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| # Copyright (c) 2023, RTE (https://www.rte-france.com) | ||
| # See AUTHORS.txt | ||
| # This Source Code Form is subject to the terms of the Mozilla Public License, version 2.0. | ||
| # If a copy of the Mozilla Public License, version 2.0 was not distributed with this file, | ||
| # you can obtain one at http://mozilla.org/MPL/2.0/. | ||
| # SPDX-License-Identifier: MPL-2.0 | ||
| # This file is part of LightSim2grid, LightSim2grid implements a c++ backend targeting the Grid2Op platform. | ||
|
|
||
| import unittest | ||
| import pandapower as pp | ||
| import pandapower.networks as pn | ||
| import numpy as np | ||
| import scipy | ||
| import warnings | ||
|
|
||
| from pandapower.pypower.makeLODF import update_LODF_diag | ||
| from lightsim2grid.gridmodel import init | ||
| from lightsim2grid.solver import SolverType | ||
|
|
||
| import pdb | ||
|
|
||
| class TestLODFCase14SLU(unittest.TestCase): | ||
| def make_grid(self): | ||
| case14 = pn.case14() | ||
| return case14 | ||
|
|
||
| def get_solver_type(self): | ||
| return SolverType.DC | ||
|
|
||
| def setUp(self) -> None: | ||
| self.case = self.make_grid() | ||
| with warnings.catch_warnings(): | ||
| warnings.filterwarnings("ignore") | ||
| self.gridmodel = init(self.case) | ||
| self.V_init = 1. * self.gridmodel.get_bus_vn_kv() | ||
| solver_type = self.get_solver_type() | ||
| if solver_type not in self.gridmodel.available_solvers(): | ||
| self.skipTest("Solver type not supported on this platform") | ||
| self.gridmodel.change_solver(solver_type) | ||
| V = self.gridmodel.dc_pf(1. * self.V_init, 1, 1e-8) | ||
| assert len(V), f"dc pf has diverged with error {self.gridmodel.get_dc_solver().get_error()}" | ||
| self.dcYbus = 1.0 * self.gridmodel.get_dcYbus() | ||
| self.dcSbus = 1.0 * self.gridmodel.get_dcSbus().real | ||
| self.Bbus = 1.0 * self.dcYbus.real | ||
| self.res_powerflow = 1.0 * np.concatenate((self.gridmodel.get_lineor_res()[0], self.gridmodel.get_trafohv_res()[0])) | ||
| self.nb = self.case.bus.shape[0] | ||
| self.nbr = self.case.line.shape[0] + self.case.trafo.shape[0] | ||
| self.slack_bus = self.case.ext_grid.iloc[0]["bus"] | ||
| self.noref = np.arange(1, self.nb) ## use bus 1 for voltage angle reference | ||
| self.noslack = np.flatnonzero(np.arange(self.nb) != self.slack_bus) | ||
| self.tol = 1e-6 | ||
| return super().setUp() | ||
|
|
||
| def test_from_PTDF(self): | ||
| """compare the ls implementation pypower (in pandapowerer) | ||
| implementation and see if they match""" | ||
| PTDF = 1.0 * self.gridmodel.get_ptdf() | ||
|
|
||
| # pypower implementation | ||
| f_ = np.concatenate((1 * self.gridmodel.get_lines().get_bus_from(), 1 * self.gridmodel.get_trafos().get_bus_from())) | ||
| t_ = np.concatenate((1 * self.gridmodel.get_lines().get_bus_to(), 1 * self.gridmodel.get_trafos().get_bus_to())) | ||
| Cft = scipy.sparse.csr_matrix((np.r_[np.ones(self.nbr), -np.ones(self.nbr)], | ||
| (np.r_[f_, t_], np.r_[np.arange(self.nbr), np.arange(self.nbr)])), | ||
| (self.nb, self.nbr)) | ||
|
|
||
| H = PTDF * Cft | ||
| h = np.diag(H, 0) | ||
| den = (np.ones((self.nbr, 1)) * h.T * -1 + 1.) | ||
| with np.errstate(divide='ignore', invalid='ignore'): | ||
