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test_PandaPowerBackend.py
1240 lines (1058 loc) · 60.7 KB
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test_PandaPowerBackend.py
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# Copyright (c) 2019-2020, 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 Grid2Op, Grid2Op a testbed platform to model sequential decision making in power systems.
import os
import unittest
import numpy as np
import copy
import pdb
import warnings
import grid2op
from grid2op.tests.helper_path_test import HelperTests, PATH_DATA_TEST_PP
from grid2op.Action import ActionSpace, CompleteAction
from grid2op.Backend import PandaPowerBackend
from grid2op.Parameters import Parameters
from grid2op.Chronics import ChronicsHandler
from grid2op.Environment import Environment
from grid2op.Exceptions import *
from grid2op.Rules import RulesChecker
from grid2op.MakeEnv import make
from grid2op.Rules import AlwaysLegal
from grid2op.Action._BackendAction import _BackendAction
PATH_DATA_TEST = PATH_DATA_TEST_PP
class TestLoadingCase(unittest.TestCase):
def setUp(self):
self.tolvect = 1e-2
self.tol_one = 1e-5
def test_load_file(self):
backend = PandaPowerBackend()
path_matpower = PATH_DATA_TEST
case_file = "test_case14.json"
backend.load_grid(path_matpower, case_file)
backend.set_env_name("TestLoadingCase_env")
assert backend.n_line == 20
assert backend.n_gen == 5
assert backend.n_load == 11
assert backend.n_sub == 14
name_line = ['0_1_0', '0_4_1', '8_9_2', '8_13_3', '9_10_4', '11_12_5', '12_13_6', '1_2_7',
'1_3_8', '1_4_9', '2_3_10', '3_4_11', '5_10_12', '5_11_13', '5_12_14', '3_6_15',
'3_8_16', '4_5_17', '6_7_18', '6_8_19']
name_line = np.array(name_line)
assert np.all(sorted(backend.name_line) == sorted(name_line))
name_sub = ['sub_0', 'sub_1', 'sub_2', 'sub_3', 'sub_4', 'sub_5', 'sub_6', 'sub_7', 'sub_8', 'sub_9', 'sub_10',
'sub_11', 'sub_12', 'sub_13']
name_sub = np.array(name_sub)
assert np.all(sorted(backend.name_sub) == sorted(name_sub))
name_gen = ['gen_0_4', 'gen_1_0', 'gen_2_1', 'gen_5_2', 'gen_7_3']
name_gen = np.array(name_gen)
assert np.all(sorted(backend.name_gen) == sorted(name_gen))
name_load = ['load_1_0', 'load_2_1', 'load_13_2', 'load_3_3', 'load_4_4', 'load_5_5', 'load_8_6',
'load_9_7', 'load_10_8', 'load_11_9', 'load_12_10']
name_load = np.array(name_load)
assert np.all(sorted(backend.name_load) == sorted(name_load))
assert np.all(backend.get_topo_vect() == np.ones(np.sum(backend.sub_info)))
backend.runpf()
try:
p_subs, q_subs, p_bus, q_bus = backend.check_kirchoff()
assert np.max(np.abs(p_subs)) <= self.tolvect
assert np.max(np.abs(q_subs)) <= self.tolvect
assert np.max(np.abs(p_bus.flatten())) <= self.tolvect
assert np.max(np.abs(q_bus.flatten())) <= self.tolvect
except Grid2OpException:
pass
def test_assert_grid_correct(self):
backend = PandaPowerBackend()
path_matpower = PATH_DATA_TEST
case_file = "test_case14.json"
backend.load_grid(path_matpower, case_file)
backend.set_env_name("TestLoadingCase_env2")
backend.assert_grid_correct()
backend.runpf()
backend.assert_grid_correct_after_powerflow()
class TestLoadingBackendFunc(unittest.TestCase):
# Cette méthode sera appelée avant chaque test.
def setUp(self):
self.backend = PandaPowerBackend()
self.path_matpower = PATH_DATA_TEST
self.case_file = "test_case14.json"
self.backend.load_grid(self.path_matpower, self.case_file)
self.tolvect = 1e-2
self.tol_one = 1e-5
self.game_rules = RulesChecker()
self.backend.set_env_name("TestLoadingBackendFunc_env")
self.action_env_class = ActionSpace.init_grid(self.backend)
self.action_env = self.action_env_class(gridobj=self.backend, legal_action=self.game_rules.legal_action)
self.bkact_class = _BackendAction.init_grid(self.backend)
