - 0.169658, 1.103480, - 0.169658], + [0.014531, - 61.122864, 0.048437, 118.877136, 0.404473, 0.728299, - 0.404185, - 0.72486, 1.103325, + - 0.169187, 0.989244, - 0.267095], + [0.048437, - 61.122864, 1.153265, 118.877136, 0.403488, 0.723762, - 0.395016, - 0.62245, 0.987697, + - 0.261989, 0.922662, - 3.522703]], + columns=['ikss_hv_ka', 'ikss_hv_degree', 'ikss_lv_ka', 'ikss_lv_degree', 'p_hv_mw', 'q_hv_mvar', 'p_lv_mw', + 'q_lv_mvar', 'vm_hv_pu', 'va_hv_degree', 'vm_lv_pu', 'va_lv_degree'] + ) + relevant = [c for c in net.res_trafo_sc.columns if not np.all(np.isnan(net.res_trafo_sc[c])) and c in res_trafo_sc] + assert np.allclose(net.res_trafo_sc.loc[:, relevant].values, res_trafo_sc.loc[:, relevant], rtol=0, atol=1e-6) + + +@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) +def test_type_c_trafo_simple_other_voltage4(inverse_y): + # this tests with options for different transformer nominal voltages + net = net_transformer_simple_4() + net.sgen.in_service = False + + # net.trafo.at[1, "vn_hv_kv"] = 31 + net.trafo.at[2, "vn_hv_kv"] = 11 + + runpp(net) + calc_sc(net, case='max', lv_tol_percent=6., branch_results=True, bus=6, use_pre_fault_voltage=True, + inverse_y=inverse_y) + + baseMVA = net.sn_mva # MVA + baseV = net.bus.vn_kv.values # kV + # baseI = baseMVA / (baseV * np.sqrt(3)) + # baseZ = baseV ** 2 / baseMVA + + assert np.allclose(net.res_bus_sc.loc[6, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, + [2.096122, 1.452236, 0.054549, 0.085178], rtol=0, atol=1e-6) + + res_line_sc = pd.DataFrame( + data=[[0.012104, 0.010331, -52.747518, 0.012104, 121.050735, 0.322524, 0.419803, -0.322487, -0.529717, 0.986152, + -0.281725, 0.986032, -0.281941], + [0.036634, 0.036019, -59.720977, 0.036634, 119.710805, 0.312602, 0.527369, -0.312210, -0.538872, 0.982660, + -0.378583, 0.981499, -0.376180], + [0.998604, 0.998594, -61.123876, 0.998604, 118.875767, 0.296171, 0.466687, 0, 0, 0.798926, -3.524072, 0, + 0], + [0.044289, 0.043675, -59.839870, 0.044289, 119.691851, 0.377698, 0.639716, -0.377123, -0.650913, 0.982060, + -0.398116, 0.980654, -0.395135], + [1.097518, 1.097507, -61.142831, 1.097518, 118.856813, 0.357750, 0.563720, 0, 0, 0.878062, -3.543027, 0, + 0]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + non_i_degree = [c for c in net.res_line_sc.columns if + c not in ["ikss_from_degree", "ikss_to_degree"] and c in res_line_sc] + i_degree = [c for c in net.res_line_sc.columns if c in ["ikss_from_degree", "ikss_to_degree"] and c in res_line_sc] + assert np.allclose(net.res_line_sc.loc[:, non_i_degree], res_line_sc.loc[:, non_i_degree], rtol=0, atol=2e-6) + assert np.allclose(net.res_line_sc.loc[:, i_degree], res_line_sc.loc[:, i_degree], rtol=0, atol=2e-4) + + res_trafo_sc = pd.DataFrame( + data=[ + [0.014655, -59.201943, 0.043675, 120.160131, 0.387670, 0.643162, -0.377698, -0.639716, 0.986152, -0.281725, + 0.982060, -0.398116], + [0.012104, -58.949266, 0.036019, 120.279024, 0.322487, 0.529717, -0.312602, -0.527369, 0.986032, -0.281941, + 0.982660, -0.378583], + [0.036634, -60.289196, 0.998594, 118.876124, 0.312210, 0.538872, -0.296171, -0.466687, 0.981499, -0.376180, + 0.798926, -3.524072], + [0.044289, -60.308150, 1.097507, 118.857170, 0.377123, 0.650913, -0.357750, -0.563720, 0.980654, -0.395135, + 0.878062, -3.543027]], + columns=['ikss_hv_ka', 'ikss_hv_degree', 'ikss_lv_ka', 'ikss_lv_degree', 'p_hv_mw', 'q_hv_mvar', 'p_lv_mw', + 'q_lv_mvar', 'vm_hv_pu', 'va_hv_degree', 'vm_lv_pu', 'va_lv_degree'] + ) + non_i_degree = [c for c in net.res_trafo_sc.columns if + c not in ["ikss_hv_degree", "ikss_lv_degree"] and c in res_trafo_sc] + i_degree = [c for c in net.res_trafo_sc.columns if c in ["ikss_lv_degree", "ikss_lv_degree"] and c in res_trafo_sc] + assert np.allclose(net.res_trafo_sc.loc[:, non_i_degree], res_trafo_sc.loc[:, non_i_degree], rtol=0, atol=2e-6) + assert np.allclose(net.res_trafo_sc.loc[:, i_degree], res_trafo_sc.loc[:, i_degree], rtol=0, atol=1e-5) + + +@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) +def test_type_c_trafo_simple_other_voltage4_sgen(inverse_y): + # this tests for 2 different topology configurations: ring and open ring, + # with options for different transformer nominal voltages, with load and sgen + # topology tests: open switch, out of service bus (important to test internal indexing) + net = net_transformer_simple_4() + net.sgen.p_mw = 20 + net.sgen.q_mvar = 0 + net.sgen.kappa = 1 + net.sgen.k = 1.2 + create_load(net, 7, 10, 3) + create_switch(net, 6, 4, 'l', False) + + net.trafo.at[1, "vn_hv_kv"] = 31 + net.trafo.at[2, "vn_lv_kv"] = 0.42 + + runpp(net) + calc_sc(net, case='max', lv_tol_percent=6., branch_results=True, bus=6, use_pre_fault_voltage=True, + inverse_y=inverse_y) + + baseMVA = net.sn_mva # MVA + baseV = net.bus.vn_kv.values # kV + baseI = baseMVA / (baseV * np.sqrt(3)) + baseZ = baseV ** 2 / baseMVA + + assert np.allclose(net.res_bus_sc.loc[6, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, + [1.12072796, 0.77646312, 0.11355049, 0.15946966], rtol=0, + atol=1e-6) + + res_line_sc = pd.DataFrame( + data=[[0.37233817, 0.37202159, -171.92326236, 0.37233817, 8.4072921, -19.05762949, 2.78907414, 19.09876936, + -2.83670764, 0.99637, -0.24936231, 0.99798561, -0.04098874], + [0.04744828, 0.04684176, -52.75384134, 0.04744828, 126.82145161, 0.39363348, 0.67731344, -0.39297336, + -0.68797096, 0.9655717, 7.08233793, 0.96406436, 7.08617078], + [1.12072796, 1.12071697, -53.94177232, 1.12072796, 126.05787127, 0.37304125, 0.58781451, 0., 0., + 0.89663052, 3.65803177, 0., 0.], + [0.6275538, 0.62734921, -21.12040944, 0.6275538, 158.81863754, 10.05721887, 3.15086826, -9.94029022, + -2.97825453, 0.96992777, -3.72493869, 0.95467304, -4.50238709], + [0., 0.0000277, 85.40612729, 0., 0., 0., -0.00001832, 0., 0., 0.95459186, -4.56234781, 0.95460121, + -4.56270483]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + + non_degree = [c for c in net.res_line_sc.columns if not "degree" in c and c in res_line_sc] + degree = [c for c in net.res_line_sc.columns if "degree" in c and c in res_line_sc] + assert np.allclose(net.res_line_sc.loc[:, non_degree], res_line_sc.loc[:, non_degree], rtol=0, atol=6e-5) + assert np.allclose(net.res_line_sc.loc[:, degree], res_line_sc.loc[:, degree], rtol=0, atol=0.05) + + res_trafo_sc = pd.DataFrame( + data=[[0.20929507, -21.10342929, 0.62734921, 158.87959058, 10.1259613, 3.85742992, -10.05721888, -3.15086826, + 0.99637, -0.24936231, 0.96992777, -3.72493869], + [0.37233817, -171.5927079, 1.15480275, 8.40493491, -19.09876937, 2.83670764, 19.30799817, -0.44577867, + 0.99798561, -0.04098874, 0.9655717, 7.08233793], + [0.04744828, -53.17854903, 1.12071698, 126.05822829, 0.39297335, 0.68797096, -0.37304126, -0.58781451, + 0.96406436, 7.08617078, 0.89663052, 3.65803177], + [0.00077159, -4.48005446, 0.0000277, -94.62521878, 0.01275854, -0.00000497, 0., 0.00001832, 0.95467304, + -4.50238709, 0.95459186, -4.56234781]], + columns=['ikss_hv_ka', 'ikss_hv_degree', 'ikss_lv_ka', 'ikss_lv_degree', 'p_hv_mw', 'q_hv_mvar', 'p_lv_mw', + 'q_lv_mvar', 'vm_hv_pu', 'va_hv_degree', 'vm_lv_pu', 'va_lv_degree'] + ) + non_degree = [c for c in net.res_trafo_sc.columns if "degree" not in c and c in res_trafo_sc] + degree = [c for c in net.res_trafo_sc.columns if "degree" in c and c in res_trafo_sc] + assert np.allclose(net.res_trafo_sc.loc[:, non_degree], res_trafo_sc.loc[:, non_degree], rtol=0, atol=1e-5) + assert np.allclose(net.res_trafo_sc.loc[:, degree], res_trafo_sc.loc[:, degree], rtol=0, atol=0.07) + + +@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) +def test_type_c_sgen_trafo4(inverse_y): + net = pandapowerNet(name="test_type_c_sgen_trafo4", sn_mva=100) + create_buses(net, 2, 110) + create_ext_grid(net, 0, s_sc_max_mva=100, s_sc_min_mva=80, rx_max=0.4, rx_min=0.4) + create_line_from_parameters(net, 0, 1, 20, 0.0949, 0.38, 9.2, 0.74) + create_sgen(net, 1, 30, 0, 50, k=1, kappa=1) + runpp(net) + calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=1, inverse_y=inverse_y) + + assert np.allclose(net.res_bus_sc.loc[:, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, + [0.680859, 129.720994, 3.049814, 152.46668], rtol=0, atol=1e-5) + + res_line_sc = pd.DataFrame( + data=[[0.4184267, 0.41833479, -87.77946741, 0.4184267, 92.21738882, 0.99691065, 3.99091307, 0., 0., + 0.05161055, -11.80466263, 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) + + net.sgen.at[0, 'kappa'] = 1.2 + calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=1, inverse_y=inverse_y) + + assert np.allclose(net.res_bus_sc.loc[:, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], + [0.6821, 129.95747, 3.049814, 152.46668], rtol=0, atol=1e-5) + + res_line_sc = pd.DataFrame( + data=[[0.4184267, 0.41833479, -87.77946741, 0.4184267, 92.21738882, 0.99691065, 3.99091307, 0., 0., 0.05161055, + -11.80466263, 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) + + +@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) +def test_load_type_c(inverse_y): + net = pandapowerNet(name="test_load_type_c", sn_mva=100) + create_buses(net, 3, 110) + create_ext_grid(net, 0, s_sc_max_mva=100, rx_max=0.1) + create_line_from_parameters(net, 0, 1, 20, 0.0949, 0.38, 9.2, 0.74) + create_line_from_parameters(net, 1, 2, 20, 0.099, 0.156, 400, 0.74) + create_load(net, 1, 10, 3) + + runpp(net) + calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) + + res_bus_sc = np.array([0.31443438, 59.9077952, 66.64954063, 194.98202182]) + assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, + rtol=0, atol=1e-5) + + res_line_sc = pd.DataFrame( + data=[[0.31393855, 0.31381306, -71.61339493, 0.31393855, 108.37684429, 1.15160782, 3.16677295, -0.59052299, + -0.92129652, 0.05635891, -1.59736465, 0.01829535, -14.28178926], + [0.31443438, 0.31320255, -71.73882892, 0.31443438, 108.11805023, 0.58728173, 0.92032414, 0., 0., + 0.01829535, -14.28178926, 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) + + # now test for fault at the load bus + calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=1, inverse_y=inverse_y) + res_bus_sc = np.array([0.32128852, 61.21368488, 63.19657030, 190.67254950]) + assert np.allclose(net.res_bus_sc.loc[1, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, res_bus_sc, rtol=0, + atol=1e-5) + + res_line_sc = pd.DataFrame( + data=[[0.32128852, 0.32121795, -72.27006831, 0.32128852, 107.72678791, 0.58777062, 2.35301071, -0.0000001, + -0.0000001, 0.03962911, 3.70473647, 0., 0.], [0., 0., 0., 0., 0., 0., -0., 0., 0., 0., 0., 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) + + # now try with positive p_mw, negative q_mvar + net.load.q_mvar = -2 + runpp(net) + calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) + + res_bus_sc = np.array([0.29176418, 55.58854147, 77.40936019, 208.87369732]) + assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, res_bus_sc, rtol=0, + atol=1e-5) + + res_line_sc = pd.DataFrame( + data=[[0.29093901, 0.29082267, -70.14924675, 0.29093901, 109.84097608, 0.9903086, 2.72035994, -0.50842396, + -0.79184572, 0.05224782, -0.1525674, 0.01697628, -12.86251045], + [0.29176418, 0.29062116, -70.31955011, 0.29176418, 109.53732905, 0.50565042, 0.79240043, 0, 0, 0.01697628, + -12.86251045, 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) + + # now try with negative p_mw, negative q_mvar + net.load.p_mw = -5 + runpp(net) + calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) + + res_bus_sc = np.array([0.27677319, 52.73237570, 22.92942615, 234.25805144]) + assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, rtol=0, + atol=1.1e-5) + + res_line_sc = pd.DataFrame( + data=[[0.27533477, 0.27522443, -84.57867986, 0.27533477, 95.41156578, 0.88536175, 2.43975772, -0.45378216, + -0.71256769, 0.04949597, -14.52396818, 0.01610403, -27.07850858], + [0.27677319, 0.27568891, -84.53554824, 0.27677319, 95.32133091, 0.4550242, 0.7130645, 0, 0, 0.01610403, + -27.07850858, 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1.1e-6) + + # now try with zero p_mw and q_mvar, but the load still present + net.load.p_mw = 0 + net.load.q_mvar = 0 + + runpp(net) + calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) + + res_bus_sc = np.array([0.28905271, 55.07193832, 40.36906664, 221.27455269]) + assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, rtol=0, atol=1e-5) + + res_line_sc = pd.DataFrame( + data=[[0.28792032, 0.28780504, -79.93483554, 0.28792032, 100.05540903, 0.96823224, 2.66644109, -0.49629573, + -0.77774077, 0.05173395, -9.8916964, 0.01681852, -22.48755131], + [0.28905271, 0.28792032, -79.94459097, 0.28905271, 99.91228819, 0.49629573, 0.77774077, 0, 0, 0.01681852, + -22.48755131, 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) + + +@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) +def test_sgen_type_c(inverse_y): + net = pandapowerNet(name="test_sgen_type_c", sn_mva=100) + create_buses(net, 3, 110) + create_ext_grid(net, 0, s_sc_max_mva=100, rx_max=0.1, s_sc_min_mva=80, rx_min=0.4) + create_line_from_parameters(net, 0, 1, 20, 0.0949, 0.38, 9.2, 0.74) + create_line_from_parameters(net, 1, 2, 20, 0.099, 0.156, 400, 0.74) + create_sgen(net, 1, 10, 3, 20, k=0, kappa=0) + + # first we test the contribution of the shunt impedance component only + runpp(net) + calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) + + res_bus_sc = np.array([0.27140996, 51.71054206, 1.86837663, 240.35204316]) + assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, res_bus_sc, rtol=0, + atol=1.1e-5) + + res_line_sc = pd.DataFrame( + data=[[0.26972109, 0.26961292, -89.61895148, 0.26972109, 90.37129854, 0.84933852, 2.34245931, -0.43517822, + -0.68498246, 0.0485064, -19.54879135, 0.01579197, -32.05702438], + [0.27140996, 0.27034668, -89.51406404, 0.27140996, 90.34281512, 0.43756039, 0.68569712, 0, 0, 0.01579197, + -32.05702438, 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1.5e-6) + + net.sgen.k = 1. + net.sgen.kappa = 1. + + runpp(net) + calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) + + res_bus_sc = np.array([0.37460791, 71.37239201, 1.86837663, 240.35204316]) + assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, rtol=0, + atol=1.1e-5) + + res_line_sc = pd.DataFrame( + data=[[0.26731345, 0.26718739, -89.36194328, 0.26731345, 90.6256479, 1.00620834, 2.56195025, -0.59943766, + -0.93434154, 0.05406945, -20.80440736, 0.02179654, -32.05702438], + [0.37460791, 0.37314034, -89.51406404, 0.37460791, 90.34281512, 0.83356663, 1.30627509, 0, 0, 0.02179654, + -32.05702438, 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1.5e-6) + + net.sgen.p_mw = 5 + net.sgen.kappa = 1.2 + runpp(net) + calc_sc(net, use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) + + res_bus_sc = np.array([0.3757975, 71.59903955, 23.71256985, 238.47843258]) + assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, rtol=0, + atol=1.1e-5) + + res_line_sc = pd.DataFrame( + data=[[0.26809978, 0.26797339, -84.23219467, 0.26809978, 95.75537616, 1.01346202, 2.57650331, -0.60429464, + -0.93930479, 0.05422812, -15.70428288, 0.02186576, -26.99952079], + [0.3757975, 0.37432527, -84.45656046, 0.3757975, 95.4003187, 0.83886913, 1.31458458, 0, 0, 0.02186576, + -26.99952079, 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1.1e-6) + + runpp(net) + calc_sc(net, case="min", use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y) + + res_bus_sc = np.array([0.33334, 63.509772, 152.076986, 240.321483]) + assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, rtol=0, atol=4e-5) + + res_line_sc = pd.DataFrame( + data=[[0.22549428, 0.22549428, -57.7247817, 0.2256038, 122.26232395, 0.73906755, 1.86147343, -0.44933665, + -0.70222018, 0.04661803, 10.62047628, 0.01939536, -0.35204102], + [0.33203396, 0.33203396, -57.80908069, 0.33333986, 122.04779847, 0.66002583, 1.03432079, 0., 0., + 0.01939536, -0.35204102, 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=4e-6) + + # test with fault impedance + runpp(net) + calc_sc(net, case="max", use_pre_fault_voltage=True, branch_results=True, bus=2, inverse_y=inverse_y, + r_fault_ohm=10, x_fault_ohm=5) + + res_bus_sc = np.array([0.36193148, 68.95720876, 33.71256985, 243.47843258]) + assert np.allclose(net.res_bus_sc.loc[2, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]], res_bus_sc, rtol=0, + atol=1.1e-5) + + res_line_sc = pd.DataFrame( + data=[[0.25310399, 0.25289333, -79.00626669, 0.25310399, 100.93191475, 3.76673885, 3.49235098, -3.4021955, + -2.03898166, 0.1066072, -36.17097137, 0.08225171, -48.13325967], + [0.36193148, 0.35610158, -80.79001608, 0.36193148, 97.60508469, 4.69831427, 3.01125907, -3.92983193, + -1.96491597, 0.08225171, -48.13325967, 0.06371612, -55.82986413]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) + + +def test_trafo_3w(): + pass + + +@pytest.mark.parametrize("trafo_impedance_case", ["max", "min"]) +def test_trafo_impedance(trafo_impedance_case): + case = trafo_impedance_case + + net = pandapowerNet(name=f"test_{case}_trafo_impedance", sn_mva=0.16) + create_bus(net, 20) + create_buses(net, 2, 0.4) + create_ext_grid(net, 0, s_sc_max_mva=100, s_sc_min_mva=80, rx_max=0.1, rx_min=0.1) + v_lv = 410 + create_transformer_from_parameters( + net=net, + hv_bus=0, + lv_bus=1, + sn_mva=1, + vn_hv_kv=20, + vn_lv_kv=0.4, + vkr_percent=0.96, + vk_percent=6, + pfe_kw=0, + i0_percent=0 + ) + create_line_from_parameters( + net=net, + from_bus=1, + to_bus=2, + length_km=0.5, + r_ohm_per_km=0.208, + x_ohm_per_km=0.068, + c_nf_per_km=1, + max_i_ka=1, + parallel=1, + endtemp_degree=20 + ) + # create_load(net, 2, 0.1) + + # runpp(net) + + # trafo: + # v_lv = 410 + # z_tlv = 4 / 100 * v_lv ** 2 / (400 * 1e3) + # r_tlv = 4600 * v_lv ** 2 / ((400 * 1e3) ** 2) + # x_tlv = np.sqrt(z_tlv ** 2 - r_tlv ** 2) + # z_tlv = r_tlv + 1j * x_tlv + # x_t = x_tlv * 400 * 1e3 / (v_lv ** 2) + # k_t = 0.95 * 1.05 / (1 + 0.6 * x_t) + # z_tk = k_t * z_tlv + + calc_sc(net, case=case, lv_tol_percent=6., bus=2, branch_results=True, use_pre_fault_voltage=False) + + # min test case + if trafo_impedance_case == "min": + assert np.allclose(net.res_bus_sc.ikss_ka, 1.906175, rtol=0, atol=1e-3) + assert np.allclose(net.res_bus_sc.skss_mw, 1.320637, rtol=0, atol=1e-5) + assert np.allclose(net.res_bus_sc.rk_ohm, 0.106, rtol=0, atol=1e-3) + assert np.allclose(net.res_bus_sc.xk_ohm, 0.045, rtol=0, atol=1e-3) + + # max test case + else: + assert np.allclose(net.res_bus_sc.ikss_ka, 2.112413, rtol=0, atol=1e-3) + assert np.allclose(net.res_bus_sc.skss_mw, 1.463523, rtol=0, atol=1e-5) + assert np.allclose(net.res_bus_sc.rk_ohm, 0.106, rtol=0, atol=1e-3) + assert np.allclose(net.res_bus_sc.xk_ohm, 0.045, rtol=0, atol=1e-3) + + + # ppci = net.ppci + # tap = ppci["branch"][:, TAP].real + # ikss1 = ppci["bus"][:, IKSS1] * np.exp(1j * np.deg2rad(ppci["bus"][:, PHI_IKSS1_DEGREE])) + + # line: + # z_l = 0.416 * 1e-3 + 1j * 0.136 * 1e-3 # Ohm + # + # v_1 = ikss1[2] * z_l / 0.4 * np.sqrt(3) # kA * Ohm / V_base -> p.u. + # np.abs(v_1) + # np.angle(v_1, deg=True) + # + # v_0 = v_1 + ikss1[2] * z_tk / 0.4 * np.sqrt(3) * 0.4 / 0.41 + # np.abs(v_0) + # np.angle(v_0, deg=True) + # + # v_0_ref = v_1 + ikss1[2] * z_tk / 0.4 * np.sqrt(3) + # + # Yf = ppci["internal"]["Yf"] + # Yt = ppci["internal"]["Yt"] + # V_diff = np.ones_like(net.bus.index.values, dtype=np.complex128) + # V_diff[0] = v_0 + # V_diff[1] = v_1 + # V_diff[2] = 0 + # i_f = Yf.dot(V_diff) / ppci["internal"]["baseI"][ppci["branch"][:, F_BUS].real.astype(np.int64)] + # i_t = Yt.dot(V_diff) / ppci["internal"]["baseI"][ppci["branch"][:, T_BUS].real.astype(np.int64)] + # abs(i_f) + # abs(i_t) + + +@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) +def test_one_line(inverse_y): + net = pandapowerNet(name="test_one_line", sn_mva=1) + b1 = create_bus(net, vn_kv=10.) + b2 = create_bus(net, vn_kv=10.) + create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) + create_line_from_parameters(net, b1, b2, 1, 0.099, 0.156, 400, 0.457) + create_load(net, b2, 20) + runpp(net) + + bus_idx = 1 + calc_sc(net, case='max', branch_results=True, bus=bus_idx, use_pre_fault_voltage=True, inverse_y=inverse_y) + + assert np.allclose(net.res_bus_sc.loc[1, ["ikss_ka", "skss_mw", "rk_ohm", "xk_ohm"]].values, + [4.79606369, 83.07025981, 0.47005260, 1.08109377], rtol=0, + atol=1e-5) + + res_line_sc = pd.DataFrame( + data=[[4.79606369, 4.79601668, -68.32665507, 4.79606369, 111.67298852, 6.83166135, 10.76489439, + 0., 0., 0.15348228, -10.72685098, 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) + + +@pytest.mark.parametrize("inverse_y", (True, False), ids=("Inverse Y", "LU factorization")) +def test_return_all_currents(inverse_y): + net = pandapowerNet(name="test_return_all_currents", sn_mva=1) + b1 = create_bus(net, vn_kv=10.) + b2 = create_bus(net, vn_kv=10.) + create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) + create_line_from_parameters(net, b1, b2, 1, 0.099, 0.156, 400, 0.457) + create_load(net, b2, 20) + runpp(net) + + bus_idx = [0, 1] + + # first test Type C: + calc_sc(net, case='max', branch_results=True, bus=bus_idx, return_all_currents=True, use_pre_fault_voltage=True, + inverse_y=inverse_y) + res_line_sc = pd.DataFrame( + data=[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], + [4.79606369, 4.79601668, -68.32665507, 4.79606369, 111.67298852, 6.83166135, 10.76489439, 0, 0, + 0.15348228, -10.72685098, 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1e-6) + + # test Type A: + calc_sc(net, case='max', branch_results=True, return_all_currents=True, bus=bus_idx, use_pre_fault_voltage=False, + inverse_y=inverse_y) + res_line_sc = pd.DataFrame( + data=[[0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], + [5.00936688, 5.00936688, -80.53631328, 5.00936688, 99.46368672, 7.45284566, + 11.74387832, 0, 0, 0.16030835, -22.93615278, 0., 0.]], + columns=["ikss_ka", "ikss_from_ka", "ikss_from_degree", "ikss_to_ka", "ikss_to_degree", "p_from_mw", + "q_from_mvar", "p_to_mw", "q_to_mvar", "vm_from_pu", "va_from_degree", "vm_to_pu", "va_to_degree"] + ) + assert np.allclose(net.res_line_sc.loc[:, res_line_sc.columns], res_line_sc, rtol=0, atol=1.5e-6) + + # several buses not implemented for Type C + create_sgen(net, 1, 0) + with pytest.raises(NotImplementedError): + calc_sc(net, case='max', branch_results=True, bus=bus_idx, use_pre_fault_voltage=True, inverse_y=inverse_y) + + +def test_branch_all_currents_trafo(): + net = net_transformer() + calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=10., branch_results=True, return_all_currents=True) + + assert (abs(net.res_trafo_sc.ikss_lv_ka.loc[(0, 0)] - 0.) < 1e-5) + assert (abs(net.res_trafo_sc.ikss_lv_ka.loc[(0, 1)] - 0.) < 1e-5) + assert (abs(net.res_trafo_sc.ikss_lv_ka.loc[(0, 2)] - 16.992258758) < 1e-5) + + assert (abs(net.res_trafo_sc.ikss_hv_ka.loc[(0, 0)] - 0.) < 1e-5) + assert (abs(net.res_trafo_sc.ikss_hv_ka.loc[(0, 1)] - 0.) < 1e-5) + assert (abs(net.res_trafo_sc.ikss_hv_ka.loc[(0, 2)] - 0.648795) < 1e-5) + + +def test_against_single_sc_results_line(): + net = three_bus_permuted_index() + + calc_sc(net, case="max", branch_results=True, return_all_currents=True) + multi_results = net.res_line_sc.copy() + + for bus in net.bus.index: + calc_sc(net, bus=bus, case="max", branch_results=True, return_all_currents=True) + line_bus_indices = [(line, bus) for line in net.line.index] + single_result = net.res_line_sc.ikss_ka.values + multi_result = multi_results.ikss_ka.loc[line_bus_indices].values + assert np.allclose(single_result, multi_result) + + +def test_against_single_sc_results_trafo(): + net = net_transformer() + calc_sc(net, case="max", branch_results=True, return_all_currents=True, inverse_y=False) + multi_results = net.res_trafo_sc.copy() + + for bus in net.bus.index[net.bus.in_service]: + calc_sc(net, bus=bus, case="max", branch_results=True, return_all_currents=True, inverse_y=False) + trafo_bus_indices = [(trafo, bus) for trafo in net.trafo.index] + single_result_lv = net.res_trafo_sc.ikss_lv_ka.values + multi_result_lv = multi_results.ikss_lv_ka.loc[trafo_bus_indices].values + assert np.allclose(single_result_lv, multi_result_lv) + + single_result_hv = net.res_trafo_sc.ikss_hv_ka.values + multi_result_hv = multi_results.ikss_hv_ka.loc[trafo_bus_indices].values + assert np.allclose(single_result_hv, multi_result_hv) + + +def test_ward(): + net = pandapowerNet(name="test_ward", sn_mva=9) + create_buses(net, 2, 110) + create_ext_grid(net, 0, s_sc_max_mva=100, rx_max=0.1) + create_line_from_parameters(net, 0, 1, 1, 0.5, 0.5, 0, 1000) + create_ward(net, 1, 10, 5, 200, 100) + calc_sc(net) + ikss_ka = [1.209707, 1.209818] + rk_ohm = [57.719840, 57.678686] + xk_ohm = [-1.834709, -2.740132] + assert np.allclose(net.res_bus_sc.ikss_ka, ikss_ka, atol=1e-6, rtol=0) + assert np.allclose(net.res_bus_sc.rk_ohm, rk_ohm, atol=1e-6, rtol=0) + assert np.allclose(net.res_bus_sc.xk_ohm, xk_ohm, atol=1e-6, rtol=0) + + +def test_xward(): + net = pandapowerNet(name="test_xward", sn_mva=4) + create_buses(net, 2, 110) + create_ext_grid(net, 0, s_sc_max_mva=100, rx_max=0.1) + create_line_from_parameters(net, 0, 1, 1, 0.5, 0.5, 0, 1000) + create_xward(net, 1, 10, 5, 200, 100, 3, 1, vm_pu=1.02) + calc_sc(net) + ikss_ka = [1.209707, 1.209818] + rk_ohm = [57.719840, 57.678686] + xk_ohm = [-1.834709, -2.740132] + assert np.allclose(net.res_bus_sc.ikss_ka, ikss_ka, atol=1e-6, rtol=0) + assert np.allclose(net.res_bus_sc.rk_ohm, rk_ohm, atol=1e-6, rtol=0) + assert np.allclose(net.res_bus_sc.xk_ohm, xk_ohm, atol=1e-6, rtol=0) + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/shortcircuit/test_gen.py b/test/shortcircuit/test_gen.py similarity index 97% rename from pandapower/test/shortcircuit/test_gen.py rename to test/shortcircuit/test_gen.py index 734cb58fe8..20b569bf06 100644 --- a/pandapower/test/shortcircuit/test_gen.py +++ b/test/shortcircuit/test_gen.py @@ -1,216 +1,216 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import copy - -import numpy as np -import pandas as pd -import pytest - -from pandapower.create import create_bus, create_gen, create_line_from_parameters, create_switch, create_ext_grid -from pandapower.network import pandapowerNet -from pandapower.shortcircuit.calc_sc import calc_sc - - -@pytest.fixture -def one_line_one_generator(): - net = pandapowerNet(name="one_line_one_generator", sn_mva=23) - b1 = create_bus(net, vn_kv=10.) - b2 = create_bus(net, vn_kv=10.) - b3 = create_bus(net, vn_kv=10.) - create_bus(net, vn_kv=0.4, in_service=False) - create_gen(net, b1, vn_kv=10.5, xdss_pu=0.2, rdss_ohm=0.001, cos_phi=0.8, p_mw=0.1, sn_mva=2.5) - create_gen(net, b1, vn_kv=10.5, xdss_pu=0.2, rdss_ohm=0.001, cos_phi=0.8, p_mw=0.1, sn_mva=2.5) - line = create_line_from_parameters(net, b2, b1, length_km=1.0, max_i_ka=0.29, r_ohm_per_km=0.1548, - x_ohm_per_km=0.0816814, c_nf_per_km=165) - net.line.loc[line, "endtemp_degree"] = 165 - create_switch(net, b3, b1, et="b") - return net - - -@pytest.fixture -def gen_three_bus_example(): - net = pandapowerNet(name="gen_three_bus_example", sn_mva=12) - b1 = create_bus(net, vn_kv=10.) - b2 = create_bus(net, vn_kv=10.) - b3 = create_bus(net, vn_kv=10.) - # create_bus(net, vn_kv=0.4, in_service=False) - create_gen(net, b2, vn_kv=10.5, xdss_pu=0.2, rdss_ohm=0.001, cos_phi=0.8, p_mw=0.1, sn_mva=2.5) - create_line_from_parameters(net, b1, b2, length_km=1.0, max_i_ka=0.29, r_ohm_per_km=0.1548, x_ohm_per_km=0.0816814, - c_nf_per_km=165) - create_line_from_parameters(net, b2, b3, length_km=1.0, max_i_ka=0.29, r_ohm_per_km=0.1548, x_ohm_per_km=0.0816814, - c_nf_per_km=165) - net.line["endtemp_degree"] = 165 - create_ext_grid(net, b1, s_sc_max_mva=10., s_sc_min_mva=8., rx_min=0.4, rx_max=0.4) - # create_switch(net, b3, b1, et="b") - return net - - -def test_max_gen(one_line_one_generator): - net = one_line_one_generator - calc_sc(net, case="max", inverse_y=False) - assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], [1.5395815, 1.5083952, 1.5395815], atol=1e-3) - # assert abs(net.res_bus_sc.ikss_ka.at[0] - 1.5395815) < 1e-7 - # assert abs(net.res_bus_sc.ikss_ka.at[2] - 1.5395815) < 1e-7 - # assert abs(net.res_bus_sc.ikss_ka.at[1] - 1.5083952) < 1e-7 - assert pd.isnull(net.res_bus_sc.ikss_ka.at[3]) - - -def test_branch_max_gen(gen_three_bus_example): - net = gen_three_bus_example - calc_sc(net, case="max", branch_results=True) - assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([0.76204252, 1.28698045]), atol=1e-3) - - -def test_min_gen(one_line_one_generator): - net = one_line_one_generator - calc_sc(net, case="min") - assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], [1.3996195, 1.3697407, 1.3996195], atol=1e-3) - # assert abs(net.res_bus_sc.ikss_ka.at[0] - 1.3996195) < 1e-7 - # assert abs(net.res_bus_sc.ikss_ka.at[2] - 1.3996195) < 1e-7 - # assert abs(net.res_bus_sc.ikss_ka.at[1] - 1.3697407) < 1e-7 - assert pd.isnull(net.res_bus_sc.ikss_ka.at[3]) - - -def test_branch_min_gen(gen_three_bus_example): - net = gen_three_bus_example - calc_sc(net, case="min", branch_results=True) - assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([0.44487882, 1.10747517]), atol=1e-3) - - -def test_max_gen_fault_impedance(one_line_one_generator): - net = one_line_one_generator - calc_sc(net, case="max", r_fault_ohm=2, x_fault_ohm=10) - assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], [0.4450868, 0.4418823, 0.4450868], atol=1e-3) - # assert abs(net.res_bus_sc.ikss_ka.at[0] - 0.4450868) < 1e-7 - # assert abs(net.res_bus_sc.ikss_ka.at[1] - 0.4418823) < 1e-7 - # assert abs(net.res_bus_sc.ikss_ka.at[2] - 0.4450868) < 1e-7 - assert pd.isnull(net.res_bus_sc.ikss_ka.at[3]) - - -def test_gen_ext_grid_same_bus(): - net = pandapowerNet(name="test_gen_ext_grid_same_bus") - b = create_bus(net, 110) - - net1 = copy.deepcopy(net) - create_ext_grid(net1, b, s_sc_max_mva=1000, rx_max=0.4) - calc_sc(net1) - - net2 = copy.deepcopy(net) - create_gen(net2, b, 0, sn_mva=50, vn_kv=115, xdss_pu=0.2, rdss_ohm=20, cos_phi=0.8, pg_percent=0) - calc_sc(net2) - - net3 = copy.deepcopy(net1) - create_gen(net3, b, 0, sn_mva=50, vn_kv=115, xdss_pu=0.2, rdss_ohm=20, cos_phi=0.8, pg_percent=0) - calc_sc(net3) - - # no idea why it is not close to 1e-6 - assert np.isclose(net3.res_bus_sc.at[0, "ikss_ka"], - net1.res_bus_sc.at[0, "ikss_ka"] + net2.res_bus_sc.at[0, "ikss_ka"], rtol=0, atol=2e-4) - - -# def test_rdss_estimations(): -# net = pandapowerNet(name="test_rdss_estimations", sn_mva=1) -# b1 = create_bus(net, vn_kv=0.4) -# g1 = create_gen(net, b1, vn_kv=0.4, xdss_pu=0.1, cos_phi=0.8, p_mw=0.1, sn_mva=0.1) -# b2 = create_bus(net, vn_kv=20.) -# g2 = create_gen(net, b2, vn_kv=21., xdss_pu=0.2, cos_phi=0.85, p_mw=0.1, sn_mva=2.5) -# b3 = create_bus(net, vn_kv=20.) -# g3 = create_gen(net, b3, vn_kv=30., xdss_pu=0.25, cos_phi=0.9, p_mw=0.1, sn_mva=150) - -# calc_sc(net, case="max") -# assert np.isclose(net.res_bus_sc.ikss_ka.at[b1], 1.5130509845) -# net.gen.at[g1, "rdss_pu"] = net.gen.xdss_pu.at[g1] * 0.15 -# calc_sc(net, case="max") -# assert np.isclose(net.res_bus_sc.ikss_ka.at[b1], 1.5130509845) - -# calc_sc(net, case="max") -# assert np.isclose(net.res_bus_sc.ikss_ka.at[b2], 0.37894052506) -# net.gen.at[g2, "rdss_pu"] = net.gen.xdss_pu.at[g2] * 0.07 -# calc_sc(net, case="max") -# assert np.isclose(net.res_bus_sc.ikss_ka.at[b2], 0.37894052506) - -# calc_sc(net, case="max") -# assert np.isclose(net.res_bus_sc.ikss_ka.at[b3], 12.789334853) -# net.gen.at[g3, "rdss_pu"] = net.gen.xdss_pu.at[g3] * 0.05 -# calc_sc(net, case="max") -# assert np.isclose(net.res_bus_sc.ikss_ka.at[b3], 12.789334853) - - -# def test_close_to_gen_simple(): -# # from pandapower.shortcircuit import calc_sc -# # vars = {name: getattr(calc_sc, name) for name in -# # dir(calc_sc) if not name.startswith('__')} -# # globals().update(vars) -# # del vars, calc_sc -# # WIP -# net = pandapowerNet(name="test_close_to_gen_simple",) -# b1, b2, b3, b4, b5 = create_buses(net, 5, 20) -# # skss = np.sqrt(3) * 400 * 40 # we assume 40 kA sc current in the 400-kV EHV grid -# # create_ext_grid(net, b1, s_sc_max_mva=skss, s_sc_min_mva=0.8 * skss, rx_min=0.2, rx_max=0.4) -# create_gen(net, b3, vn_kv=20, xdss_pu=0.2, rdss_pu=0.2*0.07, cos_phi=0.8, p_mw=5, sn_mva=5) -# create_gen(net, b5, vn_kv=20, xdss_pu=0.2, rdss_pu=0.2*0.07, cos_phi=0.8, p_mw=10, sn_mva=10) - -# create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=10) -# create_line(net, b2, b3, std_type="305-AL1/39-ST1A 110.0", length_km=10) -# create_line(net, b3, b4, std_type="305-AL1/39-ST1A 110.0", length_km=50) -# create_line(net, b4, b5, std_type="305-AL1/39-ST1A 110.0", length_km=10) -# # calc_single_sc(net, b5) -# calc_sc(net, tk_s=5e-2) - - -# def test_close_to_gen_simple2(): -# # WIP -# net = pandapowerNet(name="test_close_to_gen_simple2") -# # b1, b2 = create_buses(net, 2, 110) -# b1 = create_bus(net, 70) -# # skss = np.sqrt(3) * 400 * 40 # we assume 40 kA sc current in the 400-kV EHV grid -# # create_ext_grid(net, b1, s_sc_max_mva=skss, s_sc_min_mva=0.8 * skss, rx_min=0.2, rx_max=0.4) -# create_gen(net, b1, vn_kv=70, xdss_pu=0.2, rdss_pu=0.2*0.07, cos_phi=0.8, p_mw=0, sn_mva=50) -# # create_gen(net, b3, vn_kv=70, xdss_pu=0.2, rdss_pu=0.001, cos_phi=0.8, p_mw=50, sn_mva=60) - -# # create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=10) -# # create_line(net, b2, b3, std_type="305-AL1/39-ST1A 110.0", length_km=10) -# # calc_single_sc(net, b2) -# calc_sc(net, tk_s=5e-2) - -# def test_generator_book(): -# net=pandapowerNet(name="test_generator_book") -# b1= create_bus(net, 110) -# b2= create_bus(net, 6) - -# create_ext_grid(net, b1, s_sc_max_mva=300, rx_max=0.1, s_sc_min_mva=250, rx_min=0.1) -# create_transformer_from_parameters(net, b1, b2, 25, 110, 6, 0.5, 15, 15,0.1) -# create_shunt(net, b2, 25, 0, 6) -# create_gen(net, b2, 0, 1, sn_mva=25, vn_kv=6.3, xdss_pu=0.11, cos_phi=np.cos(np.arcsin(0.8))) -# calc_sc(net, tk_s=2.5e-2) - -# def test_shunt(): -# net=pandapowerNet(name="test_shunt") -# b1= create_bus(net, 110) -# b2= create_bus(net, 110) - -# create_ext_grid(net, b1, s_sc_max_mva=300, rx_max=0.1) -# # create_shunt(net, b2, 25, 0, 6) -# create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=10) - -# calc_sc(net, tk_s=2.5e-2) - -# def test_power_station_unit(): -# net = pandapowerNet(name="test_power_station_unit") -# b1, b2, b3, b4 = create_buses(net, 4, 20) -# b5 = create_bus(net, 10) - -# create_ext_grid(net, b1, s_sc_max_mva=250, rx_max=0.1) - -# create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=10) -# create_line(net, b2, b3, std_type="305-AL1/39-ST1A 110.0", length_km=10) -# create_line(net, b3, b4, std_type="305-AL1/39-ST1A 110.0", length_km=50) - -# create_transformer_from_parameters(net, b4, b5, 25, 20, 10, 0.41104, 10.3, 0.1, 0.1) -# create_gen(net, b5, vn_kv=10, xdss_pu=0.12, cos_phi=0.8, p_mw=0, sn_mva=10) - -# calc_sc(net) - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import copy + +import numpy as np +import pandas as pd +import pytest + +from pandapower.create import create_bus, create_gen, create_line_from_parameters, create_switch, create_ext_grid +from pandapower.network import pandapowerNet +from pandapower.shortcircuit.calc_sc import calc_sc + + +@pytest.fixture +def one_line_one_generator(): + net = pandapowerNet(name="one_line_one_generator", sn_mva=23) + b1 = create_bus(net, vn_kv=10.) + b2 = create_bus(net, vn_kv=10.) + b3 = create_bus(net, vn_kv=10.) + create_bus(net, vn_kv=0.4, in_service=False) + create_gen(net, b1, vn_kv=10.5, xdss_pu=0.2, rdss_ohm=0.001, cos_phi=0.8, p_mw=0.1, sn_mva=2.5) + create_gen(net, b1, vn_kv=10.5, xdss_pu=0.2, rdss_ohm=0.001, cos_phi=0.8, p_mw=0.1, sn_mva=2.5) + line = create_line_from_parameters(net, b2, b1, length_km=1.0, max_i_ka=0.29, r_ohm_per_km=0.1548, + x_ohm_per_km=0.0816814, c_nf_per_km=165) + net.line.loc[line, "endtemp_degree"] = 165 + create_switch(net, b3, b1, et="b") + return net + + +@pytest.fixture +def gen_three_bus_example(): + net = pandapowerNet(name="gen_three_bus_example", sn_mva=12) + b1 = create_bus(net, vn_kv=10.) + b2 = create_bus(net, vn_kv=10.) + b3 = create_bus(net, vn_kv=10.) + # create_bus(net, vn_kv=0.4, in_service=False) + create_gen(net, b2, vn_kv=10.5, xdss_pu=0.2, rdss_ohm=0.001, cos_phi=0.8, p_mw=0.1, sn_mva=2.5) + create_line_from_parameters(net, b1, b2, length_km=1.0, max_i_ka=0.29, r_ohm_per_km=0.1548, x_ohm_per_km=0.0816814, + c_nf_per_km=165) + create_line_from_parameters(net, b2, b3, length_km=1.0, max_i_ka=0.29, r_ohm_per_km=0.1548, x_ohm_per_km=0.0816814, + c_nf_per_km=165) + net.line["endtemp_degree"] = 165 + create_ext_grid(net, b1, s_sc_max_mva=10., s_sc_min_mva=8., rx_min=0.4, rx_max=0.4) + # create_switch(net, b3, b1, et="b") + return net + + +def test_max_gen(one_line_one_generator): + net = one_line_one_generator + calc_sc(net, case="max", inverse_y=False) + assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], [1.5395815, 1.5083952, 1.5395815], atol=1e-3) + # assert abs(net.res_bus_sc.ikss_ka.at[0] - 1.5395815) < 1e-7 + # assert abs(net.res_bus_sc.ikss_ka.at[2] - 1.5395815) < 1e-7 + # assert abs(net.res_bus_sc.ikss_ka.at[1] - 1.5083952) < 1e-7 + assert pd.isnull(net.res_bus_sc.ikss_ka.at[3]) + + +def test_branch_max_gen(gen_three_bus_example): + net = gen_three_bus_example + calc_sc(net, case="max", branch_results=True) + assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([0.76204252, 1.28698045]), atol=1e-3) + + +def test_min_gen(one_line_one_generator): + net = one_line_one_generator + calc_sc(net, case="min") + assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], [1.3996195, 1.3697407, 1.3996195], atol=1e-3) + # assert abs(net.res_bus_sc.ikss_ka.at[0] - 1.3996195) < 1e-7 + # assert abs(net.res_bus_sc.ikss_ka.at[2] - 1.3996195) < 1e-7 + # assert abs(net.res_bus_sc.ikss_ka.at[1] - 1.3697407) < 1e-7 + assert pd.isnull(net.res_bus_sc.ikss_ka.at[3]) + + +def test_branch_min_gen(gen_three_bus_example): + net = gen_three_bus_example + calc_sc(net, case="min", branch_results=True) + assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([0.44487882, 1.10747517]), atol=1e-3) + + +def test_max_gen_fault_impedance(one_line_one_generator): + net = one_line_one_generator + calc_sc(net, case="max", r_fault_ohm=2, x_fault_ohm=10) + assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], [0.4450868, 0.4418823, 0.4450868], atol=1e-3) + # assert abs(net.res_bus_sc.ikss_ka.at[0] - 0.4450868) < 1e-7 + # assert abs(net.res_bus_sc.ikss_ka.at[1] - 0.4418823) < 1e-7 + # assert abs(net.res_bus_sc.ikss_ka.at[2] - 0.4450868) < 1e-7 + assert pd.isnull(net.res_bus_sc.ikss_ka.at[3]) + + +def test_gen_ext_grid_same_bus(): + net = pandapowerNet(name="test_gen_ext_grid_same_bus") + b = create_bus(net, 110) + + net1 = copy.deepcopy(net) + create_ext_grid(net1, b, s_sc_max_mva=1000, rx_max=0.4) + calc_sc(net1) + + net2 = copy.deepcopy(net) + create_gen(net2, b, 0, sn_mva=50, vn_kv=115, xdss_pu=0.2, rdss_ohm=20, cos_phi=0.8, pg_percent=0) + calc_sc(net2) + + net3 = copy.deepcopy(net1) + create_gen(net3, b, 0, sn_mva=50, vn_kv=115, xdss_pu=0.2, rdss_ohm=20, cos_phi=0.8, pg_percent=0) + calc_sc(net3) + + # no idea why it is not close to 1e-6 + assert np.isclose(net3.res_bus_sc.at[0, "ikss_ka"], + net1.res_bus_sc.at[0, "ikss_ka"] + net2.res_bus_sc.at[0, "ikss_ka"], rtol=0, atol=2e-4) + + +# def test_rdss_estimations(): +# net = pandapowerNet(name="test_rdss_estimations", sn_mva=1) +# b1 = create_bus(net, vn_kv=0.4) +# g1 = create_gen(net, b1, vn_kv=0.4, xdss_pu=0.1, cos_phi=0.8, p_mw=0.1, sn_mva=0.1) +# b2 = create_bus(net, vn_kv=20.) +# g2 = create_gen(net, b2, vn_kv=21., xdss_pu=0.2, cos_phi=0.85, p_mw=0.1, sn_mva=2.5) +# b3 = create_bus(net, vn_kv=20.) +# g3 = create_gen(net, b3, vn_kv=30., xdss_pu=0.25, cos_phi=0.9, p_mw=0.1, sn_mva=150) + +# calc_sc(net, case="max") +# assert np.isclose(net.res_bus_sc.ikss_ka.at[b1], 1.5130509845) +# net.gen.at[g1, "rdss_pu"] = net.gen.xdss_pu.at[g1] * 0.15 +# calc_sc(net, case="max") +# assert np.isclose(net.res_bus_sc.ikss_ka.at[b1], 1.5130509845) + +# calc_sc(net, case="max") +# assert np.isclose(net.res_bus_sc.ikss_ka.at[b2], 0.37894052506) +# net.gen.at[g2, "rdss_pu"] = net.gen.xdss_pu.at[g2] * 0.07 +# calc_sc(net, case="max") +# assert np.isclose(net.res_bus_sc.ikss_ka.at[b2], 0.37894052506) + +# calc_sc(net, case="max") +# assert np.isclose(net.res_bus_sc.ikss_ka.at[b3], 12.789334853) +# net.gen.at[g3, "rdss_pu"] = net.gen.xdss_pu.at[g3] * 0.05 +# calc_sc(net, case="max") +# assert np.isclose(net.res_bus_sc.ikss_ka.at[b3], 12.789334853) + + +# def test_close_to_gen_simple(): +# # from pandapower.shortcircuit import calc_sc +# # vars = {name: getattr(calc_sc, name) for name in +# # dir(calc_sc) if not name.startswith('__')} +# # globals().update(vars) +# # del vars, calc_sc +# # WIP +# net = pandapowerNet(name="test_close_to_gen_simple",) +# b1, b2, b3, b4, b5 = create_buses(net, 5, 20) +# # skss = np.sqrt(3) * 400 * 40 # we assume 40 kA sc current in the 400-kV EHV grid +# # create_ext_grid(net, b1, s_sc_max_mva=skss, s_sc_min_mva=0.8 * skss, rx_min=0.2, rx_max=0.4) +# create_gen(net, b3, vn_kv=20, xdss_pu=0.2, rdss_pu=0.2*0.07, cos_phi=0.8, p_mw=5, sn_mva=5) +# create_gen(net, b5, vn_kv=20, xdss_pu=0.2, rdss_pu=0.2*0.07, cos_phi=0.8, p_mw=10, sn_mva=10) + +# create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=10) +# create_line(net, b2, b3, std_type="305-AL1/39-ST1A 110.0", length_km=10) +# create_line(net, b3, b4, std_type="305-AL1/39-ST1A 110.0", length_km=50) +# create_line(net, b4, b5, std_type="305-AL1/39-ST1A 110.0", length_km=10) +# # calc_single_sc(net, b5) +# calc_sc(net, tk_s=5e-2) + + +# def test_close_to_gen_simple2(): +# # WIP +# net = pandapowerNet(name="test_close_to_gen_simple2") +# # b1, b2 = create_buses(net, 2, 110) +# b1 = create_bus(net, 70) +# # skss = np.sqrt(3) * 400 * 40 # we assume 40 kA sc current in the 400-kV EHV grid +# # create_ext_grid(net, b1, s_sc_max_mva=skss, s_sc_min_mva=0.8 * skss, rx_min=0.2, rx_max=0.4) +# create_gen(net, b1, vn_kv=70, xdss_pu=0.2, rdss_pu=0.2*0.07, cos_phi=0.8, p_mw=0, sn_mva=50) +# # create_gen(net, b3, vn_kv=70, xdss_pu=0.2, rdss_pu=0.001, cos_phi=0.8, p_mw=50, sn_mva=60) + +# # create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=10) +# # create_line(net, b2, b3, std_type="305-AL1/39-ST1A 110.0", length_km=10) +# # calc_single_sc(net, b2) +# calc_sc(net, tk_s=5e-2) + +# def test_generator_book(): +# net=pandapowerNet(name="test_generator_book") +# b1= create_bus(net, 110) +# b2= create_bus(net, 6) + +# create_ext_grid(net, b1, s_sc_max_mva=300, rx_max=0.1, s_sc_min_mva=250, rx_min=0.1) +# create_transformer_from_parameters(net, b1, b2, 25, 110, 6, 0.5, 15, 15,0.1) +# create_shunt(net, b2, 25, 0, 6) +# create_gen(net, b2, 0, 1, sn_mva=25, vn_kv=6.3, xdss_pu=0.11, cos_phi=np.cos(np.arcsin(0.8))) +# calc_sc(net, tk_s=2.5e-2) + +# def test_shunt(): +# net=pandapowerNet(name="test_shunt") +# b1= create_bus(net, 110) +# b2= create_bus(net, 110) + +# create_ext_grid(net, b1, s_sc_max_mva=300, rx_max=0.1) +# # create_shunt(net, b2, 25, 0, 6) +# create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=10) + +# calc_sc(net, tk_s=2.5e-2) + +# def test_power_station_unit(): +# net = pandapowerNet(name="test_power_station_unit") +# b1, b2, b3, b4 = create_buses(net, 4, 20) +# b5 = create_bus(net, 10) + +# create_ext_grid(net, b1, s_sc_max_mva=250, rx_max=0.1) + +# create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=10) +# create_line(net, b2, b3, std_type="305-AL1/39-ST1A 110.0", length_km=10) +# create_line(net, b3, b4, std_type="305-AL1/39-ST1A 110.0", length_km=50) + +# create_transformer_from_parameters(net, b4, b5, 25, 20, 10, 0.41104, 10.3, 0.1, 0.1) +# create_gen(net, b5, vn_kv=10, xdss_pu=0.12, cos_phi=0.8, p_mw=0, sn_mva=10) + +# calc_sc(net) + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/shortcircuit/test_iec60909_4.py b/test/shortcircuit/test_iec60909_4.py similarity index 100% rename from pandapower/test/shortcircuit/test_iec60909_4.py rename to test/shortcircuit/test_iec60909_4.py diff --git a/pandapower/test/shortcircuit/test_impedance.py b/test/shortcircuit/test_impedance.py similarity index 97% rename from pandapower/test/shortcircuit/test_impedance.py rename to test/shortcircuit/test_impedance.py index 79ad0ec08f..28c12dbd3a 100644 --- a/pandapower/test/shortcircuit/test_impedance.py +++ b/test/shortcircuit/test_impedance.py @@ -1,40 +1,40 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import numpy as np -import pytest - -from pandapower.create import create_bus, create_ext_grid, create_impedance -from pandapower.network import pandapowerNet -from pandapower.shortcircuit.calc_sc import calc_sc - - -@pytest.fixture -def impedance_net(): - net = pandapowerNet(name="impedance_net", sn_mva=78) - b1 = create_bus(net, 220) - b2 = create_bus(net, 30) - create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) - create_ext_grid(net, b2, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) - create_impedance(net, b1, b2, rft_pu=0.01, xft_pu=0.02, rtf_pu=0.05, xtf_pu=0.01, sn_mva=1) - return net - - -def test_impedance_max(impedance_net): - net = impedance_net - calc_sc(net, case="max", ip=True, ith=True, kappa_method="B") - assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.38042409891, 2.0550304761]) - assert np.allclose(net.res_bus_sc.ip_ka.values, [0.88029252774, 4.3947194836]) - assert np.allclose(net.res_bus_sc.ith_ka.values, [0.38460749284, 2.0703298078]) - - -def test_impedance_min(impedance_net): - net = impedance_net - calc_sc(net, case="min", ip=True, ith=True, kappa_method="B") - assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.19991981619, 0.86978512768]) - assert np.allclose(net.res_bus_sc.ip_ka.values, [0.50118698745, 1.755888097]) - assert np.allclose(net.res_bus_sc.ith_ka.values, [0.20375890703, 0.87488745362]) - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import numpy as np +import pytest + +from pandapower.create import create_bus, create_ext_grid, create_impedance +from pandapower.network import pandapowerNet +from pandapower.shortcircuit.calc_sc import calc_sc + + +@pytest.fixture +def impedance_net(): + net = pandapowerNet(name="impedance_net", sn_mva=78) + b1 = create_bus(net, 220) + b2 = create_bus(net, 30) + create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) + create_ext_grid(net, b2, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) + create_impedance(net, b1, b2, rft_pu=0.01, xft_pu=0.02, rtf_pu=0.05, xtf_pu=0.01, sn_mva=1) + return net + + +def test_impedance_max(impedance_net): + net = impedance_net + calc_sc(net, case="max", ip=True, ith=True, kappa_method="B") + assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.38042409891, 2.0550304761]) + assert np.allclose(net.res_bus_sc.ip_ka.values, [0.88029252774, 4.3947194836]) + assert np.allclose(net.res_bus_sc.ith_ka.values, [0.38460749284, 2.0703298078]) + + +def test_impedance_min(impedance_net): + net = impedance_net + calc_sc(net, case="min", ip=True, ith=True, kappa_method="B") + assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.19991981619, 0.86978512768]) + assert np.allclose(net.res_bus_sc.ip_ka.values, [0.50118698745, 1.755888097]) + assert np.allclose(net.res_bus_sc.ith_ka.values, [0.20375890703, 0.87488745362]) + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/shortcircuit/test_meshing_detection.py b/test/shortcircuit/test_meshing_detection.py similarity index 94% rename from pandapower/test/shortcircuit/test_meshing_detection.py rename to test/shortcircuit/test_meshing_detection.py index 00498feb7c..3e1633023d 100644 --- a/pandapower/test/shortcircuit/test_meshing_detection.py +++ b/test/shortcircuit/test_meshing_detection.py @@ -1,90 +1,90 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import os - -import numpy as np -import pytest - -from pandapower import pp_dir -from pandapower.create import create_bus, create_switch -from pandapower.file_io import from_json -from pandapower.shortcircuit.calc_sc import calc_sc - - -@pytest.fixture -def meshed_grid(): - net = from_json(os.path.join(pp_dir, "test", "shortcircuit", "sc_test_meshed_grid.json")) - bid = create_bus(net, vn_kv=10.) - create_switch(net, net.ext_grid.bus.iloc[0], bid, et="b") - net.ext_grid.loc[net.ext_grid.index[0], "bus"] = bid - create_bus(net, vn_kv=0.4, in_service=False) - return net - - -def test_max_10_meshed_grid(meshed_grid): - net = meshed_grid - calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=10., kappa_method="B") - assert np.allclose(net.res_bus_sc.ikss_ka.values[:10], - [5.773503, 14.82619, 4.606440, 4.068637, 13.61509, - 2.812111, 1.212288, 1.525655, 1.781087, 1.568337], atol=1e-5) - - assert np.allclose(net.res_bus_sc.ip_ka.values[:10], - [14.256050, 33.751300, 6.759302, 6.359403, 26.49241, - 4.726619, 2.015958, 2.538654, 2.576375, 2.608065], atol=1e-5) - - assert np.allclose(net.res_bus_sc.ith_ka.values[:10], - [5.871191, 14.97527, 4.613454, 4.077662, 13.68449, - 2.820525, 1.215770, 1.530048, 1.783442, 1.572843], atol=1e-5) - - -def test_max_6_meshed_grid(meshed_grid): - net = meshed_grid - calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=6., kappa_method="B") - assert np.allclose(net.res_bus_sc.ikss_ka.values[:10], - [5.773503, 14.75419, 4.437882, 4.068637, 13.53425, - 2.701411, 1.159945, 1.460757, 1.705172, 1.501673], atol=1e-5) - - assert np.allclose(net.res_bus_sc.ip_ka.values[:10], - [14.25605, 33.59996, 6.50406, 6.359403, 26.28476, - 4.537759, 1.928734, 2.430331, 2.466185, 2.496901], atol=1e-5) - - assert np.allclose(net.res_bus_sc.ith_ka.values[:10], - [5.871191, 14.90284, 4.44457, 4.077662, 13.60275, - 2.709475, 1.163276, 1.464961, 1.707423, 1.505985], atol=1e-5) - - -def test_min_10_meshed_grid(meshed_grid): - net = meshed_grid - calc_sc(net, case='min', ip=True, ith=True, lv_tol_percent=10., kappa_method="B") - assert np.allclose(net.res_bus_sc.ikss_ka.values[:10], - [2.30940108, 10.80899841, 2.73086839, 1.8843233, 10.01555843, - 1.60750709, 0.67371107, 0.85335292, 1.00063643, 0.88033414], atol=1e-5) - - assert np.allclose(net.res_bus_sc.ip_ka.values[:10], - [5.70241817, 24.83069026, 3.95097937, 3.12416275, 19.28070305, - 2.67020762, 1.11771254, 1.4158181, 1.44363159, 1.46053461], atol=1e-5) - - assert np.allclose(net.res_bus_sc.ith_ka.values[:10], - [2.34847641, 10.9231429, 2.73448698, 1.88967457, 10.06461948, - 1.61210535, 0.67562908, 0.85578283, 1.00191702, 0.88284056], atol=1e-5) - - -def test_min_6_meshed_grid(meshed_grid): - net = meshed_grid - calc_sc(net, case='min', ip=True, ith=True, lv_tol_percent=6., kappa_method="B") - assert np.allclose(net.res_bus_sc.ikss_ka.values[:10], - [2.309401, 11.409498, 2.882583, 1.884323, 10.571978, - 1.696813, 0.711139, 0.900761, 1.056227, 0.929242], atol=1e-5) - - assert np.allclose(net.res_bus_sc.ip_ka.values[:10], - [5.702418, 26.210173, 4.170478, 3.124163, 20.351853, - 2.818552, 1.179808, 1.494475, 1.523833, 1.541675], atol=1e-5) - - assert np.allclose(net.res_bus_sc.ith_ka.values[:10], - [2.348476, 11.529984, 2.886403, 1.889675, 10.623765, - 1.701667, 0.713164, 0.903326, 1.057579, 0.931887], atol=1e-5) - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import os + +import numpy as np +import pytest + +from pandapower.create import create_bus, create_switch +from pandapower.file_io import from_json +from pandapower.shortcircuit.calc_sc import calc_sc + +from test import test_path + +@pytest.fixture +def meshed_grid(): + net = from_json(os.path.join(test_path, "shortcircuit", "sc_test_meshed_grid.json")) + bid = create_bus(net, vn_kv=10.) + create_switch(net, net.ext_grid.bus.iloc[0], bid, et="b") + net.ext_grid.loc[net.ext_grid.index[0], "bus"] = bid + create_bus(net, vn_kv=0.4, in_service=False) + return net + + +def test_max_10_meshed_grid(meshed_grid): + net = meshed_grid + calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=10., kappa_method="B") + assert np.allclose(net.res_bus_sc.ikss_ka.values[:10], + [5.773503, 14.82619, 4.606440, 4.068637, 13.61509, + 2.812111, 1.212288, 1.525655, 1.781087, 1.568337], atol=1e-5) + + assert np.allclose(net.res_bus_sc.ip_ka.values[:10], + [14.256050, 33.751300, 6.759302, 6.359403, 26.49241, + 4.726619, 2.015958, 2.538654, 2.576375, 