| LODF_pypower = (H / den) | ||
| update_LODF_diag(LODF_pypower) | ||
| # end pypower implementation | ||
|
|
||
| LODF_ls = 1.0 * self.gridmodel.get_lodf() | ||
|
|
||
| for l_id in range(LODF_ls.shape[0]): | ||
| pypow = 1. * LODF_pypower[:,l_id] | ||
| ls = 1. * LODF_ls[:,l_id] | ||
| if np.all(np.isfinite(pypow)): | ||
| # if everything works on pyower, it should work on lightsim2grid too | ||
| assert np.all(np.isfinite(ls)), f"error for line id {l_id}" | ||
| if np.all(np.isfinite(ls)): | ||
| # and the opposite too | ||
| assert np.all(np.isfinite(pypow)), f"error for line id {l_id}" | ||
| if np.any(~np.isfinite(pypow)): | ||
| # if it does not work for a given line, then | ||
| # every other flow are nan | ||
| assert np.all(~np.isfinite(pypow)), f"error for line id {l_id}" | ||
| # every flow for ls are nans too | ||
| assert np.all(~np.isfinite(ls)), f"error for line id {l_id}" | ||
| if np.any(~np.isfinite(ls)): | ||
| # if it does not work for a given line, then | ||
| # every other flow are nan | ||
| assert np.all(~np.isfinite(ls)), f"error for line id {l_id}" | ||
| # every flow for pypower are nans too | ||
| assert np.all(~np.isfinite(pypow)), f"error for line id {l_id}" | ||
| if np.all(np.isfinite(pypow)): | ||
| assert np.abs(pypow - ls).max() <= 1e-6, f"error for line id {l_id}" | ||
|
|
||
| def test_with_powerflow(self): | ||
| """compute powerflow with LODF and with "standard" powerflow | ||
| and see if it matches | ||
| """ | ||
| LODF_ls = 1.0 * self.gridmodel.get_lodf() | ||
| nb_powerlines = len(self.gridmodel.get_lines()) | ||
| for l_id in range(LODF_ls.shape[0]): | ||
| if l_id < nb_powerlines: | ||
| self.gridmodel.deactivate_powerline(l_id) | ||
| else: | ||
| self.gridmodel.deactivate_trafo(l_id - nb_powerlines) | ||
|
|
||
| V = self.gridmodel.dc_pf(1. * self.V_init, 1, 1e-8) | ||
| if V.shape[0] > 0: | ||
| # it has converged | ||
| por_pow = np.concatenate((self.gridmodel.get_lineor_res()[0], | ||
| self.gridmodel.get_trafohv_res()[0])) | ||
| por_lodf = self.res_powerflow + LODF_ls[:, l_id] * self.res_powerflow[l_id] | ||
| assert np.abs(por_lodf - por_pow).max() <= 1e-6, f"error for line id {l_id}" | ||
| else: | ||
| # it has diverged | ||
| assert np.all(~np.isfinite(LODF_ls[:,l_id])), f"error for line id {l_id}" | ||
|
|
||
| if l_id < nb_powerlines: | ||
| self.gridmodel.reactivate_powerline(l_id) | ||
| else: | ||
| self.gridmodel.reactivate_trafo(l_id - nb_powerlines) | ||
|
|
||
| class TestLODFCase30SLU(TestLODFCase14SLU): | ||
| def make_grid(self): | ||
| res = pn.case30() | ||
| return res | ||
|
|
||
|
|
||
| class TestLODFCase118SLU(TestLODFCase14SLU): | ||
| def make_grid(self): | ||
| res = pn.case118() | ||
| return res | ||
|
|
||
|
|
||
| class TestLODFCase14KLU(TestLODFCase14SLU): | ||
| def get_solver_type(self): | ||
| return SolverType.KLUDC | ||
|
|
||
|
|
||
| class TestLODFCase30KLU(TestLODFCase30SLU): | ||
| def get_solver_type(self): | ||
| return SolverType.KLUDC | ||
|
|
||
|
|
||
| class TestLODFCase118KLU(TestLODFCase118SLU): | ||
| def get_solver_type(self): | ||
| return SolverType.KLUDC | ||
|
|
||
|
|
||
| if __name__ == "__main__": | ||
| unittest.main() |
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