# Cette méthode sera appelée après chaque test.
def tearDown(self):
pass
def compare_vect(self, pred, true):
return np.max(np.abs(pred- true)) <= self.tolvect
def test_runpf(self):
conv = self.backend.runpf(is_dc=True)
assert conv
true_values_ac = np.array([ 1.56882891e+02, 7.55103818e+01, 5.22755247e+00, 9.42638103e+00,
-3.78532238e+00, 1.61425777e+00, 5.64385098e+00, 7.32375792e+01,
5.61314959e+01, 4.15162150e+01, -2.32856901e+01, -6.11582304e+01,
7.35327698e+00, 7.78606702e+00, 1.77479769e+01, 2.80741759e+01,
1.60797576e+01, 4.40873209e+01, -1.11022302e-14, 2.80741759e+01])
true_values_dc = np.array([147.83859556, 71.16140444, 5.7716542 , 9.64132512,
-3.2283458 , 1.50735814, 5.25867488, 70.01463596,
55.1518527 , 40.9721069 , -24.18536404, -61.74649065,
6.7283458 , 7.60735814, 17.25131674, 28.36115279,
16.55182652, 42.78702069, 0. , 28.36115279])
p_or, *_ = self.backend.lines_or_info()
assert self.compare_vect(p_or, true_values_dc)
conv = self.backend.runpf(is_dc=False)
assert conv
p_or, *_ = self.backend.lines_or_info()
assert self.compare_vect(p_or, true_values_ac)
def test_voltage_convert_powerlines(self):
# i have the correct voltages in powerlines if the formula to link mw, mvar, kv and amps is correct
conv = self.backend.runpf(is_dc=False)
assert conv
p_or, q_or, v_or, a_or = self.backend.lines_or_info()
a_th = np.sqrt(p_or ** 2 + q_or ** 2) * 1e3 / (np.sqrt(3) * v_or)
assert self.compare_vect(a_th, a_or)
p_ex, q_ex, v_ex, a_ex = self.backend.lines_ex_info()
a_th = np.sqrt(p_ex ** 2 + q_ex ** 2) * 1e3 / (np.sqrt(3) * v_ex)
assert self.compare_vect(a_th, a_ex)
def test_voltages_correct_load_gen(self):
# i have the right voltages to generators and load, if it's the same as the voltage (correct from the above test)
# of the powerline connected to it.
conv = self.backend.runpf(is_dc=False)
load_p, load_q, load_v = self.backend.loads_info()
gen_p, gen__q, gen_v = self.backend.generators_info()
p_or, q_or, v_or, a_or = self.backend.lines_or_info()
p_ex, q_ex, v_ex, a_ex = self.backend.lines_ex_info()
for c_id, sub_id in enumerate(self.backend.load_to_subid):
l_id = np.where(self.backend.line_or_to_subid == sub_id)[0]
if len(l_id):
l_id = l_id[0]
assert np.abs(v_or[l_id] - load_v[c_id]) <= self.tol_one, "problem for load {}".format(c_id)
continue
l_id = np.where(self.backend.line_ex_to_subid == sub_id)[0]
if len(l_id):
l_id = l_id[0]
assert np.abs(v_ex[l_id] - load_v[c_id]) <= self.tol_one, "problem for load {}".format(c_id)
continue
assert False, "load {} has not been checked".format(c_id)
for g_id, sub_id in enumerate(self.backend.gen_to_subid):
l_id = np.where(self.backend.line_or_to_subid == sub_id)[0]
if len(l_id):
l_id = l_id[0]
assert np.abs(v_or[l_id] - gen_v[g_id]) <= self.tol_one, "problem for generator {}".format(g_id)
continue
l_id = np.where(self.backend.line_ex_to_subid == sub_id)[0]
if len(l_id):
l_id = l_id[0]
assert np.abs(v_ex[l_id] - gen_v[g_id]) <= self.tol_one, "problem for generator {}".format(g_id)
continue
assert False, "generator {} has not been checked".format(g_id)
def test_copy(self):
conv = self.backend.runpf(is_dc=False)
p_or_orig, *_ = self.backend.lines_or_info()
adn_backend_cpy = self.backend.copy()
self.backend._disconnect_line(3)
conv = self.backend.runpf(is_dc=False)
assert conv
conv2 = adn_backend_cpy.runpf(is_dc=False)
assert conv2
p_or_ref, *_ = self.backend.lines_or_info()
p_or, *_ = adn_backend_cpy.lines_or_info()
assert np.abs(p_or_ref[3]) <= self.tol_one
assert self.compare_vect(p_or_orig, p_or)
def test_get_line_status(self):
assert np.all(self.backend._get_line_status())
self.backend._disconnect_line(3)
assert np.sum(~self.backend._get_line_status()) == 1
assert not self.backend._get_line_status()[3]
def test_get_line_flow(self):
self.backend.runpf(is_dc=False)
true_values_ac = np.array([-20.40429168, 3.85499114, 4.2191378 , 3.61000624,
-1.61506292, 0.75395917, 1.74717378, 3.56020295,
-1.5503504 , 1.17099786, 4.47311562, 15.82364194,
3.56047297, 2.50341424, 7.21657539, -9.68106571,
-0.42761118, 12.47067981, -17.16297051, 5.77869057])