2.608065], atol=1e-5) + + assert np.allclose(net.res_bus_sc.ith_ka.values[:10], + [5.871191, 14.97527, 4.613454, 4.077662, 13.68449, + 2.820525, 1.215770, 1.530048, 1.783442, 1.572843], atol=1e-5) + + +def test_max_6_meshed_grid(meshed_grid): + net = meshed_grid + calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=6., kappa_method="B") + assert np.allclose(net.res_bus_sc.ikss_ka.values[:10], + [5.773503, 14.75419, 4.437882, 4.068637, 13.53425, + 2.701411, 1.159945, 1.460757, 1.705172, 1.501673], atol=1e-5) + + assert np.allclose(net.res_bus_sc.ip_ka.values[:10], + [14.25605, 33.59996, 6.50406, 6.359403, 26.28476, + 4.537759, 1.928734, 2.430331, 2.466185, 2.496901], atol=1e-5) + + assert np.allclose(net.res_bus_sc.ith_ka.values[:10], + [5.871191, 14.90284, 4.44457, 4.077662, 13.60275, + 2.709475, 1.163276, 1.464961, 1.707423, 1.505985], atol=1e-5) + + +def test_min_10_meshed_grid(meshed_grid): + net = meshed_grid + calc_sc(net, case='min', ip=True, ith=True, lv_tol_percent=10., kappa_method="B") + assert np.allclose(net.res_bus_sc.ikss_ka.values[:10], + [2.30940108, 10.80899841, 2.73086839, 1.8843233, 10.01555843, + 1.60750709, 0.67371107, 0.85335292, 1.00063643, 0.88033414], atol=1e-5) + + assert np.allclose(net.res_bus_sc.ip_ka.values[:10], + [5.70241817, 24.83069026, 3.95097937, 3.12416275, 19.28070305, + 2.67020762, 1.11771254, 1.4158181, 1.44363159, 1.46053461], atol=1e-5) + + assert np.allclose(net.res_bus_sc.ith_ka.values[:10], + [2.34847641, 10.9231429, 2.73448698, 1.88967457, 10.06461948, + 1.61210535, 0.67562908, 0.85578283, 1.00191702, 0.88284056], atol=1e-5) + + +def test_min_6_meshed_grid(meshed_grid): + net = meshed_grid + calc_sc(net, case='min', ip=True, ith=True, lv_tol_percent=6., kappa_method="B") + assert np.allclose(net.res_bus_sc.ikss_ka.values[:10], + [2.309401, 11.409498, 2.882583, 1.884323, 10.571978, + 1.696813, 0.711139, 0.900761, 1.056227, 0.929242], atol=1e-5) + + assert np.allclose(net.res_bus_sc.ip_ka.values[:10], + [5.702418, 26.210173, 4.170478, 3.124163, 20.351853, + 2.818552, 1.179808, 1.494475, 1.523833, 1.541675], atol=1e-5) + + assert np.allclose(net.res_bus_sc.ith_ka.values[:10], + [2.348476, 11.529984, 2.886403, 1.889675, 10.623765, + 1.701667, 0.713164, 0.903326, 1.057579, 0.931887], atol=1e-5) + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/shortcircuit/test_min_branch_results.py b/test/shortcircuit/test_min_branch_results.py similarity index 97% rename from pandapower/test/shortcircuit/test_min_branch_results.py rename to test/shortcircuit/test_min_branch_results.py index b4c3d11f1f..115e9bcb33 100644 --- a/pandapower/test/shortcircuit/test_min_branch_results.py +++ b/test/shortcircuit/test_min_branch_results.py @@ -1,32 +1,32 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import pytest - -from pandapower.create import create_bus, create_line, create_ext_grid, create_sgen -from pandapower.network import pandapowerNet - - -@pytest.fixture -def feeder_network(): - net = pandapowerNet(name="feeder_network", sn_mva=11) - b1 = create_bus(net, 110) - b2 = create_bus(net, 110) - b3 = create_bus(net, 110) - b4 = create_bus(net, 110) - b5 = create_bus(net, 110) - - create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) - create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) - create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) - create_line(net, b1, b4, std_type="305-AL1/39-ST1A 110.0", length_km=12.) - create_line(net, b4, b5, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=8.) - net.line["endtemp_degree"] = 80 - for b in [b2, b3, b4, b5]: - create_sgen(net, b, sn_mva=2000, p_mw=0) - net.sgen["k"] = 1.2 - return net - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import pytest + +from pandapower.create import create_bus, create_line, create_ext_grid, create_sgen +from pandapower.network import pandapowerNet + + +@pytest.fixture +def feeder_network(): + net = pandapowerNet(name="feeder_network", sn_mva=11) + b1 = create_bus(net, 110) + b2 = create_bus(net, 110) + b3 = create_bus(net, 110) + b4 = create_bus(net, 110) + b5 = create_bus(net, 110) + + create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) + create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) + create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) + create_line(net, b1, b4, std_type="305-AL1/39-ST1A 110.0", length_km=12.) + create_line(net, b4, b5, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=8.) + net.line["endtemp_degree"] = 80 + for b in [b2, b3, b4, b5]: + create_sgen(net, b, sn_mva=2000, p_mw=0) + net.sgen["k"] = 1.2 + return net + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/shortcircuit/test_motor.py b/test/shortcircuit/test_motor.py similarity index 97% rename from pandapower/test/shortcircuit/test_motor.py rename to test/shortcircuit/test_motor.py index 176fb61fff..0940effb16 100644 --- a/pandapower/test/shortcircuit/test_motor.py +++ b/test/shortcircuit/test_motor.py @@ -1,86 +1,86 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - - -import numpy as np -import pytest - -from pandapower.create import create_bus, create_ext_grid, create_line_from_parameters, create_motor -from pandapower.network import pandapowerNet -from pandapower.shortcircuit.calc_sc import calc_sc - - -@pytest.fixture -def motor_net(): - net = pandapowerNet(name="motor_net", sn_mva=14) - b1 = create_bus(net, vn_kv=0.4) - b2 = create_bus(net, vn_kv=0.4) - b3 = create_bus(net, vn_kv=0.4) - create_ext_grid(net, b1, s_sc_max_mva=10., rx_max=0.1, s_sc_min_mva=8., - rx_min=0.1) - create_line_from_parameters(net, from_bus=b1, to_bus=b2, length_km=1., - r_ohm_per_km=0.32, c_nf_per_km=0, - x_ohm_per_km=0.07, max_i_ka=1, - endtemp_degree=80) - create_motor(net, b2, pn_mech_mw=0.5, lrc_pu=7., vn_kv=0.45, rx=0.4, - efficiency_n_percent=95, cos_phi_n=0.9, cos_phi=0.9) - create_line_from_parameters(net, from_bus=b2, to_bus=b3, length_km=2., - r_ohm_per_km=0.32, c_nf_per_km=0, - x_ohm_per_km=0.07, max_i_ka=1, - endtemp_degree=80) - return net - - -def test_motor_min(motor_net): - net = motor_net - calc_sc(net, case="min") - assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], - [11.54700538, 0.50921396, 0.17123864], rtol=1e-4) - - -def test_motor_max(motor_net): - net = motor_net - calc_sc(net, case="max") - assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], - [14.743809197, 5.626994278, 0.370730612], rtol=1e-4) - - -def test_motor_max_branch(motor_net): - net = motor_net - net.motor.in_service = False - calc_sc(net, case="max") - ikss_without_motor = net.res_bus_sc.ikss_ka.copy() - - net.motor.in_service = True - calc_sc(net, case="max", branch_results=True) - assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], - [14.743809197, 5.626994278, 0.370730612], rtol=1e-4) - # The maximum current through the first branch is the short-circuit current - # at the second bus without the motor contribution, which does not flow - # through the line - assert np.isclose(net.res_line_sc.ikss_ka.at[0], ikss_without_motor.at[1]) - # The maximum current through the second branch is the short-circuit current - # at the third bus - assert np.isclose(net.res_line_sc.ikss_ka.at[1], net.res_bus_sc.ikss_ka.at[2]) - - -def test_motor_min_branch(motor_net): - net = motor_net - net.motor.in_service = False - calc_sc(net, case="min", branch_results=True) - ikss_without_motor = net.res_line_sc.ikss_ka.values - - net.motor.in_service = True - calc_sc(net, case="min", branch_results=True) - assert np.allclose(ikss_without_motor, net.res_line_sc.ikss_ka.values) - - -def test_large_motor(motor_net): - net = motor_net - net.motor.pn_mech_mw = 10 - calc_sc(net, case="max") - assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], [14.695869025, 103.16722971, 0.38693418116], rtol=1e-4) - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + + +import numpy as np +import pytest + +from pandapower.create import create_bus, create_ext_grid, create_line_from_parameters, create_motor +from pandapower.network import pandapowerNet +from pandapower.shortcircuit.calc_sc import calc_sc + + +@pytest.fixture +def motor_net(): + net = pandapowerNet(name="motor_net", sn_mva=14) + b1 = create_bus(net, vn_kv=0.4) + b2 = create_bus(net, vn_kv=0.4) + b3 = create_bus(net, vn_kv=0.4) + create_ext_grid(net, b1, s_sc_max_mva=10., rx_max=0.1, s_sc_min_mva=8., + rx_min=0.1) + create_line_from_parameters(net, from_bus=b1, to_bus=b2, length_km=1., + r_ohm_per_km=0.32, c_nf_per_km=0, + x_ohm_per_km=0.07, max_i_ka=1, + endtemp_degree=80) + create_motor(net, b2, pn_mech_mw=0.5, lrc_pu=7., vn_kv=0.45, rx=0.4, + efficiency_n_percent=95, cos_phi_n=0.9, cos_phi=0.9) + create_line_from_parameters(net, from_bus=b2, to_bus=b3, length_km=2., + r_ohm_per_km=0.32, c_nf_per_km=0, + x_ohm_per_km=0.07, max_i_ka=1, + endtemp_degree=80) + return net + + +def test_motor_min(motor_net): + net = motor_net + calc_sc(net, case="min") + assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], + [11.54700538, 0.50921396, 0.17123864], rtol=1e-4) + + +def test_motor_max(motor_net): + net = motor_net + calc_sc(net, case="max") + assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], + [14.743809197, 5.626994278, 0.370730612], rtol=1e-4) + + +def test_motor_max_branch(motor_net): + net = motor_net + net.motor.in_service = False + calc_sc(net, case="max") + ikss_without_motor = net.res_bus_sc.ikss_ka.copy() + + net.motor.in_service = True + calc_sc(net, case="max", branch_results=True) + assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], + [14.743809197, 5.626994278, 0.370730612], rtol=1e-4) + # The maximum current through the first branch is the short-circuit current + # at the second bus without the motor contribution, which does not flow + # through the line + assert np.isclose(net.res_line_sc.ikss_ka.at[0], ikss_without_motor.at[1]) + # The maximum current through the second branch is the short-circuit current + # at the third bus + assert np.isclose(net.res_line_sc.ikss_ka.at[1], net.res_bus_sc.ikss_ka.at[2]) + + +def test_motor_min_branch(motor_net): + net = motor_net + net.motor.in_service = False + calc_sc(net, case="min", branch_results=True) + ikss_without_motor = net.res_line_sc.ikss_ka.values + + net.motor.in_service = True + calc_sc(net, case="min", branch_results=True) + assert np.allclose(ikss_without_motor, net.res_line_sc.ikss_ka.values) + + +def test_large_motor(motor_net): + net = motor_net + net.motor.pn_mech_mw = 10 + calc_sc(net, case="max") + assert np.allclose(net.res_bus_sc.ikss_ka.values[:3], [14.695869025, 103.16722971, 0.38693418116], rtol=1e-4) + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/shortcircuit/test_ring.py b/test/shortcircuit/test_ring.py similarity index 97% rename from pandapower/test/shortcircuit/test_ring.py rename to test/shortcircuit/test_ring.py index c3f5a542b0..0dabcba693 100644 --- a/pandapower/test/shortcircuit/test_ring.py +++ b/test/shortcircuit/test_ring.py @@ -1,66 +1,66 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import numpy as np -import pytest - -from pandapower.create import create_bus, create_line, create_ext_grid, create_transformer, create_switch -from pandapower.network import pandapowerNet -from pandapower.shortcircuit.calc_sc import calc_sc - - -def ring_network(): - net = pandapowerNet(name="ring_network", sn_mva=2.) - b0 = create_bus(net, 220) - b1 = create_bus(net, 110) - b2 = create_bus(net, 110) - b3 = create_bus(net, 110) - create_ext_grid(net, b0, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) - create_transformer(net, b0, b1, "100 MVA 220/110 kV") - create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) - l2 = create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) - create_line(net, b3, b1, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=10.) - create_switch(net, b3, l2, closed=False, et="l") - return net - - -def test_branch_results_open_ring(): - net = ring_network() - calc_sc(net, branch_results=True, inverse_y=False) - assert np.allclose(net.res_trafo_sc.ikss_lv_ka.values, [0.47705988]) - assert np.allclose(net.res_line_sc.ikss_ka.values, [0.45294928, 0.0, 0.47125418]) - - -def test_branch_results_open_ring_with_impedance(): - net = ring_network() - calc_sc(net, branch_results=True, inverse_y=False) - res_line_no_imp = net.res_line_sc.ikss_ka.values.copy() - - # Make sure that with fault impedance, the total current should be smaller - calc_sc(net, branch_results=True, inverse_y=False, r_fault_ohm=1, x_fault_ohm=5) - non_null_flag = np.abs(res_line_no_imp) > 1e-10 - assert np.all(net.res_line_sc.ikss_ka.values[non_null_flag] < res_line_no_imp[non_null_flag]) - - -def test_branch_results_closed_ring(): - net = ring_network() - net.switch.closed = True - calc_sc(net, branch_results=True) - - assert np.allclose(net.res_trafo_sc.ikss_lv_ka.values, [0.47705988]) - assert np.allclose(net.res_line_sc.ikss_ka.values, [0.17559325, 0.29778739, 0.40286545]) - - -def test_kappa_methods(): - net = ring_network() - net.switch.closed = True - calc_sc(net, kappa_method="B", ip=True, inverse_y=False) - assert np.allclose(net.res_bus_sc.ip_ka.values, - [0.48810547956, 0.91192962511, 1.0264898716, 1.0360554521]) - calc_sc(net, kappa_method="C", ip=True, topology="auto") - assert np.allclose(net.res_bus_sc.ip_ka.values, - [0.48810547956, 0.91192962511, 0.89331396461, 0.90103415924]) - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import numpy as np +import pytest + +from pandapower.create import create_bus, create_line, create_ext_grid, create_transformer, create_switch +from pandapower.network import pandapowerNet +from pandapower.shortcircuit.calc_sc import calc_sc + + +def ring_network(): + net = pandapowerNet(name="ring_network", sn_mva=2.) + b0 = create_bus(net, 220) + b1 = create_bus(net, 110) + b2 = create_bus(net, 110) + b3 = create_bus(net, 110) + create_ext_grid(net, b0, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) + create_transformer(net, b0, b1, "100 MVA 220/110 kV") + create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) + l2 = create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) + create_line(net, b3, b1, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=10.) + create_switch(net, b3, l2, closed=False, et="l") + return net + + +def test_branch_results_open_ring(): + net = ring_network() + calc_sc(net, branch_results=True, inverse_y=False) + assert np.allclose(net.res_trafo_sc.ikss_lv_ka.values, [0.47705988]) + assert np.allclose(net.res_line_sc.ikss_ka.values, [0.45294928, 0.0, 0.47125418]) + + +def test_branch_results_open_ring_with_impedance(): + net = ring_network() + calc_sc(net, branch_results=True, inverse_y=False) + res_line_no_imp = net.res_line_sc.ikss_ka.values.copy() + + # Make sure that with fault impedance, the total current should be smaller + calc_sc(net, branch_results=True, inverse_y=False, r_fault_ohm=1, x_fault_ohm=5) + non_null_flag = np.abs(res_line_no_imp) > 1e-10 + assert np.all(net.res_line_sc.ikss_ka.values[non_null_flag] < res_line_no_imp[non_null_flag]) + + +def test_branch_results_closed_ring(): + net = ring_network() + net.switch.closed = True + calc_sc(net, branch_results=True) + + assert np.allclose(net.res_trafo_sc.ikss_lv_ka.values, [0.47705988]) + assert np.allclose(net.res_line_sc.ikss_ka.values, [0.17559325, 0.29778739, 0.40286545]) + + +def test_kappa_methods(): + net = ring_network() + net.switch.closed = True + calc_sc(net, kappa_method="B", ip=True, inverse_y=False) + assert np.allclose(net.res_bus_sc.ip_ka.values, + [0.48810547956, 0.91192962511, 1.0264898716, 1.0360554521]) + calc_sc(net, kappa_method="C", ip=True, topology="auto") + assert np.allclose(net.res_bus_sc.ip_ka.values, + [0.48810547956, 0.91192962511, 0.89331396461, 0.90103415924]) + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/shortcircuit/test_sc_multi_bus.py b/test/shortcircuit/test_sc_multi_bus.py similarity index 95% rename from pandapower/test/shortcircuit/test_sc_multi_bus.py rename to test/shortcircuit/test_sc_multi_bus.py index 947631625a..6468d97632 100644 --- a/pandapower/test/shortcircuit/test_sc_multi_bus.py +++ b/test/shortcircuit/test_sc_multi_bus.py @@ -4,10 +4,17 @@ import numpy as np import pytest -from pandapower.create import create_bus, create_line, create_ext_grid, create_transformer, create_sgen +from pandapower.create import ( + create_bus, + create_line, + create_ext_grid, + create_transformer, + create_sgen +) from pandapower.network import pandapowerNet from pandapower.shortcircuit.calc_sc import calc_sc -from pandapower.test.shortcircuit.test_meshing_detection import meshed_grid + +from test.shortcircuit.test_meshing_detection import meshed_grid @pytest.fixture diff --git a/pandapower/test/shortcircuit/test_sc_single_bus.py b/test/shortcircuit/test_sc_single_bus.py similarity index 92% rename from pandapower/test/shortcircuit/test_sc_single_bus.py rename to test/shortcircuit/test_sc_single_bus.py index 842f3cd19f..8f7a97b06f 100644 --- a/pandapower/test/shortcircuit/test_sc_single_bus.py +++ b/test/shortcircuit/test_sc_single_bus.py @@ -1,121 +1,127 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import numpy as np -import pytest - -from pandapower.create import create_bus, create_ext_grid, create_line, create_transformer, create_sgen -from pandapower.network import pandapowerNet -from pandapower.shortcircuit.calc_sc import calc_sc -from pandapower.test.shortcircuit.test_meshing_detection import meshed_grid -from pandapower.create import create_impedance - - -# @pytest.fixture -def radial_grid(): - net = pandapowerNet(name="radial_grid", sn_mva=2.) - b0 = create_bus(net, 220) - b1 = create_bus(net, 110) - b2 = create_bus(net, 110) - b3 = create_bus(net, 110) - create_ext_grid(net, b0, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) - create_transformer(net, b0, b1, "100 MVA 220/110 kV") - create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) - create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) - return net - - -# @pytest.fixture -def three_bus_big_sgen_example(): - net = pandapowerNet(name="three_bus_big_sgen_example", sn_mva=4) - b1 = create_bus(net, 110) - b2 = create_bus(net, 110) - b3 = create_bus(net, 110) - - create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) - create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) - create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) - net.line["endtemp_degree"] = 80 - - create_sgen(net, b2, sn_mva=200., p_mw=0, k=1.2) - return net - - -def test_radial_network(): - net = radial_grid() - sc_bus = 3 - calc_sc(net) - ik = net.res_bus_sc.ikss_ka.at[sc_bus] - calc_sc(net, bus=sc_bus, branch_results=True) - - assert np.isclose(net.res_line_sc.ikss_ka.at[1], ik) - assert np.isclose(net.res_line_sc.ikss_ka.at[0], ik) - assert np.isclose(net.res_trafo_sc.ikss_lv_ka.at[0], ik) - trafo_ratio = net.trafo.vn_lv_kv.values / net.trafo.vn_hv_kv.values - assert np.isclose(net.res_trafo_sc.ikss_hv_ka.at[0], ik * trafo_ratio) - - for inv_y in (False, True): - sc_bus = 2 - calc_sc(net, inverse_y=inv_y, branch_results=True) - ik = net.res_bus_sc.ikss_ka.at[sc_bus] - calc_sc(net, bus=sc_bus, branch_results=True) - - assert np.isclose(net.res_line_sc.ikss_ka.at[1], 0) - assert np.isclose(net.res_line_sc.ikss_ka.at[0], ik) - assert np.isclose(net.res_trafo_sc.ikss_lv_ka.at[0], ik) - trafo_ratio = net.trafo.vn_lv_kv.values / net.trafo.vn_hv_kv.values - assert np.isclose(net.res_trafo_sc.ikss_hv_ka.at[0], ik * trafo_ratio) - - -def test_meshed_network(meshed_grid): - net = meshed_grid - calc_sc(net) - sc_bus = 5 - ik = net.res_bus_sc.ikss_ka.at[sc_bus] - - for inv_y in (False, True): - calc_sc(net, bus=sc_bus, inverse_y=inv_y, branch_results=True) - - line_flow_into_sc = net.res_line_sc.ikss_ka[(net.line.to_bus == sc_bus) | (net.line.from_bus == sc_bus)].sum() - assert np.isclose(line_flow_into_sc, ik, atol=2e-3) - - -def test_big_gen_network_calc_sc(): - net = three_bus_big_sgen_example() - - for inv_y in (False, True): - sc_bus = 0 - calc_sc(net, bus=sc_bus, - branch_results=True, inverse_y=inv_y) - - assert np.isclose(net.res_line_sc.ikss_ka.at[0], 1.25967331, atol=1e-3) - assert np.isclose(net.res_line_sc.ikss_ka.at[1], 0., atol=1e-3) - - sc_bus = 2 - calc_sc(net, bus=sc_bus, - branch_results=True, inverse_y=inv_y) - assert np.isclose(net.res_line_sc.ikss_ka.at[0], 0.46221808, atol=1e-3) - assert np.isclose(net.res_line_sc.ikss_ka.at[1], 1.72233192, atol=1e-3) - - -cases = [ - (10, "min", [72.16878364, 49.868725]), - (10, "max", [144.337567, 81.818773]), - (6, "min", [72.168784, 50.761055]), - (6, "max", [144.337567, 80.016087]) -] - - -@pytest.mark.parametrize("tolerance, case, values", cases) -def test_iec60909_on_single_branch(tolerance, case, values): - net = pandapowerNet(name="test_iec60909_on_single_branch") - b1 = create_bus(net, vn_kv=0.4) - b2 = create_bus(net, vn_kv=0.4) - create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=50., rx_min=1, rx_max=1) - create_impedance(net, b1, b2, 0.01, 0, 1) - calc_sc(net, case=case, lv_tol_percent=tolerance) - assert np.allclose(net.res_bus_sc.ikss_ka, values, atol=1e-3) - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import numpy as np +import pytest + +from pandapower.create import ( + create_bus, + create_ext_grid, + create_line, + create_transformer, + create_sgen, + create_impedance +) +from pandapower.network import pandapowerNet +from pandapower.shortcircuit.calc_sc import calc_sc + +from test.shortcircuit.test_meshing_detection import meshed_grid + +# @pytest.fixture +def radial_grid(): + net = pandapowerNet(name="radial_grid", sn_mva=2.) + b0 = create_bus(net, 220) + b1 = create_bus(net, 110) + b2 = create_bus(net, 110) + b3 = create_bus(net, 110) + create_ext_grid(net, b0, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) + create_transformer(net, b0, b1, "100 MVA 220/110 kV") + create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) + create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) + return net + + +# @pytest.fixture +def three_bus_big_sgen_example(): + net = pandapowerNet(name="three_bus_big_sgen_example", sn_mva=4) + b1 = create_bus(net, 110) + b2 = create_bus(net, 110) + b3 = create_bus(net, 110) + + create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) + create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) + create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) + net.line["endtemp_degree"] = 80 + + create_sgen(net, b2, sn_mva=200., p_mw=0, k=1.2) + return net + + +def test_radial_network(): + net = radial_grid() + sc_bus = 3 + calc_sc(net) + ik = net.res_bus_sc.ikss_ka.at[sc_bus] + calc_sc(net, bus=sc_bus, branch_results=True) + + assert np.isclose(net.res_line_sc.ikss_ka.at[1], ik) + assert np.isclose(net.res_line_sc.ikss_ka.at[0], ik) + assert np.isclose(net.res_trafo_sc.ikss_lv_ka.at[0], ik) + trafo_ratio = net.trafo.vn_lv_kv.values / net.trafo.vn_hv_kv.values + assert np.isclose(net.res_trafo_sc.ikss_hv_ka.at[0], ik * trafo_ratio) + + for inv_y in (False, True): + sc_bus = 2 + calc_sc(net, inverse_y=inv_y, branch_results=True) + ik = net.res_bus_sc.ikss_ka.at[sc_bus] + calc_sc(net, bus=sc_bus, branch_results=True) + + assert np.isclose(net.res_line_sc.ikss_ka.at[1], 0) + assert np.isclose(net.res_line_sc.ikss_ka.at[0], ik) + assert np.isclose(net.res_trafo_sc.ikss_lv_ka.at[0], ik) + trafo_ratio = net.trafo.vn_lv_kv.values / net.trafo.vn_hv_kv.values + assert np.isclose(net.res_trafo_sc.ikss_hv_ka.at[0], ik * trafo_ratio) + + +def test_meshed_network(meshed_grid): + net = meshed_grid + calc_sc(net) + sc_bus = 5 + ik = net.res_bus_sc.ikss_ka.at[sc_bus] + + for inv_y in (False, True): + calc_sc(net, bus=sc_bus, inverse_y=inv_y, branch_results=True) + + line_flow_into_sc = net.res_line_sc.ikss_ka[(net.line.to_bus == sc_bus) | (net.line.from_bus == sc_bus)].sum() + assert np.isclose(line_flow_into_sc, ik, atol=2e-3) + + +def test_big_gen_network_calc_sc(): + net = three_bus_big_sgen_example() + + for inv_y in (False, True): + sc_bus = 0 + calc_sc(net, bus=sc_bus, + branch_results=True, inverse_y=inv_y) + + assert np.isclose(net.res_line_sc.ikss_ka.at[0], 1.25967331, atol=1e-3) + assert np.isclose(net.res_line_sc.ikss_ka.at[1], 0., atol=1e-3) + + sc_bus = 2 + calc_sc(net, bus=sc_bus, + branch_results=True, inverse_y=inv_y) + assert np.isclose(net.res_line_sc.ikss_ka.at[0], 0.46221808, atol=1e-3) + assert np.isclose(net.res_line_sc.ikss_ka.at[1], 1.72233192, atol=1e-3) + + +cases = [ + (10, "min", [72.16878364, 49.868725]), + (10, "max", [144.337567, 81.818773]), + (6, "min", [72.168784, 50.761055]), + (6, "max", [144.337567, 80.016087]) +] + + +@pytest.mark.parametrize("tolerance, case, values", cases) +def test_iec60909_on_single_branch(tolerance, case, values): + net = pandapowerNet(name="test_iec60909_on_single_branch") + b1 = create_bus(net, vn_kv=0.4) + b2 = create_bus(net, vn_kv=0.4) + create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=50., rx_min=1, rx_max=1) + create_impedance(net, b1, b2, 0.01, 0, 1) + calc_sc(net, case=case, lv_tol_percent=tolerance) + assert np.allclose(net.res_bus_sc.ikss_ka, values, atol=1e-3) + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/shortcircuit/test_sc_voltage.py b/test/shortcircuit/test_sc_voltage.py similarity index 99% rename from pandapower/test/shortcircuit/test_sc_voltage.py rename to test/shortcircuit/test_sc_voltage.py index b493cc0cf4..e6c66c3928 100644 --- a/pandapower/test/shortcircuit/test_sc_voltage.py +++ b/test/shortcircuit/test_sc_voltage.py @@ -7,7 +7,8 @@ from pandapower.create import create_bus, create_line, create_ext_grid, create_sgen, create_gen from pandapower.network import pandapowerNet from pandapower.shortcircuit.calc_sc import calc_sc -from pandapower.test.shortcircuit.test_iec60909_4 import iec_60909_4 + +from test.shortcircuit.test_iec60909_4 import iec_60909_4 def simple_grid(): diff --git a/pandapower/test/shortcircuit/test_sgen.py b/test/shortcircuit/test_sgen.py similarity index 91% rename from pandapower/test/shortcircuit/test_sgen.py rename to test/shortcircuit/test_sgen.py index 6086978d7f..5c901a886a 100644 --- a/pandapower/test/shortcircuit/test_sgen.py +++ b/test/shortcircuit/test_sgen.py @@ -1,397 +1,375 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import numpy as np -import pytest - -from pandapower.create import ( - create_bus, create_ext_grid, create_transformer, create_sgen, create_buses, create_transformer_from_parameters, - create_line_from_parameters, create_lines_from_parameters, create_sgens, create_line -) -from pandapower.network import pandapowerNet -from pandapower.pypower.idx_brch import BR_R, BR_X -from pandapower.shortcircuit.calc_sc import calc_sc - - -def simplest_test_grid(generator_type, step_up_trafo=False): - net = pandapowerNet(name="simplest_test_grid", sn_mva=6) - if step_up_trafo: - b0 = create_bus(net, 20) - b1 = create_bus(net, 0.4) - create_transformer(net, b0, b1, "0.25 MVA 20/0.4 kV", parallel=10) - else: - b0 = b1 = create_bus(net, 20) - - create_ext_grid(net, b0, s_sc_max_mva=1e-12, rx_max=0) - if generator_type == "async_doubly_fed": - create_sgen(net, b1, 0, 0, 2.5, current_source=False, - generator_type=generator_type, max_ik_ka=0.388, kappa=1.7, rx=0.1) - elif generator_type == "current_source": - create_sgen(net, b1, 0, 0, 2.5, generator_type=generator_type, current_source=True, k=1.3, rx=0.1) - elif generator_type == "async": - create_sgen(net, b1, 0, 0, 2.5, generator_type=generator_type, current_source=False, rx=0.1, lrc_pu=5) - else: - raise NotImplementedError(f"unknown sgen generator type {generator_type}, can be one of " - f"'full_size_converter', 'async', 'async_doubly_fed'") - return net - - -def wind_park_grid(case): - net = pandapowerNet(name="wind_park_grid", sn_mva=7) - create_bus(net, 110, index=1) - create_buses(net, 13, 20) - - create_ext_grid(net, 1, 1, s_sc_max_mva=10.5 * 110 * np.sqrt(3), rx_max=0.1) - - create_transformer_from_parameters(net, 1, 2, 31.5, 110, 20, 0.6, 12, 0, 0) - - create_line_from_parameters(net, 2, 3, 13.1, 0.0681, 0.102, 0, 1e3, 'L1', parallel=2) - - from_buses = np.array([3, 4, 3, 6, 7, 7, 3, 10, 11, 11, 12]) - to_buses = np.array([4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 13]) - length_km = [1.1, 0.55, 0.79, 0.17, 0.4, 0.55, 0.95, 0.24, 0.29, 0.15, 0.495] - names = [f"L{i}" for i in range(2, 13)] - create_lines_from_parameters(net, from_buses, to_buses, length_km, 0.211, 0.122, 0, 1e3, names) - - sgen_buses = np.array([4, 5, 6, 8, 9, 10, 12, 13, 3, 14]) - if case == "all_async_doubly_fed": - create_sgens(net, sgen_buses, 0, 0, 2.5, rx=0.1, current_source=False, - generator_type="async_doubly_fed", max_ik_ka=0.388, kappa=1.7) - elif case == "all_full_size_converter": - create_sgens(net, sgen_buses, 0, 0, 2.5, rx=0.1, k=1.3, current_source=True, - generator_type="current_source") - elif case == "mixed": - create_sgens(net, sgen_buses[:5], 0, 0, 2.5, rx=0.1, current_source=False, - generator_type="async_doubly_fed", max_ik_ka=0.388, kappa=1.7) - create_sgens(net, sgen_buses[5:], 0, 0, 2.5, rx=0.1, k=1.3, current_source=True, - generator_type="current_source") - else: - raise NotImplementedError(f"case {case} not implemented") - - if len(net.sgen) > 0: - net.sgen["current_angle_degree"] = -90 - return net - - -def wind_park_example(): - net = pandapowerNet(name="wind_park_example", sn_mva=8) - b1 = create_bus(net, vn_kv=110., index=1) - b2 = create_bus(net, vn_kv=110., index=2) - b3 = create_bus(net, vn_kv=110., index=3) - b4 = create_bus(net, vn_kv=110., index=4) - create_ext_grid(net, b1, s_sc_max_mva=20 * 110 * np.sqrt(3), rx_max=0.1) - - create_line_from_parameters(net, from_bus=b1, to_bus=b2, length_km=100, r_ohm_per_km=0.120, x_ohm_per_km=0.393, - c_nf_per_km=0, max_i_ka=10) - create_line_from_parameters(net, from_bus=b1, to_bus=b3, length_km=50, r_ohm_per_km=0.120, x_ohm_per_km=0.393, - c_nf_per_km=0, max_i_ka=10) - create_line_from_parameters(net, from_bus=b2, to_bus=b3, length_km=50, r_ohm_per_km=0.120, x_ohm_per_km=0.393, - c_nf_per_km=0, max_i_ka=10) - create_line_from_parameters(net, from_bus=b3, to_bus=b4, length_km=25, r_ohm_per_km=0.120, x_ohm_per_km=0.393, - c_nf_per_km=0, max_i_ka=10) - - create_sgen(net, b2, p_mw=0.1e3, sn_mva=100) - create_sgen(net, b3, p_mw=0.050e3, sn_mva=50) - create_sgen(net, b4, p_mw=0.050e3, sn_mva=50) - net.sgen["k"] = 1.2 - return net - - -def three_bus_example(): - net = pandapowerNet(name="three_bus_example", sn_mva=9) - b1 = create_bus(net, 110) - b2 = create_bus(net, 110) - b3 = create_bus(net, 110) - - create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4, x0x_max=0.2, x0x_min=0.1, - r0x0_max=0.3, r0x0_min=0.2) - net.ext_grid['x0x_min'] = 0.1 - net.ext_grid['r0x0_min'] = 0.1 - create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) - create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) - net.line['r0_ohm_per_km'] = 0.1 - net.line['x0_ohm_per_km'] = 0.1 - net.line['c0_nf_per_km'] = 0.1 - net.line["endtemp_degree"] = 80 - - create_sgen(net, b2, sn_mva=2, p_mw=0, k=1.2) - return net - - -def big_sgen_three_bus_example(): - # ext_grid-bus1--line0--bus2--line1--bus3 - # | - # sgen0 - net = pandapowerNet(name="big_sgen_three_bus_example", sn_mva=2) - b1 = create_bus(net, 110) - b2 = create_bus(net, 110) - b3 = create_bus(net, 110) - - create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) - net.ext_grid['x0x_min'] = 0.1 - net.ext_grid['r0x0_min'] = 0.1 - net.ext_grid['x0x_max'] = 0.1 - net.ext_grid['r0x0_max'] = 0.1 - - create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) - create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) - net.line['r0_ohm_per_km'] = 0.1 - net.line['x0_ohm_per_km'] = 0.1 - net.line['c0_nf_per_km'] = 0.1 - net.line["endtemp_degree"] = 80 - - create_sgen(net, b2, sn_mva=200., p_mw=0, k=1.2) - return net - - -def test_max_3ph_branch_small_sgen(): - net = three_bus_example() - calc_sc(net, case="max", ip=True, ith=True, branch_results=True) - assert np.allclose(net.res_bus_sc.ikss_ka.values, np.array([0.53746061, 0.50852707, 0.4988896])) - assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([0.49593034, 0.4988896])) - assert np.allclose(net.res_line_sc.ip_ka.values, np.array([0.92787443, 0.9251165])) - assert np.allclose(net.res_line_sc.ith_ka.values, np.array([0.49811957, 0.50106881])) - - -def test_max_3ph_branch_big_sgen(): - net = big_sgen_three_bus_example() - calc_sc(net, case="max", ip=True, ith=True, branch_results=True) - assert np.allclose(net.res_bus_sc.ikss_ka.values, np.array([1.78453722, 1.75560368, 1.72233192])) - assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([1.25967331, 1.72233192])) - assert np.allclose(net.res_line_sc.ip_ka.values, np.array([1.78144709, 2.65532524])) - assert np.allclose(net.res_line_sc.ith_ka.values, np.array([1.26511638, 1.7298553])) - - -def test_min_3ph_branch_results_small_sgen(): - net = three_bus_example() - calc_sc(net, case="min", ip=True, ith=True, branch_results=True) - assert np.allclose(net.res_bus_sc.ikss_ka.values, np.array([0.419891, 0.398969, 0.391938]), atol=1e-6, rtol=0) - assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([0.391938, 0.391938]), atol=1e-6, rtol=0) - assert np.allclose(net.res_line_sc.ip_ka.values, np.array([0.744387, 0.728265]), atol=1e-6, rtol=0) - assert np.allclose(net.res_line_sc.ith_ka.values, np.array([0.400712, 0.393625]), atol=1e-6, rtol=0) - - -def test_min_3ph_branch_results_big_sgen(): - net = big_sgen_three_bus_example() - # net.sn_mva = 110 * np.sqrt(3) - # because in case "min" sgen is ignored, it doesn't matter if sgen is big or small - - # the results here are the same as in the test test_min_3ph_branch_results_small_sgen - calc_sc(net, case="min", ip=True, ith=True, branch_results=True) - assert np.allclose(net.res_bus_sc.ikss_ka.values, np.array([0.419891, 0.398969, 0.391938]), atol=1e-6, rtol=0) - assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([0.391938, 0.391938]), atol=1e-6, rtol=0) - assert np.allclose(net.res_line_sc.ip_ka.values, np.array([0.744387, 0.728265]), atol=1e-6, rtol=0) - assert np.allclose(net.res_line_sc.ith_ka.values, np.array([0.400712, 0.393625]), atol=1e-6, rtol=0) - - -def test_max_1ph_branch_small_sgen(): - # This test just check coherence between branch ikss_ka results and bus ikss_ka results - - # With generator - net = three_bus_example() - calc_sc(net, case="max", fault='1ph', branch_results=True) - i_bus_with_sgen = net.res_bus_sc.copy() - i_line_with_gen = net.res_line_sc.copy() - - # Without generator - net = three_bus_example() - net.sgen.in_service = False - calc_sc(net, case="max", fault='1ph', branch_results=True) - i_bus_without_sgen = net.res_bus_sc.copy() - - # Check coherence between bus result and branch results - assert np.isclose(i_line_with_gen.ikss_ka.at[0], i_bus_without_sgen.ikss_ka.at[1], atol=1e-4) - assert np.isclose(i_line_with_gen.ikss_ka.at[1], i_bus_with_sgen.ikss_ka.at[2], atol=1e-4) - - -def test_max_1ph_branch_big_sgen(): - # This test just check coherence between branch ikss_ka results and bus ikss_ka results - - # With generator - net = big_sgen_three_bus_example() - calc_sc(net, case="max", fault='1ph', branch_results=True) - i_bus_with_sgen = net.res_bus_sc.copy() - i_line_with_gen = net.res_line_sc.copy() - - # Without generator - net = big_sgen_three_bus_example() - net.sgen.in_service = False - calc_sc(net, case="max", fault='1ph', branch_results=True) - i_bus_without_sgen = net.res_bus_sc.copy() - - # Isolate sgen contribution - i_bus_only_sgen = i_bus_with_sgen - i_bus_without_sgen - - # Check coherence between bus result and branch results - # Since here sgen ikss_ka > ext_grid ikss_ka - assert np.isclose(i_line_with_gen.ikss_ka.at[0], i_bus_only_sgen.ikss_ka.at[0], atol=1e-4) - assert np.isclose(i_line_with_gen.ikss_ka.at[1], i_bus_with_sgen.ikss_ka.at[2], atol=1e-4) - - -def test_min_1ph_branch_small_sgen(): - # This test just check coherence between branch ikss_ka results and bus ikss_ka results - - # With generator - net = three_bus_example() - calc_sc(net, case="min", fault='1ph', branch_results=True) - i_bus_with_sgen = net.res_bus_sc.copy() - i_line_with_gen = net.res_line_sc.copy() - - # Without generator - net = three_bus_example() - net.sgen.in_service = False - calc_sc(net, case="min", fault='1ph', branch_results=True) - i_bus_without_sgen = net.res_bus_sc.copy() - - # Isolate sgen contribution - i_bus_only_sgen = i_bus_with_sgen - i_bus_without_sgen - - # Check coherence between bus result and branch results - # in case 'min' sgen does not contribute so this check does not apply: - # assert np.isclose(i_line_with_gen.ikss_ka.at[0], i_bus_only_sgen.ikss_ka.at[0], atol=1e-4) - assert np.isclose(0, i_bus_only_sgen.ikss_ka.at[0], atol=1e-6) - assert np.isclose(i_line_with_gen.ikss_ka.at[1], i_bus_with_sgen.ikss_ka.at[2], atol=1e-6) - - -def test_min_1ph_branch_big_sgen(): - # This test just check coherence between branch ikss_ka results and bus ikss_ka results - - # With generator - net = big_sgen_three_bus_example() - calc_sc(net, case="min", fault='1ph', branch_results=True) - i_bus_with_sgen = net.res_bus_sc.copy() - i_line_with_sgen = net.res_line_sc.copy() - - # Without generator - net = big_sgen_three_bus_example() - net.sgen.in_service = False - calc_sc(net, case="min", fault='1ph', branch_results=True) - i_bus_without_sgen = net.res_bus_sc.copy() - - # Isolate sgen contribution - i_bus_only_sgen = i_bus_with_sgen - i_bus_without_sgen - - # Applying current divider: when sc is on bus 2 a small portion sgen ikss_ka flows along line_0 in the opposite - # direction with respect of ext_grid ikss_ka - i_line_1 = i_bus_without_sgen.ikss_ka.at[2] - (i_bus_only_sgen.ikss_ka.at[1] - i_bus_only_sgen.ikss_ka.at[2]) - - # Check coherence between bus result and branch results - assert np.isclose(i_line_with_sgen.ikss_ka.at[0], i_line_1, atol=1e-4) - assert np.isclose(i_line_with_sgen.ikss_ka.at[1], i_bus_with_sgen.ikss_ka.at[2], atol=1e-4) - - -def test_wind_park(): - net = wind_park_example() - calc_sc(net, ip=True) - assert np.isclose(net.res_bus_sc.ikss_ka.at[2], 3.9034, rtol=1e-4) - assert np.isclose(net.res_bus_sc.ip_ka.at[2], 7.3746, rtol=1e-4) - - -def test_wind_park_1(): - # example from IEC 60909-4 section 8.5 - net = wind_park_grid("all_async_doubly_fed") - calc_sc(net) - ikss_ka = [10.745, 9.045, 6.978, 6.385, 6.095, 6.568, 6.478, 6.262, - 6.184, 6.513, 6.394, 6.247, 5.993, 6.313] - assert np.allclose(net.res_bus_sc.ikss_ka, ikss_ka, atol=1e-3, rtol=0) - - -def test_wind_park_2(): - # example from IEC 60909-4 section 8.6 - net = wind_park_grid("all_full_size_converter") - calc_sc(net) - ikss_ka = [10.671, 8.387, 6.161, 5.728, 5.522, 5.852, 5.787, 5.633, - 5.577, 5.797, 5.708, 5.600, 5.419, 5.651] - assert np.allclose(net.res_bus_sc.ikss_ka, ikss_ka, atol=1.5e-3, rtol=0) - - -def test_wind_park_3(): - # example from IEC 60909-4 section 8.7 - net = wind_park_grid("mixed") - calc_sc(net) - ikss_ka = [10.713, 8.734, 6.570, 6.078, 5.834, 6.232, 6.157, 5.976, - 5.910, 6.124, 6.015, 5.884, 5.666, 5.946] - assert np.allclose(net.res_bus_sc.ikss_ka, ikss_ka, atol=1e-3, rtol=0) - - -def test_wind_power_station_unit(): - # full size converter (current source) - net = simplest_test_grid('current_source') - calc_sc(net, ip=True) - - vn_kv = net.bus.vn_kv.at[0] - sn_mva = net.sgen.sn_mva.at[0] - k = net.sgen.k.at[0] - ikss_ka = k * sn_mva / (np.sqrt(3) * vn_kv) - skss_mw = ikss_ka * vn_kv * np.sqrt(3) - assert np.isclose(net.res_bus_sc.at[0, 'ikss_ka'], ikss_ka, rtol=0, atol=1e-12) - assert np.isclose(net.res_bus_sc.at[0, 'ip_ka'], ikss_ka * np.sqrt(2), rtol=0, atol=1e-12) - assert np.isclose(net.res_bus_sc.at[0, 'skss_mw'], skss_mw, rtol=0, atol=1e-9) - - # doubly fed asynchronous generator (DFIG), kappa not calculated but provided by manufacturer - net = simplest_test_grid("async_doubly_fed") - calc_sc(net, ip=True) - - kappa = net.sgen.kappa.at[0] - vn_kv = net.bus.vn_kv.at[0] - max_ik_ka = net.sgen.max_ik_ka.at[0] - z_wd = np.sqrt(2) * kappa * vn_kv / (np.sqrt(3) * max_ik_ka) - c = 1.1 - ikss_ka = c * net.bus.vn_kv.at[0] / (np.sqrt(3) * z_wd) - skss_mw = ikss_ka * vn_kv * np.sqrt(3) - assert np.isclose(net.res_bus_sc.at[0, 'ikss_ka'], ikss_ka, rtol=0, atol=1e-12) - assert np.isclose(net.res_bus_sc.at[0, 'ip_ka'], ikss_ka * kappa * np.sqrt(2), rtol=0, atol=1e-12) - assert np.isclose(net.res_bus_sc.at[0, 'skss_mw'], skss_mw, rtol=0, atol=1e-9) - - # asynchronous generator (also with a step-up trafo) - net = simplest_test_grid("async") - calc_sc(net, ip=True) - - vn_kv = net.bus.vn_kv.at[0] - sn_mva = net.sgen.sn_mva.at[0] - lrc_pu = net.sgen.lrc_pu.at[0] - rx = net.sgen.rx.at[0] - z_g = 1 / lrc_pu * vn_kv ** 2 / sn_mva - c = 1.1 - ikss_ka = c * vn_kv / (np.sqrt(3) * z_g) - kappa = 1.02 + 0.98 * np.exp(-3 * 0.1) - skss_mw = ikss_ka * vn_kv * np.sqrt(3) - assert np.isclose(net.res_bus_sc.at[0, 'ikss_ka'], ikss_ka, rtol=0, atol=1e-12) - assert np.isclose(net.res_bus_sc.at[0, 'ip_ka'], ikss_ka * kappa * np.sqrt(2), rtol=0, atol=1e-12) - assert np.isclose(net.res_bus_sc.at[0, 'skss_mw'], skss_mw, rtol=0, atol=1e-9) - - # now async with a step-up trafo - net = simplest_test_grid("async", True) - calc_sc(net, ip=True) - - vn_kv = net.bus.vn_kv.at[1] - sn_mva = net.sgen.sn_mva.at[0] - lrc_pu = net.sgen.lrc_pu.at[0] - rx = net.sgen.rx.at[0] - z_g = 1 / lrc_pu * vn_kv ** 2 / sn_mva - z_g_complex = (rx + 1j) * z_g / (np.sqrt(1 + rx ** 2)) - c = 1.1 - ikss_ka = c * vn_kv / (np.sqrt(3) * z_g) - kappa = 1.02 + 0.98 * np.exp(-3 * rx) - skss_mw = ikss_ka * 0.4 * np.sqrt(3) - assert np.isclose(net.res_bus_sc.at[1, 'ikss_ka'], ikss_ka, rtol=0, atol=1e-9) - assert np.isclose(net.res_bus_sc.at[1, 'ip_ka'], ikss_ka * kappa * np.sqrt(2), rtol=0, atol=1e-9) - assert np.isclose(net.res_bus_sc.at[1, 'skss_mw'], skss_mw, rtol=0, atol=1e-9) - assert np.isclose(net.res_bus_sc.at[1, 'rk_ohm'], z_g_complex.real, rtol=0, atol=1e-9) - assert np.isclose(net.res_bus_sc.at[1, 'xk_ohm'], z_g_complex.imag, rtol=0, atol=1e-9) - - base_z_ohm = 20 ** 2 / net.sn_mva - z_thv = (net._ppc['branch'][0, BR_R] + 1j * net._ppc['branch'][0, BR_X]) * base_z_ohm - t_r = 20 / 0.4 - z_block = t_r ** 2 * z_g_complex + z_thv - ikss_block_ka = c * 20 / (np.sqrt(3) * abs(z_block)) - skss_block_mw = ikss_block_ka * 20 * np.sqrt(3) - kappa_block = 1.02 + 0.98 * np.exp(-3 * z_block.real / z_block.imag) - assert np.isclose(net.res_bus_sc.at[0, 'ikss_ka'], ikss_block_ka, rtol=0, atol=1e-9) - assert np.isclose(net.res_bus_sc.at[0, 'ip_ka'], ikss_block_ka * kappa_block * np.sqrt(2), rtol=0, atol=1e-9) - assert np.isclose(net.res_bus_sc.at[0, 'skss_mw'], skss_block_mw, rtol=0, atol=1e-9) - assert np.isclose(net.res_bus_sc.at[0, 'rk_ohm'], z_block.real, rtol=0, atol=1e-9) - assert np.isclose(net.res_bus_sc.at[0, 'xk_ohm'], z_block.imag, rtol=0, atol=1e-9) - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import numpy as np +import pytest + +from pandapower.create import ( + create_bus, create_ext_grid, create_sgen, create_buses, create_transformer_from_parameters, + create_line_from_parameters, create_lines_from_parameters, create_sgens, create_line +) +from pandapower.network import pandapowerNet +from pandapower.networks.simple_pandapower_test_networks import simplest_test_grid +from pandapower.pypower.idx_brch import BR_R, BR_X +from pandapower.shortcircuit.calc_sc import calc_sc + + +def wind_park_grid(case): + net = pandapowerNet(name="wind_park_grid", sn_mva=7) + create_bus(net, 110, index=1) + create_buses(net, 13, 20) + + create_ext_grid(net, 1, 1, s_sc_max_mva=10.5 * 110 * np.sqrt(3), rx_max=0.1) + + create_transformer_from_parameters(net, 1, 2, 31.5, 110, 20, 0.6, 12, 0, 0) + + create_line_from_parameters(net, 2, 3, 13.1, 0.0681, 0.102, 0, 1e3, 'L1', parallel=2) + + from_buses = np.array([3, 4, 3, 6, 7, 7, 3, 10, 11, 11, 12]) + to_buses = np.array([4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 13]) + length_km = [1.1, 0.55, 0.79, 0.17, 0.4, 0.55, 0.95, 0.24, 0.29, 0.15, 0.495] + names = [f"L{i}" for i in range(2, 13)] + create_lines_from_parameters(net, from_buses, to_buses, length_km, 0.211, 0.122, 0, 1e3, names) + + sgen_buses = np.array([4, 5, 6, 8, 9, 10, 12, 13, 3, 14]) + if case == "all_async_doubly_fed": + create_sgens(net, sgen_buses, 0, 0, 2.5, rx=0.1, current_source=False, + generator_type="async_doubly_fed", max_ik_ka=0.388, kappa=1.7) + elif case == "all_full_size_converter": + create_sgens(net, sgen_buses, 0, 0, 2.5, rx=0.1, k=1.3, current_source=True, + generator_type="current_source") + elif case == "mixed": + create_sgens(net, sgen_buses[:5], 0, 0, 2.5, rx=0.1, current_source=False, + generator_type="async_doubly_fed", max_ik_ka=0.388, kappa=1.7) + create_sgens(net, sgen_buses[5:], 0, 0, 2.5, rx=0.1, k=1.3, current_source=True, + generator_type="current_source") + else: + raise NotImplementedError(f"case {case} not implemented") + + if len(net.sgen) > 0: + net.sgen["current_angle_degree"] = -90 + return net + + +def wind_park_example(): + net = pandapowerNet(name="wind_park_example", sn_mva=8) + b1 = create_bus(net, vn_kv=110., index=1) + b2 = create_bus(net, vn_kv=110., index=2) + b3 = create_bus(net, vn_kv=110., index=3) + b4 = create_bus(net, vn_kv=110., index=4) + create_ext_grid(net, b1, s_sc_max_mva=20 * 110 * np.sqrt(3), rx_max=0.1) + + create_line_from_parameters(net, from_bus=b1, to_bus=b2, length_km=100, r_ohm_per_km=0.120, x_ohm_per_km=0.393, + c_nf_per_km=0, max_i_ka=10) + create_line_from_parameters(net, from_bus=b1, to_bus=b3, length_km=50, r_ohm_per_km=0.120, x_ohm_per_km=0.393, + c_nf_per_km=0, max_i_ka=10) + create_line_from_parameters(net, from_bus=b2, to_bus=b3, length_km=50, r_ohm_per_km=0.120, x_ohm_per_km=0.393, + c_nf_per_km=0, max_i_ka=10) + create_line_from_parameters(net, from_bus=b3, to_bus=b4, length_km=25, r_ohm_per_km=0.120, x_ohm_per_km=0.393, + c_nf_per_km=0, max_i_ka=10) + + create_sgen(net, b2, p_mw=0.1e3, sn_mva=100) + create_sgen(net, b3, p_mw=0.050e3, sn_mva=50) + create_sgen(net, b4, p_mw=0.050e3, sn_mva=50) + net.sgen["k"] = 1.2 + return net + + +def three_bus_example(): + net = pandapowerNet(name="three_bus_example", sn_mva=9) + b1 = create_bus(net, 110) + b2 = create_bus(net, 110) + b3 = create_bus(net, 110) + + create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4, x0x_max=0.2, x0x_min=0.1, + r0x0_max=0.3, r0x0_min=0.2) + net.ext_grid['x0x_min'] = 0.1 + net.ext_grid['r0x0_min'] = 0.1 + create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) + create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) + net.line['r0_ohm_per_km'] = 0.1 + net.line['x0_ohm_per_km'] = 0.1 + net.line['c0_nf_per_km'] = 0.1 + net.line["endtemp_degree"] = 80 + + create_sgen(net, b2, sn_mva=2, p_mw=0, k=1.2) + return net + + +def big_sgen_three_bus_example(): + # ext_grid-bus1--line0--bus2--line1--bus3 + # | + # sgen0 + net = pandapowerNet(name="big_sgen_three_bus_example", sn_mva=2) + b1 = create_bus(net, 110) + b2 = create_bus(net, 110) + b3 = create_bus(net, 110) + + create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=80., rx_min=0.4, rx_max=0.4) + net.ext_grid['x0x_min'] = 0.1 + net.ext_grid['r0x0_min'] = 0.1 + net.ext_grid['x0x_max'] = 0.1 + net.ext_grid['r0x0_max'] = 0.1 + + create_line(net, b1, b2, std_type="305-AL1/39-ST1A 110.0", length_km=20.) + create_line(net, b2, b3, std_type="N2XS(FL)2Y 1x185 RM/35 64/110 kV", length_km=15.) + net.line['r0_ohm_per_km'] = 0.1 + net.line['x0_ohm_per_km'] = 0.1 + net.line['c0_nf_per_km'] = 0.1 + net.line["endtemp_degree"] = 80 + + create_sgen(net, b2, sn_mva=200., p_mw=0, k=1.2) + return net + + +def test_max_3ph_branch_small_sgen(): + net = three_bus_example() + calc_sc(net, case="max", ip=True, ith=True, branch_results=True) + assert np.allclose(net.res_bus_sc.ikss_ka.values, np.array([0.53746061, 0.50852707, 0.4988896])) + assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([0.49593034, 0.4988896])) + assert np.allclose(net.res_line_sc.ip_ka.values, np.array([0.92787443, 0.9251165])) + assert np.allclose(net.res_line_sc.ith_ka.values, np.array([0.49811957, 0.50106881])) + + +def test_max_3ph_branch_big_sgen(): + net = big_sgen_three_bus_example() + calc_sc(net, case="max", ip=True, ith=True, branch_results=True) + assert np.allclose(net.res_bus_sc.ikss_ka.values, np.array([1.78453722, 1.75560368, 1.72233192])) + assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([1.25967331, 1.72233192])) + assert np.allclose(net.res_line_sc.ip_ka.values, np.array([1.78144709, 2.65532524])) + assert np.allclose(net.res_line_sc.ith_ka.values, np.array([1.26511638, 1.7298553])) + + +def test_min_3ph_branch_results_small_sgen(): + net = three_bus_example() + calc_sc(net, case="min", ip=True, ith=True, branch_results=True) + assert np.allclose(net.res_bus_sc.ikss_ka.values, np.array([0.419891, 0.398969, 0.391938]), atol=1e-6, rtol=0) + assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([0.391938, 0.391938]), atol=1e-6, rtol=0) + assert np.allclose(net.res_line_sc.ip_ka.values, np.array([0.744387, 0.728265]), atol=1e-6, rtol=0) + assert np.allclose(net.res_line_sc.ith_ka.values, np.array([0.400712, 0.393625]), atol=1e-6, rtol=0) + + +def test_min_3ph_branch_results_big_sgen(): + net = big_sgen_three_bus_example() + # net.sn_mva = 110 * np.sqrt(3) + # because in case "min" sgen is ignored, it doesn't matter if sgen is big or small - + # the results here are the same as in the test test_min_3ph_branch_results_small_sgen + calc_sc(net, case="min", ip=True, ith=True, branch_results=True) + assert np.allclose(net.res_bus_sc.ikss_ka.values, np.array([0.419891, 0.398969, 0.391938]), atol=1e-6, rtol=0) + assert np.allclose(net.res_line_sc.ikss_ka.values, np.array([0.391938, 0.391938]), atol=1e-6, rtol=0) + assert np.allclose(net.res_line_sc.ip_ka.values, np.array([0.744387, 0.728265]), atol=1e-6, rtol=0) + assert np.allclose(net.res_line_sc.ith_ka.values, np.array([0.400712, 0.393625]), atol=1e-6, rtol=0) + + +def test_max_1ph_branch_small_sgen(): + # This test just check coherence between branch ikss_ka results and bus ikss_ka results + + # With generator + net = three_bus_example() + calc_sc(net, case="max", fault='1ph', branch_results=True) + i_bus_with_sgen = net.res_bus_sc.copy() + i_line_with_gen = net.res_line_sc.copy() + + # Without generator + net = three_bus_example() + net.sgen.in_service = False + calc_sc(net, case="max", fault='1ph', branch_results=True) + i_bus_without_sgen = net.res_bus_sc.copy() + + # Check coherence between bus result and branch results + assert np.isclose(i_line_with_gen.ikss_ka.at[0], i_bus_without_sgen.ikss_ka.at[1], atol=1e-4) + assert np.isclose(i_line_with_gen.ikss_ka.at[1], i_bus_with_sgen.ikss_ka.at[2], atol=1e-4) + + +def test_max_1ph_branch_big_sgen(): + # This test just check coherence between branch ikss_ka results and bus ikss_ka results + + # With generator + net = big_sgen_three_bus_example() + calc_sc(net, case="max", fault='1ph', branch_results=True) + i_bus_with_sgen = net.res_bus_sc.copy() + i_line_with_gen = net.res_line_sc.copy() + + # Without generator + net = big_sgen_three_bus_example() + net.sgen.in_service = False + calc_sc(net, case="max", fault='1ph', branch_results=True) + i_bus_without_sgen = net.res_bus_sc.copy() + + # Isolate sgen contribution + i_bus_only_sgen = i_bus_with_sgen - i_bus_without_sgen + + # Check coherence between bus result and branch results + # Since here sgen ikss_ka > ext_grid ikss_ka + assert np.isclose(i_line_with_gen.ikss_ka.at[0], i_bus_only_sgen.ikss_ka.at[0], atol=1e-4) + assert np.isclose(i_line_with_gen.ikss_ka.at[1], i_bus_with_sgen.ikss_ka.at[2], atol=1e-4) + + +def test_min_1ph_branch_small_sgen(): + # This test just check coherence between branch ikss_ka results and bus ikss_ka results + + # With generator + net = three_bus_example() + calc_sc(net, case="min", fault='1ph', branch_results=True) + i_bus_with_sgen = net.res_bus_sc.copy() + i_line_with_gen = net.res_line_sc.copy() + + # Without generator + net = three_bus_example() + net.sgen.in_service = False + calc_sc(net, case="min", fault='1ph', branch_results=True) + i_bus_without_sgen = net.res_bus_sc.copy() + + # Isolate sgen contribution + i_bus_only_sgen = i_bus_with_sgen - i_bus_without_sgen + + # Check coherence between bus result and branch results + # in case 'min' sgen does not contribute so this check does not apply: + # assert np.isclose(i_line_with_gen.ikss_ka.at[0], i_bus_only_sgen.ikss_ka.at[0], atol=1e-4) + assert np.isclose(0, i_bus_only_sgen.ikss_ka.at[0], atol=1e-6) + assert np.isclose(i_line_with_gen.ikss_ka.at[1], i_bus_with_sgen.ikss_ka.at[2], atol=1e-6) + + +def test_min_1ph_branch_big_sgen(): + # This test just check coherence between branch ikss_ka results and bus ikss_ka results + + # With generator + net = big_sgen_three_bus_example() + calc_sc(net, case="min", fault='1ph', branch_results=True) + i_bus_with_sgen = net.res_bus_sc.copy() + i_line_with_sgen = net.res_line_sc.copy() + + # Without generator + net = big_sgen_three_bus_example() + net.sgen.in_service = False + calc_sc(net, case="min", fault='1ph', branch_results=True) + i_bus_without_sgen = net.res_bus_sc.copy() + + # Isolate sgen contribution + i_bus_only_sgen = i_bus_with_sgen - i_bus_without_sgen + + # Applying current divider: when sc is on bus 2 a small portion sgen ikss_ka flows along line_0 in the opposite + # direction with respect of ext_grid ikss_ka + i_line_1 = i_bus_without_sgen.ikss_ka.at[2] - (i_bus_only_sgen.ikss_ka.at[1] - i_bus_only_sgen.ikss_ka.at[2]) + + # Check coherence between bus result and branch results + assert np.isclose(i_line_with_sgen.ikss_ka.at[0], i_line_1, atol=1e-4) + assert np.isclose(i_line_with_sgen.ikss_ka.at[1], i_bus_with_sgen.ikss_ka.at[2], atol=1e-4) + + +def test_wind_park(): + net = wind_park_example() + calc_sc(net, ip=True) + assert np.isclose(net.res_bus_sc.ikss_ka.at[2], 3.9034, rtol=1e-4) + assert np.isclose(net.res_bus_sc.ip_ka.at[2], 7.3746, rtol=1e-4) + + +def test_wind_park_1(): + # example from IEC 60909-4 section 8.5 + net = wind_park_grid("all_async_doubly_fed") + calc_sc(net) + ikss_ka = [10.745, 9.045, 6.978, 6.385, 6.095, 6.568, 6.478, 6.262, + 6.184, 6.513, 6.394, 6.247, 5.993, 6.313] + assert np.allclose(net.res_bus_sc.ikss_ka, ikss_ka, atol=1e-3, rtol=0) + + +def test_wind_park_2(): + # example from IEC 60909-4 section 8.6 + net = wind_park_grid("all_full_size_converter") + calc_sc(net) + ikss_ka = [10.671, 8.387, 6.161, 5.728, 5.522, 5.852, 5.787, 5.633, + 5.577, 5.797, 5.708, 5.600, 5.419, 5.651] + assert np.allclose(net.res_bus_sc.ikss_ka, ikss_ka, atol=1.5e-3, rtol=0) + + +def test_wind_park_3(): + # example from IEC 60909-4 section 8.7 + net = wind_park_grid("mixed") + calc_sc(net) + ikss_ka = [10.713, 8.734, 6.570, 6.078, 5.834, 6.232, 6.157, 5.976, + 5.910, 6.124, 6.015, 5.884, 5.666, 5.946] + assert np.allclose(net.res_bus_sc.ikss_ka, ikss_ka, atol=1e-3, rtol=0) + + +def test_wind_power_station_unit(): + # full size converter (current source) + net = simplest_test_grid('current_source') + calc_sc(net, ip=True) + + vn_kv = net.bus.vn_kv.at[0] + sn_mva = net.sgen.sn_mva.at[0] + k = net.sgen.k.at[0] + ikss_ka = k * sn_mva / (np.sqrt(3) * vn_kv) + skss_mw = ikss_ka * vn_kv * np.sqrt(3) + assert np.isclose(net.res_bus_sc.at[0, 'ikss_ka'], ikss_ka, rtol=0, atol=1e-12) + assert np.isclose(net.res_bus_sc.at[0, 'ip_ka'], ikss_ka * np.sqrt(2), rtol=0, atol=1e-12) + assert np.isclose(net.res_bus_sc.at[0, 'skss_mw'], skss_mw, rtol=0, atol=1e-9) + + # doubly fed asynchronous generator (DFIG), kappa not calculated but provided by manufacturer + net = simplest_test_grid("async_doubly_fed") + calc_sc(net, ip=True) + + kappa = net.sgen.kappa.at[0] + vn_kv = net.bus.vn_kv.at[0] + max_ik_ka = net.sgen.max_ik_ka.at[0] + z_wd = np.sqrt(2) * kappa * vn_kv / (np.sqrt(3) * max_ik_ka) + c = 1.1 + ikss_ka = c * net.bus.vn_kv.at[0] / (np.sqrt(3) * z_wd) + skss_mw = ikss_ka * vn_kv * np.sqrt(3) + assert np.isclose(net.res_bus_sc.at[0, 'ikss_ka'], ikss_ka, rtol=0, atol=1e-12) + assert np.isclose(net.res_bus_sc.at[0, 'ip_ka'], ikss_ka * kappa * np.sqrt(2), rtol=0, atol=1e-12) + assert np.isclose(net.res_bus_sc.at[0, 'skss_mw'], skss_mw, rtol=0, atol=1e-9) + + # asynchronous generator (also with a step-up trafo) + net = simplest_test_grid("async") + calc_sc(net, ip=True) + + vn_kv = net.bus.vn_kv.at[0] + sn_mva = net.sgen.sn_mva.at[0] + lrc_pu = net.sgen.lrc_pu.at[0] + rx = net.sgen.rx.at[0] + z_g = 1 / lrc_pu * vn_kv ** 2 / sn_mva + c = 1.1 + ikss_ka = c * vn_kv / (np.sqrt(3) * z_g) + kappa = 1.02 + 0.98 * np.exp(-3 * 0.1) + skss_mw = ikss_ka * vn_kv * np.sqrt(3) + assert np.isclose(net.res_bus_sc.at[0, 'ikss_ka'], ikss_ka, rtol=0, atol=1e-12) + assert np.isclose(net.res_bus_sc.at[0, 'ip_ka'], ikss_ka * kappa * np.sqrt(2), rtol=0, atol=1e-12) + assert np.isclose(net.res_bus_sc.at[0, 'skss_mw'], skss_mw, rtol=0, atol=1e-9) + + # now async with a step-up trafo + net = simplest_test_grid("async", True) + calc_sc(net, ip=True) + + vn_kv = net.bus.vn_kv.at[1] + sn_mva = net.sgen.sn_mva.at[0] + lrc_pu = net.sgen.lrc_pu.at[0] + rx = net.sgen.rx.at[0] + z_g = 1 / lrc_pu * vn_kv ** 2 / sn_mva + z_g_complex = (rx + 1j) * z_g / (np.sqrt(1 + rx ** 2)) + c = 1.1 + ikss_ka = c * vn_kv / (np.sqrt(3) * z_g) + kappa = 1.02 + 0.98 * np.exp(-3 * rx) + skss_mw = ikss_ka * 0.4 * np.sqrt(3) + assert np.isclose(net.res_bus_sc.at[1, 'ikss_ka'], ikss_ka, rtol=0, atol=1e-9) + assert np.isclose(net.res_bus_sc.at[1, 'ip_ka'], ikss_ka * kappa * np.sqrt(2), rtol=0, atol=1e-9) + assert np.isclose(net.res_bus_sc.at[1, 'skss_mw'], skss_mw, rtol=0, atol=1e-9) + assert np.isclose(net.res_bus_sc.at[1, 'rk_ohm'], z_g_complex.real, rtol=0, atol=1e-9) + assert np.isclose(net.res_bus_sc.at[1, 'xk_ohm'], z_g_complex.imag, rtol=0, atol=1e-9) + + base_z_ohm = 20 ** 2 / net.sn_mva + z_thv = (net._ppc['branch'][0, BR_R] + 1j * net._ppc['branch'][0, BR_X]) * base_z_ohm + t_r = 20 / 0.4 + z_block = t_r ** 2 * z_g_complex + z_thv + ikss_block_ka = c * 20 / (np.sqrt(3) * abs(z_block)) + skss_block_mw = ikss_block_ka * 20 * np.sqrt(3) + kappa_block = 1.02 + 0.98 * np.exp(-3 * z_block.real / z_block.imag) + assert np.isclose(net.res_bus_sc.at[0, 'ikss_ka'], ikss_block_ka, rtol=0, atol=1e-9) + assert np.isclose(net.res_bus_sc.at[0, 'ip_ka'], ikss_block_ka * kappa_block * np.sqrt(2), rtol=0, atol=1e-9) + assert np.isclose(net.res_bus_sc.at[0, 'skss_mw'], skss_block_mw, rtol=0, atol=1e-9) + assert np.isclose(net.res_bus_sc.at[0, 'rk_ohm'], z_block.real, rtol=0, atol=1e-9) + assert np.isclose(net.res_bus_sc.at[0, 'xk_ohm'], z_block.imag, rtol=0, atol=1e-9) + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/shortcircuit/test_trafo3w.py b/test/shortcircuit/test_trafo3w.py similarity index 97% rename from pandapower/test/shortcircuit/test_trafo3w.py rename to test/shortcircuit/test_trafo3w.py index d8e8acba20..3d92d6b514 100644 --- a/pandapower/test/shortcircuit/test_trafo3w.py +++ b/test/shortcircuit/test_trafo3w.py @@ -1,61 +1,61 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import numpy as np -import pytest - -from pandapower.create import ( - create_bus, create_ext_grid, create_load, create_transformer3w_from_parameters -) -from pandapower.network import pandapowerNet -from pandapower.run import runpp -from pandapower.shortcircuit.calc_sc import calc_sc - - -@pytest.fixture -def trafo3w_net(): - net = pandapowerNet(name="trafo3w_net", sn_mva=5) - b1 = create_bus(net, 220) - b2 = create_bus(net, 30) - b3 = create_bus(net, 10) - create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) - create_load(net, b2, 25, 5) - create_load(net, b3, 25, 10) - create_transformer3w_from_parameters( - net, hv_bus=b1, mv_bus=b2, lv_bus=b3, vn_hv_kv=222, vn_mv_kv=33, vn_lv_kv=11., sn_hv_mva=50, sn_mv_mva=30, - sn_lv_mva=20, vk_hv_percent=11, vkr_hv_percent=1., vk_mv_percent=11, vkr_mv_percent=1., vk_lv_percent=11., - vkr_lv_percent=1., pfe_kw=10, i0_percent=0.2 - ) - return net - - -def test_trafo3w_max(trafo3w_net): - net = trafo3w_net - calc_sc(net, case="max", lv_tol_percent=6., ip=True, ith=True) - assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.26243195543, 1.2151357496, 3.2407820253]) - assert np.allclose(net.res_bus_sc.ip_ka.values, [0.64800210157, 3.0086118915, 8.0313060686]) - assert np.allclose(net.res_bus_sc.ith_ka.values, [0.26687233494, 1.2361480166, 3.2972358704]) - - runpp(net) - calc_sc(net, case="max", lv_tol_percent=6., ip=True, ith=True, use_pre_fault_voltage=True) - assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.3437679, 1.67689443, 4.457388], rtol=0, atol=5e-4) - - -def test_trafo3w_min(trafo3w_net): - net = trafo3w_net - calc_sc(net, case="min", lv_tol_percent=6., ip=True, ith=True) - assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.10497277622, 0.56364359158, 1.5877756314]) - assert np.allclose(net.res_bus_sc.ip_ka.values, [0.25920082653, 1.3937300547, 3.9283892193]) - assert np.allclose(net.res_bus_sc.ith_ka.values, [0.10674892795, 0.57328848095, 1.6150713675]) - #calc_sc(net, case="min", lv_tol_percent=6., ip=True, ith=True) - #assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.1049727799, 0.56507157823, 1.5934473235]) - #assert np.allclose(net.res_bus_sc.ip_ka.values, [0.25920083485, 1.3972274925, 3.9422963436]) - #assert np.allclose(net.res_bus_sc.ith_ka.values, [0.10674893166, 0.57473904595, 1.6208335668]) - - runpp(net) - calc_sc(net, case="min", lv_tol_percent=6., ip=True, ith=True, use_pre_fault_voltage=True) - assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.224954, 1.276104, 3.58033], rtol=0, atol=5e-4) - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import numpy as np +import pytest + +from pandapower.create import ( + create_bus, create_ext_grid, create_load, create_transformer3w_from_parameters +) +from pandapower.network import pandapowerNet +from pandapower.run import runpp +from pandapower.shortcircuit.calc_sc import calc_sc + + +@pytest.fixture +def trafo3w_net(): + net = pandapowerNet(name="trafo3w_net", sn_mva=5) + b1 = create_bus(net, 220) + b2 = create_bus(net, 30) + b3 = create_bus(net, 10) + create_ext_grid(net, b1, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) + create_load(net, b2, 25, 5) + create_load(net, b3, 25, 10) + create_transformer3w_from_parameters( + net, hv_bus=b1, mv_bus=b2, lv_bus=b3, vn_hv_kv=222, vn_mv_kv=33, vn_lv_kv=11., sn_hv_mva=50, sn_mv_mva=30, + sn_lv_mva=20, vk_hv_percent=11, vkr_hv_percent=1., vk_mv_percent=11, vkr_mv_percent=1., vk_lv_percent=11., + vkr_lv_percent=1., pfe_kw=10, i0_percent=0.2 + ) + return net + + +def test_trafo3w_max(trafo3w_net): + net = trafo3w_net + calc_sc(net, case="max", lv_tol_percent=6., ip=True, ith=True) + assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.26243195543, 1.2151357496, 3.2407820253]) + assert np.allclose(net.res_bus_sc.ip_ka.values, [0.64800210157, 3.0086118915, 8.0313060686]) + assert np.allclose(net.res_bus_sc.ith_ka.values, [0.26687233494, 1.2361480166, 3.2972358704]) + + runpp(net) + calc_sc(net, case="max", lv_tol_percent=6., ip=True, ith=True, use_pre_fault_voltage=True) + assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.3437679, 1.67689443, 4.457388], rtol=0, atol=5e-4) + + +def test_trafo3w_min(trafo3w_net): + net = trafo3w_net + calc_sc(net, case="min", lv_tol_percent=6., ip=True, ith=True) + assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.10497277622, 0.56364359158, 1.5877756314]) + assert np.allclose(net.res_bus_sc.ip_ka.values, [0.25920082653, 1.3937300547, 3.9283892193]) + assert np.allclose(net.res_bus_sc.ith_ka.values, [0.10674892795, 0.57328848095, 1.6150713675]) + #calc_sc(net, case="min", lv_tol_percent=6., ip=True, ith=True) + #assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.1049727799, 0.56507157823, 1.5934473235]) + #assert np.allclose(net.res_bus_sc.ip_ka.values, [0.25920083485, 1.3972274925, 3.9422963436]) + #assert np.allclose(net.res_bus_sc.ith_ka.values, [0.10674893166, 0.57473904595, 1.6208335668]) + + runpp(net) + calc_sc(net, case="min", lv_tol_percent=6., ip=True, ith=True, use_pre_fault_voltage=True) + assert np.allclose(net.res_bus_sc.ikss_ka.values, [0.224954, 1.276104, 3.58033], rtol=0, atol=5e-4) + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/shortcircuit/test_transformer.py b/test/shortcircuit/test_transformer.py similarity index 97% rename from pandapower/test/shortcircuit/test_transformer.py rename to test/shortcircuit/test_transformer.py index b219a3aa92..6e725218fb 100644 --- a/pandapower/test/shortcircuit/test_transformer.py +++ b/test/shortcircuit/test_transformer.py @@ -1,111 +1,111 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import pytest - -from pandapower.create import ( - create_bus, create_ext_grid, create_switch, create_shunt, create_transformer_from_parameters -) -from pandapower.network import pandapowerNet -from pandapower.shortcircuit.calc_sc import calc_sc - - -@pytest.fixture -def net_transformer(): - net = pandapowerNet(name="net_transformer", sn_mva=2) - b1a = create_bus(net, vn_kv=10.) - b1b = create_bus(net, vn_kv=10.) - b2 = create_bus(net, vn_kv=.4) - create_bus(net, vn_kv=0.4, in_service=False) # add out of service bus to test oos indexing - create_ext_grid(net, b1a, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) - create_switch(net, b1a, b1b, et="b") - create_transformer_from_parameters(net, b1b, b2, vn_hv_kv=11., vn_lv_kv=0.42, vk_percent=6., - vkr_percent=0.5, pfe_kw=14, shift_degree=0.0, - tap_side="hv", tap_neutral=0, tap_min=-2, tap_max=2, tap_pos=2, - tap_step_percent=2.5, parallel=2, sn_mva=0.4, i0_percent=0.5, - tap_changer_type="Ratio") - # adding a shunt shouldn't change the result: - create_shunt(net, b2, q_mvar=0.050, p_mw=0.0500) - return net - - -def test_max_10_trafo(net_transformer): - net = net_transformer - calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=10.) - assert (abs(net.res_bus_sc.ikss_ka.at[0] - 5.77350301940194) < 1e-5) - assert (abs(net.res_bus_sc.ikss_ka.at[1] - 5.77350301940194) < 1e-5) - assert (abs(net.res_bus_sc.ikss_ka.at[2] - 16.992258758) < 1e-5) - - assert (abs(net.res_bus_sc.ip_ka.at[0] - 14.25605) < 1e-5) - assert (abs(net.res_bus_sc.ip_ka.at[1] - 14.25605) < 1e-5) - assert (abs(net.res_bus_sc.ip_ka.at[2] - 42.739927153) < 1e-5) - - assert (abs(net.res_bus_sc.ith_ka.at[0] - 5.8711913689) < 1e-5) - assert (abs(net.res_bus_sc.ith_ka.at[1] - 5.8711913689) < 1e-5) - assert (abs(net.res_bus_sc.ith_ka.at[2] - 17.328354145) < 1e-5) - - -def test_max_6_trafo(net_transformer): - net = net_transformer - with pytest.warns(UserWarning, match="Calculation does not support calculation of voltages and .*"): - calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=6.) - assert (abs(net.res_bus_sc.ikss_ka.at[0] - 5.77350301940194) < 1e-5) - assert (abs(net.res_bus_sc.ikss_ka.at[1] - 5.77350301940194) < 1e-5) - assert (abs(net.res_bus_sc.ikss_ka.at[2] - 16.905912296) < 1e-5) - - assert (abs(net.res_bus_sc.ip_ka.at[0] - 14.256046241) < 1e-5) - assert (abs(net.res_bus_sc.ip_ka.at[1] - 14.256046241) < 1e-5) - assert (abs(net.res_bus_sc.ip_ka.at[2] - 42.518706441) < 1e-5) - - assert (abs(net.res_bus_sc.ith_ka.at[0] - 5.8711913689) < 1e-5) - assert (abs(net.res_bus_sc.ith_ka.at[1] - 5.8711913689) < 1e-5) - assert (abs(net.res_bus_sc.ith_ka.at[2] - 17.240013111) < 1e-5) - - -def test_min_10_trafo(net_transformer): - net = net_transformer - calc_sc(net, case='min', ip=True, ith=True, lv_tol_percent=10.) - assert (abs(net.res_bus_sc.ikss_ka.at[0] - 2.309401) < 1e-5) - assert (abs(net.res_bus_sc.ikss_ka.at[1] - 2.309401) < 1e-5) - assert (abs(net.res_bus_sc.ikss_ka.at[2] - 12.317352187) < 1e-5) - - assert (abs(net.res_bus_sc.ip_ka.at[0] - 5.702418) < 1e-5) - assert (abs(net.res_bus_sc.ip_ka.at[1] - 5.702418) < 1e-5) - assert (abs(net.res_bus_sc.ip_ka.at[2] - 30.911013102) < 1e-5) - - assert (abs(net.res_bus_sc.ith_ka.at[0] - 2.348476) < 1e-5) - assert (abs(net.res_bus_sc.ith_ka.at[1] - 2.348476) < 1e-5) - assert (abs(net.res_bus_sc.ith_ka.at[2] - 12.556071768) < 1e-5) - - -def test_min_6_trafo(net_transformer): - net = net_transformer - calc_sc(net, case='min', ip=True, ith=True, lv_tol_percent=6.) - assert (abs(net.res_bus_sc.ikss_ka.at[0] - 2.309401) < 1e-5) - assert (abs(net.res_bus_sc.ikss_ka.at[1] - 2.309401) < 1e-5) - assert (abs(net.res_bus_sc.ikss_ka.at[2] - 13.001649531) < 1e-5) - - assert (abs(net.res_bus_sc.ip_ka.at[0] - 5.702418) < 1e-5) - assert (abs(net.res_bus_sc.ip_ka.at[1] - 5.702418) < 1e-5) - assert (abs(net.res_bus_sc.ip_ka.at[2] - 32.628291607) < 1e-5) - - assert (abs(net.res_bus_sc.ith_ka.at[0] - 2.348476) < 1e-5) - assert (abs(net.res_bus_sc.ith_ka.at[1] - 2.348476) < 1e-5) - assert (abs(net.res_bus_sc.ith_ka.at[2] - 13.253631311) < 1e-5) - - -def test_min_10_trafo_2ph(net_transformer): - net = net_transformer - calc_sc(net, fault="2ph", case='min', ip=True, ith=True, lv_tol_percent=10.) - assert (abs(net.res_bus_sc.ikss_ka.at[0] - 2.0000000702) < 1e-5) - assert (abs(net.res_bus_sc.ikss_ka.at[2] - 10.667139901) < 1e-5) - - assert (abs(net.res_bus_sc.ip_ka.at[0] - 4.9384391739) < 1e-5) - assert (abs(net.res_bus_sc.ip_ka.at[2] - 26.769722603) < 1e-5) - - -# assert (abs(net.res_bus_sc.ith_ka.at[0] - 2.0000000702) <1e-5) -# assert (abs(net.res_bus_sc.ith_ka.at[2] - 11.182525915) <1e-5) - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. +import numpy as np +import pytest + +from pandapower.create import ( + create_bus, create_ext_grid, create_switch, create_shunt, create_transformer_from_parameters +) +from pandapower.network import pandapowerNet +from pandapower.shortcircuit.calc_sc import calc_sc + + +@pytest.fixture +def net_transformer(): + net = pandapowerNet(name="net_transformer", sn_mva=2) + b1a = create_bus(net, vn_kv=10.) + b1b = create_bus(net, vn_kv=10.) + b2 = create_bus(net, vn_kv=.4) + create_bus(net, vn_kv=0.4, in_service=False) # add out of service bus to test oos indexing + create_ext_grid(net, b1a, s_sc_max_mva=100., s_sc_min_mva=40., rx_min=0.1, rx_max=0.1) + create_switch(net, b1a, b1b, et="b") + create_transformer_from_parameters(net, b1b, b2, vn_hv_kv=11., vn_lv_kv=0.42, vk_percent=6., + vkr_percent=0.5, pfe_kw=14, shift_degree=0.0, + tap_side="hv", tap_neutral=0, tap_min=-2, tap_max=2, tap_pos=2, + tap_step_percent=2.5, parallel=2, sn_mva=0.4, i0_percent=0.5, + tap_changer_type="Ratio") + # adding a shunt shouldn't change the result: + create_shunt(net, b2, q_mvar=0.050, p_mw=0.0500) + return net + + +def test_max_10_trafo(net_transformer): + net = net_transformer + calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=10.) + assert (abs(net.res_bus_sc.ikss_ka.at[0] - 5.77350301940194) < 1e-5) + assert (abs(net.res_bus_sc.ikss_ka.at[1] - 5.77350301940194) < 1e-5) + assert (abs(net.res_bus_sc.ikss_ka.at[2] - 16.992258758) < 1e-5) + + assert (abs(net.res_bus_sc.ip_ka.at[0] - 14.25605) < 1e-5) + assert (abs(net.res_bus_sc.ip_ka.at[1] - 14.25605) < 1e-5) + assert (abs(net.res_bus_sc.ip_ka.at[2] - 42.739927153) < 1e-5) + + assert (abs(net.res_bus_sc.ith_ka.at[0] - 5.8711913689) < 1e-5) + assert (abs(net.res_bus_sc.ith_ka.at[1] - 5.8711913689) < 1e-5) + assert (abs(net.res_bus_sc.ith_ka.at[2] - 17.328354145) < 1e-5) + + +def test_max_6_trafo(net_transformer): + net = net_transformer + with pytest.warns(UserWarning, match="Calculation does not support calculation of voltages and .*"): + calc_sc(net, case='max', ip=True, ith=True, lv_tol_percent=6.) + assert (abs(net.res_bus_sc.ikss_ka.at[0] - 5.77350301940194) < 1e-5) + assert (abs(net.res_bus_sc.ikss_ka.at[1] - 5.77350301940194) < 1e-5) + assert (abs(net.res_bus_sc.ikss_ka.at[2] - 16.905912296) < 1e-5) + + assert (abs(net.res_bus_sc.ip_ka.at[0] - 14.256046241) < 1e-5) + assert (abs(net.res_bus_sc.ip_ka.at[1] - 14.256046241) < 1e-5) + assert (abs(net.res_bus_sc.ip_ka.at[2] - 42.518706441) < 1e-5) + + assert (abs(net.res_bus_sc.ith_ka.at[0] - 5.8711913689) < 1e-5) + assert (abs(net.res_bus_sc.ith_ka.at[1] - 5.8711913689) < 1e-5) + assert (abs(net.res_bus_sc.ith_ka.at[2] - 17.240013111) < 1e-5) + + +def test_min_10_trafo(net_transformer): + net = net_transformer + calc_sc(net, case='min', ip=True, ith=True, lv_tol_percent=10.) + assert (abs(net.res_bus_sc.ikss_ka.at[0] - 2.309401) < 1e-5) + assert (abs(net.res_bus_sc.ikss_ka.at[1] - 2.309401) < 1e-5) + assert (abs(net.res_bus_sc.ikss_ka.at[2] - 12.317352187) < 1e-5) + + assert (abs(net.res_bus_sc.ip_ka.at[0] - 5.702418) < 1e-5) + assert (abs(net.res_bus_sc.ip_ka.at[1] - 5.702418) < 1e-5) + assert (abs(net.res_bus_sc.ip_ka.at[2] - 30.911013102) < 1e-5) + + assert (abs(net.res_bus_sc.ith_ka.at[0] - 2.348476) < 1e-5) + assert (abs(net.res_bus_sc.ith_ka.at[1] - 2.348476) < 1e-5) + assert (abs(net.res_bus_sc.ith_ka.at[2] - 12.556071768) < 1e-5) + + +def test_min_6_trafo(net_transformer): + net = net_transformer + calc_sc(net, case='min', ip=True, ith=True, lv_tol_percent=6.) + assert (abs(net.res_bus_sc.ikss_ka.at[0] - 2.309401) < 1e-5) + assert (abs(net.res_bus_sc.ikss_ka.at[1] - 2.309401) < 1e-5) + assert (abs(net.res_bus_sc.ikss_ka.at[2] - 13.001649531) < 1e-5) + + assert (abs(net.res_bus_sc.ip_ka.at[0] - 5.702418) < 1e-5) + assert (abs(net.res_bus_sc.ip_ka.at[1] - 5.702418) < 1e-5) + assert (abs(net.res_bus_sc.ip_ka.at[2] - 32.628291607) < 1e-5) + + assert (abs(net.res_bus_sc.ith_ka.at[0] - 2.348476) < 1e-5) + assert (abs(net.res_bus_sc.ith_ka.at[1] - 2.348476) < 1e-5) + assert (abs(net.res_bus_sc.ith_ka.at[2] - 13.253631311) < 1e-5) + + +def test_min_10_trafo_2ph(net_transformer): + net = net_transformer + calc_sc(net, fault="2ph", case='min', ip=True, ith=True, lv_tol_percent=10.) + assert (abs(net.res_bus_sc.ikss_ka.at[0] - 2.0000000702) < 1e-5) + assert (abs(net.res_bus_sc.ikss_ka.at[2] - 10.667139901) < 1e-5) + + assert (abs(net.res_bus_sc.ip_ka.at[0] - 4.9384391739) < 1e-5) + assert (abs(net.res_bus_sc.ip_ka.at[2] - 26.769722603) < 1e-5) + + +# assert (abs(net.res_bus_sc.ith_ka.at[0] - 2.0000000702) <1e-5) +# assert (abs(net.res_bus_sc.ith_ka.at[2] - 11.182525915) <1e-5) + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/test_files/European_LV_CSV/Buscoords.csv b/test/test_files/European_LV_CSV/Buscoords.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Buscoords.csv rename to test/test_files/European_LV_CSV/Buscoords.csv diff --git a/pandapower/test/test_files/European_LV_CSV/LineCodes.csv b/test/test_files/European_LV_CSV/LineCodes.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/LineCodes.csv rename to test/test_files/European_LV_CSV/LineCodes.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Lines.csv b/test/test_files/European_LV_CSV/Lines.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Lines.csv rename to test/test_files/European_LV_CSV/Lines.csv diff --git a/pandapower/test/test_files/European_LV_CSV/LoadShapes.csv b/test/test_files/European_LV_CSV/LoadShapes.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/LoadShapes.csv rename to test/test_files/European_LV_CSV/LoadShapes.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_1.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_1.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_1.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_1.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_10.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_10.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_10.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_10.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_100.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_100.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_100.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_100.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_11.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_11.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_11.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_11.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_12.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_12.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_12.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_12.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_13.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_13.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_13.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_13.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_14.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_14.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_14.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_14.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_15.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_15.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_15.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_15.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_16.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_16.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_16.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_16.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_17.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_17.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_17.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_17.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_18.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_18.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_18.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_18.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_19.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_19.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_19.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_19.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_2.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_2.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_2.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_2.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_20.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_20.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_20.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_20.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_21.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_21.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_21.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_21.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_22.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_22.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_22.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_22.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_23.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_23.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_23.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_23.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_24.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_24.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_24.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_24.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_25.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_25.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_25.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_25.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_26.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_26.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_26.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_26.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_27.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_27.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_27.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_27.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_28.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_28.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_28.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_28.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_29.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_29.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_29.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_29.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_3.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_3.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_3.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_3.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_30.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_30.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_30.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_30.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_31.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_31.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_31.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_31.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_32.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_32.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_32.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_32.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_33.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_33.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_33.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_33.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_34.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_34.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_34.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_34.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_35.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_35.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_35.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_35.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_36.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_36.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_36.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_36.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_37.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_37.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_37.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_37.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_38.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_38.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_38.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_38.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_39.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_39.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_39.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_39.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_4.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_4.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_4.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_4.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_40.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_40.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_40.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_40.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_41.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_41.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_41.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_41.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_42.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_42.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_42.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_42.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_43.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_43.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_43.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_43.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_44.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_44.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_44.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_44.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_45.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_45.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_45.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_45.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_46.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_46.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_46.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_46.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_47.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_47.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_47.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_47.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_48.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_48.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_48.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_48.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_49.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_49.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_49.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_49.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_5.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_5.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_5.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_5.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_50.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_50.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_50.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_50.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_51.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_51.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_51.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_51.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_52.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_52.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_52.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_52.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_53.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_53.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_53.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_53.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_54.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_54.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_54.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_54.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_55.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_55.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_55.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_55.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_56.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_56.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_56.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_56.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_57.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_57.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_57.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_57.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_58.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_58.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_58.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_58.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_59.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_59.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_59.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_59.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_6.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_6.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_6.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_6.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_60.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_60.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_60.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_60.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_61.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_61.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_61.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_61.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_62.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_62.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_62.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_62.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_63.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_63.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_63.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_63.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_64.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_64.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_64.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_64.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_65.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_65.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_65.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_65.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_66.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_66.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_66.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_66.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_67.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_67.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_67.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_67.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_68.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_68.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_68.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_68.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_69.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_69.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_69.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_69.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_7.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_7.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_7.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_7.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_70.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_70.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_70.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_70.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_71.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_71.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_71.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_71.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_72.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_72.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_72.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_72.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_73.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_73.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_73.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_73.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_74.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_74.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_74.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_74.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_75.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_75.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_75.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_75.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_76.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_76.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_76.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_76.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_77.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_77.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_77.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_77.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_78.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_78.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_78.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_78.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_79.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_79.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_79.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_79.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_8.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_8.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_8.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_8.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_80.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_80.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_80.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_80.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_81.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_81.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_81.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_81.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_82.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_82.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_82.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_82.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_83.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_83.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_83.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_83.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_84.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_84.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_84.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_84.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_85.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_85.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_85.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_85.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_86.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_86.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_86.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_86.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_87.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_87.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_87.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_87.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_88.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_88.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_88.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_88.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_89.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_89.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_89.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_89.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_9.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_9.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_9.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_9.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_90.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_90.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_90.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_90.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_91.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_91.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_91.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_91.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_92.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_92.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_92.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_92.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_93.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_93.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_93.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_93.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_94.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_94.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_94.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_94.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_95.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_95.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_95.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_95.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_96.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_96.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_96.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_96.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_97.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_97.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_97.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_97.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_98.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_98.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_98.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_98.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_99.csv b/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_99.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Load_Profiles/Load_profile_99.csv rename to test/test_files/European_LV_CSV/Load_Profiles/Load_profile_99.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Loads.csv b/test/test_files/European_LV_CSV/Loads.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Loads.csv rename to test/test_files/European_LV_CSV/Loads.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Source.csv b/test/test_files/European_LV_CSV/Source.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Source.csv rename to test/test_files/European_LV_CSV/Source.csv diff --git a/pandapower/test/test_files/European_LV_CSV/Transformer.csv b/test/test_files/European_LV_CSV/Transformer.csv similarity index 100% rename from pandapower/test/test_files/European_LV_CSV/Transformer.csv rename to test/test_files/European_LV_CSV/Transformer.csv diff --git a/pandapower/test/test_files/IEC60909-4_example.json b/test/test_files/IEC60909-4_example.json similarity index 97% rename from pandapower/test/test_files/IEC60909-4_example.json rename to test/test_files/IEC60909-4_example.json index cac9bc8e05..a08b7d8a52 100644 --- a/pandapower/test/test_files/IEC60909-4_example.json +++ b/test/test_files/IEC60909-4_example.json @@ -1,1730 +1,1730 @@ -{ - "_module": "pandapower.auxiliary", - "_class": "pandapowerNet", - "_object": { - "bus": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"chr_name\",\"description\",\"folder_id\",\"for_name\",\"in_service\",\"name\",\"sernum\",\"substat\",\"type\",\"vn_kv\",\"zone\"],\"index\":[0,1,2,3,4,5],\"data\":[[\"\",\"Example 1\",\"Example 1\",\"\",true,\"Q\",\"\",\"\",\"b\",20.0,\"Example 1\"],[\"\",\"Example 1\",\"Example 1\",\"\",true,\"Cable\\/Line IC\",\"\",\"\",\"b\",0.400000006,\"Example 1\"],[\"\",\"Example 1\",\"Example 1\",\"\",true,\"F3\",\"\",\"\",\"b\",0.400000006,\"Example 1\"],[\"\",\"Example 1\",\"Example 1\",\"\",true,\"F1\",\"\",\"\",\"b\",0.400000006,\"Example 1\"],[\"\",\"Example 1\",\"Example 1\",\"\",true,\"T2LV\",\"\",\"\",\"b\",0.400000006,\"Example 1\"],[\"\",\"Example 1\",\"Example 1\",\"\",true,\"F2\",\"\",\"\",\"b\",0.400000006,\"Example 1\"]]}", - "dtype": { - "chr_name": "object", - "description": "object", - "folder_id": "object", - "for_name": "object", - "in_service": "bool", - "name": "object", - "sernum": "object", - "substat": "object", - "type": "object", - "vn_kv": "float64", - "zone": "object" - }, - "orient": "split" - }, - "load": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"q_mvar\",\"const_z_percent\",\"const_i_percent\",\"sn_mva\",\"scaling\",\"in_service\",\"type\"],\"index\":[],\"data\":[]}", - "dtype": { - "name": "object", - "bus": "uint32", - "p_mw": "float64", - "q_mvar": "float64", - "const_z_percent": "float64", - "const_i_percent": "float64", - "sn_mva": "float64", - "scaling": "float64", - "in_service": "bool", - "type": "object" - }, - "orient": "split" - }, - "sgen": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"q_mvar\",\"sn_mva\",\"scaling\",\"in_service\",\"type\",\"current_source\"],\"index\":[],\"data\":[]}", - "dtype": { - "name": "object", - "bus": "int64", - "p_mw": "float64", - "q_mvar": "float64", - "sn_mva": "float64", - "scaling": "float64", - "in_service": "bool", - "type": "object", - "current_source": "bool" - }, - "orient": "split" - }, - "storage": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"bus\",\"in_service\",\"max_e_mwh\",\"min_e_mwh\",\"name\",\"p_mw\",\"q_mvar\",\"scaling\",\"sn_mva\",\"soc\",\"type\"],\"index\":[],\"data\":[]}", - "dtype": { - "bus": "int64", - "in_service": "bool", - "max_e_mwh": "float64", - "min_e_mwh": "float64", - "name": "object", - "p_mw": "float64", - "q_mvar": "float64", - "scaling": "float64", - "sn_mva": "float64", - "soc": "float64", - "type": "object" - }, - "orient": "split" - }, - "gen": { - "_module": "pandas.core.frame", - "_class": "DataFrame", - "_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"vm_pu\",\"sn_mva\",\"min_q_mvar\",\"max_q_mvar\",\"scaling\",\"slack\",\"in_service\",\"type\"],\"index\":[],\"data\":[]}", - "dtype": { - "name": "object", - "bus": "uint32", - "p_mw": "float64", - "vm_pu": "float64", - "sn_mva": "float64", - "min_q_mvar": "float64", - 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"r_ohm_per_km": 0.2709999979, - "type": "cs", - "x0_ohm_per_km": 0.3880200088, - "x_ohm_per_km": 0.0869999975 - }, - "70-AL1/11-ST1A 10.0": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 10.4, - "endtemp_degree": NaN, - "max_i_ka": 0.29, - "q_mm2": 70.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.4132, - "type": "ol", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.339 - }, - "70-AL1/11-ST1A 20.0": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 9.7, - "endtemp_degree": NaN, - "max_i_ka": 0.29, - "q_mm2": 70.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.4132, - "type": "ol", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.36 - }, - "94-AL1/15-ST1A 0.4": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 13.2, - "endtemp_degree": NaN, - "max_i_ka": 0.35, - "q_mm2": 94.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.306, - "type": "ol", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.29 - }, - "94-AL1/15-ST1A 10.0": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 10.75, - "endtemp_degree": NaN, - "max_i_ka": 0.35, - "q_mm2": 94.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.306, - "type": "ol", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.33 - }, - "94-AL1/15-ST1A 20.0": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 10.0, - "endtemp_degree": NaN, - "max_i_ka": 0.35, - "q_mm2": 94.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.306, - "type": "ol", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.35 - }, - "N2XS(FL)2Y 1x120 RM/35 64/110 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 112.0, - "endtemp_degree": NaN, - "max_i_ka": 0.366, - "q_mm2": 120.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.153, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.166 - }, - "N2XS(FL)2Y 1x185 RM/35 64/110 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 125.0, - "endtemp_degree": NaN, - "max_i_ka": 0.457, - "q_mm2": 185.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.099, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.156 - }, - "N2XS(FL)2Y 1x240 RM/35 64/110 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 135.0, - "endtemp_degree": NaN, - "max_i_ka": 0.526, - "q_mm2": 240.