p_or_orig, q_or_orig, *_ = self.backend.lines_or_info()
assert self.compare_vect(q_or_orig, true_values_ac)
self.backend._disconnect_line(3)
a = self.backend.runpf(is_dc=False)
true_values_ac = np.array([-20.40028207, 3.65600775, 3.77916284, 0. ,
-2.10761554, 1.34025308, 5.86505081, 3.58514625,
-2.28717836, 0.81979017, 3.72328838, 17.09556423,
3.9548798 , 3.18389804, 11.24144925, -11.09660174,
-1.70423701, 13.14347167, -14.82917601, 2.276297 ])
p_or_orig, q_or_orig, *_ = self.backend.lines_or_info()
assert self.compare_vect(q_or_orig, true_values_ac)
def test_pf_ac_dc(self):
true_values_ac = np.array([-20.40429168, 3.85499114, 4.2191378 , 3.61000624,
-1.61506292, 0.75395917, 1.74717378, 3.56020295,
-1.5503504 , 1.17099786, 4.47311562, 15.82364194,
3.56047297, 2.50341424, 7.21657539, -9.68106571,
-0.42761118, 12.47067981, -17.16297051, 5.77869057])
conv = self.backend.runpf(is_dc=True)
assert conv
p_or_orig, q_or_orig, *_ = self.backend.lines_or_info()
assert np.all(q_or_orig == 0.)
conv = self.backend.runpf(is_dc=False)
assert conv
p_or_orig, q_or_orig, *_ = self.backend.lines_or_info()
assert self.compare_vect(q_or_orig, true_values_ac)
def test_get_thermal_limit(self):
res = self.backend.get_thermal_limit()
true_values_ac = np.array([ 42339.01974057, 42339.01974057, 27479652.23546777,
27479652.23546777, 27479652.23546777, 27479652.23546777,
27479652.23546777, 42339.01974057, 42339.01974057,
42339.01974057, 42339.01974057, 42339.01974057,
27479652.23546777, 27479652.23546777, 27479652.23546777,
42339.01974057, 42339.01974057, 42339.01974057,
408269.11892695, 408269.11892695])
assert self.compare_vect(res, true_values_ac)
def test_disconnect_line(self):
for i in range(self.backend.n_line):
if i == 18:
# powerflow diverge if line 1 is removed, unfortunately
continue
backend_cpy = self.backend.copy()
backend_cpy._disconnect_line(i)
conv = backend_cpy.runpf()
assert conv, "Power flow computation does not converge if line {} is removed".format(i)
flows = backend_cpy.get_line_status()
assert not flows[i]
assert np.sum(~flows) == 1
def test_donothing_action(self):
conv = self.backend.runpf()
init_flow = self.backend.get_line_flow()
init_lp, *_ = self.backend.loads_info()
init_gp, *_ = self.backend.generators_info()
init_ls = self.backend.get_line_status()
action = self.action_env({}) # update the action
bk_action = self.bkact_class()
bk_action += action
self.backend.apply_action( bk_action)
after_lp, *_ = self.backend.loads_info()
after_gp, *_ = self.backend.generators_info()
after_ls = self.backend.get_line_status()
assert self.compare_vect(init_lp, after_lp) # check i didn't modify the loads
# assert self.compare_vect(init_gp, after_gp) # check i didn't modify the generators # TODO here !!! problem with steady state P=C+L
assert np.all(init_ls == after_ls) # check i didn't disconnect any powerlines
conv = self.backend.runpf()
assert conv, "Cannot perform a powerflow after doing nothing"
after_flow = self.backend.get_line_flow()
assert self.compare_vect(init_flow, after_flow)
def test_apply_action_active_value(self):
# test that i can modify only the load / prod active values of the powergrid
# to do that i modify the productions and load all of a factor 0.5 and compare that the DC flows are
# also multiply by 2
# i set up the stuff to have exactly 0 losses
conv = self.backend.runpf(is_dc=True)
assert conv
init_flow, *_ = self.backend.lines_or_info()
init_lp, init_l_q, *_ = self.backend.loads_info()
init_gp, *_ = self.backend.generators_info()
init_ls = self.backend.get_line_status()
ratio = 1.0
new_cp = ratio * init_lp
new_pp = ratio * init_gp*np.sum(init_lp)/np.sum(init_gp)
action = self.action_env({"injection": {"load_p": new_cp,
"prod_p": new_pp}}) # update the action
bk_action = self.bkact_class()
bk_action += action
self.backend.apply_action(bk_action)
conv = self.backend.runpf(is_dc=True)
# now the system has exactly 0 losses (ie sum load = sum gen)
# i check that if i divide by 2, then everything is divided by 2
assert conv