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.075, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.149 - }, - "N2XS(FL)2Y 1x300 RM/35 64/110 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 144.0, - "endtemp_degree": NaN, - "max_i_ka": 0.588, - "q_mm2": 300.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.06, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.144 - }, - "NA2XS2Y 1x120 RM/25 12/20 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 230.0, - "endtemp_degree": NaN, - "max_i_ka": 0.283, - "q_mm2": 120.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.253, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.119 - }, - "NA2XS2Y 1x120 RM/25 6/10 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 340.0, - "endtemp_degree": NaN, - "max_i_ka": 0.28, - "q_mm2": 120.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.253, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.113 - }, - "NA2XS2Y 1x150 RM/25 12/20 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 250.0, - "endtemp_degree": NaN, - "max_i_ka": 0.319, - "q_mm2": 150.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.206, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.116 - }, - "NA2XS2Y 1x150 RM/25 6/10 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 360.0, - "endtemp_degree": NaN, - "max_i_ka": 0.315, - "q_mm2": 150.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.206, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.11 - }, - "NA2XS2Y 1x185 RM/25 12/20 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 273.0, - "endtemp_degree": NaN, - "max_i_ka": 0.362, - "q_mm2": 185.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.161, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.117 - }, - "NA2XS2Y 1x185 RM/25 6/10 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 406.0, - "endtemp_degree": NaN, - "max_i_ka": 0.358, - "q_mm2": 185.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.161, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.11 - }, - "NA2XS2Y 1x240 RM/25 12/20 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 304.0, - "endtemp_degree": NaN, - "max_i_ka": 0.421, - "q_mm2": 240.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.122, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.112 - }, - "NA2XS2Y 1x240 RM/25 6/10 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 456.0, - "endtemp_degree": NaN, - "max_i_ka": 0.416, - "q_mm2": 240.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.122, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.105 - }, - "NA2XS2Y 1x70 RM/25 12/20 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 190.0, - "endtemp_degree": NaN, - "max_i_ka": 0.22, - "q_mm2": 70.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.443, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.132 - }, - "NA2XS2Y 1x70 RM/25 6/10 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 280.0, - "endtemp_degree": NaN, - "max_i_ka": 0.217, - "q_mm2": 70.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.443, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.123 - }, - "NA2XS2Y 1x95 RM/25 12/20 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 216.0, - "endtemp_degree": NaN, - "max_i_ka": 0.252, - "q_mm2": 95.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.313, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.132 - }, - "NA2XS2Y 1x95 RM/25 6/10 kV": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 315.0, - "endtemp_degree": NaN, - "max_i_ka": 0.249, - "q_mm2": 95.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.313, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.123 - }, - "NAYY 4x120 SE": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 264.0, - "endtemp_degree": NaN, - "max_i_ka": 0.242, - "q_mm2": 120.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.225, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.08 - }, - "NAYY 4x150 SE": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 261.0, - "endtemp_degree": NaN, - "max_i_ka": 0.27, - "q_mm2": 150.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.208, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.08 - }, - "NAYY 4x50 SE": { - "c0_nf_per_km": NaN, - "c_nf_per_km": 210.0, - "endtemp_degree": NaN, - "max_i_ka": 0.142, - "q_mm2": 50.0, - "r0_ohm_per_km": NaN, - "r_ohm_per_km": 0.642, - "type": "cs", - "x0_ohm_per_km": NaN, - "x_ohm_per_km": 0.083 - }, - "OVHL 50 Cu": { - "c0_nf_per_km": 0.0, - "c_nf_per_km": 0.0, - "endtemp_degree": 80.0, - "max_i_ka": 1.0, - "q_mm2": 0.0, - "r0_ohm_per_km": 0.7408000231, - "r_ohm_per_km": 0.3704000115, - "type": "ol", - "x0_ohm_per_km": 0.8909999728, - "x_ohm_per_km": 0.2969999909 - } - }, - "trafo": { - "0.25 MVA 10/0.4 kV": { - "i0_percent": 0.24, - "mag0_percent": NaN, - "mag0_rx": NaN, - "shift_degree": 150.0, - "si0_hv_partial": NaN, - "tap_max": 2.0, - "tap_neutral": 0.0, - "tap_min": -2.0, - "tap_changer_type": "Ratio", - "tap_side": "hv", - "tap_step_degree": 0.0, - "tap_step_percent": 2.5, - "vector_group": "Dyn5", - "vn_hv_kv": 10.0, - "vn_lv_kv": 0.4, - "vk0_percent": NaN, - "vk_percent": 4.0, - "vkr0_percent": NaN, - "vkr_percent": 1.2, - "sn_mva": 0.25, - "pfe_kw": 0.6 - }, - "0.25 MVA 20/0.4 kV": { - "i0_percent": 0.32, - "mag0_percent": NaN, - "mag0_rx": NaN, - "shift_degree": 150.0, - "si0_hv_partial": NaN, - "tap_max": 2.0, - "tap_neutral": 0.0, - "tap_min": -2.0, - "tap_changer_type": "Ratio", - "tap_side": "hv", - "tap_step_degree": 0.0, - "tap_step_percent": 2.5, - "vector_group": "Yzn5", - "vn_hv_kv": 20.0, - "vn_lv_kv": 0.4, - "vk0_percent": NaN, - "vk_percent": 6.0, - "vkr0_percent": NaN, - "vkr_percent": 1.44, - "sn_mva": 0.25, - "pfe_kw": 0.8 - }, - "0.4 MVA 10/0.4 kV": { - "i0_percent": 0.2375, - "mag0_percent": NaN, - "mag0_rx": NaN, - "shift_degree": 150.0, - "si0_hv_partial": NaN, - "tap_max": 2.0, - "tap_neutral": 0.0, - "tap_min": -2.0, - "tap_changer_type": "Ratio", - "tap_side": "hv", - "tap_step_degree": 0.0, - "tap_step_percent": 2.5, - "vector_group": "Dyn5", - "vn_hv_kv": 10.0, - "vn_lv_kv": 0.4, - "vk0_percent": NaN, - "vk_percent": 4.0, - "vkr0_percent": NaN, - "vkr_percent": 1.325, - "sn_mva": 0.4, - "pfe_kw": 0.95 - }, - "0.4 MVA 20/0.4 kV": { - "i0_percent": 0.3375, - "mag0_percent": NaN, - "mag0_rx": NaN, - "shift_degree": 150.0, - "si0_hv_partial": NaN, - "tap_max": 2.0, - "tap_neutral": 0.0, - "tap_min": -2.0, - "tap_changer_type": "Ratio", - "tap_side": "hv", - "tap_step_degree": 0.0, - "tap_step_percent": 2.5, - "vector_group": "Dyn5", - "vn_hv_kv": 20.0, - "vn_lv_kv": 0.4, - "vk0_percent": NaN, - "vk_percent": 6.0, - "vkr0_percent": NaN, - "vkr_percent": 1.425, - "sn_mva": 0.4, - "pfe_kw": 1.35 - }, - "0.63 MVA 10/0.4 kV": { - "i0_percent": 0.1873, - "mag0_percent": NaN, - "mag0_rx": NaN, - "shift_degree": 150.0, - "si0_hv_partial": NaN, - "tap_max": 2.0, - "tap_neutral": 0.0, - "tap_min": -2.0, - "tap_changer_type": "Ratio", - "tap_side": "hv", - "tap_step_degree": 0.0, - "tap_step_percent": 2.5, - "vector_group": "Dyn5", - "vn_hv_kv": 10.0, - "vn_lv_kv": 0.4, - "vk0_percent": NaN, - "vk_percent": 4.0, - "vkr0_percent": NaN, - "vkr_percent": 1.0794, - "sn_mva": 0.63, - "pfe_kw": 1.1800000000000002 - }, - "0.63 MVA 20/0.4 kV": { - "i0_percent": 0.2619, - "mag0_percent": NaN, - "mag0_rx": NaN, - "shift_degree": 150.0, - "si0_hv_partial": NaN, - "tap_max": 2.0, - "tap_neutral": 0.0, - "tap_min": -2.0, - "tap_changer_type": "Ratio", - "tap_side": "hv", - "tap_step_degree": 0.0, - "tap_step_percent": 2.5, - "vector_group": "Dyn5", - "vn_hv_kv": 20.0, - "vn_lv_kv": 0.4, - "vk0_percent": NaN, - "vk_percent": 6.0, - "vkr0_percent": NaN, - "vkr_percent": 1.206, - "sn_mva": 0.63, - "pfe_kw": 1.65 - }, - "100 MVA 220/110 kV": { - "i0_percent": 0.06, - "mag0_percent": NaN, - "mag0_rx": NaN, - "shift_degree": 0.0, - "si0_hv_partial": NaN, - "tap_max": 9.0, - "tap_neutral": 0.0, - "tap_min": -9.0, - "tap_changer_type": "Ratio", - "tap_side": "hv", - "tap_step_degree": 0.0, - "tap_step_percent": 1.5, - "vector_group": "Yy0", - "vn_hv_kv": 220.0, - "vn_lv_kv": 110.0, - "vk0_percent": NaN, - "vk_percent": 12.0, - "vkr0_percent": NaN, - "vkr_percent": 0.26, - "sn_mva": 100.0, - "pfe_kw": 55.0 - }, - "160 MVA 380/110 kV": { - "i0_percent": 0.06, - "mag0_percent": NaN, - "mag0_rx": NaN, - "shift_degree": 0.0, - "si0_hv_partial": NaN, - "tap_max": 9.0, - "tap_neutral": 0.0, - "tap_min": -9.0, - "tap_changer_type": "Ratio", - "tap_side": "hv", - "tap_step_degree": 0.0, - "tap_step_percent": 1.5, - "vector_group": "Yy0", - "vn_hv_kv": 380.0, - "vn_lv_kv": 110.0, - "vk0_percent": NaN, - "vk_percent": 12.2, - "vkr0_percent": NaN, - "vkr_percent": 0.25, - "sn_mva": 160.0, - "pfe_kw": 60.0 - }, - "20/0.4 kV 400 kVA": { - "i0_percent": 0.0, - "mag0_percent": 10000.0, - "mag0_rx": 0.0, - "shift_degree": 150.0, - "si0_hv_partial": 0.8999999762, - "tap_max": NaN, - "tap_neutral": NaN, - "tap_min": NaN, - "tap_changer_type": NaN, - "tap_side": null, - "tap_step_degree": NaN, - "tap_step_percent": NaN, - 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+ "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.372 + }, + "490-AL1/64-ST1A 220.0": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 10.0, + "endtemp_degree": NaN, + "max_i_ka": 0.96, + "q_mm2": 490.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.059, + "type": "ol", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.285 + }, + "490-AL1/64-ST1A 380.0": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 11.0, + "endtemp_degree": NaN, + "max_i_ka": 0.96, + "q_mm2": 490.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.059, + "type": "ol", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.253 + }, + "4x240 Cu": { + "c0_nf_per_km": 0.0, + "c_nf_per_km": 0.0, + "endtemp_degree": 80.0, + "max_i_ka": 1.0, + "q_mm2": 0.0, + "r0_ohm_per_km": 0.2849000096, + "r_ohm_per_km": 0.0769999996, + "type": "cs", + "x0_ohm_per_km": 0.1429899931, + "x_ohm_per_km": 0.0790000036 + }, + "4x70 Cu": { + "c0_nf_per_km": 0.0, + "c_nf_per_km": 0.0, + "endtemp_degree": 80.0, + "max_i_ka": 1.0, + "q_mm2": 0.0, + "r0_ohm_per_km": 0.8130000234, + "r_ohm_per_km": 0.2709999979, + "type": "cs", + "x0_ohm_per_km": 0.3880200088, + "x_ohm_per_km": 0.0869999975 + }, + "70-AL1/11-ST1A 10.0": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 10.4, + "endtemp_degree": NaN, + "max_i_ka": 0.29, + "q_mm2": 70.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.4132, + "type": "ol", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.339 + }, + "70-AL1/11-ST1A 20.0": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 9.7, + "endtemp_degree": NaN, + "max_i_ka": 0.29, + "q_mm2": 70.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.4132, + "type": "ol", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.36 + }, + "94-AL1/15-ST1A 0.4": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 13.2, + "endtemp_degree": NaN, + "max_i_ka": 0.35, + "q_mm2": 94.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.306, + "type": "ol", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.29 + }, + "94-AL1/15-ST1A 10.0": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 10.75, + "endtemp_degree": NaN, + "max_i_ka": 0.35, + "q_mm2": 94.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.306, + "type": "ol", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.33 + }, + "94-AL1/15-ST1A 20.0": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 10.0, + "endtemp_degree": NaN, + "max_i_ka": 0.35, + "q_mm2": 94.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.306, + "type": "ol", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.35 + }, + "N2XS(FL)2Y 1x120 RM/35 64/110 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 112.0, + "endtemp_degree": NaN, + "max_i_ka": 0.366, + "q_mm2": 120.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.153, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.166 + }, + "N2XS(FL)2Y 1x185 RM/35 64/110 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 125.0, + "endtemp_degree": NaN, + "max_i_ka": 0.457, + "q_mm2": 185.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.099, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.156 + }, + "N2XS(FL)2Y 1x240 RM/35 64/110 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 135.0, + "endtemp_degree": NaN, + "max_i_ka": 0.526, + "q_mm2": 240.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.075, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.149 + }, + "N2XS(FL)2Y 1x300 RM/35 64/110 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 144.0, + "endtemp_degree": NaN, + "max_i_ka": 0.588, + "q_mm2": 300.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.06, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.144 + }, + "NA2XS2Y 1x120 RM/25 12/20 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 230.0, + "endtemp_degree": NaN, + "max_i_ka": 0.283, + "q_mm2": 120.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.253, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.119 + }, + "NA2XS2Y 1x120 RM/25 6/10 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 340.0, + "endtemp_degree": NaN, + "max_i_ka": 0.28, + "q_mm2": 120.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.253, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.113 + }, + "NA2XS2Y 1x150 RM/25 12/20 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 250.0, + "endtemp_degree": NaN, + "max_i_ka": 0.319, + "q_mm2": 150.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.206, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.116 + }, + "NA2XS2Y 1x150 RM/25 6/10 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 360.0, + "endtemp_degree": NaN, + "max_i_ka": 0.315, + "q_mm2": 150.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.206, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.11 + }, + "NA2XS2Y 1x185 RM/25 12/20 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 273.0, + "endtemp_degree": NaN, + "max_i_ka": 0.362, + "q_mm2": 185.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.161, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.117 + }, + "NA2XS2Y 1x185 RM/25 6/10 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 406.0, + "endtemp_degree": NaN, + "max_i_ka": 0.358, + "q_mm2": 185.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.161, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.11 + }, + "NA2XS2Y 1x240 RM/25 12/20 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 304.0, + "endtemp_degree": NaN, + "max_i_ka": 0.421, + "q_mm2": 240.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.122, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.112 + }, + "NA2XS2Y 1x240 RM/25 6/10 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 456.0, + "endtemp_degree": NaN, + "max_i_ka": 0.416, + "q_mm2": 240.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.122, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.105 + }, + "NA2XS2Y 1x70 RM/25 12/20 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 190.0, + "endtemp_degree": NaN, + "max_i_ka": 0.22, + "q_mm2": 70.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.443, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.132 + }, + "NA2XS2Y 1x70 RM/25 6/10 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 280.0, + "endtemp_degree": NaN, + "max_i_ka": 0.217, + "q_mm2": 70.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.443, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.123 + }, + "NA2XS2Y 1x95 RM/25 12/20 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 216.0, + "endtemp_degree": NaN, + "max_i_ka": 0.252, + "q_mm2": 95.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.313, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.132 + }, + "NA2XS2Y 1x95 RM/25 6/10 kV": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 315.0, + "endtemp_degree": NaN, + "max_i_ka": 0.249, + "q_mm2": 95.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.313, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.123 + }, + "NAYY 4x120 SE": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 264.0, + "endtemp_degree": NaN, + "max_i_ka": 0.242, + "q_mm2": 120.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.225, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.08 + }, + "NAYY 4x150 SE": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 261.0, + "endtemp_degree": NaN, + "max_i_ka": 0.27, + "q_mm2": 150.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.208, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.08 + }, + "NAYY 4x50 SE": { + "c0_nf_per_km": NaN, + "c_nf_per_km": 210.0, + "endtemp_degree": NaN, + "max_i_ka": 0.142, + "q_mm2": 50.0, + "r0_ohm_per_km": NaN, + "r_ohm_per_km": 0.642, + "type": "cs", + "x0_ohm_per_km": NaN, + "x_ohm_per_km": 0.083 + }, + "OVHL 50 Cu": { + "c0_nf_per_km": 0.0, + "c_nf_per_km": 0.0, + "endtemp_degree": 80.0, + "max_i_ka": 1.0, + "q_mm2": 0.0, + "r0_ohm_per_km": 0.7408000231, + "r_ohm_per_km": 0.3704000115, + "type": "ol", + "x0_ohm_per_km": 0.8909999728, + "x_ohm_per_km": 0.2969999909 + } + }, + "trafo": { + "0.25 MVA 10/0.4 kV": { + "i0_percent": 0.24, + "mag0_percent": NaN, + "mag0_rx": NaN, + "shift_degree": 150.0, + "si0_hv_partial": NaN, + "tap_max": 2.0, + "tap_neutral": 0.0, + "tap_min": -2.0, + "tap_changer_type": "Ratio", + "tap_side": "hv", + "tap_step_degree": 0.0, + "tap_step_percent": 2.5, + "vector_group": 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"vn_hv_kv": 10.0, + "vn_lv_kv": 0.4, + "vk0_percent": NaN, + "vk_percent": 4.0, + "vkr0_percent": NaN, + "vkr_percent": 1.325, + "sn_mva": 0.4, + "pfe_kw": 0.95 + }, + "0.4 MVA 20/0.4 kV": { + "i0_percent": 0.3375, + "mag0_percent": NaN, + "mag0_rx": NaN, + "shift_degree": 150.0, + "si0_hv_partial": NaN, + "tap_max": 2.0, + "tap_neutral": 0.0, + "tap_min": -2.0, + "tap_changer_type": "Ratio", + "tap_side": "hv", + "tap_step_degree": 0.0, + "tap_step_percent": 2.5, + "vector_group": "Dyn5", + "vn_hv_kv": 20.0, + "vn_lv_kv": 0.4, + "vk0_percent": NaN, + "vk_percent": 6.0, + "vkr0_percent": NaN, + "vkr_percent": 1.425, + "sn_mva": 0.4, + "pfe_kw": 1.35 + }, + "0.63 MVA 10/0.4 kV": { + "i0_percent": 0.1873, + "mag0_percent": NaN, + "mag0_rx": NaN, + "shift_degree": 150.0, + "si0_hv_partial": NaN, + "tap_max": 2.0, + "tap_neutral": 0.0, + "tap_min": -2.0, + "tap_changer_type": "Ratio", + "tap_side": "hv", + "tap_step_degree": 0.0, + "tap_step_percent": 2.5, + "vector_group": "Dyn5", + "vn_hv_kv": 10.0, + "vn_lv_kv": 0.4, + "vk0_percent": NaN, + "vk_percent": 4.0, + "vkr0_percent": NaN, + "vkr_percent": 1.0794, + "sn_mva": 0.63, + "pfe_kw": 1.1800000000000002 + }, + "0.63 MVA 20/0.4 kV": { + "i0_percent": 0.2619, + "mag0_percent": NaN, + "mag0_rx": NaN, + "shift_degree": 150.0, + "si0_hv_partial": NaN, + "tap_max": 2.0, + "tap_neutral": 0.0, + "tap_min": -2.0, + "tap_changer_type": "Ratio", + "tap_side": "hv", + "tap_step_degree": 0.0, + "tap_step_percent": 2.5, + "vector_group": "Dyn5", + "vn_hv_kv": 20.0, + "vn_lv_kv": 0.4, + "vk0_percent": NaN, + "vk_percent": 6.0, + "vkr0_percent": NaN, + "vkr_percent": 1.206, + "sn_mva": 0.63, + "pfe_kw": 1.65 + }, + "100 MVA 220/110 kV": { + "i0_percent": 0.06, + "mag0_percent": NaN, + "mag0_rx": NaN, + "shift_degree": 0.0, + "si0_hv_partial": NaN, + "tap_max": 9.0, + "tap_neutral": 0.0, + "tap_min": -9.0, + "tap_changer_type": "Ratio", + "tap_side": "hv", + "tap_step_degree": 0.0, + "tap_step_percent": 1.5, + "vector_group": 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"vsc_mv_percent": 10.4, + "sn_mv_kva": 25000, + "vscr_hv_percent": 0.28, + "shift_mv_degree": 0 + } + } +},"storage":{ + "dtype": { + "sn_kva": "float64", + "min_e_kwh": "float64", + "type": "object", + "soc_percent": "float64", + "in_service": "bool", + "q_kvar": "float64", + "max_e_kwh": "float64", + "name": "object", + "p_kw": "float64", + "scaling": "float64", + "bus": "int64" + }, + "orient": "split", + "_class": "DataFrame", + "_module": "pandas.core.frame", + "_object": "{\"columns\":[\"name\",\"bus\",\"p_kw\",\"q_kvar\",\"sn_kva\",\"soc_percent\",\"min_e_kwh\",\"max_e_kwh\",\"scaling\",\"in_service\",\"type\"],\"index\":[],\"data\":[]}" +},"switch":{ + "dtype": { + "type": "object", + "et": "object", + "element": "int64", + "name": "object", + "closed": "bool", + "bus": "int64" + }, + "orient": "split", + "_class": "DataFrame", + "_module": "pandas.core.frame", + "_object": 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Bus LV2.1 - LV Line2.2\"],[52,20,\"l\",\"LBS\",true,\"Switch Bus LV2.2 - LV Line2.2\"],[52,21,\"l\",\"LBS\",true,\"Switch Bus LV2.2 - LV Line2.3\"],[53,21,\"l\",\"LBS\",true,\"Switch Bus LV2.3 - LV Line2.3\"],[53,22,\"l\",\"LBS\",true,\"Switch Bus LV2.3 - LV Line2.4\"],[54,22,\"l\",\"LBS\",true,\"Switch Bus LV2.4 - LV Line2.4\"],[52,23,\"l\",\"LBS\",true,\"Switch Bus LV2.2 - LV Line2.2.1\"],[55,23,\"l\",\"LBS\",true,\"Switch Bus LV2.2.1 - LV Line2.2.1\"],[55,24,\"l\",\"LBS\",true,\"Switch Bus LV2.2.1 - LV Line2.2.2\"],[56,24,\"l\",\"LBS\",true,\"Switch Bus LV2.2.2 - LV Line2.2.2\"],[13,0,\"t\",\"LBS\",true,\"Switch DB2 - EHV-HV-Trafo\"],[17,0,\"t\",\"LBS\",true,\"Switch SB1 - EHV-HV-Trafo\"],[41,1,\"t\",\"LBS\",true,\"Switch MV4 - MV-LV-Trafo\"],[45,1,\"t\",\"LBS\",true,\"Switch LV0 - MV-LV-Trafo\"]]}" +},"trafo":{ + "dtype": { + "tp_st_percent": "float64", + "parallel": "uint32", + "in_service": "bool", + "hv_bus": "uint32", + "pfe_kw": "float64", + "tp_max": "float64", + "std_type": "object", + "i0_percent": "float64", + "name": "object", + "vn_lv_kv": "float64", + "sn_kva": "float64", + "tp_side": "object", + "tp_st_degree": "float64", + "tp_min": "float64", + "shift_degree": "float64", + "tp_pos": "int32", + "vsc_percent": "float64", + "tp_phase_shifter": "bool", + "tp_mid": "float64", + "vscr_percent": "float64", + "vn_hv_kv": "float64", + "df": "float64", + "lv_bus": "uint32" + }, + "orient": "split", + "_class": "DataFrame", + "_module": "pandas.core.frame", + "_object": "{\"columns\":[\"name\",\"std_type\",\"hv_bus\",\"lv_bus\",\"sn_kva\",\"vn_hv_kv\",\"vn_lv_kv\",\"vsc_percent\",\"vscr_percent\",\"pfe_kw\",\"i0_percent\",\"shift_degree\",\"tp_side\",\"tp_mid\",\"tp_min\",\"tp_max\",\"tp_st_percent\",\"tp_st_degree\",\"tp_pos\",\"tp_phase_shifter\",\"parallel\",\"df\",\"in_service\"],\"index\":[0,1],\"data\":[[\"EHV-HV-Trafo\",null,13,17,300000.0,380.0,110.0,8.0,0.06,0.0,0.0,0.0,null,null,null,null,null,null,0,false,1,1.0,true],[\"MV-LV-Trafo\",null,41,45,400.0,10.0,0.4,4.0,1.325,0.95,0.2375,150.0,\"hv\",0.0,-2.0,2.0,2.5,null,0,false,1,1.0,true]]}" +},"trafo3w":{ + "dtype": { + "tp_st_percent": "float64", + "vscr_lv_percent": "float64", + "vn_hv_kv": "float64", + "shift_lv_degree": "float64", + "hv_bus": "uint32", + "pfe_kw": "float64", + "sn_lv_kva": "uint64", + "tap_at_star_point": "bool", + "tp_max": "int32", + "vsc_hv_percent": "float64", + "tp_pos": "int32", + "vscr_mv_percent": "float64", + "std_type": "object", + "i0_percent": "float64", + "name": "object", + "vn_lv_kv": "float64", + "vsc_lv_percent": "float64", + "tp_side": "object", + "tp_st_degree": "float64", + "tp_min": "int32", + "in_service": "bool", + "mv_bus": "uint32", + "sn_hv_kva": "uint64", + "tp_mid": "int32", + "vn_mv_kv": "float64", + "vsc_mv_percent": "float64", + "sn_mv_kva": "uint64", + "vscr_hv_percent": "float64", + "lv_bus": "uint32", + "shift_mv_degree": "float64" + }, + "orient": "split", + "_class": "DataFrame", + "_module": "pandas.core.frame", + "_object": "{\"columns\":[\"name\",\"std_type\",\"hv_bus\",\"mv_bus\",\"lv_bus\",\"sn_hv_kva\",\"sn_mv_kva\",\"sn_lv_kva\",\"vn_hv_kv\",\"vn_mv_kv\",\"vn_lv_kv\",\"vsc_hv_percent\",\"vsc_mv_percent\",\"vsc_lv_percent\",\"vscr_hv_percent\",\"vscr_mv_percent\",\"vscr_lv_percent\",\"pfe_kw\",\"i0_percent\",\"shift_mv_degree\",\"shift_lv_degree\",\"tp_side\",\"tp_mid\",\"tp_min\",\"tp_max\",\"tp_st_percent\",\"tp_st_degree\",\"tp_pos\",\"tap_at_star_point\",\"in_service\"],\"index\":[0],\"data\":[[\"HV-MV-MV-Trafo\",null,33,36,37,40000,15000,25000,110.0,20.0,10.0,10.1,10.1,10.1,0.266667,0.033333,0.04,0.0,0.0,30.0,30.0,\"hv\",0,-8,8,1.25,null,0,false,true]]}" +},"user_pf_options":{},"version":1.6,"ward":{ + "dtype": { + "pz_kw": "float64", + "qz_kvar": "float64", + "in_service": "bool", + "qs_kvar": "float64", + "ps_kw": "float64", + "name": "object", + "bus": "uint32" + }, + "orient": "split", + "_class": "DataFrame", + "_module": "pandas.core.frame", + "_object": "{\"columns\":[\"name\",\"bus\",\"ps_kw\",\"qs_kvar\",\"qz_kvar\",\"pz_kw\",\"in_service\"],\"index\":[],\"data\":[]}" +},"xward":{ + "dtype": { + "pz_kw": "float64", + "vm_pu": "float64", + "qz_kvar": "float64", + "in_service": "bool", + "qs_kvar": "float64", + "ps_kw": "float64", + "x_ohm": "float64", + "name": "object", + "r_ohm": "float64", + "bus": "uint32" + }, + "orient": "split", + "_class": "DataFrame", + "_module": "pandas.core.frame", + "_object": "{\"columns\":[\"name\",\"bus\",\"ps_kw\",\"qs_kvar\",\"qz_kvar\",\"pz_kw\",\"r_ohm\",\"x_ohm\",\"vm_pu\",\"in_service\"],\"index\":[0,1],\"data\":[[\"XWard 1\",34,23942.0,-12241.8700000000008,0.0,2814.57099999999991,0.0,12.18951,1.02616,true],[\"XWard 2\",32,3776.0,-7769.97900000000027,0.0,9174.91699999999946,0.0,50.56217,1.024001,true]]}" +}} diff --git a/pandapower/test/test_files/old_versions/example_1.6.1.json b/test/test_files/old_versions/example_1.6.1.json similarity index 99% rename from pandapower/test/test_files/old_versions/example_1.6.1.json rename to test/test_files/old_versions/example_1.6.1.json index 5269976ed0..3d4b984274 100644 --- a/pandapower/test/test_files/old_versions/example_1.6.1.json +++ b/test/test_files/old_versions/example_1.6.1.json @@ -1,5 +1,5 @@ -{ - "_class": "pandapowerNet", - "_module": "pandapower.auxiliary", - "_object": "{\"OPF_converged\":false,\"bus\":{\n \"dtype\": {\n \"type\": \"object\",\n \"name\": \"object\",\n \"zone\": \"object\",\n \"in_service\": \"bool\",\n \"vn_kv\": \"float64\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"vn_kv\\\",\\\"type\\\",\\\"zone\\\",\\\"in_service\\\"],\\\"index\\\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56],\\\"data\\\":[[\\\"Double Busbar 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\"dtype\": {\n \"from_bus\": \"uint32\",\n \"loss_percent\": \"float64\",\n \"vm_to_pu\": \"float64\",\n \"in_service\": \"bool\",\n \"min_q_to_kvar\": \"float64\",\n \"p_kw\": \"float64\",\n \"max_q_from_kvar\": \"float64\",\n \"max_q_to_kvar\": \"float64\",\n \"vm_from_pu\": \"float64\",\n \"to_bus\": \"uint32\",\n \"min_q_from_kvar\": \"float64\",\n \"max_p_kw\": \"float64\",\n \"name\": \"object\",\n \"loss_kw\": \"float64\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"from_bus\\\",\\\"to_bus\\\",\\\"p_kw\\\",\\\"loss_percent\\\",\\\"loss_kw\\\",\\\"vm_from_pu\\\",\\\"vm_to_pu\\\",\\\"max_p_kw\\\",\\\"min_q_from_kvar\\\",\\\"min_q_to_kvar\\\",\\\"max_q_from_kvar\\\",\\\"max_q_to_kvar\\\",\\\"in_service\\\"],\\\"index\\\":[],\\\"data\\\":[]}\"\n},\"ext_grid\":{\n \"dtype\": {\n \"vm_pu\": \"float64\",\n \"rx_max\": \"float64\",\n \"in_service\": \"bool\",\n \"name\": \"object\",\n \"s_sc_max_mva\": \"float64\",\n \"bus\": \"uint32\",\n \"rx_min\": \"float64\",\n \"va_degree\": \"float64\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"bus\\\",\\\"vm_pu\\\",\\\"va_degree\\\",\\\"in_service\\\",\\\"s_sc_max_mva\\\",\\\"rx_min\\\",\\\"rx_max\\\"],\\\"index\\\":[0],\\\"data\\\":[[\\\"External grid\\\",0,1.03,0.0,true,10000.0,0.1,0.1]]}\"\n},\"f_hz\":50.0,\"gen\":{\n \"dtype\": {\n \"vm_pu\": \"float64\",\n \"sn_kva\": \"float64\",\n \"type\": \"object\",\n \"min_q_kvar\": \"float64\",\n \"in_service\": \"bool\",\n \"p_kw\": \"float64\",\n \"name\": \"object\",\n \"max_q_kvar\": \"float64\",\n \"scaling\": \"float64\",\n \"bus\": \"uint32\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"bus\\\",\\\"p_kw\\\",\\\"vm_pu\\\",\\\"sn_kva\\\",\\\"min_q_kvar\\\",\\\"max_q_kvar\\\",\\\"scaling\\\",\\\"in_service\\\",\\\"type\\\"],\\\"index\\\":[0],\\\"data\\\":[[\\\"Gas turbine\\\",35,-100000.0,1.03,null,null,null,1.0,true,null]]}\"\n},\"impedance\":{\n \"dtype\": {\n \"from_bus\": \"uint32\",\n \"xft_pu\": \"float64\",\n \"xtf_pu\": \"float64\",\n \"to_bus\": \"uint32\",\n \"sn_kva\": \"float64\",\n \"in_service\": \"bool\",\n \"rtf_pu\": \"float64\",\n \"name\": \"object\",\n \"rft_pu\": \"float64\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"from_bus\\\",\\\"to_bus\\\",\\\"rft_pu\\\",\\\"xft_pu\\\",\\\"rtf_pu\\\",\\\"xtf_pu\\\",\\\"sn_kva\\\",\\\"in_service\\\"],\\\"index\\\":[0],\\\"data\\\":[[\\\"Impedance\\\",34,32,0.074873,0.198872,0.074873,0.198872,100000.0,true]]}\"\n},\"line\":{\n \"dtype\": {\n \"from_bus\": \"uint32\",\n \"type\": \"object\",\n \"r_ohm_per_km\": \"float64\",\n \"parallel\": \"uint32\",\n \"in_service\": \"bool\",\n \"c_nf_per_km\": \"float64\",\n \"to_bus\": \"uint32\",\n \"df\": \"float64\",\n \"x_ohm_per_km\": \"float64\",\n \"length_km\": \"float64\",\n \"g_us_per_km\": \"float64\",\n \"name\": \"object\",\n \"std_type\": \"object\",\n \"max_i_ka\": \"float64\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"std_type\\\",\\\"from_bus\\\",\\\"to_bus\\\",\\\"length_km\\\",\\\"r_ohm_per_km\\\",\\\"x_ohm_per_km\\\",\\\"c_nf_per_km\\\",\\\"g_us_per_km\\\",\\\"max_i_ka\\\",\\\"df\\\",\\\"parallel\\\",\\\"type\\\",\\\"in_service\\\"],\\\"index\\\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24],\\\"data\\\":[[\\\"HV Line1\\\",\\\"184-AL1\\\\/30-ST1A 110.0\\\",18,32,30.0,0.1571,0.4,8.800000000000001,0.0,0.535,1.0,1,\\\"ol\\\",true],[\\\"HV Line2\\\",\\\"184-AL1\\\\/30-ST1A 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\"tp_mid\": 0,\n \"vscr_percent\": 1.206,\n \"i0_percent\": 0.2619,\n \"tp_min\": -2,\n \"tp_max\": 2,\n \"vn_lv_kv\": 0.4,\n \"tp_st_percent\": 2.5\n },\n \"25 MVA 110/10 kV v1.4.3 and older\": {\n \"sn_kva\": 25000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 110,\n \"pfe_kw\": 28.51,\n \"vsc_percent\": 10.04,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.276,\n \"i0_percent\": 0.073,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 10,\n \"tp_st_percent\": 1.5\n },\n \"63 MVA 110/20 kV v1.4.3 and older\": {\n \"sn_kva\": 63000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"i0_percent\": 0.086,\n \"pfe_kw\": 33,\n \"vsc_percent\": 11.2,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.322,\n \"vn_hv_kv\": 110.0,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 20.0,\n \"tp_st_percent\": 1.5\n },\n \"0.63 MVA 10/0.4 kV\": {\n \"sn_kva\": 630,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"Dyn5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 10,\n \"pfe_kw\": 1.18,\n \"vsc_percent\": 4,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 1.0794,\n \"i0_percent\": 0.1873,\n \"tp_min\": -2,\n \"tp_max\": 2,\n \"vn_lv_kv\": 0.4,\n \"tp_st_percent\": 2.5\n },\n \"40 MVA 110/10 kV\": {\n \"sn_kva\": 40000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 110,\n \"pfe_kw\": 18,\n \"vsc_percent\": 16.2,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.34,\n \"i0_percent\": 0.05,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 10,\n \"tp_st_percent\": 1.5\n },\n \"0.4 MVA 20/0.4 kV\": {\n \"sn_kva\": 400,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"Dyn5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 20,\n \"pfe_kw\": 1.35,\n \"vsc_percent\": 6,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 1.425,\n \"i0_percent\": 0.3375,\n \"tp_min\": -2,\n \"tp_max\": 2,\n \"vn_lv_kv\": 0.4,\n \"tp_st_percent\": 2.5\n },\n \"25 MVA 110/20 kV v1.4.3 and older\": {\n \"sn_kva\": 25000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"i0_percent\": 0.071,\n \"pfe_kw\": 29,\n \"vsc_percent\": 11.2,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.282,\n \"vn_hv_kv\": 110.0,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 20.0,\n \"tp_st_percent\": 1.5\n },\n \"0.25 MVA 10/0.4 kV\": {\n \"sn_kva\": 250,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"Dyn5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 10,\n \"pfe_kw\": 0.6,\n \"vsc_percent\": 4,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 1.2,\n \"i0_percent\": 0.24,\n \"tp_min\": -2,\n \"tp_max\": 2,\n \"vn_lv_kv\": 0.4,\n \"tp_st_percent\": 2.5\n },\n \"160 MVA 380/110 kV\": {\n \"sn_kva\": 160000.0,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"Yy0\",\n \"shift_degree\": 0,\n \"i0_percent\": 0.06,\n \"pfe_kw\": 60,\n \"vsc_percent\": 12.2,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.25,\n \"vn_hv_kv\": 380.0,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 110.0,\n \"tp_st_percent\": 1.5\n },\n \"40 MVA 110/20 kV v1.4.3 and older\": {\n \"sn_kva\": 40000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"i0_percent\": 0.08,\n \"pfe_kw\": 31,\n \"vsc_percent\": 11.2,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.302,\n \"vn_hv_kv\": 110.0,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 20.0,\n \"tp_st_percent\": 1.5\n },\n \"0.4 MVA 10/0.4 kV\": {\n \"sn_kva\": 400,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"Dyn5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 10,\n \"pfe_kw\": 0.95,\n \"vsc_percent\": 4,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 1.325,\n \"i0_percent\": 0.2375,\n \"tp_min\": -2,\n \"tp_max\": 2,\n \"vn_lv_kv\": 0.4,\n \"tp_st_percent\": 2.5\n },\n \"40 MVA 110/20 kV\": {\n \"sn_kva\": 40000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"i0_percent\": 0.05,\n \"pfe_kw\": 18,\n \"vsc_percent\": 16.2,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.34,\n \"vn_hv_kv\": 110.0,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 20.0,\n \"tp_st_percent\": 1.5\n }\n },\n \"line\": {\n \"70-AL1/11-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.36,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.4132,\n \"c_nf_per_km\": 9.7,\n \"q_mm2\": 70,\n \"max_i_ka\": 0.29\n },\n \"48-AL1/8-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.372,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.5939,\n \"c_nf_per_km\": 9.5,\n \"q_mm2\": 48,\n \"max_i_ka\": 0.21\n },\n \"149-AL1/24-ST1A 110.0\": {\n \"x_ohm_per_km\": 0.41,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.194,\n \"c_nf_per_km\": 8.75,\n \"q_mm2\": 149,\n \"max_i_ka\": 0.47\n },\n \"N2XS(FL)2Y 1x240 RM/35 64/110 kV\": {\n \"x_ohm_per_km\": 0.149,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.075,\n \"c_nf_per_km\": 135,\n \"q_mm2\": 240,\n \"max_i_ka\": 0.526\n },\n \"490-AL1/64-ST1A 220.0\": {\n \"x_ohm_per_km\": 0.285,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.059,\n \"c_nf_per_km\": 10,\n \"q_mm2\": 490,\n \"max_i_ka\": 0.96\n },\n \"94-AL1/15-ST1A 0.4\": {\n \"x_ohm_per_km\": 0.29,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.306,\n \"c_nf_per_km\": 13.2,\n \"q_mm2\": 94,\n \"max_i_ka\": 0.35\n },\n \"243-AL1/39-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.32,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.1188,\n \"c_nf_per_km\": 11,\n \"q_mm2\": 243,\n \"max_i_ka\": 0.645\n },\n \"94-AL1/15-ST1A 10.0\": {\n \"x_ohm_per_km\": 0.33,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.306,\n \"c_nf_per_km\": 10.75,\n \"q_mm2\": 94,\n \"max_i_ka\": 0.35\n },\n \"490-AL1/64-ST1A 380.0\": {\n \"x_ohm_per_km\": 0.253,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.059,\n \"c_nf_per_km\": 11,\n \"q_mm2\": 490,\n \"max_i_ka\": 0.96\n },\n \"NA2XS2Y 1x95 RM/25 12/20 kV\": {\n \"x_ohm_per_km\": 0.132,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.313,\n \"c_nf_per_km\": 216,\n \"q_mm2\": 95,\n \"max_i_ka\": 0.252\n },\n \"NA2XS2Y 1x185 RM/25 6/10 kV\": {\n \"x_ohm_per_km\": 0.11,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.161,\n \"c_nf_per_km\": 406,\n \"q_mm2\": 185,\n \"max_i_ka\": 0.358\n },\n \"NAYY 4x120 SE\": {\n \"x_ohm_per_km\": 0.08,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.225,\n \"c_nf_per_km\": 264,\n \"q_mm2\": 120,\n \"max_i_ka\": 0.242\n },\n \"NA2XS2Y 1x185 RM/25 12/20 kV\": {\n \"x_ohm_per_km\": 0.117,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.161,\n \"c_nf_per_km\": 273,\n \"q_mm2\": 185,\n \"max_i_ka\": 0.362\n },\n \"122-AL1/20-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.344,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.2376,\n \"c_nf_per_km\": 10.3,\n \"q_mm2\": 122,\n \"max_i_ka\": 0.41\n },\n \"NA2XS2Y 1x95 RM/25 6/10 kV\": {\n \"x_ohm_per_km\": 0.123,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.313,\n \"c_nf_per_km\": 315,\n \"q_mm2\": 95,\n \"max_i_ka\": 0.249\n },\n \"NA2XS2Y 1x240 RM/25 6/10 kV\": {\n \"x_ohm_per_km\": 0.105,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.122,\n \"c_nf_per_km\": 456,\n \"q_mm2\": 240,\n \"max_i_ka\": 0.416\n },\n \"184-AL1/30-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.33,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.1571,\n \"c_nf_per_km\": 10.75,\n \"q_mm2\": 184,\n \"max_i_ka\": 0.535\n },\n \"149-AL1/24-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.337,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.194,\n \"c_nf_per_km\": 10.5,\n \"q_mm2\": 149,\n \"max_i_ka\": 0.47\n },\n \"NA2XS2Y 1x70 RM/25 12/20 kV\": {\n \"x_ohm_per_km\": 0.132,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.443,\n \"c_nf_per_km\": 190,\n \"q_mm2\": 70,\n \"max_i_ka\": 0.22\n },\n \"NA2XS2Y 1x120 RM/25 6/10 kV\": {\n \"x_ohm_per_km\": 0.113,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.253,\n \"c_nf_per_km\": 340,\n \"q_mm2\": 120,\n \"max_i_ka\": 0.28\n },\n \"NA2XS2Y 1x150 RM/25 12/20 kV\": {\n \"x_ohm_per_km\": 0.116,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.206,\n \"c_nf_per_km\": 250,\n \"q_mm2\": 150,\n \"max_i_ka\": 0.319\n },\n \"70-AL1/11-ST1A 10.0\": {\n \"x_ohm_per_km\": 0.339,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.4132,\n \"c_nf_per_km\": 10.4,\n \"q_mm2\": 70,\n \"max_i_ka\": 0.29\n },\n \"48-AL1/8-ST1A 0.4\": {\n \"x_ohm_per_km\": 0.3,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.5939,\n \"c_nf_per_km\": 12.2,\n \"q_mm2\": 48,\n \"max_i_ka\": 0.21\n },\n \"N2XS(FL)2Y 1x300 RM/35 64/110 kV\": {\n \"x_ohm_per_km\": 0.144,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.06,\n \"c_nf_per_km\": 144,\n \"q_mm2\": 300,\n \"max_i_ka\": 0.588\n },\n \"34-AL1/6-ST1A 10.0\": {\n \"x_ohm_per_km\": 0.36,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.8342,\n \"c_nf_per_km\": 9.7,\n \"q_mm2\": 34,\n \"max_i_ka\": 0.17\n },\n \"N2XS(FL)2Y 1x185 RM/35 64/110 kV\": {\n \"x_ohm_per_km\": 0.156,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.099,\n \"c_nf_per_km\": 125,\n \"q_mm2\": 185,\n \"max_i_ka\": 0.457\n },\n \"NA2XS2Y 1x70 RM/25 6/10 kV\": {\n \"x_ohm_per_km\": 0.123,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.443,\n \"c_nf_per_km\": 280,\n \"q_mm2\": 70,\n \"max_i_ka\": 0.217\n },\n \"N2XS(FL)2Y 1x120 RM/35 64/110 kV\": {\n \"x_ohm_per_km\": 0.166,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.153,\n \"c_nf_per_km\": 112,\n \"q_mm2\": 120,\n \"max_i_ka\": 0.366\n },\n \"NAYY 4x150 SE\": {\n \"x_ohm_per_km\": 0.08,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.208,\n \"c_nf_per_km\": 261,\n \"q_mm2\": 150,\n \"max_i_ka\": 0.27\n },\n \"94-AL1/15-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.35,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.306,\n \"c_nf_per_km\": 10,\n \"q_mm2\": 94,\n \"max_i_ka\": 0.35\n },\n \"NA2XS2Y 1x150 RM/25 6/10 kV\": {\n \"x_ohm_per_km\": 0.11,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.206,\n \"c_nf_per_km\": 360,\n \"q_mm2\": 150,\n \"max_i_ka\": 0.315\n },\n \"NA2XS2Y 1x240 RM/25 12/20 kV\": {\n \"x_ohm_per_km\": 0.112,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.122,\n \"c_nf_per_km\": 304,\n \"q_mm2\": 240,\n \"max_i_ka\": 0.421\n },\n \"243-AL1/39-ST1A 110.0\": {\n \"x_ohm_per_km\": 0.39,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.1188,\n \"c_nf_per_km\": 9,\n \"q_mm2\": 243,\n \"max_i_ka\": 0.645\n },\n \"15-AL1/3-ST1A 0.4\": {\n \"x_ohm_per_km\": 0.35,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 1.8769,\n \"c_nf_per_km\": 11,\n \"q_mm2\": 16,\n \"max_i_ka\": 0.105\n },\n \"NA2XS2Y 1x120 RM/25 12/20 kV\": {\n \"x_ohm_per_km\": 0.119,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.253,\n \"c_nf_per_km\": 230,\n \"q_mm2\": 120,\n \"max_i_ka\": 0.283\n },\n \"184-AL1/30-ST1A 110.0\": {\n \"x_ohm_per_km\": 0.4,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.1571,\n \"c_nf_per_km\": 8.8,\n \"q_mm2\": 184,\n \"max_i_ka\": 0.535\n },\n \"24-AL1/4-ST1A 0.4\": {\n \"x_ohm_per_km\": 0.335,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 1.2012,\n \"c_nf_per_km\": 11.25,\n \"q_mm2\": 24,\n \"max_i_ka\": 0.14\n },\n \"305-AL1/39-ST1A 110.0\": {\n \"x_ohm_per_km\": 0.38,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.0949,\n \"c_nf_per_km\": 9.2,\n \"q_mm2\": 305,\n \"max_i_ka\": 0.74\n },\n \"122-AL1/20-ST1A 10.0\": {\n \"x_ohm_per_km\": 0.323,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.2376,\n \"c_nf_per_km\": 11.1,\n \"q_mm2\": 122,\n \"max_i_ka\": 0.41\n },\n \"149-AL1/24-ST1A 10.0\": {\n \"x_ohm_per_km\": 0.315,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.194,\n \"c_nf_per_km\": 11.25,\n \"q_mm2\": 149,\n \"max_i_ka\": 0.47\n },\n \"34-AL1/6-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.382,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.8342,\n \"c_nf_per_km\": 9.15,\n \"q_mm2\": 34,\n \"max_i_ka\": 0.17\n },\n \"48-AL1/8-ST1A 10.0\": {\n \"x_ohm_per_km\": 0.35,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.5939,\n \"c_nf_per_km\": 10.1,\n \"q_mm2\": 48,\n \"max_i_ka\": 0.21\n },\n \"NAYY 4x50 SE\": {\n \"x_ohm_per_km\": 0.083,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.642,\n \"c_nf_per_km\": 210,\n \"q_mm2\": 50,\n \"max_i_ka\": 0.142\n }\n },\n \"trafo3w\": {\n \"63/25/38 MVA 110/20/10 kV\": {\n \"tp_st_percent\": 1.2,\n \"vscr_lv_percent\": 0.35,\n \"shift_lv_degree\": 0,\n \"i0_percent\": 0.89,\n \"pfe_kw\": 35,\n \"sn_lv_kva\": 38000,\n \"tp_max\": 10,\n \"vsc_hv_percent\": 10.4,\n \"tp_min\": -10,\n \"vscr_mv_percent\": 0.32,\n \"vn_lv_kv\": 10,\n \"vsc_lv_percent\": 10.4,\n \"tp_side\": \"hv\",\n \"vector_group\": \"YN0yn0yn0\",\n \"vn_hv_kv\": 110,\n \"sn_hv_kva\": 63000,\n \"tp_mid\": 0,\n \"vn_mv_kv\": 20,\n \"vsc_mv_percent\": 10.4,\n \"sn_mv_kva\": 25000,\n \"vscr_hv_percent\": 0.28,\n \"shift_mv_degree\": 0\n },\n \"63/25/38 MVA 110/10/10 kV\": {\n \"tp_st_percent\": 1.2,\n \"vscr_lv_percent\": 0.35,\n \"shift_lv_degree\": 0,\n \"i0_percent\": 0.89,\n \"pfe_kw\": 35,\n \"sn_lv_kva\": 38000,\n \"tp_max\": 10,\n \"vsc_hv_percent\": 10.4,\n \"tp_min\": -10,\n \"vscr_mv_percent\": 0.32,\n \"vn_lv_kv\": 10,\n \"vsc_lv_percent\": 10.4,\n \"tp_side\": \"hv\",\n \"vector_group\": \"YN0yn0yn0\",\n \"vn_hv_kv\": 110,\n \"sn_hv_kva\": 63000,\n \"tp_mid\": 0,\n \"vn_mv_kv\": 10,\n \"vsc_mv_percent\": 10.4,\n \"sn_mv_kva\": 25000,\n \"vscr_hv_percent\": 0.28,\n \"shift_mv_degree\": 0\n }\n }\n},\"storage\":{\n \"dtype\": {\n \"sn_kva\": \"float64\",\n \"min_e_kwh\": \"float64\",\n \"type\": \"object\",\n \"soc_percent\": \"float64\",\n \"in_service\": \"bool\",\n \"q_kvar\": \"float64\",\n \"max_e_kwh\": \"float64\",\n \"name\": \"object\",\n \"p_kw\": \"float64\",\n \"scaling\": \"float64\",\n \"bus\": \"int64\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": 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63000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"i0_percent\": 0.04,\n \"pfe_kw\": 22,\n \"vsc_percent\": 18,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.32,\n \"vn_hv_kv\": 110.0,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 20.0,\n \"tp_st_percent\": 1.5\n },\n \"25 MVA 110/10 kV\": {\n \"sn_kva\": 25000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 110,\n \"pfe_kw\": 14,\n \"vsc_percent\": 12,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.41,\n \"i0_percent\": 0.07,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 10,\n \"tp_st_percent\": 1.5\n },\n \"0.63 MVA 20/0.4 kV\": {\n \"sn_kva\": 630,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"Dyn5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 20,\n \"pfe_kw\": 1.65,\n \"vsc_percent\": 6,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 1.206,\n \"i0_percent\": 0.2619,\n \"tp_min\": -2,\n \"tp_max\": 2,\n \"vn_lv_kv\": 0.4,\n \"tp_st_percent\": 2.5\n },\n \"25 MVA 110/10 kV v1.4.3 and older\": {\n \"sn_kva\": 25000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 110,\n \"pfe_kw\": 28.51,\n \"vsc_percent\": 10.04,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.276,\n \"i0_percent\": 0.073,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 10,\n \"tp_st_percent\": 1.5\n },\n \"63 MVA 110/20 kV v1.4.3 and older\": {\n \"sn_kva\": 63000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"i0_percent\": 0.086,\n \"pfe_kw\": 33,\n \"vsc_percent\": 11.2,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.322,\n \"vn_hv_kv\": 110.0,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 20.0,\n \"tp_st_percent\": 1.5\n },\n \"0.63 MVA 10/0.4 kV\": {\n \"sn_kva\": 630,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"Dyn5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 10,\n \"pfe_kw\": 1.18,\n \"vsc_percent\": 4,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 1.0794,\n \"i0_percent\": 0.1873,\n \"tp_min\": -2,\n \"tp_max\": 2,\n \"vn_lv_kv\": 0.4,\n \"tp_st_percent\": 2.5\n },\n \"40 MVA 110/10 kV\": {\n \"sn_kva\": 40000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 110,\n \"pfe_kw\": 18,\n \"vsc_percent\": 16.2,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.34,\n \"i0_percent\": 0.05,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 10,\n \"tp_st_percent\": 1.5\n },\n \"0.4 MVA 20/0.4 kV\": {\n \"sn_kva\": 400,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"Dyn5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 20,\n \"pfe_kw\": 1.35,\n \"vsc_percent\": 6,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 1.425,\n \"i0_percent\": 0.3375,\n \"tp_min\": -2,\n \"tp_max\": 2,\n \"vn_lv_kv\": 0.4,\n \"tp_st_percent\": 2.5\n },\n \"25 MVA 110/20 kV v1.4.3 and older\": {\n \"sn_kva\": 25000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"i0_percent\": 0.071,\n \"pfe_kw\": 29,\n \"vsc_percent\": 11.2,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.282,\n \"vn_hv_kv\": 110.0,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 20.0,\n \"tp_st_percent\": 1.5\n },\n \"0.25 MVA 10/0.4 kV\": {\n \"sn_kva\": 250,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"Dyn5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 10,\n \"pfe_kw\": 0.6,\n \"vsc_percent\": 4,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 1.2,\n \"i0_percent\": 0.24,\n \"tp_min\": -2,\n \"tp_max\": 2,\n \"vn_lv_kv\": 0.4,\n \"tp_st_percent\": 2.5\n },\n \"160 MVA 380/110 kV\": {\n \"sn_kva\": 160000.0,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"Yy0\",\n \"shift_degree\": 0,\n \"i0_percent\": 0.06,\n \"pfe_kw\": 60,\n \"vsc_percent\": 12.2,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.25,\n \"vn_hv_kv\": 380.0,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 110.0,\n \"tp_st_percent\": 1.5\n },\n \"40 MVA 110/20 kV v1.4.3 and older\": {\n \"sn_kva\": 40000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"i0_percent\": 0.08,\n \"pfe_kw\": 31,\n \"vsc_percent\": 11.2,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.302,\n \"vn_hv_kv\": 110.0,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 20.0,\n \"tp_st_percent\": 1.5\n },\n \"0.4 MVA 10/0.4 kV\": {\n \"sn_kva\": 400,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"Dyn5\",\n \"shift_degree\": 150,\n \"vn_hv_kv\": 10,\n \"pfe_kw\": 0.95,\n \"vsc_percent\": 4,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 1.325,\n \"i0_percent\": 0.2375,\n \"tp_min\": -2,\n \"tp_max\": 2,\n \"vn_lv_kv\": 0.4,\n \"tp_st_percent\": 2.5\n },\n \"40 MVA 110/20 kV\": {\n \"sn_kva\": 40000,\n \"tp_side\": \"hv\",\n \"tp_st_degree\": 0,\n \"vector_group\": \"YNd5\",\n \"shift_degree\": 150,\n \"i0_percent\": 0.05,\n \"pfe_kw\": 18,\n \"vsc_percent\": 16.2,\n \"tp_phase_shifter\": false,\n \"tp_mid\": 0,\n \"vscr_percent\": 0.34,\n \"vn_hv_kv\": 110.0,\n \"tp_min\": -9,\n \"tp_max\": 9,\n \"vn_lv_kv\": 20.0,\n \"tp_st_percent\": 1.5\n }\n },\n \"line\": {\n \"70-AL1/11-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.36,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.4132,\n \"c_nf_per_km\": 9.7,\n \"q_mm2\": 70,\n \"max_i_ka\": 0.29\n },\n \"48-AL1/8-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.372,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.5939,\n \"c_nf_per_km\": 9.5,\n \"q_mm2\": 48,\n \"max_i_ka\": 0.21\n },\n \"149-AL1/24-ST1A 110.0\": {\n \"x_ohm_per_km\": 0.41,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.194,\n \"c_nf_per_km\": 8.75,\n \"q_mm2\": 149,\n \"max_i_ka\": 0.47\n },\n \"N2XS(FL)2Y 1x240 RM/35 64/110 kV\": {\n \"x_ohm_per_km\": 0.149,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.075,\n \"c_nf_per_km\": 135,\n \"q_mm2\": 240,\n \"max_i_ka\": 0.526\n },\n \"490-AL1/64-ST1A 220.0\": {\n \"x_ohm_per_km\": 0.285,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.059,\n \"c_nf_per_km\": 10,\n \"q_mm2\": 490,\n \"max_i_ka\": 0.96\n },\n \"94-AL1/15-ST1A 0.4\": {\n \"x_ohm_per_km\": 0.29,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.306,\n \"c_nf_per_km\": 13.2,\n \"q_mm2\": 94,\n \"max_i_ka\": 0.35\n },\n \"243-AL1/39-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.32,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.1188,\n \"c_nf_per_km\": 11,\n \"q_mm2\": 243,\n \"max_i_ka\": 0.645\n },\n \"94-AL1/15-ST1A 10.0\": {\n \"x_ohm_per_km\": 0.33,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.306,\n \"c_nf_per_km\": 10.75,\n \"q_mm2\": 94,\n \"max_i_ka\": 0.35\n },\n \"490-AL1/64-ST1A 380.0\": {\n \"x_ohm_per_km\": 0.253,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.059,\n \"c_nf_per_km\": 11,\n \"q_mm2\": 490,\n \"max_i_ka\": 0.96\n },\n \"NA2XS2Y 1x95 RM/25 12/20 kV\": {\n \"x_ohm_per_km\": 0.132,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.313,\n \"c_nf_per_km\": 216,\n \"q_mm2\": 95,\n \"max_i_ka\": 0.252\n },\n \"NA2XS2Y 1x185 RM/25 6/10 kV\": {\n \"x_ohm_per_km\": 0.11,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.161,\n \"c_nf_per_km\": 406,\n \"q_mm2\": 185,\n \"max_i_ka\": 0.358\n },\n \"NAYY 4x120 SE\": {\n \"x_ohm_per_km\": 0.08,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.225,\n \"c_nf_per_km\": 264,\n \"q_mm2\": 120,\n \"max_i_ka\": 0.242\n },\n \"NA2XS2Y 1x185 RM/25 12/20 kV\": {\n \"x_ohm_per_km\": 0.117,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.161,\n \"c_nf_per_km\": 273,\n \"q_mm2\": 185,\n \"max_i_ka\": 0.362\n },\n \"122-AL1/20-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.344,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.2376,\n \"c_nf_per_km\": 10.3,\n \"q_mm2\": 122,\n \"max_i_ka\": 0.41\n },\n \"NA2XS2Y 1x95 RM/25 6/10 kV\": {\n \"x_ohm_per_km\": 0.123,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.313,\n \"c_nf_per_km\": 315,\n \"q_mm2\": 95,\n \"max_i_ka\": 0.249\n },\n \"NA2XS2Y 1x240 RM/25 6/10 kV\": {\n \"x_ohm_per_km\": 0.105,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.122,\n \"c_nf_per_km\": 456,\n \"q_mm2\": 240,\n \"max_i_ka\": 0.416\n },\n \"184-AL1/30-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.33,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.1571,\n \"c_nf_per_km\": 10.75,\n \"q_mm2\": 184,\n \"max_i_ka\": 0.535\n },\n \"149-AL1/24-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.337,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.194,\n \"c_nf_per_km\": 10.5,\n \"q_mm2\": 149,\n \"max_i_ka\": 0.47\n },\n \"NA2XS2Y 1x70 RM/25 12/20 kV\": {\n \"x_ohm_per_km\": 0.132,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.443,\n \"c_nf_per_km\": 190,\n \"q_mm2\": 70,\n \"max_i_ka\": 0.22\n },\n \"NA2XS2Y 1x120 RM/25 6/10 kV\": {\n \"x_ohm_per_km\": 0.113,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.253,\n \"c_nf_per_km\": 340,\n \"q_mm2\": 120,\n \"max_i_ka\": 0.28\n },\n \"NA2XS2Y 1x150 RM/25 12/20 kV\": {\n \"x_ohm_per_km\": 0.116,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.206,\n \"c_nf_per_km\": 250,\n \"q_mm2\": 150,\n \"max_i_ka\": 0.319\n },\n \"70-AL1/11-ST1A 10.0\": {\n \"x_ohm_per_km\": 0.339,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.4132,\n \"c_nf_per_km\": 10.4,\n \"q_mm2\": 70,\n \"max_i_ka\": 0.29\n },\n \"48-AL1/8-ST1A 0.4\": {\n \"x_ohm_per_km\": 0.3,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.5939,\n \"c_nf_per_km\": 12.2,\n \"q_mm2\": 48,\n \"max_i_ka\": 0.21\n },\n \"N2XS(FL)2Y 1x300 RM/35 64/110 kV\": {\n \"x_ohm_per_km\": 0.144,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.06,\n \"c_nf_per_km\": 144,\n \"q_mm2\": 300,\n \"max_i_ka\": 0.588\n },\n \"34-AL1/6-ST1A 10.0\": {\n \"x_ohm_per_km\": 0.36,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.8342,\n \"c_nf_per_km\": 9.7,\n \"q_mm2\": 34,\n \"max_i_ka\": 0.17\n },\n \"N2XS(FL)2Y 1x185 RM/35 64/110 kV\": {\n \"x_ohm_per_km\": 0.156,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.099,\n \"c_nf_per_km\": 125,\n \"q_mm2\": 185,\n \"max_i_ka\": 0.457\n },\n \"NA2XS2Y 1x70 RM/25 6/10 kV\": {\n \"x_ohm_per_km\": 0.123,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.443,\n \"c_nf_per_km\": 280,\n \"q_mm2\": 70,\n \"max_i_ka\": 0.217\n },\n \"N2XS(FL)2Y 1x120 RM/35 64/110 kV\": {\n \"x_ohm_per_km\": 0.166,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.153,\n \"c_nf_per_km\": 112,\n \"q_mm2\": 120,\n \"max_i_ka\": 0.366\n },\n \"NAYY 4x150 SE\": {\n \"x_ohm_per_km\": 0.08,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.208,\n \"c_nf_per_km\": 261,\n \"q_mm2\": 150,\n \"max_i_ka\": 0.27\n },\n \"94-AL1/15-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.35,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.306,\n \"c_nf_per_km\": 10,\n \"q_mm2\": 94,\n \"max_i_ka\": 0.35\n },\n \"NA2XS2Y 1x150 RM/25 6/10 kV\": {\n \"x_ohm_per_km\": 0.11,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.206,\n \"c_nf_per_km\": 360,\n \"q_mm2\": 150,\n \"max_i_ka\": 0.315\n },\n \"NA2XS2Y 1x240 RM/25 12/20 kV\": {\n \"x_ohm_per_km\": 0.112,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.122,\n \"c_nf_per_km\": 304,\n \"q_mm2\": 240,\n \"max_i_ka\": 0.421\n },\n \"243-AL1/39-ST1A 110.0\": {\n \"x_ohm_per_km\": 0.39,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.1188,\n \"c_nf_per_km\": 9,\n \"q_mm2\": 243,\n \"max_i_ka\": 0.645\n },\n \"15-AL1/3-ST1A 0.4\": {\n \"x_ohm_per_km\": 0.35,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 1.8769,\n \"c_nf_per_km\": 11,\n \"q_mm2\": 16,\n \"max_i_ka\": 0.105\n },\n \"NA2XS2Y 1x120 RM/25 12/20 kV\": {\n \"x_ohm_per_km\": 0.119,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.253,\n \"c_nf_per_km\": 230,\n \"q_mm2\": 120,\n \"max_i_ka\": 0.283\n },\n \"184-AL1/30-ST1A 110.0\": {\n \"x_ohm_per_km\": 0.4,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.1571,\n \"c_nf_per_km\": 8.8,\n \"q_mm2\": 184,\n \"max_i_ka\": 0.535\n },\n \"24-AL1/4-ST1A 0.4\": {\n \"x_ohm_per_km\": 0.335,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 1.2012,\n \"c_nf_per_km\": 11.25,\n \"q_mm2\": 24,\n \"max_i_ka\": 0.14\n },\n \"305-AL1/39-ST1A 110.0\": {\n \"x_ohm_per_km\": 0.38,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.0949,\n \"c_nf_per_km\": 9.2,\n \"q_mm2\": 305,\n \"max_i_ka\": 0.74\n },\n \"122-AL1/20-ST1A 10.0\": {\n \"x_ohm_per_km\": 0.323,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.2376,\n \"c_nf_per_km\": 11.1,\n \"q_mm2\": 122,\n \"max_i_ka\": 0.41\n },\n \"149-AL1/24-ST1A 10.0\": {\n \"x_ohm_per_km\": 0.315,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.194,\n \"c_nf_per_km\": 11.25,\n \"q_mm2\": 149,\n \"max_i_ka\": 0.47\n },\n \"34-AL1/6-ST1A 20.0\": {\n \"x_ohm_per_km\": 0.382,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.8342,\n \"c_nf_per_km\": 9.15,\n \"q_mm2\": 34,\n \"max_i_ka\": 0.17\n },\n \"48-AL1/8-ST1A 10.0\": {\n \"x_ohm_per_km\": 0.35,\n \"type\": \"ol\",\n \"r_ohm_per_km\": 0.5939,\n \"c_nf_per_km\": 10.1,\n \"q_mm2\": 48,\n \"max_i_ka\": 0.21\n },\n \"NAYY 4x50 SE\": {\n \"x_ohm_per_km\": 0.083,\n \"type\": \"cs\",\n \"r_ohm_per_km\": 0.642,\n \"c_nf_per_km\": 210,\n \"q_mm2\": 50,\n \"max_i_ka\": 0.142\n }\n },\n \"trafo3w\": {\n \"63/25/38 MVA 110/20/10 kV\": {\n \"tp_st_percent\": 1.2,\n \"vscr_lv_percent\": 0.35,\n \"shift_lv_degree\": 0,\n \"i0_percent\": 0.89,\n \"pfe_kw\": 35,\n \"sn_lv_kva\": 38000,\n \"tp_max\": 10,\n \"vsc_hv_percent\": 10.4,\n \"tp_min\": -10,\n \"vscr_mv_percent\": 0.32,\n \"vn_lv_kv\": 10,\n \"vsc_lv_percent\": 10.4,\n \"tp_side\": \"hv\",\n \"vector_group\": \"YN0yn0yn0\",\n \"vn_hv_kv\": 110,\n \"sn_hv_kva\": 63000,\n \"tp_mid\": 0,\n \"vn_mv_kv\": 20,\n \"vsc_mv_percent\": 10.4,\n \"sn_mv_kva\": 25000,\n \"vscr_hv_percent\": 0.28,\n \"shift_mv_degree\": 0\n },\n \"63/25/38 MVA 110/10/10 kV\": {\n \"tp_st_percent\": 1.2,\n \"vscr_lv_percent\": 0.35,\n \"shift_lv_degree\": 0,\n \"i0_percent\": 0.89,\n \"pfe_kw\": 35,\n \"sn_lv_kva\": 38000,\n \"tp_max\": 10,\n \"vsc_hv_percent\": 10.4,\n \"tp_min\": -10,\n \"vscr_mv_percent\": 0.32,\n \"vn_lv_kv\": 10,\n \"vsc_lv_percent\": 10.4,\n \"tp_side\": \"hv\",\n \"vector_group\": \"YN0yn0yn0\",\n \"vn_hv_kv\": 110,\n \"sn_hv_kva\": 63000,\n \"tp_mid\": 0,\n \"vn_mv_kv\": 10,\n \"vsc_mv_percent\": 10.4,\n \"sn_mv_kva\": 25000,\n \"vscr_hv_percent\": 0.28,\n \"shift_mv_degree\": 0\n }\n }\n},\"storage\":{\n \"dtype\": {\n \"sn_kva\": \"float64\",\n \"min_e_kwh\": \"float64\",\n \"type\": \"object\",\n \"soc_percent\": \"float64\",\n \"in_service\": \"bool\",\n \"q_kvar\": \"float64\",\n \"max_e_kwh\": \"float64\",\n \"name\": \"object\",\n \"p_kw\": \"float64\",\n \"scaling\": \"float64\",\n \"bus\": \"int64\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"bus\\\",\\\"p_kw\\\",\\\"q_kvar\\\",\\\"sn_kva\\\",\\\"soc_percent\\\",\\\"min_e_kwh\\\",\\\"max_e_kwh\\\",\\\"scaling\\\",\\\"in_service\\\",\\\"type\\\"],\\\"index\\\":[],\\\"data\\\":[]}\"\n},\"switch\":{\n \"dtype\": {\n \"type\": \"object\",\n \"et\": \"object\",\n \"element\": \"int64\",\n \"name\": \"object\",\n \"closed\": \"bool\",\n \"bus\": \"int64\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"bus\\\",\\\"element\\\",\\\"et\\\",\\\"type\\\",\\\"closed\\\",\\\"name\\\"],\\\"index\\\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87],\\\"data\\\":[[1,2,\\\"b\\\",\\\"DS\\\",true,\\\"DB DS0\\\"],[0,3,\\\"b\\\",\\\"DS\\\",true,\\\"DB 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Line4\\\"],[41,10,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus MV4 - MV Line5\\\"],[42,10,\\\"l\\\",\\\"LBS\\\",false,\\\"Switch Bus MV5 - MV Line5\\\"],[42,11,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus MV5 - MV Line6\\\"],[43,11,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus MV6 - MV Line6\\\"],[43,12,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus MV6 - MV Line7\\\"],[44,12,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus MV7 - MV Line7\\\"],[37,13,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus MV0 - MV Line8\\\"],[44,13,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus MV7 - MV Line8\\\"],[45,14,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV0 - LV Line1.1\\\"],[46,14,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV1.1 - LV Line1.1\\\"],[46,15,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV1.1 - LV Line1.2\\\"],[47,15,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV1.2 - LV Line1.2\\\"],[47,16,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV1.2 - LV Line1.3\\\"],[48,16,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV1.3 - LV Line1.3\\\"],[48,17,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV1.3 - LV Line1.4\\\"],[49,17,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV1.4 - LV Line1.4\\\"],[49,18,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV1.4 - LV Line1.6\\\"],[50,18,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV1.5 - LV Line1.6\\\"],[45,19,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV0 - LV Line2.1\\\"],[51,19,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV2.1 - LV Line2.1\\\"],[51,20,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV2.1 - LV Line2.2\\\"],[52,20,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV2.2 - LV Line2.2\\\"],[52,21,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV2.2 - LV Line2.3\\\"],[53,21,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV2.3 - LV Line2.3\\\"],[53,22,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV2.3 - LV Line2.4\\\"],[54,22,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV2.4 - LV Line2.4\\\"],[52,23,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV2.2 - LV Line2.2.1\\\"],[55,23,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV2.2.1 - LV Line2.2.1\\\"],[55,24,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV2.2.1 - LV Line2.2.2\\\"],[56,24,\\\"l\\\",\\\"LBS\\\",true,\\\"Switch Bus LV2.2.2 - LV Line2.2.2\\\"],[13,0,\\\"t\\\",\\\"LBS\\\",true,\\\"Switch DB2 - EHV-HV-Trafo\\\"],[17,0,\\\"t\\\",\\\"LBS\\\",true,\\\"Switch SB1 - EHV-HV-Trafo\\\"],[41,1,\\\"t\\\",\\\"LBS\\\",true,\\\"Switch MV4 - MV-LV-Trafo\\\"],[45,1,\\\"t\\\",\\\"LBS\\\",true,\\\"Switch LV0 - MV-LV-Trafo\\\"]]}\"\n},\"trafo\":{\n \"dtype\": {\n \"tp_st_percent\": \"float64\",\n \"parallel\": \"uint32\",\n \"in_service\": \"bool\",\n \"hv_bus\": \"uint32\",\n \"pfe_kw\": \"float64\",\n \"tp_max\": \"float64\",\n \"std_type\": \"object\",\n \"i0_percent\": \"float64\",\n \"name\": \"object\",\n \"vn_lv_kv\": \"float64\",\n \"sn_kva\": \"float64\",\n \"tp_side\": \"object\",\n \"tp_st_degree\": \"float64\",\n \"tp_min\": \"float64\",\n \"shift_degree\": \"float64\",\n \"tp_pos\": \"int32\",\n \"vsc_percent\": \"float64\",\n \"tp_phase_shifter\": \"bool\",\n \"tp_mid\": \"float64\",\n \"vscr_percent\": \"float64\",\n \"vn_hv_kv\": \"float64\",\n \"df\": \"float64\",\n \"lv_bus\": \"uint32\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"std_type\\\",\\\"hv_bus\\\",\\\"lv_bus\\\",\\\"sn_kva\\\",\\\"vn_hv_kv\\\",\\\"vn_lv_kv\\\",\\\"vsc_percent\\\",\\\"vscr_percent\\\",\\\"pfe_kw\\\",\\\"i0_percent\\\",\\\"shift_degree\\\",\\\"tp_side\\\",\\\"tp_mid\\\",\\\"tp_min\\\",\\\"tp_max\\\",\\\"tp_st_percent\\\",\\\"tp_st_degree\\\",\\\"tp_pos\\\",\\\"tp_phase_shifter\\\",\\\"parallel\\\",\\\"df\\\",\\\"in_service\\\"],\\\"index\\\":[0,1],\\\"data\\\":[[\\\"EHV-HV-Trafo\\\",null,13,17,300000.0,380.0,110.0,8.0,0.06,0.0,0.0,0.0,null,null,null,null,null,null,0,false,1,1.0,true],[\\\"MV-LV-Trafo\\\",null,41,45,400.0,10.0,0.4,4.0,1.325,0.95,0.2375,150.0,\\\"hv\\\",0.0,-2.0,2.0,2.5,null,0,false,1,1.0,true]]}\"\n},\"trafo3w\":{\n \"dtype\": {\n \"tp_st_percent\": \"float64\",\n \"vscr_lv_percent\": \"float64\",\n \"vn_hv_kv\": \"float64\",\n \"shift_lv_degree\": \"float64\",\n \"hv_bus\": \"uint32\",\n \"pfe_kw\": \"float64\",\n \"sn_lv_kva\": \"uint64\",\n \"tap_at_star_point\": \"bool\",\n \"tp_max\": \"int32\",\n \"vsc_hv_percent\": \"float64\",\n \"tp_pos\": \"int32\",\n \"vscr_mv_percent\": \"float64\",\n \"std_type\": \"object\",\n \"i0_percent\": \"float64\",\n \"name\": \"object\",\n \"vn_lv_kv\": \"float64\",\n \"vsc_lv_percent\": \"float64\",\n \"tp_side\": \"object\",\n \"tp_st_degree\": \"float64\",\n \"tp_min\": \"int32\",\n \"in_service\": \"bool\",\n \"mv_bus\": \"uint32\",\n \"sn_hv_kva\": \"uint64\",\n \"tp_mid\": \"int32\",\n \"vn_mv_kv\": \"float64\",\n \"vsc_mv_percent\": \"float64\",\n \"sn_mv_kva\": \"uint64\",\n \"vscr_hv_percent\": \"float64\",\n \"lv_bus\": \"uint32\",\n \"shift_mv_degree\": \"float64\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"std_type\\\",\\\"hv_bus\\\",\\\"mv_bus\\\",\\\"lv_bus\\\",\\\"sn_hv_kva\\\",\\\"sn_mv_kva\\\",\\\"sn_lv_kva\\\",\\\"vn_hv_kv\\\",\\\"vn_mv_kv\\\",\\\"vn_lv_kv\\\",\\\"vsc_hv_percent\\\",\\\"vsc_mv_percent\\\",\\\"vsc_lv_percent\\\",\\\"vscr_hv_percent\\\",\\\"vscr_mv_percent\\\",\\\"vscr_lv_percent\\\",\\\"pfe_kw\\\",\\\"i0_percent\\\",\\\"shift_mv_degree\\\",\\\"shift_lv_degree\\\",\\\"tp_side\\\",\\\"tp_mid\\\",\\\"tp_min\\\",\\\"tp_max\\\",\\\"tp_st_percent\\\",\\\"tp_st_degree\\\",\\\"tp_pos\\\",\\\"tap_at_star_point\\\",\\\"in_service\\\"],\\\"index\\\":[0],\\\"data\\\":[[\\\"HV-MV-MV-Trafo\\\",null,33,36,37,40000,15000,25000,110.0,20.0,10.0,10.1,10.1,10.1,0.266667,0.033333,0.04,0.0,0.0,30.0,30.0,\\\"hv\\\",0,-8,8,1.25,null,0,false,true]]}\"\n},\"user_pf_options\":{},\"version\":1.6,\"ward\":{\n \"dtype\": {\n \"pz_kw\": \"float64\",\n \"qz_kvar\": \"float64\",\n \"in_service\": \"bool\",\n \"qs_kvar\": \"float64\",\n \"ps_kw\": \"float64\",\n \"name\": \"object\",\n \"bus\": \"uint32\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"bus\\\",\\\"ps_kw\\\",\\\"qs_kvar\\\",\\\"qz_kvar\\\",\\\"pz_kw\\\",\\\"in_service\\\"],\\\"index\\\":[],\\\"data\\\":[]}\"\n},\"xward\":{\n \"dtype\": {\n \"pz_kw\": \"float64\",\n \"vm_pu\": \"float64\",\n \"qz_kvar\": \"float64\",\n \"in_service\": \"bool\",\n \"qs_kvar\": \"float64\",\n \"ps_kw\": \"float64\",\n \"x_ohm\": \"float64\",\n \"name\": \"object\",\n \"r_ohm\": \"float64\",\n \"bus\": \"uint32\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"bus\\\",\\\"ps_kw\\\",\\\"qs_kvar\\\",\\\"qz_kvar\\\",\\\"pz_kw\\\",\\\"r_ohm\\\",\\\"x_ohm\\\",\\\"vm_pu\\\",\\\"in_service\\\"],\\\"index\\\":[0,1],\\\"data\\\":[[\\\"XWard 1\\\",34,23942.0,-12241.8700000000008,0.0,2814.570999999999913,0.0,12.18951,1.02616,true],[\\\"XWard 2\\\",32,3776.0,-7769.979000000000269,0.0,9174.916999999999462,0.0,50.562170000000002,1.024001,true]]}\"\n}}\n" } \ No newline at end of file diff --git a/pandapower/test/test_files/old_versions/example_2.0.0.json b/test/test_files/old_versions/example_2.0.0.json similarity index 99% rename from pandapower/test/test_files/old_versions/example_2.0.0.json rename to test/test_files/old_versions/example_2.0.0.json index 7dc5ffe9cf..9aebca8fb3 100644 --- a/pandapower/test/test_files/old_versions/example_2.0.0.json +++ b/test/test_files/old_versions/example_2.0.0.json @@ -1,5 +1,5 @@ -{ - "_class": "pandapowerNet", - "_module": "pandapower.auxiliary", - "_object": "{\"OPF_converged\":false,\"bus\":{\n \"dtype\": {\n \"type\": \"object\",\n \"name\": \"object\",\n \"zone\": \"object\",\n \"in_service\": \"bool\",\n \"vn_kv\": \"float64\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"vn_kv\\\",\\\"type\\\",\\\"zone\\\",\\\"in_service\\\"],\\\"index\\\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56],\\\"data\\\":[[\\\"Double Busbar 1\\\",380.0,\\\"b\\\",null,true],[\\\"Double Busbar 2\\\",380.0,\\\"b\\\",null,true],[\\\"Bus DB T0\\\",380.0,\\\"n\\\",null,true],[\\\"Bus DB T1\\\",380.0,\\\"n\\\",null,true],[\\\"Bus DB T2\\\",380.0,\\\"n\\\",null,true],[\\\"Bus DB T3\\\",380.0,\\\"n\\\",null,true],[\\\"Bus DB T4\\\",380.0,\\\"n\\\",null,true],[\\\"Bus DB T5\\\",380.0,\\\"n\\\",null,true],[\\\"Bus DB T6\\\",380.0,\\\"n\\\",null,true],[\\\"Bus DB T7\\\",380.0,\\\"n\\\",null,true],[\\\"Bus DB T8\\\",380.0,\\\"n\\\",null,true],[\\\"Bus DB T9\\\",380.0,\\\"n\\\",null,true],[\\\"Bus DB 1\\\",380.0,\\\"n\\\",null,true],[\\\"Bus DB 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\"float64\",\n \"bus\": \"int64\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"bus\\\",\\\"p_mw\\\",\\\"q_mvar\\\",\\\"sn_mva\\\",\\\"soc_percent\\\",\\\"min_e_mwh\\\",\\\"max_e_mwh\\\",\\\"scaling\\\",\\\"in_service\\\",\\\"type\\\"],\\\"index\\\":[],\\\"data\\\":[]}\"\n},\"switch\":{\n \"dtype\": {\n \"type\": \"object\",\n \"et\": \"object\",\n \"element\": \"int64\",\n \"name\": \"object\",\n \"closed\": \"bool\",\n \"bus\": \"int64\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": 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\"float64\",\n \"hv_bus\": \"uint32\",\n \"pfe_kw\": \"float64\",\n \"sn_mva\": \"float64\",\n \"tap_pos\": \"int32\",\n \"std_type\": \"object\",\n \"vkr_percent\": \"float64\",\n \"name\": \"object\",\n \"vn_lv_kv\": \"float64\",\n \"tap_max\": \"float64\",\n \"shift_degree\": \"float64\",\n \"vn_hv_kv\": \"float64\",\n \"tap_side\": \"object\",\n \"parallel\": \"uint32\",\n \"i0_percent\": \"float64\",\n \"tap_min\": \"float64\",\n \"vk_percent\": \"float64\",\n \"df\": \"float64\",\n \"tap_phase_shifter\": \"bool\",\n \"lv_bus\": \"uint32\",\n \"tap_neutral\": \"float64\",\n \"in_service\": \"bool\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"std_type\\\",\\\"hv_bus\\\",\\\"lv_bus\\\",\\\"sn_mva\\\",\\\"vn_hv_kv\\\",\\\"vn_lv_kv\\\",\\\"vk_percent\\\",\\\"vkr_percent\\\",\\\"pfe_kw\\\",\\\"i0_percent\\\",\\\"shift_degree\\\",\\\"tap_side\\\",\\\"tap_neutral\\\",\\\"tap_min\\\",\\\"tap_max\\\",\\\"tap_step_percent\\\",\\\"tap_step_degree\\\",\\\"tap_pos\\\",\\\"tap_phase_shifter\\\",\\\"parallel\\\",\\\"df\\\",\\\"in_service\\\"],\\\"index\\\":[0,1],\\\"data\\\":[[\\\"EHV-HV-Trafo\\\",null,13,17,300.0,380.0,110.0,8.0,0.06,0.0,0.0,0.0,null,null,null,null,null,null,0,false,1,1.0,true],[\\\"MV-LV-Trafo\\\",null,41,45,0.4,10.0,0.4,4.0,1.325,0.95,0.2375,150.0,\\\"hv\\\",0.0,-2.0,2.0,2.5,null,0,false,1,1.0,true]]}\"\n},\"trafo3w\":{\n \"dtype\": {\n \"tap_at_star_point\": \"bool\",\n \"shift_lv_degree\": \"float64\",\n \"tap_step_percent\": \"float64\",\n \"hv_bus\": \"uint32\",\n \"pfe_kw\": \"float64\",\n \"vk_mv_percent\": \"float64\",\n \"tap_pos\": \"int32\",\n \"sn_hv_mva\": \"float64\",\n \"vkr_lv_percent\": \"float64\",\n \"std_type\": \"object\",\n \"name\": \"object\",\n \"i0_percent\": \"float64\",\n \"vkr_hv_percent\": \"float64\",\n \"vkr_mv_percent\": \"float64\",\n \"vn_lv_kv\": \"float64\",\n \"in_service\": \"bool\",\n \"tap_max\": \"int32\",\n \"vk_hv_percent\": \"float64\",\n \"tap_step_degree\": \"float64\",\n \"tap_neutral\": \"int32\",\n \"sn_lv_mva\": \"float64\",\n \"mv_bus\": \"uint32\",\n \"tap_side\": \"object\",\n \"vn_mv_kv\": \"float64\",\n \"vk_lv_percent\": \"float64\",\n \"vn_hv_kv\": \"float64\",\n \"tap_min\": \"int32\",\n \"lv_bus\": \"uint32\",\n \"shift_mv_degree\": \"float64\",\n \"sn_mv_mva\": \"float64\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"std_type\\\",\\\"hv_bus\\\",\\\"mv_bus\\\",\\\"lv_bus\\\",\\\"sn_hv_mva\\\",\\\"sn_mv_mva\\\",\\\"sn_lv_mva\\\",\\\"vn_hv_kv\\\",\\\"vn_mv_kv\\\",\\\"vn_lv_kv\\\",\\\"vk_hv_percent\\\",\\\"vk_mv_percent\\\",\\\"vk_lv_percent\\\",\\\"vkr_hv_percent\\\",\\\"vkr_mv_percent\\\",\\\"vkr_lv_percent\\\",\\\"pfe_kw\\\",\\\"i0_percent\\\",\\\"shift_mv_degree\\\",\\\"shift_lv_degree\\\",\\\"tap_side\\\",\\\"tap_neutral\\\",\\\"tap_min\\\",\\\"tap_max\\\",\\\"tap_step_percent\\\",\\\"tap_step_degree\\\",\\\"tap_pos\\\",\\\"tap_at_star_point\\\",\\\"in_service\\\"],\\\"index\\\":[0],\\\"data\\\":[[\\\"HV-MV-MV-Trafo\\\",null,33,36,37,40.0,15.0,25.0,110.0,20.0,10.0,10.1,10.1,10.1,0.266667,0.033333,0.04,0.0,0.0,30.0,30.0,\\\"hv\\\",0,-8,8,1.25,null,0,false,true]]}\"\n},\"user_pf_options\":{},\"version\":2.0,\"ward\":{\n \"dtype\": {\n \"qz_mvar\": \"float64\",\n \"in_service\": \"bool\",\n \"pz_mw\": \"float64\",\n \"qs_mvar\": \"float64\",\n \"name\": \"object\",\n \"ps_mw\": \"float64\",\n \"bus\": \"uint32\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"bus\\\",\\\"ps_mw\\\",\\\"qs_mvar\\\",\\\"qz_mvar\\\",\\\"pz_mw\\\",\\\"in_service\\\"],\\\"index\\\":[],\\\"data\\\":[]}\"\n},\"xward\":{\n \"dtype\": {\n \"vm_pu\": \"float64\",\n \"qz_mvar\": \"float64\",\n \"in_service\": \"bool\",\n \"pz_mw\": \"float64\",\n \"qs_mvar\": \"float64\",\n \"x_ohm\": \"float64\",\n \"name\": \"object\",\n \"ps_mw\": \"float64\",\n \"r_ohm\": \"float64\",\n \"bus\": \"uint32\"\n },\n \"orient\": \"split\",\n \"_class\": \"DataFrame\",\n \"_module\": \"pandas.core.frame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"bus\\\",\\\"ps_mw\\\",\\\"qs_mvar\\\",\\\"qz_mvar\\\",\\\"pz_mw\\\",\\\"r_ohm\\\",\\\"x_ohm\\\",\\\"vm_pu\\\",\\\"in_service\\\"],\\\"index\\\":[0,1],\\\"data\\\":[[\\\"XWard 1\\\",34,23.942,-12.24187,0.0,2.814571,0.0,12.18951,1.02616,true],[\\\"XWard 2\\\",32,3.776,-7.769979,0.0,9.174917000000001,0.0,50.562170000000002,1.024001,true]]}\"\n}}\n" } \ No newline at end of file diff --git a/pandapower/test/test_files/old_versions/example_2.0.1.json b/test/test_files/old_versions/example_2.0.1.json similarity index 99% rename from pandapower/test/test_files/old_versions/example_2.0.1.json rename to test/test_files/old_versions/example_2.0.1.json index 6ce7cc91a6..01ad567476 100644 --- a/pandapower/test/test_files/old_versions/example_2.0.1.json +++ b/test/test_files/old_versions/example_2.0.1.json @@ -1,5 +1,5 @@ -{ - "_module": "pandapower.auxiliary", - "_class": "pandapowerNet", - "_object": "{\"OPF_converged\":false,\"bus\":{\n \"_module\": \"pandas.core.frame\",\n \"_class\": \"DataFrame\",\n \"_object\": 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0.27,\n \"type\": \"cs\",\n \"q_mm2\": 150,\n \"alpha\": 0.00403\n },\n \"NA2XS2Y 1x95 RM/25 12/20 kV\": {\n \"c_nf_per_km\": 216,\n \"r_ohm_per_km\": 0.313,\n \"x_ohm_per_km\": 0.132,\n \"max_i_ka\": 0.252,\n \"type\": \"cs\",\n \"q_mm2\": 95,\n \"alpha\": 0.00403\n },\n \"NA2XS2Y 1x185 RM/25 12/20 kV\": {\n \"c_nf_per_km\": 273,\n \"r_ohm_per_km\": 0.161,\n \"x_ohm_per_km\": 0.117,\n \"max_i_ka\": 0.362,\n \"type\": \"cs\",\n \"q_mm2\": 185,\n \"alpha\": 0.00403\n },\n \"NA2XS2Y 1x240 RM/25 12/20 kV\": {\n \"c_nf_per_km\": 304,\n \"r_ohm_per_km\": 0.122,\n \"x_ohm_per_km\": 0.112,\n \"max_i_ka\": 0.421,\n \"type\": \"cs\",\n \"q_mm2\": 240,\n \"alpha\": 0.00403\n },\n \"NA2XS2Y 1x95 RM/25 6/10 kV\": {\n \"c_nf_per_km\": 315,\n \"r_ohm_per_km\": 0.313,\n \"x_ohm_per_km\": 0.123,\n \"max_i_ka\": 0.249,\n \"type\": \"cs\",\n \"q_mm2\": 95,\n \"alpha\": 0.00403\n },\n \"NA2XS2Y 1x185 RM/25 6/10 kV\": {\n \"c_nf_per_km\": 406,\n \"r_ohm_per_km\": 0.161,\n \"x_ohm_per_km\": 0.11,\n \"max_i_ka\": 0.358,\n \"type\": \"cs\",\n \"q_mm2\": 185,\n \"alpha\": 0.00403\n },\n \"NA2XS2Y 1x240 RM/25 6/10 kV\": {\n \"c_nf_per_km\": 456,\n \"r_ohm_per_km\": 0.122,\n \"x_ohm_per_km\": 0.105,\n \"max_i_ka\": 0.416,\n \"type\": \"cs\",\n \"q_mm2\": 240,\n \"alpha\": 0.00403\n },\n \"NA2XS2Y 1x150 RM/25 12/20 kV\": {\n \"c_nf_per_km\": 250,\n \"r_ohm_per_km\": 0.206,\n \"x_ohm_per_km\": 0.116,\n \"max_i_ka\": 0.319,\n \"type\": \"cs\",\n \"q_mm2\": 150,\n \"alpha\": 0.00403\n },\n \"NA2XS2Y 1x120 RM/25 12/20 kV\": {\n \"c_nf_per_km\": 230,\n \"r_ohm_per_km\": 0.253,\n \"x_ohm_per_km\": 0.119,\n \"max_i_ka\": 0.283,\n \"type\": \"cs\",\n \"q_mm2\": 120,\n \"alpha\": 0.00403\n },\n \"NA2XS2Y 1x70 RM/25 12/20 kV\": {\n \"c_nf_per_km\": 190,\n \"r_ohm_per_km\": 0.443,\n \"x_ohm_per_km\": 0.132,\n \"max_i_ka\": 0.22,\n \"type\": \"cs\",\n \"q_mm2\": 70,\n \"alpha\": 0.00403\n },\n \"NA2XS2Y 1x150 RM/25 6/10 kV\": {\n \"c_nf_per_km\": 360,\n \"r_ohm_per_km\": 0.206,\n \"x_ohm_per_km\": 0.11,\n \"max_i_ka\": 0.315,\n \"type\": \"cs\",\n \"q_mm2\": 150,\n \"alpha\": 0.00403\n },\n \"NA2XS2Y 1x120 RM/25 6/10 kV\": {\n \"c_nf_per_km\": 340,\n \"r_ohm_per_km\": 0.253,\n \"x_ohm_per_km\": 0.113,\n \"max_i_ka\": 0.28,\n \"type\": \"cs\",\n \"q_mm2\": 120,\n \"alpha\": 0.00403\n },\n \"NA2XS2Y 1x70 RM/25 6/10 kV\": {\n \"c_nf_per_km\": 280,\n \"r_ohm_per_km\": 0.443,\n \"x_ohm_per_km\": 0.123,\n \"max_i_ka\": 0.217,\n \"type\": \"cs\",\n \"q_mm2\": 70,\n \"alpha\": 0.00403\n },\n \"N2XS(FL)2Y 1x120 RM/35 64/110 kV\": {\n \"c_nf_per_km\": 112,\n \"r_ohm_per_km\": 0.153,\n \"x_ohm_per_km\": 0.166,\n \"max_i_ka\": 0.366,\n \"type\": \"cs\",\n \"q_mm2\": 120,\n \"alpha\": 0.00393\n },\n \"N2XS(FL)2Y 1x185 RM/35 64/110 kV\": {\n \"c_nf_per_km\": 125,\n \"r_ohm_per_km\": 0.099,\n \"x_ohm_per_km\": 0.156,\n \"max_i_ka\": 0.457,\n \"type\": \"cs\",\n \"q_mm2\": 185,\n \"alpha\": 0.00393\n },\n \"N2XS(FL)2Y 1x240 RM/35 64/110 kV\": {\n \"c_nf_per_km\": 135,\n \"r_ohm_per_km\": 0.075,\n \"x_ohm_per_km\": 0.149,\n \"max_i_ka\": 0.526,\n \"type\": \"cs\",\n \"q_mm2\": 240,\n \"alpha\": 0.00393\n },\n \"N2XS(FL)2Y 1x300 RM/35 64/110 kV\": {\n \"c_nf_per_km\": 144,\n \"r_ohm_per_km\": 0.06,\n \"x_ohm_per_km\": 0.144,\n \"max_i_ka\": 0.588,\n \"type\": \"cs\",\n \"q_mm2\": 300,\n \"alpha\": 0.00393\n },\n \"15-AL1/3-ST1A 0.4\": {\n \"c_nf_per_km\": 11,\n \"r_ohm_per_km\": 1.8769,\n \"x_ohm_per_km\": 0.35,\n \"max_i_ka\": 0.105,\n \"type\": \"ol\",\n \"q_mm2\": 16,\n \"alpha\": 0.00403\n },\n \"24-AL1/4-ST1A 0.4\": {\n \"c_nf_per_km\": 11.25,\n \"r_ohm_per_km\": 1.2012,\n \"x_ohm_per_km\": 0.335,\n \"max_i_ka\": 0.14,\n \"type\": \"ol\",\n \"q_mm2\": 24,\n \"alpha\": 0.00403\n },\n \"48-AL1/8-ST1A 0.4\": {\n \"c_nf_per_km\": 12.2,\n \"r_ohm_per_km\": 0.5939,\n \"x_ohm_per_km\": 0.3,\n \"max_i_ka\": 0.21,\n \"type\": \"ol\",\n \"q_mm2\": 48,\n \"alpha\": 0.00403\n },\n \"94-AL1/15-ST1A 0.4\": {\n \"c_nf_per_km\": 13.2,\n \"r_ohm_per_km\": 0.306,\n \"x_ohm_per_km\": 0.29,\n \"max_i_ka\": 0.35,\n \"type\": \"ol\",\n \"q_mm2\": 94,\n \"alpha\": 0.00403\n },\n \"34-AL1/6-ST1A 10.0\": {\n \"c_nf_per_km\": 9.7,\n \"r_ohm_per_km\": 0.8342,\n \"x_ohm_per_km\": 0.36,\n \"max_i_ka\": 0.17,\n \"type\": \"ol\",\n \"q_mm2\": 34,\n \"alpha\": 0.00403\n },\n \"48-AL1/8-ST1A 10.0\": {\n \"c_nf_per_km\": 10.1,\n \"r_ohm_per_km\": 0.5939,\n \"x_ohm_per_km\": 0.35,\n \"max_i_ka\": 0.21,\n \"type\": \"ol\",\n \"q_mm2\": 48,\n \"alpha\": 0.00403\n },\n \"70-AL1/11-ST1A 10.0\": {\n \"c_nf_per_km\": 10.4,\n \"r_ohm_per_km\": 0.4132,\n \"x_ohm_per_km\": 0.339,\n \"max_i_ka\": 0.29,\n \"type\": \"ol\",\n \"q_mm2\": 70,\n \"alpha\": 0.00403\n },\n \"94-AL1/15-ST1A 10.0\": {\n \"c_nf_per_km\": 10.75,\n \"r_ohm_per_km\": 0.306,\n \"x_ohm_per_km\": 0.33,\n \"max_i_ka\": 0.35,\n \"type\": \"ol\",\n \"q_mm2\": 94,\n \"alpha\": 0.00403\n },\n \"122-AL1/20-ST1A 10.0\": {\n \"c_nf_per_km\": 11.1,\n \"r_ohm_per_km\": 0.2376,\n \"x_ohm_per_km\": 0.323,\n \"max_i_ka\": 0.41,\n \"type\": \"ol\",\n \"q_mm2\": 122,\n \"alpha\": 0.00403\n },\n \"149-AL1/24-ST1A 10.0\": {\n \"c_nf_per_km\": 11.25,\n \"r_ohm_per_km\": 0.194,\n \"x_ohm_per_km\": 0.315,\n \"max_i_ka\": 0.47,\n \"type\": \"ol\",\n \"q_mm2\": 149,\n \"alpha\": 0.00403\n },\n \"34-AL1/6-ST1A 20.0\": {\n \"c_nf_per_km\": 9.15,\n \"r_ohm_per_km\": 0.8342,\n \"x_ohm_per_km\": 0.382,\n \"max_i_ka\": 0.17,\n \"type\": \"ol\",\n \"q_mm2\": 34,\n \"alpha\": 0.00403\n },\n \"48-AL1/8-ST1A 20.0\": {\n \"c_nf_per_km\": 9.5,\n \"r_ohm_per_km\": 0.5939,\n \"x_ohm_per_km\": 0.372,\n \"max_i_ka\": 0.21,\n \"type\": \"ol\",\n \"q_mm2\": 48,\n \"alpha\": 0.00403\n },\n \"70-AL1/11-ST1A 20.0\": {\n \"c_nf_per_km\": 9.7,\n \"r_ohm_per_km\": 0.4132,\n \"x_ohm_per_km\": 0.36,\n \"max_i_ka\": 0.29,\n \"type\": \"ol\",\n \"q_mm2\": 70,\n \"alpha\": 0.00403\n },\n \"94-AL1/15-ST1A 20.0\": {\n \"c_nf_per_km\": 10,\n \"r_ohm_per_km\": 0.306,\n \"x_ohm_per_km\": 0.35,\n \"max_i_ka\": 0.35,\n \"type\": \"ol\",\n \"q_mm2\": 94,\n \"alpha\": 0.00403\n },\n \"122-AL1/20-ST1A 20.0\": {\n \"c_nf_per_km\": 10.3,\n \"r_ohm_per_km\": 0.2376,\n \"x_ohm_per_km\": 0.344,\n \"max_i_ka\": 0.41,\n \"type\": \"ol\",\n \"q_mm2\": 122,\n \"alpha\": 0.00403\n },\n \"149-AL1/24-ST1A 20.0\": {\n \"c_nf_per_km\": 10.5,\n \"r_ohm_per_km\": 0.194,\n \"x_ohm_per_km\": 0.337,\n \"max_i_ka\": 0.47,\n \"type\": \"ol\",\n \"q_mm2\": 149,\n \"alpha\": 0.00403\n },\n \"184-AL1/30-ST1A 20.0\": {\n \"c_nf_per_km\": 10.75,\n \"r_ohm_per_km\": 0.1571,\n \"x_ohm_per_km\": 0.33,\n \"max_i_ka\": 0.535,\n \"type\": \"ol\",\n \"q_mm2\": 184,\n \"alpha\": 0.00403\n },\n \"243-AL1/39-ST1A 20.0\": {\n \"c_nf_per_km\": 11,\n \"r_ohm_per_km\": 0.1188,\n \"x_ohm_per_km\": 0.32,\n \"max_i_ka\": 0.645,\n \"type\": \"ol\",\n \"q_mm2\": 243,\n \"alpha\": 0.00403\n },\n \"149-AL1/24-ST1A 110.0\": {\n \"c_nf_per_km\": 8.75,\n \"r_ohm_per_km\": 0.194,\n \"x_ohm_per_km\": 0.41,\n \"max_i_ka\": 0.47,\n \"type\": \"ol\",\n \"q_mm2\": 149,\n \"alpha\": 0.00403\n },\n \"184-AL1/30-ST1A 110.0\": {\n \"c_nf_per_km\": 8.8,\n \"r_ohm_per_km\": 0.1571,\n \"x_ohm_per_km\": 0.4,\n \"max_i_ka\": 0.535,\n \"type\": \"ol\",\n \"q_mm2\": 184,\n \"alpha\": 0.00403\n },\n \"243-AL1/39-ST1A 110.0\": {\n \"c_nf_per_km\": 9,\n \"r_ohm_per_km\": 0.1188,\n \"x_ohm_per_km\": 0.39,\n \"max_i_ka\": 0.645,\n \"type\": \"ol\",\n \"q_mm2\": 243,\n \"alpha\": 0.00403\n },\n \"305-AL1/39-ST1A 110.0\": {\n \"c_nf_per_km\": 9.2,\n \"r_ohm_per_km\": 0.0949,\n \"x_ohm_per_km\": 0.38,\n \"max_i_ka\": 0.74,\n \"type\": \"ol\",\n \"q_mm2\": 305,\n \"alpha\": 0.00403\n },\n \"490-AL1/64-ST1A 220.0\": {\n \"c_nf_per_km\": 10,\n \"r_ohm_per_km\": 0.059,\n \"x_ohm_per_km\": 0.285,\n \"max_i_ka\": 0.96,\n \"type\": \"ol\",\n \"q_mm2\": 490,\n \"alpha\": 0.00403\n },\n \"490-AL1/64-ST1A 380.0\": {\n \"c_nf_per_km\": 11,\n \"r_ohm_per_km\": 0.059,\n \"x_ohm_per_km\": 0.253,\n \"max_i_ka\": 0.96,\n \"type\": \"ol\",\n \"q_mm2\": 490,\n \"alpha\": 0.00403\n }\n },\n \"trafo\": {\n \"160 MVA 380/110 kV\": {\n \"i0_percent\": 0.06,\n \"pfe_kw\": 60,\n \"vkr_percent\": 0.25,\n \"sn_mva\": 160,\n \"vn_lv_kv\": 110.0,\n \"vn_hv_kv\": 380.0,\n \"vk_percent\": 12.2,\n \"shift_degree\": 0,\n \"vector_group\": \"Yy0\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -9,\n \"tap_max\": 9,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 1.5,\n \"tap_phase_shifter\": false\n },\n \"100 MVA 220/110 kV\": {\n \"i0_percent\": 0.06,\n \"pfe_kw\": 55,\n \"vkr_percent\": 0.26,\n \"sn_mva\": 100,\n \"vn_lv_kv\": 110.0,\n \"vn_hv_kv\": 220.0,\n \"vk_percent\": 12.0,\n \"shift_degree\": 0,\n \"vector_group\": \"Yy0\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -9,\n \"tap_max\": 9,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 1.5,\n \"tap_phase_shifter\": false\n },\n \"63 MVA 110/20 kV\": {\n \"i0_percent\": 0.04,\n \"pfe_kw\": 22,\n \"vkr_percent\": 0.32,\n \"sn_mva\": 63,\n \"vn_lv_kv\": 20.0,\n \"vn_hv_kv\": 110.0,\n \"vk_percent\": 18,\n \"shift_degree\": 150,\n \"vector_group\": \"YNd5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -9,\n \"tap_max\": 9,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 1.5,\n \"tap_phase_shifter\": false\n },\n \"40 MVA 110/20 kV\": {\n \"i0_percent\": 0.05,\n \"pfe_kw\": 18,\n \"vkr_percent\": 0.34,\n \"sn_mva\": 40,\n \"vn_lv_kv\": 20.0,\n \"vn_hv_kv\": 110.0,\n \"vk_percent\": 16.2,\n \"shift_degree\": 150,\n \"vector_group\": \"YNd5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -9,\n \"tap_max\": 9,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 1.5,\n \"tap_phase_shifter\": false\n },\n \"25 MVA 110/20 kV\": {\n \"i0_percent\": 0.07,\n \"pfe_kw\": 14,\n \"vkr_percent\": 0.41,\n \"sn_mva\": 25,\n \"vn_lv_kv\": 20.0,\n \"vn_hv_kv\": 110.0,\n \"vk_percent\": 12,\n \"shift_degree\": 150,\n \"vector_group\": \"YNd5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -9,\n \"tap_max\": 9,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 1.5,\n \"tap_phase_shifter\": false\n },\n \"63 MVA 110/10 kV\": {\n \"sn_mva\": 63,\n \"vn_hv_kv\": 110,\n \"vn_lv_kv\": 10,\n \"vk_percent\": 18,\n \"vkr_percent\": 0.32,\n \"pfe_kw\": 22,\n \"i0_percent\": 0.04,\n \"shift_degree\": 150,\n \"vector_group\": \"YNd5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -9,\n \"tap_max\": 9,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 1.5,\n \"tap_phase_shifter\": false\n },\n \"40 MVA 110/10 kV\": {\n \"sn_mva\": 40,\n \"vn_hv_kv\": 110,\n \"vn_lv_kv\": 10,\n \"vk_percent\": 16.2,\n \"vkr_percent\": 0.34,\n \"pfe_kw\": 18,\n \"i0_percent\": 0.05,\n \"shift_degree\": 150,\n \"vector_group\": \"YNd5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -9,\n \"tap_max\": 9,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 1.5,\n \"tap_phase_shifter\": false\n },\n \"25 MVA 110/10 kV\": {\n \"sn_mva\": 25,\n \"vn_hv_kv\": 110,\n \"vn_lv_kv\": 10,\n \"vk_percent\": 12,\n \"vkr_percent\": 0.41,\n \"pfe_kw\": 14,\n \"i0_percent\": 0.07,\n \"shift_degree\": 150,\n \"vector_group\": \"YNd5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -9,\n \"tap_max\": 9,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 1.5,\n \"tap_phase_shifter\": false\n },\n \"0.25 MVA 20/0.4 kV\": {\n \"sn_mva\": 0.25,\n \"vn_hv_kv\": 20,\n \"vn_lv_kv\": 0.4,\n \"vk_percent\": 6,\n \"vkr_percent\": 1.44,\n \"pfe_kw\": 0.8,\n \"i0_percent\": 0.32,\n \"shift_degree\": 150,\n \"vector_group\": \"Yzn5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -2,\n \"tap_max\": 2,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 2.5,\n \"tap_phase_shifter\": false\n },\n \"0.4 MVA 20/0.4 kV\": {\n \"sn_mva\": 0.4,\n \"vn_hv_kv\": 20,\n \"vn_lv_kv\": 0.4,\n \"vk_percent\": 6,\n \"vkr_percent\": 1.425,\n \"pfe_kw\": 1.35,\n \"i0_percent\": 0.3375,\n \"shift_degree\": 150,\n \"vector_group\": \"Dyn5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -2,\n \"tap_max\": 2,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 2.5,\n \"tap_phase_shifter\": false\n },\n \"0.63 MVA 20/0.4 kV\": {\n \"sn_mva\": 0.63,\n \"vn_hv_kv\": 20,\n \"vn_lv_kv\": 0.4,\n \"vk_percent\": 6,\n \"vkr_percent\": 1.206,\n \"pfe_kw\": 1.65,\n \"i0_percent\": 0.2619,\n \"shift_degree\": 150,\n \"vector_group\": \"Dyn5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -2,\n \"tap_max\": 2,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 2.5,\n \"tap_phase_shifter\": false\n },\n \"0.25 MVA 10/0.4 kV\": {\n \"sn_mva\": 0.25,\n \"vn_hv_kv\": 10,\n \"vn_lv_kv\": 0.4,\n \"vk_percent\": 4,\n \"vkr_percent\": 1.2,\n \"pfe_kw\": 0.6,\n \"i0_percent\": 0.24,\n \"shift_degree\": 150,\n \"vector_group\": \"Dyn5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -2,\n \"tap_max\": 2,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 2.5,\n \"tap_phase_shifter\": false\n },\n \"0.4 MVA 10/0.4 kV\": {\n \"sn_mva\": 0.4,\n \"vn_hv_kv\": 10,\n \"vn_lv_kv\": 0.4,\n \"vk_percent\": 4,\n \"vkr_percent\": 1.325,\n \"pfe_kw\": 0.95,\n \"i0_percent\": 0.2375,\n \"shift_degree\": 150,\n \"vector_group\": \"Dyn5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -2,\n \"tap_max\": 2,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 2.5,\n \"tap_phase_shifter\": false\n },\n \"0.63 MVA 10/0.4 kV\": {\n \"sn_mva\": 0.63,\n \"vn_hv_kv\": 10,\n \"vn_lv_kv\": 0.4,\n \"vk_percent\": 4,\n \"vkr_percent\": 1.0794,\n \"pfe_kw\": 1.18,\n \"i0_percent\": 0.1873,\n \"shift_degree\": 150,\n \"vector_group\": \"Dyn5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -2,\n \"tap_max\": 2,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 2.5,\n \"tap_phase_shifter\": false\n }\n },\n \"trafo3w\": {\n \"63/25/38 MVA 110/20/10 kV\": {\n \"sn_hv_mva\": 63,\n \"sn_mv_mva\": 25,\n \"sn_lv_mva\": 38,\n \"vn_hv_kv\": 110,\n \"vn_mv_kv\": 20,\n \"vn_lv_kv\": 10,\n \"vk_hv_percent\": 10.4,\n \"vk_mv_percent\": 10.4,\n \"vk_lv_percent\": 10.4,\n 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0.41,\n \"pfe_kw\": 14,\n \"i0_percent\": 0.07,\n \"shift_degree\": 150,\n \"vector_group\": \"YNd5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -9,\n \"tap_max\": 9,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 1.5,\n \"tap_phase_shifter\": false\n },\n \"0.25 MVA 20/0.4 kV\": {\n \"sn_mva\": 0.25,\n \"vn_hv_kv\": 20,\n \"vn_lv_kv\": 0.4,\n \"vk_percent\": 6,\n \"vkr_percent\": 1.44,\n \"pfe_kw\": 0.8,\n \"i0_percent\": 0.32,\n \"shift_degree\": 150,\n \"vector_group\": \"Yzn5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -2,\n \"tap_max\": 2,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 2.5,\n \"tap_phase_shifter\": false\n },\n \"0.4 MVA 20/0.4 kV\": {\n \"sn_mva\": 0.4,\n \"vn_hv_kv\": 20,\n \"vn_lv_kv\": 0.4,\n \"vk_percent\": 6,\n \"vkr_percent\": 1.425,\n \"pfe_kw\": 1.35,\n \"i0_percent\": 0.3375,\n \"shift_degree\": 150,\n \"vector_group\": \"Dyn5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -2,\n \"tap_max\": 2,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 2.5,\n \"tap_phase_shifter\": false\n },\n \"0.63 MVA 20/0.4 kV\": {\n \"sn_mva\": 0.63,\n \"vn_hv_kv\": 20,\n \"vn_lv_kv\": 0.4,\n \"vk_percent\": 6,\n \"vkr_percent\": 1.206,\n \"pfe_kw\": 1.65,\n \"i0_percent\": 0.2619,\n \"shift_degree\": 150,\n \"vector_group\": \"Dyn5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -2,\n \"tap_max\": 2,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 2.5,\n \"tap_phase_shifter\": false\n },\n \"0.25 MVA 10/0.4 kV\": {\n \"sn_mva\": 0.25,\n \"vn_hv_kv\": 10,\n \"vn_lv_kv\": 0.4,\n \"vk_percent\": 4,\n \"vkr_percent\": 1.2,\n \"pfe_kw\": 0.6,\n \"i0_percent\": 0.24,\n \"shift_degree\": 150,\n \"vector_group\": \"Dyn5\",\n \"tap_side\": \"hv\",\n \"tap_neutral\": 0,\n \"tap_min\": -2,\n \"tap_max\": 2,\n \"tap_step_degree\": 0,\n \"tap_step_percent\": 2.5,\n \"tap_phase_shifter\": false\n },\n \"0.4 MVA 10/0.4 kV\": {\n \"sn_mva\": 0.4,\n \"vn_hv_kv\": 10,\n \"vn_lv_kv\": 0.4,\n 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\"{\\\"columns\\\":[\\\"name\\\",\\\"std_type\\\",\\\"hv_bus\\\",\\\"lv_bus\\\",\\\"sn_mva\\\",\\\"vn_hv_kv\\\",\\\"vn_lv_kv\\\",\\\"vk_percent\\\",\\\"vkr_percent\\\",\\\"pfe_kw\\\",\\\"i0_percent\\\",\\\"shift_degree\\\",\\\"tap_side\\\",\\\"tap_neutral\\\",\\\"tap_min\\\",\\\"tap_max\\\",\\\"tap_step_percent\\\",\\\"tap_step_degree\\\",\\\"tap_pos\\\",\\\"tap_phase_shifter\\\",\\\"parallel\\\",\\\"df\\\",\\\"in_service\\\"],\\\"index\\\":[0,1],\\\"data\\\":[[\\\"EHV-HV-Trafo\\\",null,13,17,300.0,380.0,110.0,8.0,0.06,0.0,0.0,0.0,null,null,null,null,null,null,0,false,1,1.0,true],[\\\"MV-LV-Trafo\\\",null,41,45,0.4,10.0,0.4,4.0,1.325,0.95,0.2375,150.0,\\\"hv\\\",0.0,-2.0,2.0,2.5,null,0,false,1,1.0,true]]}\",\n \"dtype\": {\n \"name\": \"object\",\n \"std_type\": \"object\",\n \"hv_bus\": \"uint32\",\n \"lv_bus\": \"uint32\",\n \"sn_mva\": \"float64\",\n \"vn_hv_kv\": \"float64\",\n \"vn_lv_kv\": \"float64\",\n \"vk_percent\": \"float64\",\n \"vkr_percent\": \"float64\",\n \"pfe_kw\": \"float64\",\n \"i0_percent\": \"float64\",\n \"shift_degree\": \"float64\",\n \"tap_side\": \"object\",\n \"tap_neutral\": \"float64\",\n \"tap_min\": \"float64\",\n \"tap_max\": \"float64\",\n \"tap_step_percent\": \"float64\",\n \"tap_step_degree\": \"float64\",\n \"tap_pos\": \"int32\",\n \"tap_phase_shifter\": \"bool\",\n \"parallel\": \"uint32\",\n \"df\": \"float64\",\n \"in_service\": \"bool\"\n },\n \"orient\": \"split\"\n},\"trafo3w\":{\n \"_module\": \"pandas.core.frame\",\n \"_class\": \"DataFrame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"std_type\\\",\\\"hv_bus\\\",\\\"mv_bus\\\",\\\"lv_bus\\\",\\\"sn_hv_mva\\\",\\\"sn_mv_mva\\\",\\\"sn_lv_mva\\\",\\\"vn_hv_kv\\\",\\\"vn_mv_kv\\\",\\\"vn_lv_kv\\\",\\\"vk_hv_percent\\\",\\\"vk_mv_percent\\\",\\\"vk_lv_percent\\\",\\\"vkr_hv_percent\\\",\\\"vkr_mv_percent\\\",\\\"vkr_lv_percent\\\",\\\"pfe_kw\\\",\\\"i0_percent\\\",\\\"shift_mv_degree\\\",\\\"shift_lv_degree\\\",\\\"tap_side\\\",\\\"tap_neutral\\\",\\\"tap_min\\\",\\\"tap_max\\\",\\\"tap_step_percent\\\",\\\"tap_step_degree\\\",\\\"tap_pos\\\",\\\"tap_at_star_point\\\",\\\"in_service\\\"],\\\"index\\\":[0],\\\"data\\\":[[\\\"HV-MV-MV-Trafo\\\",null,33,36,37,40.0,15.0,25.0,110.0,20.0,10.0,10.1,10.1,10.1,0.266667,0.033333,0.04,0.0,0.0,30.0,30.0,\\\"hv\\\",0,-8,8,1.25,null,0,false,true]]}\",\n \"dtype\": {\n \"name\": \"object\",\n \"std_type\": \"object\",\n \"hv_bus\": \"uint32\",\n \"mv_bus\": \"uint32\",\n \"lv_bus\": \"uint32\",\n \"sn_hv_mva\": \"float64\",\n \"sn_mv_mva\": \"float64\",\n \"sn_lv_mva\": \"float64\",\n \"vn_hv_kv\": \"float64\",\n \"vn_mv_kv\": \"float64\",\n \"vn_lv_kv\": \"float64\",\n \"vk_hv_percent\": \"float64\",\n \"vk_mv_percent\": \"float64\",\n \"vk_lv_percent\": \"float64\",\n \"vkr_hv_percent\": \"float64\",\n \"vkr_mv_percent\": \"float64\",\n \"vkr_lv_percent\": \"float64\",\n \"pfe_kw\": \"float64\",\n \"i0_percent\": \"float64\",\n \"shift_mv_degree\": \"float64\",\n \"shift_lv_degree\": \"float64\",\n \"tap_side\": \"object\",\n \"tap_neutral\": \"int32\",\n \"tap_min\": \"int32\",\n \"tap_max\": \"int32\",\n \"tap_step_percent\": \"float64\",\n \"tap_step_degree\": \"float64\",\n \"tap_pos\": \"int32\",\n \"tap_at_star_point\": \"bool\",\n \"in_service\": \"bool\"\n },\n \"orient\": \"split\"\n},\"user_pf_options\":{},\"version\":\"2.0.1\",\"ward\":{\n \"_module\": \"pandas.core.frame\",\n \"_class\": \"DataFrame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"bus\\\",\\\"ps_mw\\\",\\\"qs_mvar\\\",\\\"qz_mvar\\\",\\\"pz_mw\\\",\\\"in_service\\\"],\\\"index\\\":[],\\\"data\\\":[]}\",\n \"dtype\": {\n \"name\": \"object\",\n \"bus\": \"uint32\",\n \"ps_mw\": \"float64\",\n \"qs_mvar\": \"float64\",\n \"qz_mvar\": \"float64\",\n \"pz_mw\": \"float64\",\n \"in_service\": \"bool\"\n },\n \"orient\": \"split\"\n},\"xward\":{\n \"_module\": \"pandas.core.frame\",\n \"_class\": \"DataFrame\",\n \"_object\": \"{\\\"columns\\\":[\\\"name\\\",\\\"bus\\\",\\\"ps_mw\\\",\\\"qs_mvar\\\",\\\"qz_mvar\\\",\\\"pz_mw\\\",\\\"r_ohm\\\",\\\"x_ohm\\\",\\\"vm_pu\\\",\\\"in_service\\\"],\\\"index\\\":[0,1],\\\"data\\\":[[\\\"XWard 1\\\",34,23.942,-12.24187,0.0,2.814571,0.0,12.18951,1.02616,true],[\\\"XWard 2\\\",32,3.776,-7.769979,0.0,9.174917000000001,0.0,50.562170000000002,1.024001,true]]}\",\n \"dtype\": {\n \"name\": \"object\",\n \"bus\": \"uint32\",\n \"ps_mw\": \"float64\",\n \"qs_mvar\": \"float64\",\n \"qz_mvar\": \"float64\",\n \"pz_mw\": \"float64\",\n \"r_ohm\": \"float64\",\n \"x_ohm\": \"float64\",\n \"vm_pu\": \"float64\",\n \"in_service\": \"bool\"\n },\n \"orient\": \"split\"\n}}\n" } \ No newline at end of file diff --git a/pandapower/test/test_files/old_versions/example_2.1.0.json b/test/test_files/old_versions/example_2.1.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.1.0.json rename to test/test_files/old_versions/example_2.1.0.json diff --git a/pandapower/test/test_files/old_versions/example_2.10.0.json b/test/test_files/old_versions/example_2.10.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.10.0.json rename to test/test_files/old_versions/example_2.10.0.json diff --git a/pandapower/test/test_files/old_versions/example_2.10.1.json b/test/test_files/old_versions/example_2.10.1.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.10.1.json rename to test/test_files/old_versions/example_2.10.1.json diff --git a/pandapower/test/test_files/old_versions/example_2.11.0.json b/test/test_files/old_versions/example_2.11.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.11.0.json rename to test/test_files/old_versions/example_2.11.0.json diff --git a/pandapower/test/test_files/old_versions/example_2.11.1.json b/test/test_files/old_versions/example_2.11.1.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.11.1.json rename to test/test_files/old_versions/example_2.11.1.json diff --git a/pandapower/test/test_files/old_versions/example_2.12.0.json b/test/test_files/old_versions/example_2.12.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.12.0.json rename to test/test_files/old_versions/example_2.12.0.json diff --git a/pandapower/test/test_files/old_versions/example_2.12.1.json b/test/test_files/old_versions/example_2.12.1.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.12.1.json rename to test/test_files/old_versions/example_2.12.1.json diff --git a/pandapower/test/test_files/old_versions/example_2.13.0.1.json b/test/test_files/old_versions/example_2.13.0.1.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.13.0.1.json rename to test/test_files/old_versions/example_2.13.0.1.json diff --git a/pandapower/test/test_files/old_versions/example_2.13.0.json b/test/test_files/old_versions/example_2.13.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.13.0.json rename to test/test_files/old_versions/example_2.13.0.json diff --git a/pandapower/test/test_files/old_versions/example_2.14.0.json b/test/test_files/old_versions/example_2.14.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.14.0.json rename to test/test_files/old_versions/example_2.14.0.json diff --git a/pandapower/test/test_files/old_versions/example_2.14.11.json b/test/test_files/old_versions/example_2.14.11.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.14.11.json rename to test/test_files/old_versions/example_2.14.11.json diff --git a/pandapower/test/test_files/old_versions/example_2.2.0.json b/test/test_files/old_versions/example_2.2.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.2.0.json rename to test/test_files/old_versions/example_2.2.0.json diff --git a/pandapower/test/test_files/old_versions/example_2.3.0.json b/test/test_files/old_versions/example_2.3.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.3.0.json rename to test/test_files/old_versions/example_2.3.0.json diff --git a/pandapower/test/test_files/old_versions/example_2.3.1.json b/test/test_files/old_versions/example_2.3.1.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.3.1.json rename to test/test_files/old_versions/example_2.3.1.json diff --git a/pandapower/test/test_files/old_versions/example_2.4.0.json b/test/test_files/old_versions/example_2.4.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.4.0.json rename to test/test_files/old_versions/example_2.4.0.json diff --git a/pandapower/test/test_files/old_versions/example_2.5.0.json b/test/test_files/old_versions/example_2.5.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.5.0.json rename to test/test_files/old_versions/example_2.5.0.json diff --git a/pandapower/test/test_files/old_versions/example_2.6.0.json b/test/test_files/old_versions/example_2.6.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.6.0.json rename to test/test_files/old_versions/example_2.6.0.json diff --git a/pandapower/test/test_files/old_versions/example_2.7.0.json b/test/test_files/old_versions/example_2.7.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.7.0.json rename to test/test_files/old_versions/example_2.7.0.json diff --git a/pandapower/test/test_files/old_versions/example_2.8.0.json b/test/test_files/old_versions/example_2.8.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.8.0.json rename to test/test_files/old_versions/example_2.8.0.json diff --git a/pandapower/test/test_files/old_versions/example_2.9.0.json b/test/test_files/old_versions/example_2.9.0.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_2.9.0.json rename to test/test_files/old_versions/example_2.9.0.json diff --git a/pandapower/test/test_files/old_versions/example_3.1.2.json b/test/test_files/old_versions/example_3.1.2.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_3.1.2.json rename to test/test_files/old_versions/example_3.1.2.json diff --git a/pandapower/test/test_files/old_versions/example_3.1.2_capability.json b/test/test_files/old_versions/example_3.1.2_capability.json similarity index 100% rename from pandapower/test/test_files/old_versions/example_3.1.2_capability.json rename to test/test_files/old_versions/example_3.1.2_capability.json diff --git a/pandapower/test/test_files/pm_example_res.json b/test/test_files/pm_example_res.json similarity index 100% rename from pandapower/test/test_files/pm_example_res.json rename to test/test_files/pm_example_res.json diff --git a/pandapower/test/test_files/run_powermodels_custom.jl b/test/test_files/run_powermodels_custom.jl similarity index 96% rename from pandapower/test/test_files/run_powermodels_custom.jl rename to test/test_files/run_powermodels_custom.jl index a0489a2bd9..1f7023533e 100644 --- a/pandapower/test/test_files/run_powermodels_custom.jl +++ b/test/test_files/run_powermodels_custom.jl @@ -1,13 +1,13 @@ -using PowerModels -using Ipopt -using JuMP -using .PP2PM - -function run_powermodels(json_path) - pm = PP2PM.load_pm_from_json(json_path) - PowerModels.correct_network_data!(pm) - ipopt_solver = JuMP.with_optimizer(Ipopt.Optimizer, print_level=0) - result = PowerModels.run_ac_opf(pm, ipopt_solver, - setting = Dict("output" => Dict("branch_flows" => true))) - return result -end +using PowerModels +using Ipopt +using JuMP +using .PP2PM + +function run_powermodels(json_path) + pm = PP2PM.load_pm_from_json(json_path) + PowerModels.correct_network_data!(pm) + ipopt_solver = JuMP.with_optimizer(Ipopt.Optimizer, print_level=0) + result = PowerModels.run_ac_opf(pm, ipopt_solver, + setting = Dict("output" => Dict("branch_flows" => true))) + return result +end diff --git a/pandapower/test/test_files/save_version.py b/test/test_files/save_version.py similarity index 97% rename from pandapower/test/test_files/save_version.py rename to test/test_files/save_version.py index 504d3e54eb..c0462fe4c8 100644 --- a/pandapower/test/test_files/save_version.py +++ b/test/test_files/save_version.py @@ -1,17 +1,17 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import os - -from pandapower import __version__ as pp_version -from pandapower.control.controller.trafo import DiscreteTapControl -from pandapower.control.util.auxiliary import create_trafo_characteristics -from pandapower.file_io import to_json -from pandapower.networks.create_examples import example_multivoltage -from pandapower.run import runpp - -net = example_multivoltage() -DiscreteTapControl(net, 1, 1.02, 1.03) -create_trafo_characteristics(net, "trafo", 1, "vk_percent", [-2, 0, 2], [3.5, 4, 4.5]) -runpp(net, run_control=True) -to_json(net, os.path.join("old_versions", "example_%s.json" % pp_version)) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import os + +from pandapower import __version__ as pp_version +from pandapower.control.controller.trafo import DiscreteTapControl +from pandapower.control.util.auxiliary import create_trafo_characteristics +from pandapower.file_io import to_json +from pandapower.networks.create_examples import example_multivoltage +from pandapower.run import runpp + +net = example_multivoltage() +DiscreteTapControl(net, 1, 1.02, 1.03) +create_trafo_characteristics(net, "trafo", 1, "vk_percent", [-2, 0, 2], [3.5, 4, 4.5]) +runpp(net, run_control=True) +to_json(net, os.path.join("old_versions", "example_%s.json" % pp_version)) diff --git a/pandapower/test/test_files/sc_test.pfd b/test/test_files/sc_test.pfd similarity index 100% rename from pandapower/test/test_files/sc_test.pfd rename to test/test_files/sc_test.pfd diff --git a/pandapower/test/test_files/sc_test_meshed_grid.pfd b/test/test_files/sc_test_meshed_grid.pfd similarity index 100% rename from pandapower/test/test_files/sc_test_meshed_grid.pfd rename to test/test_files/sc_test_meshed_grid.pfd diff --git a/pandapower/test/test_files/tdpf/case30_branch_details.csv b/test/test_files/tdpf/case30_branch_details.csv similarity index 100% rename from pandapower/test/test_files/tdpf/case30_branch_details.csv rename to test/test_files/tdpf/case30_branch_details.csv diff --git a/pandapower/test/test_files/test_3ph.pfd b/test/test_files/test_3ph.pfd similarity index 100% rename from pandapower/test/test_files/test_3ph.pfd rename to test/test_files/test_3ph.pfd diff --git a/pandapower/test/test_files/test_ac_dc.json b/test/test_files/test_ac_dc.json similarity index 100% rename from pandapower/test/test_files/test_ac_dc.json rename to test/test_files/test_ac_dc.json diff --git a/pandapower/test/test_files/test_results.pfd b/test/test_files/test_results.pfd similarity index 100% rename from pandapower/test/test_files/test_results.pfd rename to test/test_files/test_results.pfd diff --git a/pandapower/test/test_files/test_results.sin b/test/test_files/test_results.sin similarity index 100% rename from pandapower/test/test_files/test_results.sin rename to test/test_files/test_results.sin diff --git a/pandapower/test/test_files/test_results_files/LF.001.html b/test/test_files/test_results_files/LF.001.html similarity index 96% rename from pandapower/test/test_files/test_results_files/LF.001.html rename to test/test_files/test_results_files/LF.001.html index 06b3b189c1..2510730316 100644 --- a/pandapower/test/test_files/test_results_files/LF.001.html +++ b/test/test_files/test_results_files/LF.001.html @@ -1,197 +1,197 @@ - - -Lastfluss - -

Lastfluss

- - - - - - - - - - - - - - - - - - - -
Netznametest_results
Variante
BerechnungsparameterLF
BerechnungszeitpunktThu Dec 15 2016, 18:31:02
ProgrammversionPSS SINCAL Platform 12.0 Update3

Simulation log

Initializing

-

Initialize electro calculation...

-

Initialize done!

-

Loading

-Load electro database  [expand] - -

Loading succeeded!

-

Calculation

-Lastfluss  [expand] - -

Calculation done!

-

Storing

-Store results  [expand] - -

Storing done!

- + + +Lastfluss + +

Lastfluss

+ + + + + + + + + + + + + + + + + + + +
Netznametest_results
Variante
BerechnungsparameterLF
BerechnungszeitpunktThu Dec 15 2016, 18:31:02
ProgrammversionPSS SINCAL Platform 12.0 Update3

Simulation log

Initializing

+

Initialize electro calculation...

+

Initialize done!

+

Loading

+Load electro database  [expand] + +

Loading succeeded!

+

Calculation

+Lastfluss  [expand] + +

Calculation done!

+

Storing

+Store results  [expand] + +

Storing done!

+ \ No newline at end of file diff --git a/pandapower/test/test_files/test_results_files/database.001.dia b/test/test_files/test_results_files/database.001.dia similarity index 100% rename from pandapower/test/test_files/test_results_files/database.001.dia rename to test/test_files/test_results_files/database.001.dia diff --git a/test/test_files/test_results_files/database.ini b/test/test_files/test_results_files/database.ini new file mode 100644 index 0000000000..66df47d46d --- /dev/null +++ b/test/test_files/test_results_files/database.ini @@ -0,0 +1,6 @@ +[Config] +DisableStdDocHandling=0 +[Exclude] +[Database] +MODE=JET +FILE=D:\Python\pandapower\test\test_files\test_results_files\database.mdb diff --git a/pandapower/test/test_files/test_results_files/database.mdb b/test/test_files/test_results_files/database.mdb similarity index 100% rename from pandapower/test/test_files/test_results_files/database.mdb rename to test/test_files/test_results_files/database.mdb diff --git a/pandapower/test/test_files/test_results_files/trafo_3w_tap_results.csv b/test/test_files/test_results_files/trafo_3w_tap_results.csv similarity index 100% rename from pandapower/test/test_files/test_results_files/trafo_3w_tap_results.csv rename to test/test_files/test_results_files/trafo_3w_tap_results.csv diff --git a/pandapower/test/test_files/test_results_files/trafo_3w_tap_results_neutral_not_zero.csv b/test/test_files/test_results_files/trafo_3w_tap_results_neutral_not_zero.csv similarity index 100% rename from pandapower/test/test_files/test_results_files/trafo_3w_tap_results_neutral_not_zero.csv rename to test/test_files/test_results_files/trafo_3w_tap_results_neutral_not_zero.csv diff --git a/pandapower/test/test_files/test_trafo3w_tap.json b/test/test_files/test_trafo3w_tap.json similarity index 100% rename from pandapower/test/test_files/test_trafo3w_tap.json rename to test/test_files/test_trafo3w_tap.json diff --git a/test/timeseries/__init__.py b/test/timeseries/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/pandapower/test/timeseries/test_data_source.py b/test/timeseries/test_data_source.py similarity index 87% rename from pandapower/test/timeseries/test_data_source.py rename to test/timeseries/test_data_source.py index d822a7ac48..201b3faff2 100644 --- a/pandapower/test/timeseries/test_data_source.py +++ b/test/timeseries/test_data_source.py @@ -1,37 +1,38 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import copy -import os - -import pandas as pd -import numpy as np -import pytest - -from pandapower import pp_dir -from pandapower.timeseries.data_sources.frame_data import DFData - -epsilon = 0.00000000000001 - - -def test_data_source(): - """ - Testing simply reading from file and checking the data. - """ - # load file - - filename = os.path.join(pp_dir, "test", "timeseries", "test_files", "small_profile.csv") - df = pd.read_csv(filename, sep=";") - my_data_source = DFData(df) - copy.deepcopy(my_data_source) - - assert np.isclose(my_data_source.get_time_step_value(time_step=0, profile_name="my_profilename"), 0.0) - assert np.isclose(my_data_source.get_time_step_value(time_step=3, profile_name="my_profilename"), 0.0) - assert abs(my_data_source.get_time_step_value(time_step=4, profile_name="my_profilename") - - -3.97E-1) < epsilon - assert abs(my_data_source.get_time_step_value(time_step=8, profile_name="constload3") - - -5.37E-3) < epsilon - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import copy +import os + +import pandas as pd +import numpy as np +import pytest + +from pandapower.timeseries.data_sources.frame_data import DFData + +from test import test_path + +epsilon = 0.00000000000001 + + +def test_data_source(): + """ + Testing simply reading from file and checking the data. + """ + # load file + + filename = os.path.join(test_path, "timeseries", "test_files", "small_profile.csv") + df = pd.read_csv(filename, sep=";") + my_data_source = DFData(df) + copy.deepcopy(my_data_source) + + assert np.isclose(my_data_source.get_time_step_value(time_step=0, profile_name="my_profilename"), 0.0) + assert np.isclose(my_data_source.get_time_step_value(time_step=3, profile_name="my_profilename"), 0.0) + assert abs(my_data_source.get_time_step_value(time_step=4, profile_name="my_profilename") + - -3.97E-1) < epsilon + assert abs(my_data_source.get_time_step_value(time_step=8, profile_name="constload3") + - -5.37E-3) < epsilon + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/timeseries/test_files/small_profile.csv b/test/timeseries/test_files/small_profile.csv similarity index 100% rename from pandapower/test/timeseries/test_files/small_profile.csv rename to test/timeseries/test_files/small_profile.csv diff --git a/pandapower/test/timeseries/test_output_writer.py b/test/timeseries/test_output_writer.py similarity index 99% rename from pandapower/test/timeseries/test_output_writer.py rename to test/timeseries/test_output_writer.py index 1f2153f15c..5c3c242d3e 100644 --- a/pandapower/test/timeseries/test_output_writer.py +++ b/test/timeseries/test_output_writer.py @@ -17,11 +17,12 @@ from pandapower.networks import simple_four_bus_system from pandapower.networks.power_system_test_cases import case5 from pandapower.run import runpp -from pandapower.test.timeseries.test_timeseries import create_data_source, simple_test_net from pandapower.timeseries.data_sources.frame_data import DFData from pandapower.timeseries.output_writer import OutputWriter from pandapower.timeseries.run_time_series import run_timeseries +from test.timeseries.test_timeseries import create_data_source, simple_test_net + logger = logging.getLogger(__name__) ow_logger = logging.getLogger("hp.control.output_writer") logger.setLevel(logging.ERROR) diff --git a/pandapower/test/timeseries/test_timeseries.py b/test/timeseries/test_timeseries.py similarity index 97% rename from pandapower/test/timeseries/test_timeseries.py rename to test/timeseries/test_timeseries.py index 75e4bf1784..9b18a4ef24 100644 --- a/pandapower/test/timeseries/test_timeseries.py +++ b/test/timeseries/test_timeseries.py @@ -1,387 +1,387 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import io -import logging -import tempfile - -import numpy as np -import pandas as pd -import pytest - -from pandapower.control import ContinuousTapControl, ConstControl -from pandapower.control.util.diagnostic import logger as diagnostic_logger -from pandapower.create import ( - create_bus, create_ext_grid, create_line, create_transformer, create_load, create_loads, create_buses, - create_switch, create_lines, create_transformer3w_from_parameters -) -from pandapower.network import pandapowerNet -from pandapower.run import set_user_pf_options, runpp -from pandapower.timeseries import DFData -from pandapower.timeseries import OutputWriter -from pandapower.timeseries.run_time_series import run_timeseries, control_diagnostic - -logger = logging.getLogger(__name__) - - -@pytest.fixture -def simple_test_net(): - net = pandapowerNet(name="simple_test_net") - set_user_pf_options(net, init='dc', calculate_voltage_angles=True) - b0 = create_bus(net, 110) - b1 = create_bus(net, 110) - b2 = create_bus(net, 20) - b3 = create_bus(net, 20) - b4 = create_bus(net, 6) - - create_ext_grid(net, b0) - create_line(net, b0, b1, 10, "149-AL1/24-ST1A 110.0") - - create_transformer(net, b1, b2, "25 MVA 110/20 kV", name='tr1') - - create_transformer3w_from_parameters(net, b1, b3, b4, 110, 20, 6, 1e2, 1e2, 1e1, 3, 2, 2, 1, - 1, 1, 100, 1, 60, 30, 'hv', tap_step_percent=1.5, - tap_step_degree=0, tap_pos=0, tap_neutral=0, tap_max=10, - tap_min=-10, name='tr2', tap_changer_type="Ratio") - - create_load(net, b2, 1.5e1, 1, name='trafo1') - create_load(net, b3, 3e1, 1.5, name='trafo2_mv') - create_load(net, b4, 2, -0.15, name='trafo2_lv') - - return net - - -def create_rand_data_source(net, n_timesteps=10): - profiles = {} - elements = ["load", "sgen"] - for el in elements: - element = net[el] - profiles[el] = pd.DataFrame() - for idx in element.index: - p_mw = element.loc[idx, "p_mw"] - profiles[el][el + str(idx)] = np.random.random(n_timesteps) * p_mw - - el = "trafo3w" - element = net[el] - profiles[el] = pd.DataFrame() - for idx in element.index: - profiles[el][el + str(idx)] = np.random.randint(-3, 3, n_timesteps) - - return profiles - - -def create_data_source(n_timesteps=10): - profiles = pd.DataFrame() - profiles['load1'] = np.random.random(n_timesteps) * 2e1 - profiles['load2_mv_p'] = np.random.random(n_timesteps) * 4e1 - profiles['load2_mv_q'] = np.random.random(n_timesteps) * 1e1 - - profiles['load3_hv_p'] = profiles.load2_mv_p + abs(np.random.random()) - profiles['load3_hv_q'] = profiles.load2_mv_q + abs(np.random.random()) - - profiles['slack_v'] = np.clip(np.random.random(n_timesteps) + 0.5, 0.8, 1.2) - profiles['trafo_v'] = np.clip(np.random.random(n_timesteps) + 0.5, 0.9, 1.1) - - profiles["trafo_tap"] = np.random.randint(-3, 3, n_timesteps) - - ds = DFData(profiles) - - return profiles, ds - - -def setup_output_writer(net, time_steps): - ow = OutputWriter(net, time_steps, output_path=tempfile.gettempdir()) - ow.log_variable('load', 'p_mw') - ow.log_variable('res_bus', 'vm_pu') - ow.log_variable('res_trafo3w', 'p_hv_mw') - ow.log_variable('res_trafo3w', 'q_hv_mvar') - return ow - - -def test_const_control(simple_test_net): - net = simple_test_net - profiles, ds = create_data_source() - time_steps = range(0, 10) - ow = setup_output_writer(net, time_steps) - - ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1', - scale_factor=0.85) - - ConstControl(net, 'ext_grid', 'vm_pu', element_index=0, data_source=ds, profile_name='slack_v') - - run_timeseries(net, time_steps, verbose=False) - - assert np.all(np.isclose(profiles['load1'].values * 0.85, ow.output['load.p_mw'][0].values)) - assert np.all(np.isclose(profiles['slack_v'].values, ow.output['res_bus.vm_pu'][0].values)) - - -def test_switch_states_in_time_series(): - net = pandapowerNet(name="test_switch_states_in_time_series") - create_buses(net, 3, 0.4) - create_ext_grid(net, 0) - create_loads(net, [1, 2], 0.1) - create_lines(net, [0, 0], [1, 2], 0.1, "NAYY 4x50 SE") - create_switch(net, 0, 0, "l") - - n_timesteps = 5 - time_steps = range(n_timesteps) - profiles = pd.DataFrame() - profiles['load1'] = np.linspace(0.05, 0.1, n_timesteps) - profiles["switch_pos"] = np.random.randint(2, size=n_timesteps, dtype=bool) - ds = DFData(profiles) - - ow = setup_output_writer(net, time_steps) - ow.log_variable('res_line', 'pl_mw') - ow.log_variable('res_ext_grid', 'p_mw') - - ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1') - ConstControl(net, 'switch', 'closed', element_index=0, data_source=ds, profile_name='switch_pos') - - run_timeseries(net, time_steps, verbose=False) - - assert np.allclose( - profiles['load1'].values * profiles["switch_pos"].values + 0.1 + \ - ow.output['res_line.pl_mw'].sum(axis=1).values, - ow.output['res_ext_grid.p_mw'][0].values - ) - - -def test_const_control_write_to_object_attribute(simple_test_net): - net = simple_test_net - profiles, ds = create_data_source() - time_steps = range(0, 10) - ow = setup_output_writer(net, time_steps) - - ContinuousTapControl(net, 0, 1., tol=1e-4, level=1, check_tap_bounds=False) - - ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1', - scale_factor=0.85) - - ConstControl(net, 'ext_grid', 'vm_pu', element_index=0, data_source=ds, profile_name='slack_v') - - ConstControl(net, 'controller', 'object.vm_set_pu', element_index=0, data_source=ds, profile_name='trafo_v') - - run_timeseries(net, time_steps, verbose=False) - - assert np.all(profiles['load1'].values * 0.85 == ow.output['load.p_mw'][0].values) - assert np.all(profiles['slack_v'].values == ow.output['res_bus.vm_pu'][0].values) - assert np.allclose(profiles['trafo_v'].values, ow.output['res_bus.vm_pu'][net.trafo.at[0, 'lv_bus']].values, - atol=1e-3, rtol=0) - - -def test_false_alarm_trafos(simple_test_net): - net = simple_test_net - - s = io.StringIO() - h = logging.StreamHandler(stream=s) - diagnostic_logger.addHandler(h) - - ContinuousTapControl(net, 0, 1) - ContinuousTapControl(net, 0, 1, trafotype='3W') - - if 'convergence problems' in s.getvalue(): - raise UserWarning('Control diagnostic raises false alarm! Controllers are fine, ' - 'but warning is raised: %s' % s.getvalue()) - - control_diagnostic(net) - if 'convergence problems' in s.getvalue(): - raise UserWarning('Control diagnostic raises false alarm! Controllers are fine, ' - 'but warning is raised: %s' % s.getvalue()) - - diagnostic_logger.removeHandler(h) - del h - del s - - -def test_timeseries_results(simple_test_net): - # This test compares output writer results with input - # test net - net = simple_test_net - net.user_pf_options = {} - - n_timesteps = 5 - profiles, ds = create_data_source(n_timesteps) - - # 1load - ConstControl(net, element='load', variable='p_mw', element_index=[0, 1, 2], - data_source=ds, profile_name=["load1", "load2_mv_p", "load3_hv_p"], - scale_factor=0.5) - - time_steps = range(0, n_timesteps) - ow = OutputWriter(net, time_steps, output_path=tempfile.gettempdir(), output_file_type=".json") - ow.log_variable('res_load', 'p_mw') - ow.log_variable('res_bus', 'vm_pu') - - ow.log_variable('res_line', 'loading_percent') - ow.log_variable('res_line', 'i_ka') - run_timeseries(net, time_steps, verbose=False) - assert np.allclose(ow.output['res_load.p_mw'].sum().values * 2, - profiles[["load1", "load2_mv_p", "load3_hv_p"]].sum().values) - - # 3load - @Rieke What is this test for compared to the first one? - # @Flo in / out of service testen ... - ow.log_variable('res_load', 'p_mw') - net.controller.in_service = False # set the first controller out of service - ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1') - - run_timeseries(net, time_steps, verbose=False) - assert np.allclose(ow.output['res_load.p_mw'][0].sum(), profiles["load1"].sum()) - - -def test_timeseries_var_func(simple_test_net): - # This test checks if the output writer works with a user defined function - - # test net - net = simple_test_net - - n_timesteps = 5 - _, ds = create_data_source(n_timesteps) - - # 1load - ConstControl(net, element='load', variable='p_mw', element_index=[0, 1, 2], - data_source=ds, profile_name=["load1", "load2_mv_p", "load3_hv_p"], - scale_factor=0.5) - - time_steps = range(0, n_timesteps) - ow = OutputWriter(net, time_steps, output_path=tempfile.gettempdir(), output_file_type=".json") - ow.log_variable('res_load', 'p_mw', eval_function=np.max) - ow.log_variable('res_bus', 'vm_pu', eval_function=np.min) - ow.log_variable('res_bus', 'q_mvar', eval_function=np.sum) - - run_timeseries(net, time_steps, verbose=False) - # asserts if last value of output_writers output is the minimum value - assert net["res_load"]["p_mw"].max() == ow.output["res_load.p_mw"].iloc[-1].values - assert net["res_bus"]["vm_pu"].min() == ow.output["res_bus.vm_pu"].iloc[-1, -1] - assert net["res_bus"]["q_mvar"].sum() == ow.output["res_bus.q_mvar"].iloc[-1].values - - # get minimum voltage of all hv busses - mask = (net.bus.vn_kv > 70.0) & (net.bus.vn_kv < 380.0) - hv_busses_index = net.bus.loc[mask].index - mask = (net.bus.vn_kv > 1.0) & (net.bus.vn_kv < 70.0) - mv_busses_index = net.bus.loc[mask].index - ow.log_variable('res_bus', 'vm_pu', index=hv_busses_index, eval_function=np.min, - eval_name="hv_bus_min") - ow.log_variable('res_bus', 'vm_pu', index=mv_busses_index, eval_function=np.min, - eval_name="mv_bus_min") - run_timeseries(net, time_steps, verbose=False) - assert net["res_bus"].loc[hv_busses_index, "vm_pu"].min() == ow.output["res_bus.vm_pu"].loc[ - time_steps[-1], "hv_bus_min"] - assert net["res_bus"].loc[mv_busses_index, "vm_pu"].min() == ow.output["res_bus.vm_pu"].loc[ - time_steps[-1], "mv_bus_min"] - - -def test_time_steps(simple_test_net): - net = simple_test_net - n_timesteps = 11 - _, ds = create_data_source(n_timesteps) - # 1load - ConstControl(net, element='load', variable='p_mw', element_index=[0, 1, 2], - data_source=ds, profile_name=["load1", "load2_mv_p", "load3_hv_p"]) - - # correct - run_timeseries(net, time_steps=range(0, n_timesteps), verbose=False) - # also correct - run_timeseries(net, time_steps=[0, 2, 4, 8, 9], verbose=False) - # ok. missing time_step list -> should check the datasource - run_timeseries(net, verbose=False) - # depricated - run_timeseries(net, time_steps=(0, 10), verbose=False) - - -def test_output_dump_after_time(simple_test_net): - net = simple_test_net - - n_timesteps = 100 - _, ds = create_data_source(n_timesteps) - - # 1load - ConstControl(net, element='load', variable='p_mw', element_index=[0, 1, 2], - data_source=ds, profile_name=["load1", "load2_mv_p", "load3_hv_p"]) - - time_steps = range(0, n_timesteps) - # write output after 0.1 minutes to disk - ow = OutputWriter(net, time_steps, output_path=tempfile.gettempdir(), output_file_type=".json", - write_time=0.05) - ow.log_variable('res_load', 'p_mw') - ow.log_variable('res_bus', 'vm_pu') - - ow.log_variable('res_line', 'loading_percent') - ow.log_variable('res_line', 'i_ka') - run_timeseries(net, time_steps, verbose=False) - # ToDo: read partially dumped results and compare with all stored results - - -def test_pf_options(simple_test_net): - net = simple_test_net - _, ds = create_data_source() - time_steps = range(0, 3) - ow = setup_output_writer(net, time_steps) - - ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1', - scale_factor=0.85) - - ConstControl(net, 'ext_grid', 'vm_pu', element_index=0, data_source=ds, profile_name='slack_v') - - run_timeseries(net, time_steps, verbose=False, distributed_slack=True) - assert net._options["distributed_slack"] - - -def test_user_pf_options(simple_test_net): - net = simple_test_net - _, ds = create_data_source() - time_steps = range(0, 3) - ow = setup_output_writer(net, time_steps) - - ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1', - scale_factor=0.85) - - ConstControl(net, 'ext_grid', 'vm_pu', element_index=0, data_source=ds, profile_name='slack_v') - - set_user_pf_options(net, distributed_slack=True) - run_timeseries(net, time_steps, verbose=False) - assert net._options["distributed_slack"] - - runpp(net, distributed_slack=False) - - run_timeseries(net, time_steps, verbose=False) - assert net._options["distributed_slack"] - - -def test_user_pf_options_init_run(simple_test_net): - net = simple_test_net - _, ds = create_data_source() - time_steps = range(0, 3) - ow = setup_output_writer(net, time_steps) - - ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1', - scale_factor=0.85) - - ConstControl(net, 'ext_grid', 'vm_pu', element_index=0, data_source=ds, profile_name='slack_v') - - runpp(net) - - set_user_pf_options(net, distributed_slack=True) - run_timeseries(net, time_steps, verbose=False) - assert net._options["distributed_slack"] - - -def test_user_pf_options_recycle_manual(simple_test_net): - net = simple_test_net - _, ds = create_data_source() - time_steps = range(0, 3) - ow = setup_output_writer(net, time_steps) - - ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1', - scale_factor=0.85) - - ConstControl(net, 'ext_grid', 'vm_pu', element_index=0, data_source=ds, profile_name='slack_v') - - runpp(net) - - set_user_pf_options(net, distributed_slack=True, recycle=True) - run_timeseries(net, time_steps, verbose=False) - assert net._options["distributed_slack"] - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import io +import logging +import tempfile + +import numpy as np +import pandas as pd +import pytest + +from pandapower.control import ContinuousTapControl, ConstControl +from pandapower.control.util.diagnostic import logger as diagnostic_logger +from pandapower.create import ( + create_bus, create_ext_grid, create_line, create_transformer, create_load, create_loads, create_buses, + create_switch, create_lines, create_transformer3w_from_parameters +) +from pandapower.network import pandapowerNet +from pandapower.run import set_user_pf_options, runpp +from pandapower.timeseries import DFData +from pandapower.timeseries import OutputWriter +from pandapower.timeseries.run_time_series import run_timeseries, control_diagnostic + +logger = logging.getLogger(__name__) + + +@pytest.fixture +def simple_test_net(): + net = pandapowerNet(name="simple_test_net") + set_user_pf_options(net, init='dc', calculate_voltage_angles=True) + b0 = create_bus(net, 110) + b1 = create_bus(net, 110) + b2 = create_bus(net, 20) + b3 = create_bus(net, 20) + b4 = create_bus(net, 6) + + create_ext_grid(net, b0) + create_line(net, b0, b1, 10, "149-AL1/24-ST1A 110.0") + + create_transformer(net, b1, b2, "25 MVA 110/20 kV", name='tr1') + + create_transformer3w_from_parameters(net, b1, b3, b4, 110, 20, 6, 1e2, 1e2, 1e1, 3, 2, 2, 1, + 1, 1, 100, 1, 60, 30, 'hv', tap_step_percent=1.5, + tap_step_degree=0, tap_pos=0, tap_neutral=0, tap_max=10, + tap_min=-10, name='tr2', tap_changer_type="Ratio") + + create_load(net, b2, 1.5e1, 1, name='trafo1') + create_load(net, b3, 3e1, 1.5, name='trafo2_mv') + create_load(net, b4, 2, -0.15, name='trafo2_lv') + + return net + + +def create_rand_data_source(net, n_timesteps=10): + profiles = {} + elements = ["load", "sgen"] + for el in elements: + element = net[el] + profiles[el] = pd.DataFrame() + for idx in element.index: + p_mw = element.loc[idx, "p_mw"] + profiles[el][el + str(idx)] = np.random.random(n_timesteps) * p_mw + + el = "trafo3w" + element = net[el] + profiles[el] = pd.DataFrame() + for idx in element.index: + profiles[el][el + str(idx)] = np.random.randint(-3, 3, n_timesteps) + + return profiles + + +def create_data_source(n_timesteps=10): + profiles = pd.DataFrame() + profiles['load1'] = np.random.random(n_timesteps) * 2e1 + profiles['load2_mv_p'] = np.random.random(n_timesteps) * 4e1 + profiles['load2_mv_q'] = np.random.random(n_timesteps) * 1e1 + + profiles['load3_hv_p'] = profiles.load2_mv_p + abs(np.random.random()) + profiles['load3_hv_q'] = profiles.load2_mv_q + abs(np.random.random()) + + profiles['slack_v'] = np.clip(np.random.random(n_timesteps) + 0.5, 0.8, 1.2) + profiles['trafo_v'] = np.clip(np.random.random(n_timesteps) + 0.5, 0.9, 1.1) + + profiles["trafo_tap"] = np.random.randint(-3, 3, n_timesteps) + + ds = DFData(profiles) + + return profiles, ds + + +def setup_output_writer(net, time_steps): + ow = OutputWriter(net, time_steps, output_path=tempfile.gettempdir()) + ow.log_variable('load', 'p_mw') + ow.log_variable('res_bus', 'vm_pu') + ow.log_variable('res_trafo3w', 'p_hv_mw') + ow.log_variable('res_trafo3w', 'q_hv_mvar') + return ow + + +def test_const_control(simple_test_net): + net = simple_test_net + profiles, ds = create_data_source() + time_steps = range(0, 10) + ow = setup_output_writer(net, time_steps) + + ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1', + scale_factor=0.85) + + ConstControl(net, 'ext_grid', 'vm_pu', element_index=0, data_source=ds, profile_name='slack_v') + + run_timeseries(net, time_steps, verbose=False) + + assert np.all(np.isclose(profiles['load1'].values * 0.85, ow.output['load.p_mw'][0].values)) + assert np.all(np.isclose(profiles['slack_v'].values, ow.output['res_bus.vm_pu'][0].values)) + + +def test_switch_states_in_time_series(): + net = pandapowerNet(name="test_switch_states_in_time_series") + create_buses(net, 3, 0.4) + create_ext_grid(net, 0) + create_loads(net, [1, 2], 0.1) + create_lines(net, [0, 0], [1, 2], 0.1, "NAYY 4x50 SE") + create_switch(net, 0, 0, "l") + + n_timesteps = 5 + time_steps = range(n_timesteps) + profiles = pd.DataFrame() + profiles['load1'] = np.linspace(0.05, 0.1, n_timesteps) + profiles["switch_pos"] = np.random.randint(2, size=n_timesteps, dtype=bool) + ds = DFData(profiles) + + ow = setup_output_writer(net, time_steps) + ow.log_variable('res_line', 'pl_mw') + ow.log_variable('res_ext_grid', 'p_mw') + + ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1') + ConstControl(net, 'switch', 'closed', element_index=0, data_source=ds, profile_name='switch_pos') + + run_timeseries(net, time_steps, verbose=False) + + assert np.allclose( + profiles['load1'].values * profiles["switch_pos"].values + 0.1 + \ + ow.output['res_line.pl_mw'].sum(axis=1).values, + ow.output['res_ext_grid.p_mw'][0].values + ) + + +def test_const_control_write_to_object_attribute(simple_test_net): + net = simple_test_net + profiles, ds = create_data_source() + time_steps = range(0, 10) + ow = setup_output_writer(net, time_steps) + + ContinuousTapControl(net, 0, 1., tol=1e-4, level=1, check_tap_bounds=False) + + ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1', + scale_factor=0.85) + + ConstControl(net, 'ext_grid', 'vm_pu', element_index=0, data_source=ds, profile_name='slack_v') + + ConstControl(net, 'controller', 'object.vm_set_pu', element_index=0, data_source=ds, profile_name='trafo_v') + + run_timeseries(net, time_steps, verbose=False) + + assert np.all(profiles['load1'].values * 0.85 == ow.output['load.p_mw'][0].values) + assert np.all(profiles['slack_v'].values == ow.output['res_bus.vm_pu'][0].values) + assert np.allclose(profiles['trafo_v'].values, ow.output['res_bus.vm_pu'][net.trafo.at[0, 'lv_bus']].values, + atol=1e-3, rtol=0) + + +def test_false_alarm_trafos(simple_test_net): + net = simple_test_net + + s = io.StringIO() + h = logging.StreamHandler(stream=s) + diagnostic_logger.addHandler(h) + + ContinuousTapControl(net, 0, 1) + ContinuousTapControl(net, 0, 1, trafotype='3W') + + if 'convergence problems' in s.getvalue(): + raise UserWarning('Control diagnostic raises false alarm! Controllers are fine, ' + 'but warning is raised: %s' % s.getvalue()) + + control_diagnostic(net) + if 'convergence problems' in s.getvalue(): + raise UserWarning('Control diagnostic raises false alarm! Controllers are fine, ' + 'but warning is raised: %s' % s.getvalue()) + + diagnostic_logger.removeHandler(h) + del h + del s + + +def test_timeseries_results(simple_test_net): + # This test compares output writer results with input + # test net + net = simple_test_net + net.user_pf_options = {} + + n_timesteps = 5 + profiles, ds = create_data_source(n_timesteps) + + # 1load + ConstControl(net, element='load', variable='p_mw', element_index=[0, 1, 2], + data_source=ds, profile_name=["load1", "load2_mv_p", "load3_hv_p"], + scale_factor=0.5) + + time_steps = range(0, n_timesteps) + ow = OutputWriter(net, time_steps, output_path=tempfile.gettempdir(), output_file_type=".json") + ow.log_variable('res_load', 'p_mw') + ow.log_variable('res_bus', 'vm_pu') + + ow.log_variable('res_line', 'loading_percent') + ow.log_variable('res_line', 'i_ka') + run_timeseries(net, time_steps, verbose=False) + assert np.allclose(ow.output['res_load.p_mw'].sum().values * 2, + profiles[["load1", "load2_mv_p", "load3_hv_p"]].sum().values) + + # 3load - @Rieke What is this test for compared to the first one? + # @Flo in / out of service testen ... + ow.log_variable('res_load', 'p_mw') + net.controller.in_service = False # set the first controller out of service + ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1') + + run_timeseries(net, time_steps, verbose=False) + assert np.allclose(ow.output['res_load.p_mw'][0].sum(), profiles["load1"].sum()) + + +def test_timeseries_var_func(simple_test_net): + # This test checks if the output writer works with a user defined function + + # test net + net = simple_test_net + + n_timesteps = 5 + _, ds = create_data_source(n_timesteps) + + # 1load + ConstControl(net, element='load', variable='p_mw', element_index=[0, 1, 2], + data_source=ds, profile_name=["load1", "load2_mv_p", "load3_hv_p"], + scale_factor=0.5) + + time_steps = range(0, n_timesteps) + ow = OutputWriter(net, time_steps, output_path=tempfile.gettempdir(), output_file_type=".json") + ow.log_variable('res_load', 'p_mw', eval_function=np.max) + ow.log_variable('res_bus', 'vm_pu', eval_function=np.min) + ow.log_variable('res_bus', 'q_mvar', eval_function=np.sum) + + run_timeseries(net, time_steps, verbose=False) + # asserts if last value of output_writers output is the minimum value + assert net["res_load"]["p_mw"].max() == ow.output["res_load.p_mw"].iloc[-1].values + assert net["res_bus"]["vm_pu"].min() == ow.output["res_bus.vm_pu"].iloc[-1, -1] + assert net["res_bus"]["q_mvar"].sum() == ow.output["res_bus.q_mvar"].iloc[-1].values + + # get minimum voltage of all hv busses + mask = (net.bus.vn_kv > 70.0) & (net.bus.vn_kv < 380.0) + hv_busses_index = net.bus.loc[mask].index + mask = (net.bus.vn_kv > 1.0) & (net.bus.vn_kv < 70.0) + mv_busses_index = net.bus.loc[mask].index + ow.log_variable('res_bus', 'vm_pu', index=hv_busses_index, eval_function=np.min, + eval_name="hv_bus_min") + ow.log_variable('res_bus', 'vm_pu', index=mv_busses_index, eval_function=np.min, + eval_name="mv_bus_min") + run_timeseries(net, time_steps, verbose=False) + assert net["res_bus"].loc[hv_busses_index, "vm_pu"].min() == ow.output["res_bus.vm_pu"].loc[ + time_steps[-1], "hv_bus_min"] + assert net["res_bus"].loc[mv_busses_index, "vm_pu"].min() == ow.output["res_bus.vm_pu"].loc[ + time_steps[-1], "mv_bus_min"] + + +def test_time_steps(simple_test_net): + net = simple_test_net + n_timesteps = 11 + _, ds = create_data_source(n_timesteps) + # 1load + ConstControl(net, element='load', variable='p_mw', element_index=[0, 1, 2], + data_source=ds, profile_name=["load1", "load2_mv_p", "load3_hv_p"]) + + # correct + run_timeseries(net, time_steps=range(0, n_timesteps), verbose=False) + # also correct + run_timeseries(net, time_steps=[0, 2, 4, 8, 9], verbose=False) + # ok. missing time_step list -> should check the datasource + run_timeseries(net, verbose=False) + # depricated + run_timeseries(net, time_steps=(0, 10), verbose=False) + + +def test_output_dump_after_time(simple_test_net): + net = simple_test_net + + n_timesteps = 100 + _, ds = create_data_source(n_timesteps) + + # 1load + ConstControl(net, element='load', variable='p_mw', element_index=[0, 1, 2], + data_source=ds, profile_name=["load1", "load2_mv_p", "load3_hv_p"]) + + time_steps = range(0, n_timesteps) + # write output after 0.1 minutes to disk + ow = OutputWriter(net, time_steps, output_path=tempfile.gettempdir(), output_file_type=".json", + write_time=0.05) + ow.log_variable('res_load', 'p_mw') + ow.log_variable('res_bus', 'vm_pu') + + ow.log_variable('res_line', 'loading_percent') + ow.log_variable('res_line', 'i_ka') + run_timeseries(net, time_steps, verbose=False) + # ToDo: read partially dumped results and compare with all stored results + + +def test_pf_options(simple_test_net): + net = simple_test_net + _, ds = create_data_source() + time_steps = range(0, 3) + ow = setup_output_writer(net, time_steps) + + ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1', + scale_factor=0.85) + + ConstControl(net, 'ext_grid', 'vm_pu', element_index=0, data_source=ds, profile_name='slack_v') + + run_timeseries(net, time_steps, verbose=False, distributed_slack=True) + assert net._options["distributed_slack"] + + +def test_user_pf_options(simple_test_net): + net = simple_test_net + _, ds = create_data_source() + time_steps = range(0, 3) + ow = setup_output_writer(net, time_steps) + + ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1', + scale_factor=0.85) + + ConstControl(net, 'ext_grid', 'vm_pu', element_index=0, data_source=ds, profile_name='slack_v') + + set_user_pf_options(net, distributed_slack=True) + run_timeseries(net, time_steps, verbose=False) + assert net._options["distributed_slack"] + + runpp(net, distributed_slack=False) + + run_timeseries(net, time_steps, verbose=False) + assert net._options["distributed_slack"] + + +def test_user_pf_options_init_run(simple_test_net): + net = simple_test_net + _, ds = create_data_source() + time_steps = range(0, 3) + ow = setup_output_writer(net, time_steps) + + ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1', + scale_factor=0.85) + + ConstControl(net, 'ext_grid', 'vm_pu', element_index=0, data_source=ds, profile_name='slack_v') + + runpp(net) + + set_user_pf_options(net, distributed_slack=True) + run_timeseries(net, time_steps, verbose=False) + assert net._options["distributed_slack"] + + +def test_user_pf_options_recycle_manual(simple_test_net): + net = simple_test_net + _, ds = create_data_source() + time_steps = range(0, 3) + ow = setup_output_writer(net, time_steps) + + ConstControl(net, 'load', 'p_mw', element_index=0, data_source=ds, profile_name='load1', + scale_factor=0.85) + + ConstControl(net, 'ext_grid', 'vm_pu', element_index=0, data_source=ds, profile_name='slack_v') + + runpp(net) + + set_user_pf_options(net, distributed_slack=True, recycle=True) + run_timeseries(net, time_steps, verbose=False) + assert net._options["distributed_slack"] + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/timeseries/test_timeseries_recycle.py b/test/timeseries/test_timeseries_recycle.py similarity index 99% rename from pandapower/test/timeseries/test_timeseries_recycle.py rename to test/timeseries/test_timeseries_recycle.py index 782a9548b8..4b331341ac 100644 --- a/pandapower/test/timeseries/test_timeseries_recycle.py +++ b/test/timeseries/test_timeseries_recycle.py @@ -7,12 +7,18 @@ from pandapower.control.controller.trafo.ContinuousTapControl import ContinuousTapControl from pandapower.create import create_gen, create_bus, create_line, create_transformer, create_transformer3w from pandapower.run import runpp, rundcpp -from pandapower.test.timeseries.test_output_writer import create_data_source, OutputWriter, ConstControl, \ - run_timeseries, simple_test_net from pandapower.timeseries.data_sources.frame_data import DFData from pandapower.timeseries.read_batch_results import get_batch_line_results, get_batch_trafo_results, \ get_batch_trafo3w_results, v_to_i_s, polar_to_rad +from test.timeseries.test_output_writer import ( + create_data_source, + OutputWriter, + ConstControl, + run_timeseries, + simple_test_net +) + n_timesteps = 5 time_steps = range(0, n_timesteps) diff --git a/test/toolbox/__init__.py b/test/toolbox/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/pandapower/test/toolbox/test_comparison.py b/test/toolbox/test_comparison.py similarity index 100% rename from pandapower/test/toolbox/test_comparison.py rename to test/toolbox/test_comparison.py diff --git a/test/toolbox/test_compute_switch_flows.py b/test/toolbox/test_compute_switch_flows.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/pandapower/test/toolbox/test_data_modification.py b/test/toolbox/test_data_modification.py similarity index 99% rename from pandapower/test/toolbox/test_data_modification.py rename to test/toolbox/test_data_modification.py index 304b587194..66c4e54e19 100644 --- a/pandapower/test/toolbox/test_data_modification.py +++ b/test/toolbox/test_data_modification.py @@ -12,7 +12,6 @@ from pandapower.networks.cigre_networks import create_cigre_network_mv from pandapower.networks.create_examples import example_simple, example_multivoltage from pandapower.run import runpp -from pandapower.test.helper_functions import assert_net_equal from pandapower.toolbox.comparison import compare_arrays from pandapower.toolbox.data_modification import ( reindex_elements, reindex_buses, add_column_from_node_to_elements, add_column_from_element_to_elements, @@ -21,6 +20,7 @@ from pandapower.toolbox.element_selection import pp_elements from pandapower.estimation.util import add_virtual_meas_from_loadflow +from test.helper_functions import assert_net_equal def test_add_column_from_node_to_elements(): net = create_cigre_network_mv("pv_wind") diff --git a/pandapower/test/toolbox/test_element_selection.py b/test/toolbox/test_element_selection.py similarity index 100% rename from pandapower/test/toolbox/test_element_selection.py rename to test/toolbox/test_element_selection.py diff --git a/pandapower/test/toolbox/test_grid_modification.py b/test/toolbox/test_grid_modification.py similarity index 99% rename from pandapower/test/toolbox/test_grid_modification.py rename to test/toolbox/test_grid_modification.py index bc22e8a772..a2b976506f 100644 --- a/pandapower/test/toolbox/test_grid_modification.py +++ b/test/toolbox/test_grid_modification.py @@ -17,12 +17,12 @@ from pandapower.networks.mv_oberrhein import mv_oberrhein from pandapower.networks.power_system_test_cases import case9, case24_ieee_rts from pandapower.networks.simple_pandapower_test_networks import simple_four_bus_system -from pandapower.test.helper_functions import assert_net_equal from pandapower.toolbox.comparison import nets_equal, dataframes_equal from pandapower.toolbox.data_modification import reindex_buses, add_zones_to_elements from pandapower.toolbox.element_selection import count_elements from pandapower.toolbox.grid_modification import * +from test.helper_functions import assert_net_equal @pytest.fixture def mock_logger(monkeypatch): diff --git a/pandapower/test/toolbox/test_power_factor.py b/test/toolbox/test_power_factor.py similarity index 100% rename from pandapower/test/toolbox/test_power_factor.py rename to test/toolbox/test_power_factor.py diff --git a/pandapower/test/toolbox/test_result_info.py b/test/toolbox/test_result_info.py similarity index 97% rename from pandapower/test/toolbox/test_result_info.py rename to test/toolbox/test_result_info.py index ea930fc3f2..7443f12810 100644 --- a/pandapower/test/toolbox/test_result_info.py +++ b/test/toolbox/test_result_info.py @@ -10,7 +10,7 @@ create_transformer, create_bus, create_poly_cost, create_pwl_cost ) from pandapower.network import pandapowerNet -from pandapower.create._utils import add_column_to_df +from pandapower.create.utils import add_column_to_df from pandapower.networks import create_cigre_network_lv, case9 from pandapower.toolbox import dataframes_equal from pandapower.toolbox.result_info import ( @@ -30,9 +30,9 @@ def test_opf_task(): create_sgen(net, 1, 8, min_q_mvar=-50, max_q_mvar=-10, controllable=False) create_sgen(net, 2, 8) create_storage(net, 3, 2, 100, min_q_mvar=-10, max_q_mvar=-50, min_p_mw=0, max_p_mw=60, - controllable=True) + controllable=True) create_dcline(net, 4, 5, 0.3, 1e-4, 1e-2, 1.01, 1.02, min_q_from_mvar=-10, - min_q_to_mvar=-10) + min_q_to_mvar=-10) add_column_to_df(net, "dcline", "max_p_mw") add_column_to_df(net, "dcline", "max_q_from_mvar") diff --git a/test/topology/__init__.py b/test/topology/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/pandapower/test/topology/test_create_graph.py b/test/topology/test_create_graph.py similarity index 95% rename from pandapower/test/topology/test_create_graph.py rename to test/topology/test_create_graph.py index 1ca2afaff1..7cb449e35c 100644 --- a/pandapower/test/topology/test_create_graph.py +++ b/test/topology/test_create_graph.py @@ -1,269 +1,274 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -from itertools import combinations - -import numpy as np -import pytest - -from pandapower.create import create_switch -from pandapower.pypower.idx_brch import BR_R, BR_X -from pandapower.network import pandapowerNet -from pandapower.run import runpp -from pandapower.test.loadflow.result_test_network_generator import ( - add_test_trafo3w, add_test_trafo, add_test_line, add_test_impedance, add_test_bus_bus_switch -) -from pandapower.test.loadflow.test_scenarios import network_with_trafo3ws -from pandapower.topology.create_graph import create_nxgraph, graph_tool_available - -libraries = ["networkx"] -if graph_tool_available: - libraries.append("graph_tool") - - -@pytest.mark.parametrize("library", libraries) -def test_line(library): - net = pandapowerNet(name="test_line") - add_test_line(net) - line, open_loop_line, _ = net.line.index - f, t = net.line.from_bus.at[line], net.line.to_bus.at[line] - - # check that oos lines are neglected and switches are respected - mg = create_nxgraph(net, library=library) - assert set(mg.get_edge_data(f, t).keys()) == {("line", line)} - assert set(mg.nodes()) == set(net.bus.index) - - # check respect_switches - mg = create_nxgraph(net, respect_switches=False, library=library) - assert set(mg.get_edge_data(f, t).keys()) == {("line", line), ("line", open_loop_line)} - assert set(mg.nodes()) == set(net.bus.index) - - # check not including lines - mg = create_nxgraph(net, include_lines=False, library=library) - assert mg.get_edge_data(f, t) is None - assert set(mg.nodes()) == set(net.bus.index) - - # check edge attributes - mg = create_nxgraph(net, calc_branch_impedances=True, library=library) - line_tab = net.line.loc[line] - par = mg.get_edge_data(f, t, key=("line", line)) - r = line_tab.length_km / line_tab.parallel * line_tab.r_ohm_per_km - x = line_tab.length_km / line_tab.parallel * line_tab.x_ohm_per_km - z = np.sqrt(r ** 2 + x ** 2) - assert np.isclose(par["r_ohm"], r) - assert np.isclose(par["x_ohm"], x) - assert np.isclose(par["z_ohm"], z) - assert np.isclose(par["weight"], line_tab.length_km) - assert par["path"] == 1 - - mg = create_nxgraph(net, calc_branch_impedances=True, branch_impedance_unit="pu", library=library) - par = mg.get_edge_data(f, t, key=("line", line)) - runpp(net) - f, t = net._pd2ppc_lookups["branch"]["line"] - assert np.isclose(par["r_pu"], net._ppc["branch"][f, BR_R]) - assert np.isclose(par["x_pu"], net._ppc["branch"][f, BR_X]) - - -@pytest.mark.parametrize("library", libraries) -def test_trafo(library): - net = pandapowerNet(name="test_trafo") - add_test_trafo(net) - - trafo, open_loop_trafo, _ = net.trafo.index - f, t = net.trafo.hv_bus.at[trafo], net.trafo.lv_bus.at[trafo] - # check that oos trafos are neglected and switches are respected - mg = create_nxgraph(net, library=library) - assert set(mg.get_edge_data(f, t).keys()) == {("trafo", trafo)} - assert set(mg.nodes()) == set(net.bus.index) - - # check respect_switches - mg = create_nxgraph(net, respect_switches=False, library=library) - assert set(mg.get_edge_data(f, t).keys()) == {("trafo", trafo), ("trafo", open_loop_trafo)} - assert set(mg.nodes()) == set(net.bus.index) - - # check not including trafos - mg = create_nxgraph(net, include_trafos=False, library=library) - assert mg.get_edge_data(f, t) is None - assert set(mg.nodes()) == set(net.bus.index) - - # check edge attributes - net.trafo.vn_hv_kv = 20 - net.trafo.vn_lv_kv = 0.4 - net.trafo.pfe_kw = 0 - net.trafo.i0_percent = 0 - mg = create_nxgraph(net, calc_branch_impedances=True, library=library) - trafo_tab = net.trafo.loc[trafo] - par = mg.get_edge_data(f, t, key=("trafo", trafo)) - base_Z = trafo_tab.sn_mva / (trafo_tab.vn_hv_kv ** 2) - r = (trafo_tab.vkr_percent / 100) / base_Z / trafo_tab.parallel - z = (trafo_tab.vk_percent / 100) / base_Z / trafo_tab.parallel - assert np.isclose(par["r_ohm"], r) - assert np.isclose(par["z_ohm"], z) - assert par["weight"] == 0 - assert par["path"] == 1 - - mg = create_nxgraph(net, calc_branch_impedances=True, branch_impedance_unit="pu", library=library) - par = mg.get_edge_data(f, t, key=("trafo", trafo)) - runpp(net) - f, t = net._pd2ppc_lookups["branch"]["trafo"] - assert np.isclose(par["r_pu"], net._ppc["branch"][f, BR_R]) - assert np.isclose(par["x_pu"], net._ppc["branch"][f, BR_X]) - - -@pytest.mark.parametrize("library", libraries) -def test_trafo3w(library): - net = pandapowerNet(name="test_trafo3w") - add_test_trafo3w(net) - - t1, t2 = net.trafo3w.index - trafo3 = net.trafo3w.iloc[t1] - hv, mv, lv = trafo3.hv_bus, trafo3.mv_bus, trafo3.lv_bus - mg = create_nxgraph(net, library=library) - for f, t in combinations([hv, mv, lv], 2): - assert set(mg.get_edge_data(f, t).keys()) == {("trafo3w", t1)} - assert set(mg.nodes()) == set(net.bus.index) - - net.trafo3w.at[t2, "in_service"] = True - mg = create_nxgraph(net, library=library) - for f, t in combinations([hv, mv, lv], 2): - assert set(mg.get_edge_data(f, t).keys()) == {("trafo3w", t1), ("trafo3w", t2)} - assert set(mg.nodes()) == set(net.bus.index) - - for sb in [hv, mv, lv]: - sw = create_switch(net, bus=sb, element=t1, et="t3", closed=False) - mg = create_nxgraph(net, library=library) - for f, t in combinations([hv, mv, lv], 2): - if sb == f or t == sb: - assert set(mg.get_edge_data(f, t).keys()) == {("trafo3w", t2)} - else: - assert set(mg.get_edge_data(f, t).keys()) == {("trafo3w", t1), ("trafo3w", t2)} - assert set(mg.nodes()) == set(net.bus.index) - net.switch.at[sw, "closed"] = True - - -@pytest.mark.parametrize("library", libraries) -def test_trafo3w_impedances(network_with_trafo3ws, library): - net, t3, hv, mv, lv = network_with_trafo3ws - net.trafo3w.vn_hv_kv = 20 - net.trafo3w.vn_mv_kv = 0.6 - net.trafo3w.vn_lv_kv = 0.4 - t3 = net.trafo3w.index[0] - - mg = create_nxgraph(net, calc_branch_impedances=True, library=library) - trafo3 = net.trafo3w.loc[t3] - hv, mv, lv = trafo3.hv_bus, trafo3.mv_bus, trafo3.lv_bus - base_Z_hv = min(trafo3.sn_hv_mva, trafo3.sn_mv_mva) / (trafo3.vn_hv_kv ** 2) - base_Z_mv = min(trafo3.sn_mv_mva, trafo3.sn_lv_mva) / (trafo3.vn_hv_kv ** 2) - base_Z_lv = min(trafo3.sn_hv_mva, trafo3.sn_lv_mva) / (trafo3.vn_hv_kv ** 2) - - par = mg.get_edge_data(hv, mv, key=("trafo3w", t3)) - assert np.isclose(par["r_ohm"], (trafo3.vkr_hv_percent / 100) / base_Z_hv) - assert np.isclose(par["z_ohm"], (trafo3.vk_hv_percent / 100) / base_Z_hv) - assert par["weight"] == 0 - assert par["path"] == 1 - - par = mg.get_edge_data(mv, lv, key=("trafo3w", t3)) - assert np.isclose(par["r_ohm"], (trafo3.vkr_mv_percent / 100) / base_Z_mv) - assert np.isclose(par["z_ohm"], (trafo3.vk_mv_percent / 100) / base_Z_mv) - assert par["weight"] == 0 - assert par["path"] == 1 - - par = mg.get_edge_data(hv, lv, key=("trafo3w", t3)) - assert np.isclose(par["r_ohm"], (trafo3.vkr_lv_percent / 100) / base_Z_lv) - assert np.isclose(par["z_ohm"], (trafo3.vk_lv_percent / 100) / base_Z_lv) - assert par["weight"] == 0 - assert par["path"] == 1 - - -@pytest.mark.parametrize("library", libraries) -def test_impedance(library): - net = pandapowerNet(name="test_impedance") - add_test_impedance(net) - - impedance, _ = net.impedance.index - f, t = net.impedance.from_bus.at[impedance], net.impedance.to_bus.at[impedance] - # check that oos impedances are neglected and switches are respected - mg = create_nxgraph(net, library=library) - assert set(mg.get_edge_data(f, t).keys()) == {("impedance", impedance)} - assert set(mg.nodes()) == set(net.bus.index) - - # check not including impedances - mg = create_nxgraph(net, include_impedances=False, library=library) - assert mg.get_edge_data(f, t) is None - assert set(mg.nodes()) == set(net.bus.index) - - # check edge attributes - mg = create_nxgraph(net, calc_branch_impedances=True, branch_impedance_unit="pu", library=library) - runpp(net) - - par = mg.get_edge_data(f, t, key=("impedance", impedance)) - assert np.isclose(par["weight"], 0) - assert par["path"] == 1 - f, t = net._pd2ppc_lookups["branch"]["impedance"] - assert np.isclose(par["r_pu"], net._ppc["branch"][f, BR_R]) - assert np.isclose(par["x_pu"], net._ppc["branch"][f, BR_X]) - - -@pytest.mark.parametrize("library", libraries) -def test_bus_bus_switches(library): - net = pandapowerNet(name="test_bus_bus_switches") - add_test_bus_bus_switch(net) - - s = net.switch.index[0] - f, t = net.switch.bus.iloc[0], net.switch.element.iloc[0] - - net.switch.at[s, "closed"] = True - mg = create_nxgraph(net, library=library) - assert set(mg.get_edge_data(f, t)) == {("switch", s)} - assert set(mg.nodes()) == set(net.bus.index) - - net.switch.at[s, "closed"] = False - mg = create_nxgraph(net, library=library) - assert mg.get_edge_data(f, t) is None - assert set(mg.nodes()) == set(net.bus.index) - - mg = create_nxgraph(net, respect_switches=False, library=library) - assert set(mg.get_edge_data(f, t)) == {("switch", s)} - assert set(mg.nodes()) == set(net.bus.index) - - mg = create_nxgraph(net, respect_switches=False, calc_branch_impedances=True, library=library) - # TODO check R/X/Z values - par = mg.get_edge_data(f, t, key=("switch", s)) - assert np.isclose(par["r_ohm"], 0) - assert np.isclose(par["z_ohm"], 0) - assert np.isclose(par["weight"], 0) - assert par["path"] == 1 - - -def test_nogo(): - net = pandapowerNet(name="test_nogo") - add_test_line(net) - mg = create_nxgraph(net) - assert set(mg.nodes()) == set(net.bus.index) - mg = create_nxgraph(net, nogobuses=[0]) - assert set(mg.nodes()) == set(net.bus.index) - {0} - - -def test_branch_impedance_unit(): - net = pandapowerNet(name="test_nogo") - with pytest.raises(ValueError, match="branch impedance unit can be either 'ohm' or 'pu'"): - mg = create_nxgraph(net, branch_impedance_unit="p.u.") - - -@pytest.mark.skipif(not graph_tool_available, reason="graph_tool not available") -def test_nogo_graph_tool(): - net = pandapowerNet(name="test_nogo_graph_tool") - add_test_line(net) - mg = create_nxgraph(net, library="graph_tool") - assert set(mg.nodes()) == set(net.bus.index) - mg = create_nxgraph(net, nogobuses=[0], library="graph_tool") - with pytest.raises(AssertionError): - # This test fails, since graph_tool bus indices must be a range(0, n_buses). - # If a bus is removed, graph-tool is not working. - assert set(mg.nodes()) == set(net.bus.index) - assert set(mg.nodes()) == {0} - assert set(net.bus.index) - {0} == {3} - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +from itertools import combinations + +import numpy as np +import pytest + +from pandapower.create import create_switch +from pandapower.pypower.idx_brch import BR_R, BR_X +from pandapower.network import pandapowerNet +from pandapower.run import runpp +from pandapower.topology.create_graph import create_nxgraph, graph_tool_available + +from test.loadflow.result_test_network_generator import ( + add_test_trafo3w, + add_test_trafo, + add_test_line, + add_test_impedance, + add_test_bus_bus_switch +) +from test.loadflow.test_scenarios import network_with_trafo3ws + +libraries = ["networkx"] +if graph_tool_available: + libraries.append("graph_tool") + + +@pytest.mark.parametrize("library", libraries) +def test_line(library): + net = pandapowerNet(name="test_line") + add_test_line(net) + line, open_loop_line, _ = net.line.index + f, t = net.line.from_bus.at[line], net.line.to_bus.at[line] + + # check that oos lines are neglected and switches are respected + mg = create_nxgraph(net, library=library) + assert set(mg.get_edge_data(f, t).keys()) == {("line", line)} + assert set(mg.nodes()) == set(net.bus.index) + + # check respect_switches + mg = create_nxgraph(net, respect_switches=False, library=library) + assert set(mg.get_edge_data(f, t).keys()) == {("line", line), ("line", open_loop_line)} + assert set(mg.nodes()) == set(net.bus.index) + + # check not including lines + mg = create_nxgraph(net, include_lines=False, library=library) + assert mg.get_edge_data(f, t) is None + assert set(mg.nodes()) == set(net.bus.index) + + # check edge attributes + mg = create_nxgraph(net, calc_branch_impedances=True, library=library) + line_tab = net.line.loc[line] + par = mg.get_edge_data(f, t, key=("line", line)) + r = line_tab.length_km / line_tab.parallel * line_tab.r_ohm_per_km + x = line_tab.length_km / line_tab.parallel * line_tab.x_ohm_per_km + z = np.sqrt(r ** 2 + x ** 2) + assert np.isclose(par["r_ohm"], r) + assert np.isclose(par["x_ohm"], x) + assert np.isclose(par["z_ohm"], z) + assert np.isclose(par["weight"], line_tab.length_km) + assert par["path"] == 1 + + mg = create_nxgraph(net, calc_branch_impedances=True, branch_impedance_unit="pu", library=library) + par = mg.get_edge_data(f, t, key=("line", line)) + runpp(net) + f, t = net._pd2ppc_lookups["branch"]["line"] + assert np.isclose(par["r_pu"], net._ppc["branch"][f, BR_R]) + assert np.isclose(par["x_pu"], net._ppc["branch"][f, BR_X]) + + +@pytest.mark.parametrize("library", libraries) +def test_trafo(library): + net = pandapowerNet(name="test_trafo") + add_test_trafo(net) + + trafo, open_loop_trafo, _ = net.trafo.index + f, t = net.trafo.hv_bus.at[trafo], net.trafo.lv_bus.at[trafo] + # check that oos trafos are neglected and switches are respected + mg = create_nxgraph(net, library=library) + assert set(mg.get_edge_data(f, t).keys()) == {("trafo", trafo)} + assert set(mg.nodes()) == set(net.bus.index) + + # check respect_switches + mg = create_nxgraph(net, respect_switches=False, library=library) + assert set(mg.get_edge_data(f, t).keys()) == {("trafo", trafo), ("trafo", open_loop_trafo)} + assert set(mg.nodes()) == set(net.bus.index) + + # check not including trafos + mg = create_nxgraph(net, include_trafos=False, library=library) + assert mg.get_edge_data(f, t) is None + assert set(mg.nodes()) == set(net.bus.index) + + # check edge attributes + net.trafo.vn_hv_kv = 20 + net.trafo.vn_lv_kv = 0.4 + net.trafo.pfe_kw = 0 + net.trafo.i0_percent = 0 + mg = create_nxgraph(net, calc_branch_impedances=True, library=library) + trafo_tab = net.trafo.loc[trafo] + par = mg.get_edge_data(f, t, key=("trafo", trafo)) + base_Z = trafo_tab.sn_mva / (trafo_tab.vn_hv_kv ** 2) + r = (trafo_tab.vkr_percent / 100) / base_Z / trafo_tab.parallel + z = (trafo_tab.vk_percent / 100) / base_Z / trafo_tab.parallel + assert np.isclose(par["r_ohm"], r) + assert np.isclose(par["z_ohm"], z) + assert par["weight"] == 0 + assert par["path"] == 1 + + mg = create_nxgraph(net, calc_branch_impedances=True, branch_impedance_unit="pu", library=library) + par = mg.get_edge_data(f, t, key=("trafo", trafo)) + runpp(net) + f, t = net._pd2ppc_lookups["branch"]["trafo"] + assert np.isclose(par["r_pu"], net._ppc["branch"][f, BR_R]) + assert np.isclose(par["x_pu"], net._ppc["branch"][f, BR_X]) + + +@pytest.mark.parametrize("library", libraries) +def test_trafo3w(library): + net = pandapowerNet(name="test_trafo3w") + add_test_trafo3w(net) + + t1, t2 = net.trafo3w.index + trafo3 = net.trafo3w.iloc[t1] + hv, mv, lv = trafo3.hv_bus, trafo3.mv_bus, trafo3.lv_bus + mg = create_nxgraph(net, library=library) + for f, t in combinations([hv, mv, lv], 2): + assert set(mg.get_edge_data(f, t).keys()) == {("trafo3w", t1)} + assert set(mg.nodes()) == set(net.bus.index) + + net.trafo3w.at[t2, "in_service"] = True + mg = create_nxgraph(net, library=library) + for f, t in combinations([hv, mv, lv], 2): + assert set(mg.get_edge_data(f, t).keys()) == {("trafo3w", t1), ("trafo3w", t2)} + assert set(mg.nodes()) == set(net.bus.index) + + for sb in [hv, mv, lv]: + sw = create_switch(net, bus=sb, element=t1, et="t3", closed=False) + mg = create_nxgraph(net, library=library) + for f, t in combinations([hv, mv, lv], 2): + if sb == f or t == sb: + assert set(mg.get_edge_data(f, t).keys()) == {("trafo3w", t2)} + else: + assert set(mg.get_edge_data(f, t).keys()) == {("trafo3w", t1), ("trafo3w", t2)} + assert set(mg.nodes()) == set(net.bus.index) + net.switch.at[sw, "closed"] = True + + +@pytest.mark.parametrize("library", libraries) +def test_trafo3w_impedances(network_with_trafo3ws, library): + net, t3, hv, mv, lv = network_with_trafo3ws + net.trafo3w.vn_hv_kv = 20 + net.trafo3w.vn_mv_kv = 0.6 + net.trafo3w.vn_lv_kv = 0.4 + t3 = net.trafo3w.index[0] + + mg = create_nxgraph(net, calc_branch_impedances=True, library=library) + trafo3 = net.trafo3w.loc[t3] + hv, mv, lv = trafo3.hv_bus, trafo3.mv_bus, trafo3.lv_bus + base_Z_hv = min(trafo3.sn_hv_mva, trafo3.sn_mv_mva) / (trafo3.vn_hv_kv ** 2) + base_Z_mv = min(trafo3.sn_mv_mva, trafo3.sn_lv_mva) / (trafo3.vn_hv_kv ** 2) + base_Z_lv = min(trafo3.sn_hv_mva, trafo3.sn_lv_mva) / (trafo3.vn_hv_kv ** 2) + + par = mg.get_edge_data(hv, mv, key=("trafo3w", t3)) + assert np.isclose(par["r_ohm"], (trafo3.vkr_hv_percent / 100) / base_Z_hv) + assert np.isclose(par["z_ohm"], (trafo3.vk_hv_percent / 100) / base_Z_hv) + assert par["weight"] == 0 + assert par["path"] == 1 + + par = mg.get_edge_data(mv, lv, key=("trafo3w", t3)) + assert np.isclose(par["r_ohm"], (trafo3.vkr_mv_percent / 100) / base_Z_mv) + assert np.isclose(par["z_ohm"], (trafo3.vk_mv_percent / 100) / base_Z_mv) + assert par["weight"] == 0 + assert par["path"] == 1 + + par = mg.get_edge_data(hv, lv, key=("trafo3w", t3)) + assert np.isclose(par["r_ohm"], (trafo3.vkr_lv_percent / 100) / base_Z_lv) + assert np.isclose(par["z_ohm"], (trafo3.vk_lv_percent / 100) / base_Z_lv) + assert par["weight"] == 0 + assert par["path"] == 1 + + +@pytest.mark.parametrize("library", libraries) +def test_impedance(library): + net = pandapowerNet(name="test_impedance") + add_test_impedance(net) + + impedance, _ = net.impedance.index + f, t = net.impedance.from_bus.at[impedance], net.impedance.to_bus.at[impedance] + # check that oos impedances are neglected and switches are respected + mg = create_nxgraph(net, library=library) + assert set(mg.get_edge_data(f, t).keys()) == {("impedance", impedance)} + assert set(mg.nodes()) == set(net.bus.index) + + # check not including impedances + mg = create_nxgraph(net, include_impedances=False, library=library) + assert mg.get_edge_data(f, t) is None + assert set(mg.nodes()) == set(net.bus.index) + + # check edge attributes + mg = create_nxgraph(net, calc_branch_impedances=True, branch_impedance_unit="pu", library=library) + runpp(net) + + par = mg.get_edge_data(f, t, key=("impedance", impedance)) + assert np.isclose(par["weight"], 0) + assert par["path"] == 1 + f, t = net._pd2ppc_lookups["branch"]["impedance"] + assert np.isclose(par["r_pu"], net._ppc["branch"][f, BR_R]) + assert np.isclose(par["x_pu"], net._ppc["branch"][f, BR_X]) + + +@pytest.mark.parametrize("library", libraries) +def test_bus_bus_switches(library): + net = pandapowerNet(name="test_bus_bus_switches") + add_test_bus_bus_switch(net) + + s = net.switch.index[0] + f, t = net.switch.bus.iloc[0], net.switch.element.iloc[0] + + net.switch.at[s, "closed"] = True + mg = create_nxgraph(net, library=library) + assert set(mg.get_edge_data(f, t)) == {("switch", s)} + assert set(mg.nodes()) == set(net.bus.index) + + net.switch.at[s, "closed"] = False + mg = create_nxgraph(net, library=library) + assert mg.get_edge_data(f, t) is None + assert set(mg.nodes()) == set(net.bus.index) + + mg = create_nxgraph(net, respect_switches=False, library=library) + assert set(mg.get_edge_data(f, t)) == {("switch", s)} + assert set(mg.nodes()) == set(net.bus.index) + + mg = create_nxgraph(net, respect_switches=False, calc_branch_impedances=True, library=library) + # TODO check R/X/Z values + par = mg.get_edge_data(f, t, key=("switch", s)) + assert np.isclose(par["r_ohm"], 0) + assert np.isclose(par["z_ohm"], 0) + assert np.isclose(par["weight"], 0) + assert par["path"] == 1 + + +def test_nogo(): + net = pandapowerNet(name="test_nogo") + add_test_line(net) + mg = create_nxgraph(net) + assert set(mg.nodes()) == set(net.bus.index) + mg = create_nxgraph(net, nogobuses=[0]) + assert set(mg.nodes()) == set(net.bus.index) - {0} + + +def test_branch_impedance_unit(): + net = pandapowerNet(name="test_nogo") + with pytest.raises(ValueError, match="branch impedance unit can be either 'ohm' or 'pu'"): + mg = create_nxgraph(net, branch_impedance_unit="p.u.") + + +@pytest.mark.skipif(not graph_tool_available, reason="graph_tool not available") +def test_nogo_graph_tool(): + net = pandapowerNet(name="test_nogo_graph_tool") + add_test_line(net) + mg = create_nxgraph(net, library="graph_tool") + assert set(mg.nodes()) == set(net.bus.index) + mg = create_nxgraph(net, nogobuses=[0], library="graph_tool") + with pytest.raises(AssertionError): + # This test fails, since graph_tool bus indices must be a range(0, n_buses). + # If a bus is removed, graph-tool is not working. + assert set(mg.nodes()) == set(net.bus.index) + assert set(mg.nodes()) == {0} + assert set(net.bus.index) - {0} == {3} + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/pandapower/test/topology/test_graph_searches.py b/test/topology/test_graph_searches.py similarity index 97% rename from pandapower/test/topology/test_graph_searches.py rename to test/topology/test_graph_searches.py index 293c6b772c..82106e3aea 100644 --- a/pandapower/test/topology/test_graph_searches.py +++ b/test/topology/test_graph_searches.py @@ -1,297 +1,297 @@ -# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics -# and Energy System Technology (IEE), Kassel. All rights reserved. - -import networkx as nx -import numpy as np -import pytest - -from pandapower.create import create_bus, create_line, create_ext_grid, create_switch, \ - create_transformer, create_buses, create_impedance -from pandapower.network import pandapowerNet -from pandapower.networks.create_examples import example_simple -from pandapower.topology.create_graph import create_nxgraph -from pandapower.topology.graph_searches import connected_components, determine_stubs, calc_distance_to_bus, \ - unsupplied_buses, find_graph_characteristics, elements_on_path, lines_on_path, \ - get_end_points_of_continuously_connected_lines - - -@pytest.fixture -def feeder_network(): - net = pandapowerNet(name="feeder_network") - current_bus = create_bus(net, vn_kv=20.) - create_ext_grid(net, current_bus) - for length in [12, 6, 8]: - new_bus = create_bus(net, vn_kv=20.) - create_line(net, current_bus, new_bus, length_km=length, - std_type="NA2XS2Y 1x185 RM/25 12/20 kV") - current_bus = new_bus - create_line(net, current_bus, 0, length_km=5, std_type="NA2XS2Y 1x185 RM/25 12/20 kV") - return net - - -@pytest.fixture -def meshed_network(): - net = pandapowerNet(name="7bus_system") - - # ext grid - b = [create_bus(net, vn_kv=380., name="exi", geodata=(0, 0))] - create_ext_grid(net, b[0], name="exi") - - # create 110kV buses - for i in range(1, 7): - b.append(create_bus(net, vn_kv=110., name="bus" + str(i), geodata=(0, 0))) - # connect buses b1 to b6 with overhead lines - for i in range(1, 6): - line = create_line(net, b[i], b[i + 1], length_km=10. * i * 2., - std_type="149-AL1/24-ST1A 110.0", name="line" + str(i), index=i + 2) - create_switch(net, b[i], line, et="l", name="bl_switch_" + str(i), index=i + 3) - - # create trafo - create_transformer(net, hv_bus=b[0], lv_bus=b[1], std_type="160 MVA 380/110 kV", name="trafo") - - # create some more lines between b6-b1 and b1-b4 - create_line(net, b[1], b[4], length_km=100., std_type="149-AL1/24-ST1A 110.0", name="line6") - create_line(net, b[6], b[1], length_km=100., std_type="149-AL1/24-ST1A 110.0", name="line7") - return net - - -@pytest.fixture -def mixed_network(): - net = pandapowerNet(name="mixed_network") - create_buses(net, nr_buses=5, vn_kv=20.) - connections = [(0, 1), (1, 2), (2, 3), (2, 4)] - for fb, tb in connections: - create_line(net, fb, tb, length_km=1, std_type="NA2XS2Y 1x185 RM/25 12/20 kV") - for b in [1, 4, 3]: - create_ext_grid(net, b) - return net - - -def test_connected_components(feeder_network): - net = feeder_network - mg = create_nxgraph(net) - cc = connected_components(mg) - assert list(cc) == [{0, 1, 2, 3}] - cc_notrav = connected_components(mg, notravbuses={0, 2}) - assert list(cc_notrav) == [{0, 1, 2}, {0, 2, 3}] - - -def test_determine_stubs(feeder_network): - net = feeder_network - sec_bus = create_bus(net, vn_kv=20.) - sec_line = create_line(net, 3, sec_bus, length_km=3, std_type="NA2XS2Y 1x185 RM/25 12/20 kV") - determine_stubs(net) - assert not np.any(net.bus.on_stub.loc[list(set(net.bus.index) - {sec_bus})].values) - assert not np.any(net.line.is_stub.loc[list(set(net.line.index) - {sec_line})].values) - assert net.bus.on_stub.at[sec_bus] - assert net.line.is_stub.at[sec_line] - - -def test_determine_stubs_meshed(meshed_network): - net = meshed_network - # root == LV side of trafo at ext_grid. Then ext_grid bus itself (0) == stub - stubs = determine_stubs(net, roots=[1]) - assert len(stubs) == 1 - assert stubs.pop() == 0 - - -def test_determine_stubs_mixed(mixed_network): - net = mixed_network - stubs = determine_stubs(net, roots=[1, 4, 3]) - assert stubs == {0} - stubs = determine_stubs(net, roots=[4, 3, 1]) - assert stubs == {0} - - -def test_distance(feeder_network): - net = feeder_network - dist = calc_distance_to_bus(net, 0) - assert np.allclose(dist.sort_index().values, [0, 12, 13, 5]) - - dist = calc_distance_to_bus(net, 0, notravbuses={3}) - assert np.allclose(dist.sort_index().values, [0, 12, 18, 5]) - - create_switch(net, bus=3, element=2, et="l", closed=False) - dist = calc_distance_to_bus(net, 0) - assert np.allclose(dist.sort_index().values, [0, 12, 18, 5]) - - dist = calc_distance_to_bus(net, 0, weight=None) - assert np.allclose(dist.sort_index().values, [0, 1, 2, 1]) - - -def test_unsupplied_buses_with_in_service(): - # IS ext_grid --- open switch --- OOS bus --- open switch --- IS bus - net = pandapowerNet(name="test_unsupplied_buses_with_in_service 0") - - slack_bus = create_bus(net, 0.4) - create_ext_grid(net, slack_bus) - - bus0 = create_bus(net, 0.4, in_service=False) - create_switch(net, slack_bus, bus0, 'b', False) - - bus1 = create_bus(net, 0.4, in_service=True) - create_switch(net, bus0, bus1, 'b', False) - - ub = unsupplied_buses(net) - assert ub == {2} - - # OOS ext_grid --- closed switch --- IS bus - net = pandapowerNet(name="test_unsupplied_buses_with_in_service 1") - - bus_sl = create_bus(net, 0.4) - create_ext_grid(net, bus_sl, in_service=False) - - bus0 = create_bus(net, 0.4, in_service=True) - create_switch(net, bus_sl, bus0, 'b', True) - - ub = unsupplied_buses(net) - assert ub == {0, 1} - - -def test_unsupplied_buses_with_switches(): - net = pandapowerNet(name="test_unsupplied_buses_with_switches") - create_buses(net, 8, 20) - create_buses(net, 5, 0.4) - create_ext_grid(net, 0) - create_line(net, 0, 1, 1.2, "NA2XS2Y 1x185 RM/25 12/20 kV") - create_switch(net, 0, 0, "l", closed=True) - create_switch(net, 1, 0, "l", closed=False) - create_line(net, 0, 2, 1.2, "NA2XS2Y 1x185 RM/25 12/20 kV") - create_switch(net, 0, 1, "l", closed=False) - create_switch(net, 2, 1, "l", closed=True) - create_line(net, 0, 3, 1.2, "NA2XS2Y 1x185 RM/25 12/20 kV") - create_switch(net, 0, 2, "l", closed=False) - create_switch(net, 3, 2, "l", closed=False) - create_line(net, 0, 4, 1.2, "NA2XS2Y 1x185 RM/25 12/20 kV") - create_switch(net, 0, 3, "l", closed=True) - create_switch(net, 4, 3, "l", closed=True) - create_line(net, 0, 5, 1.2, "NA2XS2Y 1x185 RM/25 12/20 kV") - - create_switch(net, 0, 6, "b", closed=True) - create_switch(net, 0, 7, "b", closed=False) - - create_transformer(net, 0, 8, "0.63 MVA 20/0.4 kV") - create_switch(net, 0, 0, "t", closed=True) - create_switch(net, 8, 0, "t", closed=False) - create_transformer(net, 0, 9, "0.63 MVA 20/0.4 kV") - create_switch(net, 0, 1, "t", closed=False) - create_switch(net, 9, 1, "t", closed=True) - create_transformer(net, 0, 10, "0.63 MVA 20/0.4 kV") - create_switch(net, 0, 2, "t", closed=False) - create_switch(net, 10, 2, "t", closed=False) - create_transformer(net, 0, 11, "0.63 MVA 20/0.4 kV") - create_switch(net, 0, 3, "t", closed=True) - create_switch(net, 11, 3, "t", closed=True) - create_transformer(net, 0, 12, "0.63 MVA 20/0.4 kV") - - create_buses(net, 2, 20) - create_impedance(net, 0, 13, 1, 1, 10) - create_impedance(net, 0, 14, 1, 1, 10, in_service=False) - - ub = unsupplied_buses(net) - assert ub == {1, 2, 3, 7, 8, 9, 10, 14} - ub = unsupplied_buses(net, respect_switches=False) - assert ub == {14} - - -def test_graph_characteristics(feeder_network): - # adapt network - net = feeder_network - bus0 = create_bus(net, vn_kv=20.0) - bus1 = create_bus(net, vn_kv=20.0) - bus2 = create_bus(net, vn_kv=20.0) - bus3 = create_bus(net, vn_kv=20.0) - bus4 = create_bus(net, vn_kv=20.0) - bus5 = create_bus(net, vn_kv=20.0) - bus6 = create_bus(net, vn_kv=20.0) - bus7 = create_bus(net, vn_kv=20.0) - bus8 = create_bus(net, vn_kv=20.0) - bus9 = create_bus(net, vn_kv=20.0) - new_connections = [(3, bus0), (bus0, bus1), (bus0, bus2), (1, bus3), (2, bus4), (bus3, bus4), - (bus4, bus5), (bus4, bus6), (bus5, bus6), (2, bus7), (bus7, bus8), - (bus8, bus9), (bus9, bus7)] - for fb, tb in new_connections: - create_line(net, fb, tb, length_km=1.0, std_type="NA2XS2Y 1x185 RM/25 12/20 kV") - - # get characteristics - mg = create_nxgraph(net, respect_switches=False) - characteristics = ["bridges", "articulation_points", "connected", "stub_buses", - "required_bridges", "notn1_areas"] - char_dict = find_graph_characteristics(mg, net.ext_grid.bus, characteristics) - bridges = char_dict["bridges"] - articulation_points = char_dict["articulation_points"] - connected = char_dict["connected"] - stub_buses = char_dict["stub_buses"] - required_bridges = char_dict["required_bridges"] - notn1_areas = char_dict["notn1_areas"] - assert bridges == {(3, 4), (4, 5), (4, 6), (2, 11)} - assert articulation_points == {8, 3, 4, 2, 11} - assert connected == {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13} - assert stub_buses == {4, 5, 6, 11, 12, 13} - assert required_bridges == {4: [(3, 4)], 5: [(3, 4), (4, 5)], 6: [(3, 4), (4, 6)], 11: [(2, 11)], - 12: [(2, 11)], 13: [(2, 11)]} - assert notn1_areas == {8: {9, 10}, 3: {4, 5, 6}, 2: {11, 12, 13}} - - -def test_elements_on_path(): - net = example_simple() - for multi in [True, False]: - mg = create_nxgraph(net, multi=multi) - path = nx.shortest_path(mg, 0, 6) - assert elements_on_path(mg, path, "line") == [0, 3] - assert lines_on_path(mg, path) == [0, 3] - assert elements_on_path(mg, path, "trafo") == [0] - assert elements_on_path(mg, path, "trafo3w") == [] - assert elements_on_path(mg, path, "switch") == [0, 1] - with pytest.raises(ValueError) as exception_info: - elements_on_path(mg, path, element="sgen") - assert str(exception_info.value) == "Invalid element type sgen" - - -def test_end_points_of_continuously_connected_lines(): - net = pandapowerNet(name="test_end_points_of_continuously_connected_lines") - b0 = create_bus(net, vn_kv=20.) - b1 = create_bus(net, vn_kv=20.) - b2 = create_bus(net, vn_kv=20.) - b3 = create_bus(net, vn_kv=20.) - b4 = create_bus(net, vn_kv=20.) - b5 = create_bus(net, vn_kv=20.) - b5 = create_bus(net, vn_kv=20.) - b5 = create_bus(net, vn_kv=20.) - b6 = create_bus(net, vn_kv=20.) - b7 = create_bus(net, vn_kv=20.) - - l1 = create_line(net, from_bus=b0, to_bus=b1, length_km=2., std_type="34-AL1/6-ST1A 20.0") - l2 = create_line(net, from_bus=b1, to_bus=b2, length_km=2., std_type="34-AL1/6-ST1A 20.0") - create_switch(net, bus=b2, element=b3, et="b") - create_switch(net, bus=b3, element=b4, et="b") - create_switch(net, bus=b4, element=b5, et="b") - l3 = create_line(net, from_bus=b5, to_bus=b6, length_km=2., std_type="34-AL1/6-ST1A 20.0") - l4 = create_line(net, from_bus=b6, to_bus=b7, length_km=2., std_type="34-AL1/6-ST1A 20.0") - - f, t = get_end_points_of_continuously_connected_lines(net, lines=[l2, l1]) - assert {f, t} == {b0, b2} - - f, t = get_end_points_of_continuously_connected_lines(net, lines=[l2, l1, l3]) - assert {f, t} == {b0, b6} - - f, t = get_end_points_of_continuously_connected_lines(net, lines=[l3]) - assert {f, t} == {b5, b6} - - with pytest.raises(UserWarning) as exception_info: - get_end_points_of_continuously_connected_lines(net, lines=[l1, l2, l4]) - assert str(exception_info.value) == "Lines not continuously connected" - - with pytest.raises(UserWarning) as exception_info: - get_end_points_of_continuously_connected_lines(net, lines=[l1, l4]) - assert str(exception_info.value) == "Lines not continuously connected" - - b8 = create_bus(net, vn_kv=20.) - l5 = create_line(net, 8, b8, length_km=1., std_type="34-AL1/6-ST1A 20.0") - with pytest.raises(UserWarning) as exception_info: - get_end_points_of_continuously_connected_lines(net, lines=[l1, l2, l3, l4, l5]) - assert str(exception_info.value) == "Lines have branching points" - - -if __name__ == '__main__': - pytest.main([__file__, "-xs"]) +# Copyright (c) 2016-2026 by University of Kassel and Fraunhofer Institute for Energy Economics +# and Energy System Technology (IEE), Kassel. All rights reserved. + +import networkx as nx +import numpy as np +import pytest + +from pandapower.create import create_bus, create_line, create_ext_grid, create_switch, \ + create_transformer, create_buses, create_impedance +from pandapower.network import pandapowerNet +from pandapower.networks.create_examples import example_simple +from pandapower.topology.create_graph import create_nxgraph +from pandapower.topology.graph_searches import connected_components, determine_stubs, calc_distance_to_bus, \ + unsupplied_buses, find_graph_characteristics, elements_on_path, lines_on_path, \ + get_end_points_of_continuously_connected_lines + + +@pytest.fixture +def feeder_network(): + net = pandapowerNet(name="feeder_network") + current_bus = create_bus(net, vn_kv=20.) + create_ext_grid(net, current_bus) + for length in [12, 6, 8]: + new_bus = create_bus(net, vn_kv=20.) + create_line(net, current_bus, new_bus, length_km=length, + std_type="NA2XS2Y 1x185 RM/25 12/20 kV") + current_bus = new_bus + create_line(net, current_bus, 0, length_km=5, std_type="NA2XS2Y 1x185 RM/25 12/20 kV") + return net + + +@pytest.fixture +def meshed_network(): + net = pandapowerNet(name="7bus_system") + + # ext grid + b = [create_bus(net, vn_kv=380., name="exi", geodata=(0, 0))] + create_ext_grid(net, b[0], name="exi") + + # create 110kV buses + for i in range(1, 7): + b.append(create_bus(net, vn_kv=110., name="bus" + str(i), geodata=(0, 0))) + # connect buses b1 to b6 with overhead lines + for i in range(1, 6): + line = create_line(net, b[i], b[i + 1], length_km=10. * i * 2., + std_type="149-AL1/24-ST1A 110.0", name="line" + str(i), index=i + 2) + create_switch(net, b[i], line, et="l", name="bl_switch_" + str(i), index=i + 3) + + # create trafo + create_transformer(net, hv_bus=b[0], lv_bus=b[1], std_type="160 MVA 380/110 kV", name="trafo") + + # create some more lines between b6-b1 and b1-b4 + create_line(net, b[1], b[4], length_km=100., std_type="149-AL1/24-ST1A 110.0", name="line6") + create_line(net, b[6], b[1], length_km=100., std_type="149-AL1/24-ST1A 110.0", name="line7") + return net + + +@pytest.fixture +def mixed_network(): + net = pandapowerNet(name="mixed_network") + create_buses(net, nr_buses=5, vn_kv=20.) + connections = [(0, 1), (1, 2), (2, 3), (2, 4)] + for fb, tb in connections: + create_line(net, fb, tb, length_km=1, std_type="NA2XS2Y 1x185 RM/25 12/20 kV") + for b in [1, 4, 3]: + create_ext_grid(net, b) + return net + + +def test_connected_components(feeder_network): + net = feeder_network + mg = create_nxgraph(net) + cc = connected_components(mg) + assert list(cc) == [{0, 1, 2, 3}] + cc_notrav = connected_components(mg, notravbuses={0, 2}) + assert list(cc_notrav) == [{0, 1, 2}, {0, 2, 3}] + + +def test_determine_stubs(feeder_network): + net = feeder_network + sec_bus = create_bus(net, vn_kv=20.) + sec_line = create_line(net, 3, sec_bus, length_km=3, std_type="NA2XS2Y 1x185 RM/25 12/20 kV") + determine_stubs(net) + assert not np.any(net.bus.on_stub.loc[list(set(net.bus.index) - {sec_bus})].values) + assert not np.any(net.line.is_stub.loc[list(set(net.line.index) - {sec_line})].values) + assert net.bus.on_stub.at[sec_bus] + assert net.line.is_stub.at[sec_line] + + +def test_determine_stubs_meshed(meshed_network): + net = meshed_network + # root == LV side of trafo at ext_grid. Then ext_grid bus itself (0) == stub + stubs = determine_stubs(net, roots=[1]) + assert len(stubs) == 1 + assert stubs.pop() == 0 + + +def test_determine_stubs_mixed(mixed_network): + net = mixed_network + stubs = determine_stubs(net, roots=[1, 4, 3]) + assert stubs == {0} + stubs = determine_stubs(net, roots=[4, 3, 1]) + assert stubs == {0} + + +def test_distance(feeder_network): + net = feeder_network + dist = calc_distance_to_bus(net, 0) + assert np.allclose(dist.sort_index().values, [0, 12, 13, 5]) + + dist = calc_distance_to_bus(net, 0, notravbuses={3}) + assert np.allclose(dist.sort_index().values, [0, 12, 18, 5]) + + create_switch(net, bus=3, element=2, et="l", closed=False) + dist = calc_distance_to_bus(net, 0) + assert np.allclose(dist.sort_index().values, [0, 12, 18, 5]) + + dist = calc_distance_to_bus(net, 0, weight=None) + assert np.allclose(dist.sort_index().values, [0, 1, 2, 1]) + + +def test_unsupplied_buses_with_in_service(): + # IS ext_grid --- open switch --- OOS bus --- open switch --- IS bus + net = pandapowerNet(name="test_unsupplied_buses_with_in_service 0") + + slack_bus = create_bus(net, 0.4) + create_ext_grid(net, slack_bus) + + bus0 = create_bus(net, 0.4, in_service=False) + create_switch(net, slack_bus, bus0, 'b', False) + + bus1 = create_bus(net, 0.4, in_service=True) + create_switch(net, bus0, bus1, 'b', False) + + ub = unsupplied_buses(net) + assert ub == {2} + + # OOS ext_grid --- closed switch --- IS bus + net = pandapowerNet(name="test_unsupplied_buses_with_in_service 1") + + bus_sl = create_bus(net, 0.4) + create_ext_grid(net, bus_sl, in_service=False) + + bus0 = create_bus(net, 0.4, in_service=True) + create_switch(net, bus_sl, bus0, 'b', True) + + ub = unsupplied_buses(net) + assert ub == {0, 1} + + +def test_unsupplied_buses_with_switches(): + net = pandapowerNet(name="test_unsupplied_buses_with_switches") + create_buses(net, 8, 20) + create_buses(net, 5, 0.4) + create_ext_grid(net, 0) + create_line(net, 0, 1, 1.2, "NA2XS2Y 1x185 RM/25 12/20 kV") + create_switch(net, 0, 0, "l", closed=True) + create_switch(net, 1, 0, "l", closed=False) + create_line(net, 0, 2, 1.2, "NA2XS2Y 1x185 RM/25 12/20 kV") + create_switch(net, 0, 1, "l", closed=False) + create_switch(net, 2, 1, "l", closed=True) + create_line(net, 0, 3, 1.2, "NA2XS2Y 1x185 RM/25 12/20 kV") + create_switch(net, 0, 2, "l", closed=False) + create_switch(net, 3, 2, "l", closed=False) + create_line(net, 0, 4, 1.2, "NA2XS2Y 1x185 RM/25 12/20 kV") + create_switch(net, 0, 3, "l", closed=True) + create_switch(net, 4, 3, "l", closed=True) + create_line(net, 0, 5, 1.2, "NA2XS2Y 1x185 RM/25 12/20 kV") + + create_switch(net, 0, 6, "b", closed=True) + create_switch(net, 0, 7, "b", closed=False) + + create_transformer(net, 0, 8, "0.63 MVA 20/0.4 kV") + create_switch(net, 0, 0, "t", closed=True) + create_switch(net, 8, 0, "t", closed=False) + create_transformer(net, 0, 9, "0.63 MVA 20/0.4 kV") + create_switch(net, 0, 1, "t", closed=False) + create_switch(net, 9, 1, "t", closed=True) + create_transformer(net, 0, 10, "0.63 MVA 20/0.4 kV") + create_switch(net, 0, 2, "t", closed=False) + create_switch(net, 10, 2, "t", closed=False) + create_transformer(net, 0, 11, "0.63 MVA 20/0.4 kV") + create_switch(net, 0, 3, "t", closed=True) + create_switch(net, 11, 3, "t", closed=True) + create_transformer(net, 0, 12, "0.63 MVA 20/0.4 kV") + + create_buses(net, 2, 20) + create_impedance(net, 0, 13, 1, 1, 10) + create_impedance(net, 0, 14, 1, 1, 10, in_service=False) + + ub = unsupplied_buses(net) + assert ub == {1, 2, 3, 7, 8, 9, 10, 14} + ub = unsupplied_buses(net, respect_switches=False) + assert ub == {14} + + +def test_graph_characteristics(feeder_network): + # adapt network + net = feeder_network + bus0 = create_bus(net, vn_kv=20.0) + bus1 = create_bus(net, vn_kv=20.0) + bus2 = create_bus(net, vn_kv=20.0) + bus3 = create_bus(net, vn_kv=20.0) + bus4 = create_bus(net, vn_kv=20.0) + bus5 = create_bus(net, vn_kv=20.0) + bus6 = create_bus(net, vn_kv=20.0) + bus7 = create_bus(net, vn_kv=20.0) + bus8 = create_bus(net, vn_kv=20.0) + bus9 = create_bus(net, vn_kv=20.0) + new_connections = [(3, bus0), (bus0, bus1), (bus0, bus2), (1, bus3), (2, bus4), (bus3, bus4), + (bus4, bus5), (bus4, bus6), (bus5, bus6), (2, bus7), (bus7, bus8), + (bus8, bus9), (bus9, bus7)] + for fb, tb in new_connections: + create_line(net, fb, tb, length_km=1.0, std_type="NA2XS2Y 1x185 RM/25 12/20 kV") + + # get characteristics + mg = create_nxgraph(net, respect_switches=False) + characteristics = ["bridges", "articulation_points", "connected", "stub_buses", + "required_bridges", "notn1_areas"] + char_dict = find_graph_characteristics(mg, net.ext_grid.bus, characteristics) + bridges = char_dict["bridges"] + articulation_points = char_dict["articulation_points"] + connected = char_dict["connected"] + stub_buses = char_dict["stub_buses"] + required_bridges = char_dict["required_bridges"] + notn1_areas = char_dict["notn1_areas"] + assert bridges == {(3, 4), (4, 5), (4, 6), (2, 11)} + assert articulation_points == {8, 3, 4, 2, 11} + assert connected == {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13} + assert stub_buses == {4, 5, 6, 11, 12, 13} + assert required_bridges == {4: [(3, 4)], 5: [(3, 4), (4, 5)], 6: [(3, 4), (4, 6)], 11: [(2, 11)], + 12: [(2, 11)], 13: [(2, 11)]} + assert notn1_areas == {8: {9, 10}, 3: {4, 5, 6}, 2: {11, 12, 13}} + + +def test_elements_on_path(): + net = example_simple() + for multi in [True, False]: + mg = create_nxgraph(net, multi=multi) + path = nx.shortest_path(mg, 0, 6) + assert elements_on_path(mg, path, "line") == [0, 3] + assert lines_on_path(mg, path) == [0, 3] + assert elements_on_path(mg, path, "trafo") == [0] + assert elements_on_path(mg, path, "trafo3w") == [] + assert elements_on_path(mg, path, "switch") == [0, 1] + with pytest.raises(ValueError) as exception_info: + elements_on_path(mg, path, element="sgen") + assert str(exception_info.value) == "Invalid element type sgen" + + +def test_end_points_of_continuously_connected_lines(): + net = pandapowerNet(name="test_end_points_of_continuously_connected_lines") + b0 = create_bus(net, vn_kv=20.) + b1 = create_bus(net, vn_kv=20.) + b2 = create_bus(net, vn_kv=20.) + b3 = create_bus(net, vn_kv=20.) + b4 = create_bus(net, vn_kv=20.) + b5 = create_bus(net, vn_kv=20.) + b5 = create_bus(net, vn_kv=20.) + b5 = create_bus(net, vn_kv=20.) + b6 = create_bus(net, vn_kv=20.) + b7 = create_bus(net, vn_kv=20.) + + l1 = create_line(net, from_bus=b0, to_bus=b1, length_km=2., std_type="34-AL1/6-ST1A 20.0") + l2 = create_line(net, from_bus=b1, to_bus=b2, length_km=2., std_type="34-AL1/6-ST1A 20.0") + create_switch(net, bus=b2, element=b3, et="b") + create_switch(net, bus=b3, element=b4, et="b") + create_switch(net, bus=b4, element=b5, et="b") + l3 = create_line(net, from_bus=b5, to_bus=b6, length_km=2., std_type="34-AL1/6-ST1A 20.0") + l4 = create_line(net, from_bus=b6, to_bus=b7, length_km=2., std_type="34-AL1/6-ST1A 20.0") + + f, t = get_end_points_of_continuously_connected_lines(net, lines=[l2, l1]) + assert {f, t} == {b0, b2} + + f, t = get_end_points_of_continuously_connected_lines(net, lines=[l2, l1, l3]) + assert {f, t} == {b0, b6} + + f, t = get_end_points_of_continuously_connected_lines(net, lines=[l3]) + assert {f, t} == {b5, b6} + + with pytest.raises(UserWarning) as exception_info: + get_end_points_of_continuously_connected_lines(net, lines=[l1, l2, l4]) + assert str(exception_info.value) == "Lines not continuously connected" + + with pytest.raises(UserWarning) as exception_info: + get_end_points_of_continuously_connected_lines(net, lines=[l1, l4]) + assert str(exception_info.value) == "Lines not continuously connected" + + b8 = create_bus(net, vn_kv=20.) + l5 = create_line(net, 8, b8, length_km=1., std_type="34-AL1/6-ST1A 20.0") + with pytest.raises(UserWarning) as exception_info: + get_end_points_of_continuously_connected_lines(net, lines=[l1, l2, l3, l4, l5]) + assert str(exception_info.value) == "Lines have branching points" + + +if __name__ == '__main__': + pytest.main([__file__, "-xs"]) diff --git a/tutorials/European_LV_CSV/LoadShapes.csv b/tutorials/European_LV_CSV/LoadShapes.csv new file mode 100644 index 0000000000..a0841dec34 --- /dev/null +++ b/tutorials/European_LV_CSV/LoadShapes.csv @@ -0,0 +1,57 @@ +# Load Shapes,,,, +Name,npts,minterval,File,useactual +Shape_1,1440,1,Load_profile_1.csv,TRUE +Shape_2,1440,1,Load_profile_2.csv,TRUE +Shape_3,1440,1,Load_profile_3.csv,TRUE +Shape_4,1440,1,Load_profile_4.csv,TRUE +Shape_5,1440,1,Load_profile_5.csv,TRUE +Shape_6,1440,1,Load_profile_6.csv,TRUE +Shape_7,1440,1,Load_profile_7.csv,TRUE +Shape_8,1440,1,Load_profile_8.csv,TRUE +Shape_9,1440,1,Load_profile_9.csv,TRUE +Shape_10,1440,1,Load_profile_10.csv,TRUE +Shape_11,1440,1,Load_profile_11.csv,TRUE +Shape_12,1440,1,Load_profile_12.csv,TRUE +Shape_13,1440,1,Load_profile_13.csv,TRUE +Shape_14,1440,1,Load_profile_14.csv,TRUE +Shape_15,1440,1,Load_profile_15.csv,TRUE +Shape_16,1440,1,Load_profile_16.csv,TRUE +Shape_17,1440,1,Load_profile_17.csv,TRUE +Shape_18,1440,1,Load_profile_18.csv,TRUE +Shape_19,1440,1,Load_profile_19.csv,TRUE +Shape_20,1440,1,Load_profile_20.csv,TRUE +Shape_21,1440,1,Load_profile_21.csv,TRUE +Shape_22,1440,1,Load_profile_22.csv,TRUE +Shape_23,1440,1,Load_profile_23.csv,TRUE +Shape_24,1440,1,Load_profile_24.csv,TRUE +Shape_25,1440,1,Load_profile_25.csv,TRUE +Shape_26,1440,1,Load_profile_26.csv,TRUE +Shape_27,1440,1,Load_profile_27.csv,TRUE +Shape_28,1440,1,Load_profile_28.csv,TRUE +Shape_29,1440,1,Load_profile_29.csv,TRUE +Shape_30,1440,1,Load_profile_30.csv,TRUE +Shape_31,1440,1,Load_profile_31.csv,TRUE +Shape_32,1440,1,Load_profile_32.csv,TRUE +Shape_33,1440,1,Load_profile_33.csv,TRUE +Shape_34,1440,1,Load_profile_34.csv,TRUE +Shape_35,1440,1,Load_profile_35.csv,TRUE +Shape_36,1440,1,Load_profile_36.csv,TRUE +Shape_37,1440,1,Load_profile_37.csv,TRUE +Shape_38,1440,1,Load_profile_38.csv,TRUE +Shape_39,1440,1,Load_profile_39.csv,TRUE +Shape_40,1440,1,Load_profile_40.csv,TRUE +Shape_41,1440,1,Load_profile_41.csv,TRUE +Shape_42,1440,1,Load_profile_42.csv,TRUE +Shape_43,1440,1,Load_profile_43.csv,TRUE +Shape_44,1440,1,Load_profile_44.csv,TRUE +Shape_45,1440,1,Load_profile_45.csv,TRUE +Shape_46,1440,1,Load_profile_46.csv,TRUE +Shape_47,1440,1,Load_profile_47.csv,TRUE +Shape_48,1440,1,Load_profile_48.csv,TRUE +Shape_49,1440,1,Load_profile_49.csv,TRUE +Shape_50,1440,1,Load_profile_50.csv,TRUE +Shape_51,1440,1,Load_profile_51.csv,TRUE +Shape_52,1440,1,Load_profile_52.csv,TRUE +Shape_53,1440,1,Load_profile_53.csv,TRUE +Shape_54,1440,1,Load_profile_54.csv,TRUE +Shape_55,1440,1,Load_profile_55.csv,TRUE diff --git a/tutorials/European_LV_CSV/Load_Profiles/Load_profile_1.csv b/tutorials/European_LV_CSV/Load_Profiles/Load_profile_1.csv new file mode 100644 index 0000000000..116a356dad --- /dev/null +++ b/tutorials/European_LV_CSV/Load_Profiles/Load_profile_1.csv @@ -0,0 +1,1441 @@ 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+23:52:00,0.678 +23:53:00,0.678 +23:54:00,0.678 +23:55:00,0.558 +23:56:00,0.578 +23:57:00,0.678 +23:58:00,0.678 +23:59:00,0.738 +24:00:00,0.738 diff --git a/tutorials/European_LV_CSV/Loads.csv b/tutorials/European_LV_CSV/Loads.csv new file mode 100644 index 0000000000..256565141f --- /dev/null +++ b/tutorials/European_LV_CSV/Loads.csv @@ -0,0 +1,58 @@ +# Loads ,,,,,,,,, +# Model 1 is constant PQ,,,,,,,,, +Name,numPhases,Bus,phases,kV,Model,Connection,kW,PF,Yearly +LOAD1,1,34,A,0.23,1,wye,1,0.95,Shape_1 +LOAD2,1,47,B,0.23,1,wye,1,0.95,Shape_2 +LOAD3,1,70,A,0.23,1,wye,1,0.95,Shape_3 +LOAD4,1,73,A,0.23,1,wye,1,0.95,Shape_4 +LOAD5,1,74,A,0.23,1,wye,1,0.95,Shape_5 +LOAD6,1,83,B,0.23,1,wye,1,0.95,Shape_6 +LOAD7,1,178,B,0.23,1,wye,1,0.95,Shape_7 +LOAD8,1,208,C,0.23,1,wye,1,0.95,Shape_8 +LOAD9,1,225,A,0.23,1,wye,1,0.95,Shape_9 +LOAD10,1,248,B,0.23,1,wye,1,0.95,Shape_10 +LOAD11,1,249,B,0.23,1,wye,1,0.95,Shape_11 +LOAD12,1,264,C,0.23,1,wye,1,0.95,Shape_12 +LOAD13,1,276,B,0.23,1,wye,1,0.95,Shape_13 +LOAD14,1,289,A,0.23,1,wye,1,0.95,Shape_14 +LOAD15,1,314,B,0.23,1,wye,1,0.95,Shape_15 +LOAD16,1,320,C,0.23,1,wye,1,0.95,Shape_16 +LOAD17,1,327,C,0.23,1,wye,1,0.95,Shape_17 +LOAD18,1,337,C,0.23,1,wye,1,0.95,Shape_18 +LOAD19,1,342,C,0.23,1,wye,1,0.95,Shape_19 +LOAD20,1,349,A,0.23,1,wye,1,0.95,Shape_20 +LOAD21,1,387,A,0.23,1,wye,1,0.95,Shape_21 +LOAD22,1,388,A,0.23,1,wye,1,0.95,Shape_22 +LOAD23,1,406,B,0.23,1,wye,1,0.95,Shape_23 +LOAD24,1,458,C,0.23,1,wye,1,0.95,Shape_24 +LOAD25,1,502,A,0.23,1,wye,1,0.95,Shape_25 +LOAD26,1,522,B,0.23,1,wye,1,0.95,Shape_26 +LOAD27,1,539,C,0.23,1,wye,1,0.95,Shape_27 +LOAD28,1,556,C,0.23,1,wye,1,0.95,Shape_28 +LOAD29,1,562,A,0.23,1,wye,1,0.95,Shape_29 +LOAD30,1,563,A,0.23,1,wye,1,0.95,Shape_30 +LOAD31,1,611,A,0.23,1,wye,1,0.95,Shape_31 +LOAD32,1,614,C,0.23,1,wye,1,0.95,Shape_32 +LOAD33,1,619,C,0.23,1,wye,1,0.95,Shape_33 +LOAD34,1,629,A,0.23,1,wye,1,0.95,Shape_34 +LOAD35,1,639,B,0.23,1,wye,1,0.95,Shape_35 +LOAD36,1,676,B,0.23,1,wye,1,0.95,Shape_36 +LOAD37,1,682,B,0.23,1,wye,1,0.95,Shape_37 +LOAD38,1,688,B,0.23,1,wye,1,0.95,Shape_38 +LOAD39,1,701,C,0.23,1,wye,1,0.95,Shape_39 +LOAD40,1,702,B,0.23,1,wye,1,0.95,Shape_40 +LOAD41,1,755,B,0.23,1,wye,1,0.95,Shape_41 +LOAD42,1,778,C,0.23,1,wye,1,0.95,Shape_42 +LOAD43,1,780,C,0.23,1,wye,1,0.95,Shape_43 +LOAD44,1,785,B,0.23,1,wye,1,0.95,Shape_44 +LOAD45,1,813,B,0.23,1,wye,1,0.95,Shape_45 +LOAD46,1,817,A,0.23,1,wye,1,0.95,Shape_46 +LOAD47,1,835,C,0.23,1,wye,1,0.95,Shape_47 +LOAD48,1,860,A,0.23,1,wye,1,0.95,Shape_48 +LOAD49,1,861,A,0.23,1,wye,1,0.95,Shape_49 +LOAD50,1,886,B,0.23,1,wye,1,0.95,Shape_50 +LOAD51,1,896,A,0.23,1,wye,1,0.95,Shape_51 +LOAD52,1,898,A,0.23,1,wye,1,0.95,Shape_52 +LOAD53,1,899,B,0.23,1,wye,1,0.95,Shape_53 +LOAD54,1,900,A,0.23,1,wye,1,0.95,Shape_54 +LOAD55,1,906,A,0.23,1,wye,1,0.95,Shape_55 diff --git a/tutorials/FACTS.ipynb b/tutorials/FACTS.ipynb index 24acd03269..1a4a2fbbfb 100644 --- a/tutorials/FACTS.ipynb +++ b/tutorials/FACTS.ipynb @@ -20,7 +20,7 @@ "\n", "We reproduce the case study from the source using the following grid model:\n", "\n", - "![title](facts/facts_case_study_grid.png)\n", + "![facts case study grid layout](facts/facts_case_study_grid.png)\n", "\n", "So far, we have implemented the following FACTS devices:\n", "- Static Var Compensator (SVC)\n", @@ -55,7 +55,6 @@ "import pandas as pd\n", "import numpy as np\n", "\n", - "from pandapower.test.loadflow.test_facts import facts_case_study_grid\n", "from pandapower.timeseries import DFData, OutputWriter\n", "from pandapower.timeseries.run_time_series import run_timeseries\n", "from pandapower.control import ConstControl\n", @@ -77,7 +76,8 @@ " create_ext_grid,\n", ")\n", "from pandapower.toolbox.grid_modification import drop_lines\n", - "from pandapower.plotting.simple_plot import simple_plot" + "from pandapower.plotting.simple_plot import simple_plot\n", + "from pandapower.networks.facts_case_study_grid import facts_case_study_grid" ] }, { diff --git a/tutorials/diagnostic.ipynb b/tutorials/diagnostic.ipynb index 7d2c412408..ec2e46f9a6 100644 --- a/tutorials/diagnostic.ipynb +++ b/tutorials/diagnostic.ipynb @@ -24,7 +24,7 @@ "from pandapower.run import runpp\n", "from pandapower.network import pandapowerNet\n", "from pandapower.diagnostic import Diagnostic\n", - "from pandapower.diagnostic.diagnostic_helpers import diagnostic" + "from pandapower.diagnostic.diagnostic import diagnostic" ] }, { diff --git a/tutorials/ieee_european_lv_time_series.ipynb b/tutorials/ieee_european_lv_time_series.ipynb index 3854ac99a9..9201ba6f53 100644 --- a/tutorials/ieee_european_lv_time_series.ipynb +++ b/tutorials/ieee_european_lv_time_series.ipynb @@ -21,7 +21,7 @@ "\n", "The Sum total of power and maximum voltage is plotted with respect to 1440 time steps( 1 min interval) during the day:" ], - "id": "cc301b1106083f23" + "id": "2f38f6e1fab732ac" }, { "metadata": {}, @@ -39,12 +39,11 @@ "from pandapower.timeseries import OutputWriter\n", "from pandapower.timeseries.run_time_series import run_timeseries\n", "from pandapower.networks import ieee_european_lv_asymmetric\n", - "\n", - "from pandapower.test import test_path\n", + "from pandapower import pp_dir\n", "\n", "warnings.simplefilter(action='ignore', category=FutureWarning)\n", "\n", - "parent = os.path.join(test_path, 'test_files')\n", + "parent = os.path.join(pp_dir, '..', 'test', 'test_files')\n", "path = os.path.join(parent, \"European_LV_CSV\")\n", "load_path = os.path.join(path, \"Load_Profiles\")\n", "\n", @@ -75,7 +74,7 @@ " f = remove_comments(f)\n", " loadshapes = pd.read_csv(f)" ], - "id": "d2c7d3a081e757ab" + "id": "d5aecad6ee8f7508" }, { "metadata": {}, @@ -111,7 +110,7 @@ " patch_type=\"circle\", size=sizes['bus'], color=\"g\", zorder=11)\n", "plot.draw_collections([lcd, bc, tlc, tpc, sc, ldA, ldB, ldC], figsize=(10, 7))" ], - "id": "aae09a47743385d6" + "id": "e00bb79070c63078" }, { "metadata": {}, @@ -128,7 +127,7 @@ "\n", "Function to load time series data and perform time-series **three phase load flow**" ], - "id": "8036999cb22c7a7" + "id": "f518436b2816ba1c" }, { "metadata": {}, @@ -155,7 +154,7 @@ " # 5. the main time series function\n", " run_timeseries(net, time_steps, output_writer=ow, run=runpp_3ph, continue_on_divergence=True)" ], - "id": "3e09da4b5fc0e6c0" + "id": "9b7742f749372c67" }, { "metadata": {}, @@ -164,7 +163,7 @@ "# Data source\n", "Data taken from csv data provided in IEEE benchmark grid" ], - "id": "76598f1f8c6aa81b" + "id": "300ac583c9553ff1" }, { "metadata": {}, @@ -182,7 +181,7 @@ " ds = DFData(profiles)\n", " return profiles, ds" ], - "id": "4417952823cbbe32" + "id": "e8668cd4272d1d65" }, { "metadata": {}, @@ -191,7 +190,7 @@ "# Time series controller\n", "P, Q values entered using P and power factor(cos_phi) data" ], - "id": "4e2969213af104d0" + "id": "b5fafa7abe56b378" }, { "metadata": {}, @@ -216,7 +215,7 @@ " data_source=ds, profile_name=loads[loads['phases'] == 'C'].Yearly + '_Q')\n", " return net\n" ], - "id": "bae72d3f3b7b8090" + "id": "61d2152cf661cf94" }, { "metadata": {}, @@ -226,7 +225,7 @@ "- Maximum bus voltage magnitude for each time step\n", "- Aggregated Sum of P & Q values for each time step" ], - "id": "fec27b378650c65a" + "id": "29379d7dc72c83df" }, { "metadata": {}, @@ -250,13 +249,13 @@ " ow.log_variable('res_bus_3ph', 'va_c_degree', index=[614]) # Load 32 Phase C\n", " return ow" ], - "id": "36e7669fb7a3f851" + "id": "9c627fc181a059ac" }, { "metadata": {}, "cell_type": "markdown", "source": "# Main Function", - "id": "9a4130cdc1847020" + "id": "1cbd482873a779ac" }, { "metadata": {}, @@ -270,7 +269,7 @@ " os.mkdir(output_dir)\n", "timeseries_example(output_dir)" ], - "id": "8ce745dbcdae10f7" + "id": "87dc6adf282ce992" }, { "metadata": {}, @@ -282,7 +281,7 @@ "\n", "\n" ], - "id": "1fa9728ff781fd96" + "id": "46658ee442929951" }, { "metadata": {}, @@ -331,7 +330,7 @@ "df_pp = df_pp.sort_index()\n", "\n" ], - "id": "14515665b1061adf" + "id": "caa499893ffc4493" }, { "metadata": {}, @@ -345,7 +344,7 @@ "- Difference between pandapower OpenDSS (time-series values)\n", "\n" ], - "id": "fd5e3ca1cdb59020" + "id": "277dfd4f1568cfd6" }, { "metadata": {}, @@ -362,7 +361,7 @@ "ax1.yaxis.set_label_text(\"voltage mag. [Volts]\")\n", "ax1.set_title(\"Load Voltages (pandapower) / V\")" ], - "id": "ae88e60dc59e0237" + "id": "396e8b268324cb86" }, { "metadata": {}, @@ -373,11 +372,9 @@ "\n", "**Voltage values are taken from three loads of each phase :**\n", "\n", - "Load #1 Phase A\n", - "\n", - "Load #53 Phase B\n", - "\n", - "Load #32 Phase C\n", + "- Load #1 Phase A\n", + "- Load #53 Phase B\n", + "- Load #32 Phase C\n", "\n", "\n", "\n", @@ -385,7 +382,7 @@ "\n", "" ], - "id": "d47cbc6b66b1667c" + "id": "d1238aceaef3b72a" } ], "metadata": {}, diff --git a/tutorials/ltds2pp_without_ssh.ipynb b/tutorials/ltds2pp_without_ssh.ipynb index edfc725d17..5804a7a665 100644 --- a/tutorials/ltds2pp_without_ssh.ipynb +++ b/tutorials/ltds2pp_without_ssh.ipynb @@ -4,7 +4,7 @@ "metadata": {}, "cell_type": "markdown", "source": " # Converting a grid model from LTDS to pandapower\n", - "id": "eb845ac85a71a0fa" + "id": "7afad5ca1ba749c4" }, { "metadata": {}, @@ -26,13 +26,13 @@ "\n", "Once approved, CIM data is published as XML file attachments (one per licence area: EPN, SPN, LPN). You can download the XML files directly from the portal." ], - "id": "3e90c25847c7156c" + "id": "faeca608d25cab51" }, { "metadata": {}, "cell_type": "markdown", "source": "Import the pandapower library and the neccessary methods for the conversion as follows:", - "id": "ed7a893a75a9c4d4" + "id": "69d618811aaca08" }, { "metadata": {}, @@ -51,7 +51,7 @@ "pd.set_option('display.max_colwidth', None)\n", "pd.set_option('display.max_rows', None)" ], - "id": "5b81a7cbedb2c986" + "id": "6bb8e6537eadacea" }, { "metadata": {}, @@ -67,7 +67,7 @@ "generation:\n", "https://ukpowernetworks.opendatasoft.com/explore/assets/ltds-table-5-generation/view/" ], - "id": "a1a2455bc37e8e32" + "id": "bdb91e65aa7c2e9a" }, { "metadata": {}, @@ -235,7 +235,7 @@ "\n", "print('Conversion successful')" ], - "id": "69a63f1a1cffdfcc" + "id": "9734564488c03999" }, { "metadata": {}, @@ -244,7 +244,7 @@ "## Get an overview over your grid\n", "Once the network is converted to pandapower, the data can be displayed:" ], - "id": "b6f9e1d1539600c6" + "id": "d3e345694a0afeda" }, { "metadata": {}, @@ -252,7 +252,7 @@ "outputs": [], "execution_count": null, "source": "print(net)", - "id": "8c2ddd7d39577c46" + "id": "3e2dce2d8bb442f" }, { "metadata": {}, @@ -261,7 +261,7 @@ "## Export your grid\n", "There are different options to export, for example as JSON, Excel or CSV:" ], - "id": "b72df3393a003acc" + "id": "57a91608ef1626b1" }, { "metadata": {}, @@ -281,13 +281,13 @@ "else:\n", " print(\"Please provide a valid path for exporting the CSV data.\")" ], - "id": "b5c382ddc7e58e26" + "id": "800127b394727d1e" }, { "metadata": {}, "cell_type": "markdown", "source": "## Display the nodes", - "id": "af0ebff38fc5862" + "id": "35f85f81c41c26db" }, { "metadata": {}, @@ -298,13 +298,13 @@ "print(f\"Overview over the nodes: {net.bus.describe()}\")\n", "print(f\"The nodes: {net.bus.loc[:100]}\")" ], - "id": "843d4ec334839b28" + "id": "d8e83339d27f8aef" }, { "metadata": {}, "cell_type": "markdown", "source": "## Display the lines", - "id": "f9161173a0dc23c4" + "id": "c13f9e489a2acd1e" }, { "metadata": {}, @@ -315,13 +315,13 @@ "print(f\"Overview over the lines: {net.line.describe()}\")\n", "print(f\"The lines: {net.line.loc[:100]}\")" ], - "id": "8d0a00535dbc56cd" + "id": "f0a3801efdd75993" }, { "metadata": {}, "cell_type": "markdown", "source": "## Display the transformers", - "id": "23b73470b50156f5" + "id": "91cf0fd8f6b7c5a7" }, { "metadata": {}, @@ -336,13 +336,13 @@ "print(f\"Overview over the 3W transformers: {net.trafo3w.describe()}\")\n", "print(f\"The 3W transformers: {net.trafo3w.loc[:100]}\")" ], - "id": "362e78119b98d8a7" + "id": "3503486763ec2372" }, { "metadata": {}, "cell_type": "markdown", "source": "## Display the loads", - "id": "a815d3b0c2ac3c28" + "id": "f3088bd5e30698ef" }, { "metadata": {}, @@ -353,13 +353,13 @@ "print(f\"Overview over the loads: {net.load.describe()}\")\n", "print(f\"The loads: {net.load.loc[:100]}\")" ], - "id": "b8a6fdc3fc6ed9e" + "id": "2f9289b165c794ff" }, { "metadata": {}, "cell_type": "markdown", "source": "## Display the generation", - "id": "1d3180fc4103ca35" + "id": "8a43b4edcf69394" }, { "metadata": {}, @@ -373,7 +373,7 @@ "print(f\"Overview over the PV generators: {net.gen.describe()}\")\n", "print(f\"The PV generators: {net.gen.loc[:100]}\")" ], - "id": "6f87492e294580fa" + "id": "cee2815a8d5dfd0a" }, { "metadata": {}, @@ -382,7 +382,7 @@ "## Get only HV elements from the grid\n", "In pandapower we are using pandas DataFrames, you can create your queries like you wish. Here is an example to get HV (110kV) elements from your grid." ], - "id": "dadb80d8130ebb55" + "id": "b1b5a2c8ae0e33a3" }, { "metadata": {}, @@ -393,7 +393,7 @@ "print(\"the HV nodes first\")\n", "print(net.bus.loc[(net.bus.vn_kv > 100) & (net.bus.vn_kv < 150)])" ], - "id": "9123491ca9c5b6f" + "id": "c9b4c6819b70ae93" }, { "metadata": {}, @@ -405,7 +405,7 @@ "net.line['vn_kv_bus'] = net.line.from_bus.map(net.bus.vn_kv)\n", "print(net.line.loc[(net.line.vn_kv_bus > 100) & (net.line.vn_kv_bus < 150)])" ], - "id": "2c81fe3c6891cba7" + "id": "22fb12c36e838bbf" }, { "metadata": {}, @@ -416,7 +416,7 @@ "print(\"now the HV 2W trafos\")\n", "print(net.trafo.loc[(net.trafo.vn_hv_kv > 100) & (net.trafo.vn_hv_kv < 150)])" ], - "id": "305e12ebbaa7e926" + "id": "888d88ef3ffc2a85" }, { "metadata": {}, @@ -427,7 +427,7 @@ "print(\"now the HV 3W trafos\")\n", "print(net.trafo3w.loc[(net.trafo3w.vn_hv_kv > 100) & (net.trafo3w.vn_hv_kv < 150)])" ], - "id": "7eec81d73db42944" + "id": "492619608b74bdf3" }, { "metadata": {}, @@ -439,7 +439,7 @@ "net.load['vn_kv_bus'] = net.load.bus.map(net.bus.vn_kv)\n", "print(net.load.loc[(net.load.vn_kv_bus > 100) & (net.load.vn_kv_bus < 150)])" ], - "id": "7bd55fa3e108c91d" + "id": "dcdad9cd7c016a10" }, { "metadata": {}, @@ -451,7 +451,7 @@ "net.sgen['vn_kv_bus'] = net.sgen.bus.map(net.bus.vn_kv)\n", "print(net.sgen.loc[(net.sgen.vn_kv_bus > 100) & (net.sgen.vn_kv_bus < 150)])" ], - "id": "48b9caa3bf285174" + "id": "48fd307c76ee55e6" }, { "metadata": {}, @@ -463,7 +463,7 @@ "net.gen['vn_kv_bus'] = net.gen.bus.map(net.bus.vn_kv)\n", "print(net.gen.loc[(net.gen.vn_kv_bus > 100) & (net.gen.vn_kv_bus < 150)])" ], - "id": "13a7d0af3fa5769f" + "id": "ff0e7fd4a728f1bb" } ], "metadata": {}, diff --git a/tutorials/opf_basic.ipynb b/tutorials/opf_basic.ipynb index abb50f5b13..5c84b64413 100644 --- a/tutorials/opf_basic.ipynb +++ b/tutorials/opf_basic.ipynb @@ -20,7 +20,7 @@ "cell_type": "code", "metadata": {}, "source": [ - "from pandapower.create._utils import add_column_to_df\n", + "from pandapower.create.utils import add_column_to_df\n", "from pandapower.create import (\n", " create_bus,\n", " create_lines,\n", @@ -62,7 +62,7 @@ "\n", "#create generators\n", "eg = create_ext_grid(net, bus1, min_p_mw=-1000, max_p_mw=1000)\n", - "g0 = create_gen(net, bus3, p_mw=80, min_p_mw=0, max_p_mw=80, vm_pu=1.01, controllable=True)\n", + "g0 = create_gen(net, bus3, p_mw=80, min_p_mw=0, max_p_mw=80, vm_pu=1.01, controllable=True)\n", "g1 = create_gen(net, bus4, p_mw=100, min_p_mw=0, max_p_mw=100, vm_pu=1.01, controllable=True)" ], "outputs": [], @@ -100,7 +100,7 @@ "metadata": {}, "source": [ "# add missing opf columns to gen df\n", - "cols = ['max_q_mvar', 'min_q_mvar', 'max_p_mw', 'min_p_mw', 'controllable', 'min_vm_pu', 'max_vm_pu'] # gen\n", + "cols = ['max_q_mvar', 'min_q_mvar', 'max_p_mw', 'min_p_mw', 'controllable', 'min_vm_pu', 'max_vm_pu'] # gen\n", "for col in cols:\n", " add_column_to_df(net, \"gen\", col)\n", "\n", diff --git a/tutorials/opf_dcline.ipynb b/tutorials/opf_dcline.ipynb index e5b005a3c5..0a2936caed 100644 --- a/tutorials/opf_dcline.ipynb +++ b/tutorials/opf_dcline.ipynb @@ -30,7 +30,7 @@ " create_poly_cost\n", ")\n", "from pandapower.run import runpp, runopp\n", - "from pandapower.create._utils import add_column_to_df" + "from pandapower.create.utils import add_column_to_df" ], "outputs": [], "execution_count": null diff --git a/tutorials/pandamodels_storage.ipynb b/tutorials/pandamodels_storage.ipynb index a58587f44c..16a5a9cc4a 100644 --- a/tutorials/pandamodels_storage.ipynb +++ b/tutorials/pandamodels_storage.ipynb @@ -1,12 +1,8 @@ { "cells": [ { + "metadata": {}, "cell_type": "markdown", - "metadata": { - "pycharm": { - "name": "#%% md\n" - } - }, "source": [ "# Multinetwork storage optimization with PandaModels.jl\n", "This tutorial describes how to run a storage optimization over multiple timesteps with a PandaModels.jl multinetwork\n", @@ -44,11 +40,17 @@ "## 1) Get the grid data\n", "We load the cigre medium voltage grid with \"pv\" and \"wind\" generators. Also we set some limits and add a storage with\n", "**controllable** == True\n" - ] + ], + "id": "dcb1edc5a081e6e6" }, { + "metadata": { + "ExecuteTime": { + "end_time": "2026-06-18T12:50:32.741282066Z", + "start_time": "2026-06-18T12:50:31.541997624Z" + } + }, "cell_type": "code", - "metadata": {}, "source": [ "import pandas as pd\n", "from pandapower.networks.cigre_networks import create_cigre_network_mv\n", @@ -58,12 +60,18 @@ "from pandapower.control import ConstControl\n", "from pandapower.timeseries import DFData" ], + "id": "23bb3744c7a482ea", "outputs": [], - "execution_count": null + "execution_count": 1 }, { + "metadata": { + "ExecuteTime": { + "end_time": "2026-06-18T12:50:32.759088653Z", + "start_time": "2026-06-18T12:50:32.744820800Z" + } + }, "cell_type": "code", - "metadata": {}, "source": [ "def cigre_grid():\n", " net = create_cigre_network_mv(\"pv_wind\")\n", @@ -83,25 +91,28 @@ "\n", " return net" ], + "id": "69b11d6b2bfc5112", "outputs": [], - "execution_count": null + "execution_count": 2 }, { - "cell_type": "markdown", "metadata": {}, + "cell_type": "markdown", "source": [ "## 2) Convert the time series to pandapower-controllers\n", "The following functions loads the example time series from the input_file and scales the power accordingly.\n", "It then adds the time series data to the grid model by creating controllers.\n" - ] + ], + "id": "4ba7862308a7535f" }, { - "cell_type": "code", "metadata": { - "pycharm": { - "name": "#%%\n" + "ExecuteTime": { + "end_time": "2026-06-18T12:50:32.770139590Z", + "start_time": "2026-06-18T12:50:32.760866545Z" } }, + "cell_type": "code", "source": [ "def convert_timeseries_to_controller(net, input_file):\n", " # set the load type in the cigre grid, since it is not specified\n", @@ -139,24 +150,27 @@ " element_index=net.sgen.index.tolist(), profile_name=net.sgen.index.tolist(),\n", " data_source=DFData(sgen_ts))" ], + "id": "676cb4a066f52858", "outputs": [], - "execution_count": null + "execution_count": 3 }, { - "cell_type": "markdown", "metadata": {}, + "cell_type": "markdown", "source": [ "## 3) Start the optimization \n", "Before we start the optimization, we create the grid and controller, adding the time series in 15min resolution. \n" - ] + ], + "id": "1187e070178bfc68" }, { - "cell_type": "code", "metadata": { - "pycharm": { - "name": "#%%\n" + "ExecuteTime": { + "end_time": "2026-06-18T12:50:33.067148682Z", + "start_time": "2026-06-18T12:50:32.771363377Z" } }, + "cell_type": "code", "source": [ "# open the cigre mv grid\n", "net = cigre_grid()\n", @@ -165,19 +179,24 @@ "input_file = \"cigre_timeseries_15min.json\"\n", "convert_timeseries_to_controller(net, input_file)" ], + "id": "e494e8aa1b99619c", "outputs": [], - "execution_count": null + "execution_count": 4 }, { - "cell_type": "markdown", "metadata": {}, - "source": [ - "Now, the time series is added through (const) controllers, and you can check the created controllers\n" - ] + "cell_type": "markdown", + "source": "Now, the time series is added through (const) controllers, and you can check the created controllers\n", + "id": "efae2e66978d894d" }, { + "metadata": { + "ExecuteTime": { + "end_time": "2026-06-18T12:50:33.118901330Z", + "start_time": "2026-06-18T12:50:33.068836254Z" + } + }, "cell_type": "code", - "metadata": {}, "source": [ "print(\"--- time series controller:\", net.controller)\n", "\n", @@ -186,23 +205,80 @@ " net.controller.object[0].__dict__[\"matching_params\"][\"element_index\"])\n", "print(\"--- time series data:\", net.controller.object[0].data_source.df)\n" ], - "outputs": [], - "execution_count": null + "id": "e6f482bdade01cfb", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--- time series controller: object in_service order level initial_run \\\n", + "0 ConstControl [load.p_mw] True -1.0 -1 False \n", + "1 ConstControl [sgen.p_mw] True -1.0 -1 False \n", + "\n", + " recycle name \n", + "0 {'trafo': False, 'gen': False, 'bus_pq': True} None \n", + "1 {'trafo': False, 'gen': False, 'bus_pq': True} None \n", + "--- considered element of controller 0: load\n", + "--- considered element index of controller 0: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]\n", + "--- time series data: 0 1 2 3 4 5 6 \\\n", + "0 3.838794 0.070777 0.110512 0.186256 0.140313 0.150247 0.121687 \n", + "1 3.731032 0.068790 0.107410 0.181027 0.136374 0.146029 0.118271 \n", + "2 3.178328 0.058600 0.091498 0.154211 0.116172 0.124397 0.100751 \n", + "3 3.026164 0.055795 0.087118 0.146828 0.110610 0.118441 0.095927 \n", + "4 3.136205 0.057823 0.090286 0.152167 0.114632 0.122748 0.099416 \n", + ".. ... ... ... ... ... ... ... \n", + "91 6.532286 0.120438 0.188053 0.316943 0.238763 0.255667 0.207069 \n", + "92 6.160585 0.113585 0.177352 0.298908 0.225177 0.241119 0.195287 \n", + "93 5.168657 0.095296 0.148796 0.250780 0.188921 0.202296 0.163843 \n", + "94 4.558566 0.084048 0.131233 0.221179 0.166621 0.178418 0.144504 \n", + "95 4.293205 0.079155 0.123594 0.208304 0.156922 0.168032 0.136092 \n", + "\n", + " 7 8 9 10 11 12 13 \\\n", + "0 0.084436 3.838794 0.053393 1.240427 0.057669 0.019586 0.146893 \n", + "1 0.082066 3.731032 0.051895 1.205606 0.056050 0.019036 0.142769 \n", + "2 0.069909 3.178328 0.044207 1.027011 0.047747 0.016216 0.121620 \n", + "3 0.066562 3.026164 0.042091 0.977842 0.045461 0.015440 0.115797 \n", + "4 0.068982 3.136205 0.043621 1.013400 0.047114 0.016001 0.120008 \n", + ".. ... ... ... ... ... ... ... \n", + "91 0.143681 6.532286 0.090857 2.110773 0.098132 0.033328 0.249960 \n", + "92 0.135505 6.160585 0.085687 1.990665 0.092548 0.031432 0.235737 \n", + "93 0.113687 5.168657 0.071890 1.670144 0.077647 0.026371 0.197780 \n", + "94 0.100268 4.558566 0.063405 1.473006 0.068482 0.023258 0.174435 \n", + "95 0.094431 4.293205 0.059714 1.387260 0.064495 0.021904 0.164281 \n", + "\n", + " 14 15 16 17 \n", + "0 0.017409 1.284206 0.008705 0.084871 \n", + "1 0.016921 1.248156 0.008460 0.082489 \n", + "2 0.014414 1.063258 0.007207 0.070269 \n", + "3 0.013724 1.012354 0.006862 0.066905 \n", + "4 0.014223 1.049167 0.007112 0.069338 \n", + ".. ... ... ... ... \n", + "91 0.029625 2.185271 0.014812 0.144421 \n", + "92 0.027939 2.060924 0.013970 0.136203 \n", + "93 0.023441 1.729090 0.011720 0.114273 \n", + "94 0.020674 1.524994 0.010337 0.100785 \n", + "95 0.019470 1.436222 0.009735 0.094918 \n", + "\n", + "[96 rows x 18 columns]\n" + ] + } + ], + "execution_count": 5 }, { - "cell_type": "markdown", "metadata": {}, - "source": [ - "We start the optimization for timesteps from 0 to 10.\n" - ] + "cell_type": "markdown", + "source": "We start the optimization for timesteps from 0 to 10.\n", + "id": "c152fd91f251bd9" }, { - "cell_type": "code", "metadata": { - "pycharm": { - "name": "#%%\n" + "ExecuteTime": { + "end_time": "2026-06-18T12:51:38.556455929Z", + "start_time": "2026-06-18T12:50:33.123725661Z" } }, + "cell_type": "code", "source": [ "# run the optimization for the first ten timesteps (the first run can be slow).\n", "try:\n", @@ -210,24 +286,64 @@ "except Exception as err:\n", " print(err)" ], - "outputs": [], - "execution_count": null + "id": "d10704a0ac84b20f", + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "no costs are given - overall generated power is minimized\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Detected IPython. Loading juliacall extension. See https://juliapy.github.io/PythonCall.jl/stable/compat/#IPython\n", + "[info | PowerModels]: Suppressing information and warning messages for the rest of this session. Use the Memento package for more fine-grained control of logging.\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "┌ Warning: Cycle detected\n", + "└ @ Juniper ~/.julia/packages/Juniper/93Umc/src/fpump.jl:381\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "******************************************************************************\n", + "This program contains Ipopt, a library for large-scale nonlinear optimization.\n", + " Ipopt is released as open source code under the Eclipse Public License (EPL).\n", + " For more information visit https://github.com/coin-or/Ipopt\n", + "******************************************************************************\n", + "\n" + ] + } + ], + "execution_count": 6 }, { - "cell_type": "markdown", "metadata": {}, + "cell_type": "markdown", "source": [ "## 4) Get and plot the results \n", "Get and plot the optimization results for the storage.\n" - ] + ], + "id": "5b7311acd00ef1cf" }, { - "cell_type": "code", "metadata": { - "pycharm": { - "name": "#%%\n" + "ExecuteTime": { + "end_time": "2026-06-18T12:51:38.829577579Z", + "start_time": "2026-06-18T12:51:38.589122789Z" } }, + "cell_type": "code", "source": [ "import matplotlib.pyplot as plt\n", "\n", @@ -260,37 +376,26 @@ "# plot the results\n", "plot_storage_results(storage_results)" ], - "outputs": [], - "execution_count": null + "id": "2c86d33bfa287bb0", + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data", + "jetTransient": { + "display_id": null + } + } + ], + "execution_count": 7 } ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3" - }, - "pycharm": { - "stem_cell": { - "cell_type": "raw", - "metadata": { - "collapsed": false - }, - "source": [] - } - } - }, + "metadata": {}, "nbformat": 4, - "nbformat_minor": 1 + "nbformat_minor": 5 } diff --git a/tutorials/shortcircuit/sc_1ph_vector_group_trafo3w.ipynb b/tutorials/shortcircuit/sc_1ph_vector_group_trafo3w.ipynb index d25714bb38..efe78fedfe 100644 --- a/tutorials/shortcircuit/sc_1ph_vector_group_trafo3w.ipynb +++ b/tutorials/shortcircuit/sc_1ph_vector_group_trafo3w.ipynb @@ -23,7 +23,7 @@ "\n", "pd.options.display.float_format = '{:,.5f}'.format" ], - "id": "35344d7f4b5ef06a" + "id": "862a550ee8515d" }, { "metadata": {}, @@ -47,7 +47,7 @@ " vk0_lv_percent=6.2996, vkr0_lv_percent=0.03714, vector_group=vector_group)\n", " return net" ], - "id": "550a7cabc9f4a1a4" + "id": "205f3d9bacd47cb5" }, { "metadata": {}, @@ -61,7 +61,7 @@ "net = single_3w_trafo_grid(vg)\n", "simple_plot(net, ext_grid_size=5)" ], - "id": "5e2615a6364caf04" + "id": "7d4435bc8c7e3d97" }, { "metadata": {}, @@ -73,7 +73,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "753326ecbda9dc36" + "id": "385b7d3f4c8adad8" }, { "metadata": {}, @@ -85,7 +85,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "f59b3dd7c080c871" + "id": "2aea2e8c7bf7804a" }, { "metadata": {}, @@ -97,7 +97,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "a4af1a494c222969" + "id": "4ea061bd510318de" }, { "metadata": {}, @@ -109,7 +109,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "278201160f658fa1" + "id": "a58cac784114c30b" }, { "metadata": {}, @@ -121,7 +121,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "d383e0a9fdbcc326" + "id": "e7184e52a9a0842e" }, { "metadata": {}, @@ -133,7 +133,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "28774247cc5957d5" + "id": "94cf7317ade4606f" }, { "metadata": {}, @@ -145,7 +145,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "36e5701a5f45ceae" + "id": "6372bed0a283ba13" }, { "metadata": {}, @@ -157,7 +157,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "c2f63f4f1eb2ae38" + "id": "2a483a0be4fac1ae" }, { "metadata": {}, @@ -170,7 +170,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "e391ca97d3a14c21" + "id": "e5ed69a09fc7927" }, { "metadata": {}, @@ -183,7 +183,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "5f20e3d452c82cc4" + "id": "63c3cda423a387e7" }, { "metadata": {}, @@ -195,7 +195,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc # warum dasselbe Ergebnis wie Yyy?" ], - "id": "a26a11fdb2286df4" + "id": "88546dd2c69dc121" }, { "metadata": {}, @@ -207,7 +207,7 @@ "\n", "## Ynynd" ], - "id": "fedef150d1b02381" + "id": "e6bd8c95cdf56ff0" }, { "metadata": {}, @@ -219,7 +219,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "9b0abc452995e908" + "id": "f727dafe2594aa40" }, { "metadata": {}, @@ -231,7 +231,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\", bus=0)\n", "net.res_bus_sc" ], - "id": "f473144d89e32965" + "id": "27664dd0615e35f7" }, { "metadata": {}, @@ -244,7 +244,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\", bus=0, inverse_y=False)\n", "net.res_bus_sc" ], - "id": "b25ee761df1c328e" + "id": "71aec3ef23431765" }, { "metadata": {}, @@ -257,7 +257,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\", bus=1, inverse_y=False)\n", "net.res_bus_sc" ], - "id": "1eabec938df7fc06" + "id": "89756e6a630f9a0d" }, { "metadata": {}, @@ -270,13 +270,13 @@ "calc_sc(net, fault=\"1ph\", case=\"max\", bus=2, inverse_y=False)\n", "net.res_bus_sc" ], - "id": "60f259dde53f4bd5" + "id": "a8e5b29396ca0de5" }, { "metadata": {}, "cell_type": "markdown", "source": "## Ydd", - "id": "e14c736383fd6f13" + "id": "7de073e0f971807f" }, { "metadata": {}, @@ -288,7 +288,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "77885315408e0329" + "id": "7f18a8e0288662d" }, { "metadata": {}, @@ -300,7 +300,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\", bus=0, inverse_y=False)\n", "net.res_bus_sc" ], - "id": "e1a1a2091a9619f2" + "id": "9bdfaa1611bd7ba2" }, { "metadata": {}, @@ -312,7 +312,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\", bus=1, inverse_y=False)\n", "net.res_bus_sc" ], - "id": "863c0a97861689ab" + "id": "92d18d50f26ba8fb" }, { "metadata": {}, @@ -324,13 +324,13 @@ "calc_sc(net, fault=\"1ph\", case=\"max\", bus=2, inverse_y=False)\n", "net.res_bus_sc" ], - "id": "584caba5ace3fdf" + "id": "e10e13829badb465" }, { "metadata": {}, "cell_type": "markdown", "source": "## YNyd", - "id": "7a560c7a8c985506" + "id": "471f3d9ec58c08e" }, { "metadata": {}, @@ -342,7 +342,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "f2f84d4e0f28d885" + "id": "69582e9490eca496" }, { "metadata": {}, @@ -354,7 +354,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\", bus=0, inverse_y=False)\n", "net.res_bus_sc" ], - "id": "3e80e7fe124c3255" + "id": "f1d175a5782bfe1" }, { "metadata": {}, @@ -366,7 +366,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\", bus=1, inverse_y=False)\n", "net.res_bus_sc" ], - "id": "162685bd3a89c0aa" + "id": "2a2169d08000ebc7" }, { "metadata": {}, @@ -378,13 +378,13 @@ "calc_sc(net, fault=\"1ph\", case=\"max\", bus=2, inverse_y=False)\n", "net.res_bus_sc" ], - "id": "caa980e0b63c2da2" + "id": "d2fc40d5d68f360e" }, { "metadata": {}, "cell_type": "markdown", "source": "## YNdd", - "id": "9c2202b5fdfd5fd3" + "id": "d77cc64cf698b6bb" }, { "metadata": {}, @@ -396,7 +396,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\")\n", "net.res_bus_sc" ], - "id": "87b1d7748b41258e" + "id": "14efc98ded4fed82" }, { "metadata": {}, @@ -408,7 +408,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\", bus=0, inverse_y=False)\n", "net.res_bus_sc" ], - "id": "a78c686b88cfd6b4" + "id": "195ffe50272cee00" }, { "metadata": {}, @@ -420,7 +420,7 @@ "calc_sc(net, fault=\"1ph\", case=\"max\", bus=1, inverse_y=False)\n", "net.res_bus_sc" ], - "id": "cad0db2a17be81fe" + "id": "a4055aa03bc15b49" }, { "metadata": {}, @@ -432,13 +432,13 @@ "calc_sc(net, fault=\"1ph\", case=\"max\", bus=2, inverse_y=False)\n", "net.res_bus_sc" ], - "id": "6080d28f298dc2df" + "id": "ff874fe80cb86ca" }, { "metadata": {}, "cell_type": "markdown", "source": "For further vector groups, we included the check in the test, all the vector groups passed.", - "id": "1a5d6ab757f7b74b" + "id": "afc7b2f535a0cc77" } ], "metadata": {}, diff --git a/tutorials/shortcircuit/sc_power_station_unit.ipynb b/tutorials/shortcircuit/sc_power_station_unit.ipynb index 373244bf1f..d77c1007bc 100644 --- a/tutorials/shortcircuit/sc_power_station_unit.ipynb +++ b/tutorials/shortcircuit/sc_power_station_unit.ipynb @@ -1,36 +1,28 @@ { "cells": [ { + "metadata": {}, "cell_type": "code", - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-11T06:18:13.838588104Z", - "start_time": "2026-05-11T06:18:12.498443648Z" - } - }, + "outputs": [], + "execution_count": null, "source": [ "import numpy as np\n", "from pandapower.plotting import simple_plot\n", - "from pandapower.test.shortcircuit.test_1ph import vde_232" + "from pandapower.networks.simple_pandapower_test_networks import vde_232" ], - "outputs": [], - "execution_count": 1 + "id": "a9a0f8ce813db817" }, { - "cell_type": "markdown", "metadata": {}, - "source": [ - "Create example net from IEC 60909:4-2021 Figure 5" - ] + "cell_type": "markdown", + "source": "Create example net from IEC 60909:4-2021 Figure 5", + "id": "6fe18c7f00f52685" }, { + "metadata": {}, "cell_type": "code", - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-11T06:18:13.957164116Z", - "start_time": "2026-05-11T06:18:13.839619132Z" - } - }, + "outputs": [], + "execution_count": null, "source": [ "net = vde_232()\n", "vn_trafo_hv = net.trafo.vn_hv_kv\n", @@ -39,181 +31,140 @@ "vk0_percent = net.trafo.vk0_percent\n", "vkr0_percent = net.trafo.vkr0_percent" ], - "outputs": [], - "execution_count": 2 + "id": "c16d9193ac2e2588" }, { + "metadata": {}, "cell_type": "code", - "metadata": { - "ExecuteTime": { - "end_time": "2026-05-11T06:36:13.146971564Z", - "start_time": "2026-05-11T06:36:12.882162343Z" - } - }, + "outputs": [], + "execution_count": null, "source": "simple_plot(net, plot_gens=True, gen_size=0.05, trafo_size=10, ext_grid_size=5, draw_by_type=False);", - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "No or insufficient geodata available --> Creating artificial coordinates. This may take some time\n" - ] - }, - { - "ename": "TypeError", - "evalue": "loop of ufunc does not support argument 0 of type NoneType which has no callable cos method", - "output_type": "error", - "traceback": [ - "\u001B[31m---------------------------------------------------------------------------\u001B[39m", - "\u001B[31mAttributeError\u001B[39m Traceback (most recent call last)", - "\u001B[31mAttributeError\u001B[39m: 'NoneType' object has no attribute 'cos'", - "\nThe above exception was the direct cause of the following exception:\n", - "\u001B[31mTypeError\u001B[39m Traceback (most recent call last)", - "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[10]\u001B[39m\u001B[32m, line 1\u001B[39m\n\u001B[32m----> \u001B[39m\u001B[32m1\u001B[39m \u001B[43msimple_plot\u001B[49m\u001B[43m(\u001B[49m\u001B[43mnet\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mplot_gens\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mTrue\u001B[39;49;00m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mgen_size\u001B[49m\u001B[43m=\u001B[49m\u001B[32;43m0.05\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mtrafo_size\u001B[49m\u001B[43m=\u001B[49m\u001B[32;43m10\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mext_grid_size\u001B[49m\u001B[43m=\u001B[49m\u001B[32;43m5\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdraw_by_type\u001B[49m\u001B[43m=\u001B[49m\u001B[38;5;28;43;01mFalse\u001B[39;49;00m\u001B[43m)\u001B[49m;\n", - "\u001B[36mFile \u001B[39m\u001B[32m~/pandapower/pandapower/plotting/simple_plot.py:959\u001B[39m, in \u001B[36msimple_plot\u001B[39m\u001B[34m(net, respect_switches, line_width, bus_size, ext_grid_size, trafo_size, plot_loads, plot_gens, plot_sgens, orientation, load_size, gen_size, sgen_size, switch_size, switch_distance, plot_line_switches, plot_bus_switches, scale_size, bus_color, line_color, dcline_color, trafo_color, ext_grid_color, switch_color, library, show_plot, ax, draw_by_type, bus_dc_size, bus_dc_color, line_dc_color, vsc_size, vsc_color, highlight_buses, highlight_lines, enable_hover, highlight_bus_size_factor, highlight_line_width_factor, highlight_color, colormap_type, line_limits, bus_limits, cmap_lines, cmap_buses, plot_colorbars)\u001B[39m\n\u001B[32m 956\u001B[39m collections.append(sgc)\n\u001B[32m 958\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m plot_gens \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(net.gen):\n\u001B[32m--> \u001B[39m\u001B[32m959\u001B[39m gc = \u001B[43mcreate_gen_collection\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 960\u001B[39m \u001B[43m \u001B[49m\u001B[43mnet\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43msize\u001B[49m\u001B[43m=\u001B[49m\u001B[43mgen_size\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43morientation\u001B[49m\u001B[43m=\u001B[49m\u001B[43morientation\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 961\u001B[39m \u001B[43m \u001B[49m\u001B[43munique_angles\u001B[49m\u001B[43m=\u001B[49m\u001B[43mangles\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdraw_by_type\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdraw_by_type\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 962\u001B[39m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 963\u001B[39m collections.append(gc)\n\u001B[32m 965\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m plot_loads \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(net.load):\n\u001B[32m 966\u001B[39m \u001B[38;5;66;03m# separate variable name to prevent rebinding normal_lc / cmap_lc\u001B[39;00m\n", - "\u001B[36mFile \u001B[39m\u001B[32m~/pandapower/pandapower/plotting/collections.py:1218\u001B[39m, in \u001B[36mcreate_gen_collection\u001B[39m\u001B[34m(net, gens, size, infofunc, orientation, picker, patch_type, unique_angles, draw_by_type, **kwargs)\u001B[39m\n\u001B[32m 1186\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34mcreate_gen_collection\u001B[39m(\n\u001B[32m 1187\u001B[39m net: pandapowerNet,\n\u001B[32m 1188\u001B[39m gens=\u001B[38;5;28;01mNone\u001B[39;00m,\n\u001B[32m (...)\u001B[39m\u001B[32m 1195\u001B[39m draw_by_type: \u001B[38;5;28mbool\u001B[39m = \u001B[38;5;28;01mFalse\u001B[39;00m,\n\u001B[32m 1196\u001B[39m **kwargs):\n\u001B[32m 1197\u001B[39m \u001B[38;5;250m \u001B[39m\u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m 1198\u001B[39m \u001B[33;03m Creates a matplotlib patch collection of pandapower gens.\u001B[39;00m\n\u001B[32m 1199\u001B[39m \n\u001B[32m (...)\u001B[39m\u001B[32m 1216\u001B[39m \u001B[33;03m patch collection, line collection\u001B[39;00m\n\u001B[32m 1217\u001B[39m \u001B[33;03m \"\"\"\u001B[39;00m\n\u001B[32m-> \u001B[39m\u001B[32m1218\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43m_create_gen_or_sgen_collection\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 1219\u001B[39m \u001B[43m \u001B[49m\u001B[43mnet\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mgens\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43msize\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43minfofunc\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43morientation\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mpicker\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mpatch_type\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43munique_angles\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mdraw_by_type\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43mgen\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\n\u001B[32m 1220\u001B[39m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n", - "\u001B[36mFile \u001B[39m\u001B[32m~/pandapower/pandapower/plotting/collections.py:1172\u001B[39m, in \u001B[36m_create_gen_or_sgen_collection\u001B[39m\u001B[34m(net, indices, size, infofunc, orientation, picker, patch_type, unique_angles, draw_by_type, attribute, **kwargs)\u001B[39m\n\u001B[32m 1169\u001B[39m angles = orientation\n\u001B[32m 1171\u001B[39m color = kwargs.pop(\u001B[33m\"\u001B[39m\u001B[33mcolor\u001B[39m\u001B[33m\"\u001B[39m, \u001B[33m\"\u001B[39m\u001B[33mk\u001B[39m\u001B[33m\"\u001B[39m)\n\u001B[32m-> \u001B[39m\u001B[32m1172\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43m_create_node_element_collection\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 1173\u001B[39m \u001B[43m \u001B[49m\u001B[43mnode_coords\u001B[49m\u001B[43m=\u001B[49m\u001B[43mnode_coords\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 1174\u001B[39m \u001B[43m \u001B[49m\u001B[43mpatch_maker\u001B[49m\u001B[43m=\u001B[49m\u001B[43msgen_patches\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43;01mif\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mattribute\u001B[49m\u001B[43m \u001B[49m\u001B[43m==\u001B[49m\u001B[43m \u001B[49m\u001B[33;43m\"\u001B[39;49m\u001B[33;43msgen\u001B[39;49m\u001B[33;43m\"\u001B[39;49m\u001B[43m \u001B[49m\u001B[38;5;28;43;01melse\u001B[39;49;00m\u001B[43m \u001B[49m\u001B[43mgen_patches\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 1175\u001B[39m \u001B[43m \u001B[49m\u001B[43msize\u001B[49m\u001B[43m=\u001B[49m\u001B[43msize\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 1176\u001B[39m \u001B[43m \u001B[49m\u001B[43minfos\u001B[49m\u001B[43m=\u001B[49m\u001B[43minfos\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 1177\u001B[39m \u001B[43m \u001B[49m\u001B[43morientation\u001B[49m\u001B[43m=\u001B[49m\u001B[43mangles\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 1178\u001B[39m \u001B[43m \u001B[49m\u001B[43mpicker\u001B[49m\u001B[43m=\u001B[49m\u001B[43mpicker\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 1179\u001B[39m \u001B[43m \u001B[49m\u001B[43mline_color\u001B[49m\u001B[43m=\u001B[49m\u001B[43mcolor\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 1180\u001B[39m \u001B[43m \u001B[49m\u001B[43mpatch_type\u001B[49m\u001B[43m=\u001B[49m\u001B[43mpatch_type\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 1181\u001B[39m \u001B[43m \u001B[49m\u001B[43mdraw_by_type\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdraw_by_type\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 1182\u001B[39m \u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\n\u001B[32m 1183\u001B[39m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n", - "\u001B[36mFile \u001B[39m\u001B[32m~/pandapower/pandapower/plotting/collections.py:318\u001B[39m, in \u001B[36m_create_node_element_collection\u001B[39m\u001B[34m(node_coords, patch_maker, size, infos, repeat_infos, orientation, picker, patch_facecolor, patch_edgecolor, line_color, patch_type, unique_angles, draw_by_type, **kwargs)\u001B[39m\n\u001B[32m 315\u001B[39m linewidths = kwargs.pop(\u001B[33m\"\u001B[39m\u001B[33mlinewidth\u001B[39m\u001B[33m\"\u001B[39m, linewidths)\n\u001B[32m 316\u001B[39m linewidths = kwargs.pop(\u001B[33m\"\u001B[39m\u001B[33mlw\u001B[39m\u001B[33m\"\u001B[39m, linewidths)\n\u001B[32m--> \u001B[39m\u001B[32m318\u001B[39m lines, polys, popped_keywords = \u001B[43mpatch_maker\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m 319\u001B[39m \u001B[43m \u001B[49m\u001B[43mnode_coords\u001B[49m\u001B[43m=\u001B[49m\u001B[43mnode_coords\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 320\u001B[39m \u001B[43m \u001B[49m\u001B[43msize\u001B[49m\u001B[43m=\u001B[49m\u001B[43msize\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 321\u001B[39m \u001B[43m \u001B[49m\u001B[43mangles\u001B[49m\u001B[43m=\u001B[49m\u001B[43mangles\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 322\u001B[39m \u001B[43m \u001B[49m\u001B[43mpatch_type\u001B[49m\u001B[43m=\u001B[49m\u001B[43mpatch_type\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 323\u001B[39m \u001B[43m \u001B[49m\u001B[43munique_angles\u001B[49m\u001B[43m=\u001B[49m\u001B[43munique_angles\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 324\u001B[39m \u001B[43m \u001B[49m\u001B[43mdraw_by_type\u001B[49m\u001B[43m=\u001B[49m\u001B[43mdraw_by_type\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 325\u001B[39m \u001B[43m \u001B[49m\u001B[43mpatch_facecolor\u001B[49m\u001B[43m=\u001B[49m\u001B[43mpatch_facecolor\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 326\u001B[39m \u001B[43m \u001B[49m\u001B[43mpatch_edgecolor\u001B[49m\u001B[43m=\u001B[49m\u001B[43mpatch_edgecolor\u001B[49m\u001B[43m,\u001B[49m\n\u001B[32m 327\u001B[39m \u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m*\u001B[49m\u001B[43mkwargs\u001B[49m\n\u001B[32m 328\u001B[39m \u001B[43m\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 329\u001B[39m \u001B[38;5;28;01mfor\u001B[39;00m kw \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28mset\u001B[39m(popped_keywords) & \u001B[38;5;28mset\u001B[39m(kwargs.keys()):\n\u001B[32m 330\u001B[39m kwargs.pop(kw)\n", - "\u001B[36mFile \u001B[39m\u001B[32m~/pandapower/pandapower/plotting/patch_makers.py:401\u001B[39m, in \u001B[36mgen_patches\u001B[39m\u001B[34m(node_coords, size, angles, patch_type, draw_by_type, **kwargs)\u001B[39m\n\u001B[32m 399\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m draw_by_type:\n\u001B[32m 400\u001B[39m \u001B[38;5;28;01mpass\u001B[39;00m \u001B[38;5;66;03m# TODO: add support for other patch types\u001B[39;00m\n\u001B[32m--> \u001B[39m\u001B[32m401\u001B[39m p2 = node_geo + \u001B[43m_rotate_dim2\u001B[49m\u001B[43m(\u001B[49m\u001B[43mnp\u001B[49m\u001B[43m.\u001B[49m\u001B[43marray\u001B[49m\u001B[43m(\u001B[49m\u001B[43m[\u001B[49m\u001B[32;43m0\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43msize\u001B[49m\u001B[43m \u001B[49m\u001B[43m+\u001B[49m\u001B[43m \u001B[49m\u001B[43moffset\u001B[49m\u001B[43m]\u001B[49m\u001B[43m)\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43m_angle\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m 402\u001B[39m circ_edge = node_geo + _rotate_dim2(np.array([\u001B[32m0\u001B[39m, offset]), _angle)\n\u001B[32m 403\u001B[39m polys.append(Circle(p2, size, fc=facecolors[i], ec=edgecolors[i]))\n", - "\u001B[36mFile \u001B[39m\u001B[32m~/pandapower/pandapower/plotting/plotting_toolbox.py:24\u001B[39m, in \u001B[36m_rotate_dim2\u001B[39m\u001B[34m(arr, ang)\u001B[39m\n\u001B[32m 15\u001B[39m \u001B[38;5;28;01mdef\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34m_rotate_dim2\u001B[39m(arr, ang):\n\u001B[32m 16\u001B[39m \u001B[38;5;250m \u001B[39m\u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m 17\u001B[39m \u001B[33;03m Rotate the input vector with the given angle.\u001B[39;00m\n\u001B[32m 18\u001B[39m \n\u001B[32m (...)\u001B[39m\u001B[32m 22\u001B[39m \u001B[33;03m :type ang: float\u001B[39;00m\n\u001B[32m 23\u001B[39m \u001B[33;03m \"\"\"\u001B[39;00m\n\u001B[32m---> \u001B[39m\u001B[32m24\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m np.dot(np.array([[\u001B[43mnp\u001B[49m\u001B[43m.\u001B[49m\u001B[43mcos\u001B[49m\u001B[43m(\u001B[49m\u001B[43mang\u001B[49m\u001B[43m)\u001B[49m, np.sin(ang)], [-np.sin(ang), np.cos(ang)]]), arr)\n", - "\u001B[31mTypeError\u001B[39m: loop of ufunc does not support argument 0 of type NoneType which has no callable cos method" - ] - } - ], - "execution_count": 10 + "id": "d0ebfcb58b0395ac" }, { - "cell_type": "markdown", "metadata": {}, + "cell_type": "markdown", "source": [ "Calculate the zero-sequence impedance of the power station unit transformer related to the HV side (without correction factor $K_T$)\n", "\n", "$\\underline{Z}_{(0)THV} = (\\frac{u_{Rr}}{100 \\%} + j \\frac{u_{Xr}}{100 \\%}) \\frac{U_{rTHV}^2}{S_{rT}}$:" - ] + ], + "id": "1fb653d500b493ca" }, { - "cell_type": "code", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ "vkx0_percent = np.sqrt(np.square(vk0_percent) - np.square(vkr0_percent))\n", "z_0THV = (vkr0_percent / 100 + 1j * vkx0_percent / 100) * (np.square(vn_trafo_hv) / sn_mva)\n", "z_0THV.at[0]" ], - "outputs": [], - "execution_count": null + "id": "63d32bec86bb0ef5" }, { - "cell_type": "markdown", "metadata": {}, + "cell_type": "markdown", "source": [ "Calculate the correction factor for the power system unit with OLTC \n", "\n", "$K_S = \\frac{U_{nQ}^2}{U_{rG}^2} \\cdot \\frac{U_{rTLV}^2}{U_{rTHV}^2} \\cdot \\frac{c_{max}}{1+|x_d^{''} - x_T| \\sqrt{1-cos^2_{\\phi rG}}}$:" - ] + ], + "id": "dba3ab5daa408669" }, { - "cell_type": "code", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ "v_g = net.gen.vn_kv\n", "v_q = net.bus.loc[net.trafo[\"hv_bus\"].values, \"vn_kv\"].values\n", "ps_cmax = 1.1\n", "x_t = net.trafo[\"vk_percent\"].values / 100\n", "xdss_pu = net.gen.xdss_pu\n", - "sin_phi_gen = np.sqrt(np.clip(1 - net.gen.cos_phi.values**2, 0, None))\n", + "sin_phi_gen = np.sqrt(np.clip(1 - net.gen.cos_phi.values ** 2, 0, None))\n", "\n", - "ks = (v_q**2/v_g**2) * (vn_trafo_lv**2/vn_trafo_hv**2) * ps_cmax / (1 + np.abs(xdss_pu - x_t) * sin_phi_gen)" + "ks = (v_q ** 2 / v_g ** 2) * (vn_trafo_lv ** 2 / vn_trafo_hv ** 2) * ps_cmax / (1 + np.abs(xdss_pu - x_t) * sin_phi_gen)" ], - "outputs": [], - "execution_count": null + "id": "499184c03c4902ac" }, { - "cell_type": "code", "metadata": {}, - "source": [ - "ks.at[0]" - ], + "cell_type": "code", "outputs": [], - "execution_count": null + "execution_count": null, + "source": "ks.at[0]", + "id": "f34d0640b6e83bca" }, { - "cell_type": "markdown", "metadata": {}, + "cell_type": "markdown", "source": [ "Calculate the corrected zero-sequence impedance for the power system unit with OLTC \n", "\n", "$\\underline{Z}_{(0)SK} = K_S \\cdot \\underline{Z}_{(0)THV} + 3 \\cdot \\underline{Z}_N$:" - ] + ], + "id": "f3097eecb150f03a" }, { - "cell_type": "code", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ "zn = 1j * net.trafo.xn_ohm\n", - "z_0SK = ks * z_0THV + 3*zn\n", + "z_0SK = ks * z_0THV + 3 * zn\n", "z_0SK.at[0]" ], - "outputs": [], - "execution_count": null + "id": "29cccdbc95f1d5a5" }, { - "cell_type": "markdown", "metadata": {}, + "cell_type": "markdown", "source": [ "Calculate the correction factor for the power system unit without OLTC \n", "\n", "$K_{SO} = \\frac{U_{nQ}}{U_{rG} \\cdot (1+p_G)} \\cdot \\frac{U_{rTLV}}{U_{rTHV}} \\cdot (1 \\pm p_T) \\cdot \\frac{c_{max}}{1+x_d^{''} \\sqrt{1-cos^2_{\\phi rG}}}$:" - ] + ], + "id": "fd4cbe4c92145df1" }, { - "cell_type": "code", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ "p_g = net.gen.pg_percent / 100\n", "p_t = net.trafo['pt_percent'] / 100\n", "kso = (v_q / (v_g * (1 + p_g))) * (vn_trafo_lv / vn_trafo_hv) * (1 - p_t) * ps_cmax / (1 + xdss_pu * sin_phi_gen)" ], - "outputs": [], - "execution_count": null + "id": "cf3e45d2f5cf7890" }, { - "cell_type": "markdown", "metadata": {}, + "cell_type": "markdown", "source": [ "Calculate the corrected zero-sequence impedance for the power system unit without OLTC \n", "\n", "$\\underline{Z}_{(0)SOK} = K_{SO} \\cdot \\underline{Z}_{(0)THV} + 3 \\cdot \\underline{Z}_N$:" - ] + ], + "id": "5669d9971a01d75c" }, { - "cell_type": "code", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ - "z_0SOK = kso * z_0THV + 3*zn\n", + "z_0SOK = kso * z_0THV + 3 * zn\n", "z_0SOK.at[0]" ], - "outputs": [], - "execution_count": null + "id": "94d4493b4f438e56" } ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3" - } - }, + "metadata": {}, "nbformat": 4, - "nbformat_minor": 4 + "nbformat_minor": 5 } diff --git a/tutorials/shortcircuit/sc_wind_power_station_units.ipynb b/tutorials/shortcircuit/sc_wind_power_station_units.ipynb index 39812e471f..f61526f383 100644 --- a/tutorials/shortcircuit/sc_wind_power_station_units.ipynb +++ b/tutorials/shortcircuit/sc_wind_power_station_units.ipynb @@ -45,7 +45,8 @@ "source": [ "import numpy as np\n", "import pandapower.shortcircuit as sc\n", - "from pandapower.test.shortcircuit.test_sgen import simplest_test_grid as create_net" + "\n", + "from pandapower.networks.simple_pandapower_test_networks import simplest_test_grid as create_net" ] }, { @@ -124,9 +125,9 @@ "outputs": [], "source": [ "U_rG = 0.4 # kV\n", - "S_rG = 2.5 # MVA\n", + "S_rG = 2.5 # MVA\n", "I_rG = S_rG / (np.sqrt(3) * U_rG)\n", - "I_LR = 5 * I_rG # our assumption\n", + "I_LR = 5 * I_rG # our assumption\n", "I_LR_rG = I_LR / I_rG\n", "RX_G = 0.1" ] @@ -142,7 +143,7 @@ }, "outputs": [], "source": [ - "Z_G = 1/I_LR_rG * U_rG**2 / S_rG\n", + "Z_G = 1 / I_LR_rG * U_rG ** 2 / S_rG\n", "Z_G" ] }, @@ -157,7 +158,7 @@ }, "outputs": [], "source": [ - "Z_G_complex = (RX_G + 1j) * Z_G / (np.sqrt(1 + RX_G**2))\n", + "Z_G_complex = (RX_G + 1j) * Z_G / (np.sqrt(1 + RX_G ** 2))\n", "Z_G_complex" ] }, @@ -172,10 +173,10 @@ }, "outputs": [], "source": [ - "t_r = 20/0.4\n", + "t_r = 20 / 0.4\n", "# transformer impedance is taken from the pandapower grid\n", "# transformer from the example (see below)\n", - "Z_THV_complex = 2.3263781460713675+9.409936797295378j\n", + "Z_THV_complex = 2.3263781460713675 + 9.409936797295378j\n", "Z_WA_complex = t_r ** 2 * Z_G_complex + Z_THV_complex\n", "Z_WA_complex" ] @@ -251,7 +252,7 @@ }, "outputs": [], "source": [ - "kappa = 1.02 + 0.98 * np.exp(-3*0.1)\n", + "kappa = 1.02 + 0.98 * np.exp(-3 * 0.1)\n", "ikss_ka * kappa * np.sqrt(2)" ] }, @@ -388,9 +389,9 @@ }, "outputs": [], "source": [ - "S_rWd = 2.5 # MVA\n", - "U_rWD = U_rTWDHV = 20 # kV\n", - "i_WDmax = 0.388 # kA\n", + "S_rWd = 2.5 # MVA\n", + "U_rWD = U_rTWDHV = 20 # kV\n", + "i_WDmax = 0.388 # kA\n", "# I_rWD is provided by the manufacturer\n", "# i_kWDmax = 1.2 * I_rWD\n", "k_WD = 1.7\n", @@ -409,7 +410,7 @@ "outputs": [], "source": [ "Z_WD = np.sqrt(2) * k_WD * U_rTWDHV / (np.sqrt(3) * i_WDmax)\n", - "Z_WD # Ohm" + "Z_WD # Ohm" ] }, { @@ -423,8 +424,8 @@ }, "outputs": [], "source": [ - "Z_WD_complex = (RX_WD + 1j) * Z_WD / np.sqrt(1 + RX_WD**2)\n", - "Z_WD_complex # Ohm" + "Z_WD_complex = (RX_WD + 1j) * Z_WD / np.sqrt(1 + RX_WD ** 2)\n", + "Z_WD_complex # Ohm" ] }, { @@ -563,8 +564,8 @@ }, "outputs": [], "source": [ - "S_rWF = 2.5 # MVA\n", - "U_rWF = 20 # kV" + "S_rWF = 2.5 # MVA\n", + "U_rWF = 20 # kV" ] }, { @@ -579,7 +580,7 @@ "outputs": [], "source": [ "I_rWF = S_rWF / (np.sqrt(3) * U_rWF)\n", - "I_rWF # kA" + "I_rWF # kA" ] }, { @@ -594,7 +595,7 @@ "outputs": [], "source": [ "I_skWF = I_kWFmax = 1.3 * I_rWF\n", - "I_skWF # kA" + "I_skWF # kA" ] }, { @@ -608,8 +609,8 @@ }, "outputs": [], "source": [ - "kappa = 1.02 + 0.98 * np.exp(-3*0.1)\n", - "I_skWF * np.sqrt(2) # because single power station unit with full size converter" + "kappa = 1.02 + 0.98 * np.exp(-3 * 0.1)\n", + "I_skWF * np.sqrt(2) # because single power station unit with full size converter" ] }, { diff --git a/tutorials/temperature_dependent_power_flow.ipynb b/tutorials/temperature_dependent_power_flow.ipynb index 9b20c5a043..064855f10d 100644 --- a/tutorials/temperature_dependent_power_flow.ipynb +++ b/tutorials/temperature_dependent_power_flow.ipynb @@ -1,8 +1,8 @@ { "cells": [ { - "cell_type": "markdown", "metadata": {}, + "cell_type": "markdown", "source": [ "# Temperature-Dependent Power Flow\n", "We implement Temperature-Dependent Power Flow (TDPF) in pandapower based on the following publications:\n", @@ -20,64 +20,66 @@ "In this tutorial, we demonstrate the use of this feature with a small example.\n", "\n", "After importing the necessary libraries, we create a 5-bus power system (inspired by Ngoko et al.) that we use to demonstrate the calculation:" - ] + ], + "id": "2941d33410dccb91" }, { - "cell_type": "code", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ "import numpy as np\n", "import pandas as pd\n", - "from pandapower.test.loadflow.test_tdpf import simple_test_grid\n", + "\n", "from pandapower.pf.create_jacobian_tdpf import calc_T_ngoko, calc_a0_a1_a2_tau, calc_T_frank, calc_g_b, \\\n", " calc_i_square_p_loss, calc_r_theta, calc_r_theta_from_t_rise\n", "from pandapower.pypower.idx_brch import BR_R, BR_X\n", "from pandapower.plotting.simple_plot import simple_plot\n", - "from pandapower.run import runpp" + "from pandapower.run import runpp\n", + "\n", + "from pandapower.networks.simple_pandapower_test_networks import simple_test_grid" ], - "outputs": [], - "execution_count": null + "id": "973faa4017af8f19" }, { - "cell_type": "code", "metadata": {}, - "source": [ - "net = simple_test_grid(load_scaling=0.25, sgen_scaling=0.5, with_gen=True, distributed_slack=False)" - ], + "cell_type": "code", "outputs": [], - "execution_count": null + "execution_count": null, + "source": "net = simple_test_grid(load_scaling=0.25, sgen_scaling=0.5, with_gen=True, distributed_slack=False)", + "id": "1e1889bcfc142fe4" }, { - "cell_type": "code", "metadata": {}, - "source": [ - "simple_plot(net, plot_loads=True, plot_sgens=True, plot_gens=True, load_size=3, sgen_size=3, gen_size=3)" - ], + "cell_type": "code", "outputs": [], - "execution_count": null + "execution_count": null, + "source": "simple_plot(net, plot_loads=True, plot_sgens=True, plot_gens=True, load_size=3, sgen_size=3, gen_size=3)", + "id": "c4f773a83d996551" }, { - "cell_type": "code", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ "runpp(net)\n", "net.res_line" ], - "outputs": [], - "execution_count": null + "id": "ef5ae972ada1d8c9" }, { - "cell_type": "code", "metadata": {}, - "source": [ - "net.res_bus" - ], + "cell_type": "code", "outputs": [], - "execution_count": null + "execution_count": null, + "source": "net.res_bus", + "id": "5d5a57a637f767dd" }, { - "cell_type": "markdown", "metadata": {}, + "cell_type": "markdown", "source": [ "## Calculation of the overhead line temperature\n", "\n", @@ -108,11 +110,14 @@ "* thermal coefficient of resistivity (4.03e-3)\n", "\n", "The parameters are specified in the net.line element table. If any parameters are missing, they will be substitutet by default assumptions. The parameter \"tdpf\" is always required. If the option to not update $R_\\Theta$ is used, then \"r_theta_kelvin_per_mw\" is required. Otherwise, \"conductor_outer_diameter_m\" is required. Furthermore, if thermal inertia is considered by setting the option \"tdpf_delay_s\", the parameter \"mc_joule_per_m_k\" is required." - ] + ], + "id": "aba913d049a1ba36" }, { - "cell_type": "code", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ "t_air_pu = 35\n", "alpha_pu = 4.03e-3\n", @@ -121,12 +126,11 @@ " 1490, 0.6, 45, 900, alpha_pu, 0.5, 0.5)\n", "calc_T_ngoko(np.square(net.res_line.i_ka.values * 1e3), a0, a1, a2, None, None, None)" ], - "outputs": [], - "execution_count": null + "id": "541f90b078180b04" }, { - "cell_type": "markdown", "metadata": {}, + "cell_type": "markdown", "source": [ "In the approach of Frank et al., the parameters specifying the thermal model according to Ngoko et al. are used to calculate the thermal resistamce $R_{\\Theta}$:\n", "$$\n", @@ -137,11 +141,14 @@ "T = T_{air} + R_\\Theta \\cdot P_{Loss}\n", "$$\n", "Alternatively, the thermal resistance can be approximated using an assumption for the rated temperature rise, as described in Frank et al. To this end, the air temperature $T_{air}$ and the temperature rise are added to calculate the line temperature. The temperature rise is calculated by multiplying the thermal resistance $R_\\Theta$ and the active power losses $P_{Loss}$. The thermal resistance is included in the line results table." - ] + ], + "id": "bf0092f2ff600632" }, { - "cell_type": "code", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ "branch = net._ppc[\"branch\"]\n", "tdpf_lines = np.ones(len(branch)).astype(bool)\n", @@ -154,123 +161,117 @@ "r_theta_pu = calc_r_theta(t_air_pu, a0, a1, a2, np.square(net.res_line.i_ka.values * 1e3), p_loss_pu)\n", "calc_T_frank(p_loss_pu, t_air_pu, r_theta_pu, None, None, None)" ], - "outputs": [], - "execution_count": null + "id": "2d5ebe9e29ced4f3" }, { - "cell_type": "code", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ "# using an approximation for the rated temperature rise:\n", "r_theta_kelvin_per_mw = calc_r_theta_from_t_rise(net, 25)\n", "calc_T_frank(p_loss_pu, t_air_pu, r_theta_kelvin_per_mw.values * net.sn_mva / 1, None, None, None)" ], - "outputs": [], - "execution_count": null + "id": "46fa316b60fddc86" }, { - "cell_type": "markdown", "metadata": {}, - "source": [ - "By providing the option tdpf=True, the overhead line temperature can be obtained from the power flow caluclation:" - ] + "cell_type": "markdown", + "source": "By providing the option tdpf=True, the overhead line temperature can be obtained from the power flow caluclation:", + "id": "3a54004bb409ba10" }, { - "cell_type": "code", "metadata": {}, - "source": [ - "runpp(net, tdpf=True, max_iteration=30)" - ], + "cell_type": "code", "outputs": [], - "execution_count": null + "execution_count": null, + "source": "runpp(net, tdpf=True, max_iteration=30)", + "id": "d4e2fe558db042a" }, { - "cell_type": "markdown", "metadata": {}, - "source": [ - "Taking the results of the power flow calculation for the line current and using them as the input for the introduced functions, we can make sure that the temperature calculation delivers the same results. However, if we repeat the power flow calculation without the TDPF, the results will be different because the effect of the temperature on the resitance and the current is ignored." - ] + "cell_type": "markdown", + "source": "Taking the results of the power flow calculation for the line current and using them as the input for the introduced functions, we can make sure that the temperature calculation delivers the same results. However, if we repeat the power flow calculation without the TDPF, the results will be different because the effect of the temperature on the resitance and the current is ignored.", + "id": "d0eec5ea8b28ebed" }, { - "cell_type": "code", "metadata": {}, - "source": [ - "net.res_line" - ], + "cell_type": "code", "outputs": [], - "execution_count": null + "execution_count": null, + "source": "net.res_line", + "id": "8bad33a52bf26343" }, { - "cell_type": "code", "metadata": {}, - "source": [ - "calc_T_ngoko(np.square(net.res_line.i_ka.values * 1e3), a0, a1, a2, None, None, None)" - ], + "cell_type": "code", "outputs": [], - "execution_count": null + "execution_count": null, + "source": "calc_T_ngoko(np.square(net.res_line.i_ka.values * 1e3), a0, a1, a2, None, None, None)", + "id": "30de699306afc041" }, { - "cell_type": "code", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ "runpp(net)\n", "calc_T_ngoko(np.square(net.res_line.i_ka.values * 1e3), a0, a1, a2, None, None, None)" ], - "outputs": [], - "execution_count": null + "id": "7780e0dce5fe5239" }, { - "cell_type": "markdown", "metadata": {}, - "source": [ - "The calculation works for distributed slack power flow, too. However, the parameter net.sn_mva should be increased in order to avoid numerical instability." - ] + "cell_type": "markdown", + "source": "The calculation works for distributed slack power flow, too. However, the parameter net.sn_mva should be increased in order to avoid numerical instability.", + "id": "60142caf62e2acc7" }, { - "cell_type": "code", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ "net.sn_mva = 1000\n", "runpp(net, tdpf=True, tdpf_delay_s=5 * 60, distributed_slack=True, max_iteration=30)" ], - "outputs": [], - "execution_count": null + "id": "932fa03f32104b8b" }, { - "cell_type": "markdown", "metadata": {}, - "source": [ - "Finally, we demonstrate the calculation with a time delay of 5 minutes:" - ] + "cell_type": "markdown", + "source": "Finally, we demonstrate the calculation with a time delay of 5 minutes:", + "id": "95b615bdb20a430b" }, { - "cell_type": "code", "metadata": {}, - "source": [ - "runpp(net, tdpf=True, tdpf_delay_s=5 * 60, max_iteration=30)" - ], + "cell_type": "code", "outputs": [], - "execution_count": null + "execution_count": null, + "source": "runpp(net, tdpf=True, tdpf_delay_s=5 * 60, max_iteration=30)", + "id": "89f54079e15293ca" }, { - "cell_type": "code", "metadata": {}, - "source": [ - "net.res_line" - ], + "cell_type": "code", "outputs": [], - "execution_count": null + "execution_count": null, + "source": "net.res_line", + "id": "f1800958fc0b311e" }, { - "cell_type": "markdown", "metadata": {}, - "source": [ - "We can see that the temperature rise is substantially lower due to thermal inertia. The thermal inertia effect can be illustrated in the following figure." - ] + "cell_type": "markdown", + "source": "We can see that the temperature rise is substantially lower due to thermal inertia. The thermal inertia effect can be illustrated in the following figure.", + "id": "9c20019270662f25" }, { - "cell_type": "code", "metadata": {}, + "cell_type": "code", + "outputs": [], + "execution_count": null, "source": [ "delays = np.arange(0, 65, 5)\n", "delay_tab = pd.DataFrame(index=delays, columns=net.line.index.values)\n", @@ -282,28 +283,10 @@ "delay_tab.plot(ylabel=\"Temperature (°C)\", xlabel=\"Time delay (min)\",\n", " title=\"Time delay and overhead line temperature\");" ], - "outputs": [], - "execution_count": null + "id": "246127039b09f75e" } ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3" - } - }, + "metadata": {}, "nbformat": 4, - "nbformat_minor": 4 + "nbformat_minor": 5 } diff --git a/tutorials/temperature_dependent_power_flow_timeseries.ipynb b/tutorials/temperature_dependent_power_flow_timeseries.ipynb index 6c255bc09d..9e15d50042 100644 --- a/tutorials/temperature_dependent_power_flow_timeseries.ipynb +++ b/tutorials/temperature_dependent_power_flow_timeseries.ipynb @@ -32,9 +32,9 @@ "import matplotlib.pyplot as plt\n", "\n", "from pandapower.control.basic_controller import Controller\n", - "from pandapower.test.loadflow.test_tdpf import simple_test_grid\n", "from pandapower.timeseries import DFData, OutputWriter, run_timeseries\n", - "from pandapower.control import ConstControl" + "from pandapower.control import ConstControl\n", + "from pandapower.networks.simple_pandapower_test_networks import simple_test_grid" ] }, { @@ -47,7 +47,7 @@ "class TDPF_timeseries_control(Controller):\n", " def is_converged(self, net):\n", " return True\n", - " \n", + "\n", " def finalize_step(self, net, time_step):\n", " net.line.loc[net.line.tdpf, \"temperature_degree_celsius\"] = \\\n", " net.res_line.loc[net.line.tdpf, \"temperature_degree_celsius\"]" @@ -142,9 +142,9 @@ "out_var = \"res_line.temperature_degree_celsius\"\n", "run_timeseries(net, time_steps=range(25), tdpf=True, max_iteration=50)\n", "output_ss = ow.output[out_var].copy()\n", - "run_timeseries(net, time_steps=range(25), tdpf=True, tdpf_delay_s=15*60, max_iteration=50)\n", + "run_timeseries(net, time_steps=range(25), tdpf=True, tdpf_delay_s=15 * 60, max_iteration=50)\n", "output_ss_20 = ow.output[out_var].copy()\n", - "run_timeseries(net, time_steps=range(25), tdpf=True, tdpf_delay_s=5*60, max_iteration=50)\n", + "run_timeseries(net, time_steps=range(25), tdpf=True, tdpf_delay_s=5 * 60, max_iteration=50)\n", "output_ss_20_5 = ow.output[out_var].copy()" ] }, @@ -157,10 +157,10 @@ "source": [ "TDPF_timeseries_control(net)\n", "net.line.temperature_degree_celsius = 20\n", - "run_timeseries(net, time_steps=range(25), tdpf=True, tdpf_delay_s=15*60, max_iteration=50)\n", + "run_timeseries(net, time_steps=range(25), tdpf=True, tdpf_delay_s=15 * 60, max_iteration=50)\n", "output_15 = ow.output[out_var].copy()\n", "net.line.temperature_degree_celsius = 20\n", - "run_timeseries(net, time_steps=range(25), tdpf=True, tdpf_delay_s=5*60, max_iteration=50)\n", + "run_timeseries(net, time_steps=range(25), tdpf=True, tdpf_delay_s=5 * 60, max_iteration=50)\n", "output_5 = ow.output[out_var].copy()" ] }, @@ -193,12 +193,12 @@ "output_ss[0].plot(ax=ax1, label=\"Line 0 (steady-state)\")\n", "output_ss_20[0].plot(ax=ax1, linestyle=\"--\", label=\"Line 0 (time resolution 15 min)\")\n", "output_ss_20_5[0].plot(ax=ax1, linestyle=\"--\", label=\"Line 0 (time resolution 5 min)\")\n", - "ax1.legend(title=\"Results for line:\", loc=\"upper center\", bbox_to_anchor=[0.5,-0.2])\n", + "ax1.legend(title=\"Results for line:\", loc=\"upper center\", bbox_to_anchor=[0.5, -0.2])\n", "\n", "output_ss[0].plot(ax=ax2, label=\"Line 0 (steady-state)\")\n", "output_15[0].plot(ax=ax2, linestyle=\"--\", label=\"Line 0 (time resolution 15 min)\")\n", "output_5[0].plot(ax=ax2, linestyle=\"--\", label=\"Line 0 (time resolution 5 min)\")\n", - "ax2.legend(title=\"Results for line:\", loc=\"upper center\", bbox_to_anchor=[0.5,-0.2])\n", + "ax2.legend(title=\"Results for line:\", loc=\"upper center\", bbox_to_anchor=[0.5, -0.2])\n", "\n", "ax1.set_ylabel(\"Line temperature (°C)\")\n", "ax1.set_xlabel(x_label)\n",