init_flow, *_ = self.backend.lines_or_info()
init_lp, init_l_q, *_ = self.backend.loads_info()
init_gp, *_ = self.backend.generators_info()
init_ls = self.backend.get_line_status()
ratio = 0.5
new_cp = ratio * init_lp
new_pp = ratio * init_gp
action = self.action_env({"injection": {"load_p": new_cp,
"prod_p": new_pp}}) # update the action
bk_action = self.bkact_class()
bk_action += action
self.backend.apply_action(bk_action)
conv = self.backend.runpf(is_dc=True)
assert conv, "Cannot perform a powerflow after doing nothing"
after_lp, after_lq, *_ = self.backend.loads_info()
after_gp, *_ = self.backend.generators_info()
after_ls = self.backend.get_line_status()
assert self.compare_vect(new_cp, after_lp) # check i didn't modify the loads
try:
p_subs, q_subs, p_bus, q_bus = self.backend.check_kirchoff()
# i'm in DC mode, i can't check for reactive values...
assert np.max(np.abs(p_subs)) <= self.tolvect, "problem with active values, at substation"
assert np.max(np.abs(p_bus.flatten())) <= self.tolvect, "problem with active values, at a bus"
except Grid2OpException:
pass
assert self.compare_vect(new_pp, after_gp) # check i didn't modify the generators
assert np.all(init_ls == after_ls) # check i didn't disconnect any powerlines
after_flow, *_ = self.backend.lines_or_info()
assert self.compare_vect(ratio*init_flow, after_flow) # probably an error with the DC approx
def test_apply_action_prod_v(self):
conv = self.backend.runpf(is_dc=False)
prod_p_init, prod_q_init, prod_v_init = self.backend.generators_info()
ratio = 1.05
action = self.action_env({"injection": {"prod_v": ratio*prod_v_init}}) # update the action
bk_action = self.bkact_class()
bk_action += action
self.backend.apply_action(bk_action)
conv = self.backend.runpf(is_dc=False)
assert conv, "Cannot perform a powerflow aftermodifying the powergrid"
prod_p_after, prod_q_after, prod_v_after = self.backend.generators_info()
assert self.compare_vect(ratio*prod_v_init, prod_v_after) # check i didn't modify the generators
def test_apply_action_maintenance(self):
# retrieve some initial data to be sure only a subpart of the _grid is modified
conv = self.backend.runpf()
init_lp, *_ = self.backend.loads_info()
init_gp, *_ = self.backend.generators_info()
# check that maintenance vector is properly taken into account
maintenance = np.full((self.backend.n_line,), fill_value=False, dtype=np.bool)
maintenance[19] = True
action = self.action_env({"maintenance": maintenance}) # update the action
bk_action = self.bkact_class()
bk_action += action
# apply the action here
self.backend.apply_action( bk_action)
# compute a load flow an performs more tests
conv = self.backend.runpf()
assert conv, "Power does not converge if line {} is removed".format(19)
# performs basic check
after_lp, *_ = self.backend.loads_info()
after_gp, *_ = self.backend.generators_info()
after_ls = self.backend.get_line_status()
assert self.compare_vect(init_lp, after_lp) # check i didn't modify the loads
# assert self.compare_vect(init_gp, after_gp) # check i didn't modify the generators # TODO here problem with steady state P=C+L
assert np.all(~maintenance == after_ls) # check i didn't disconnect any powerlines beside the correct one
flows = self.backend.get_line_status()
assert np.sum(~flows) == 1
assert not flows[19]
def test_apply_action_hazard(self):
conv = self.backend.runpf()
init_lp, *_ = self.backend.loads_info()
init_gp, *_ = self.backend.generators_info()
# check that maintenance vector is properly taken into account
maintenance = np.full((self.backend.n_line,), fill_value=False, dtype=np.bool)
maintenance[17] = True
action = self.action_env({"hazards": maintenance}) # update the action
bk_action = self.bkact_class()
bk_action += action
# apply the action here
self.backend.apply_action( bk_action)
# compute a load flow an performs more tests
conv = self.backend.runpf()
assert conv, "Power does not converge if line {} is removed".format(19)
# performs basic check
after_lp, *_ = self.backend.loads_info()
after_gp, *_ = self.backend.generators_info()
after_ls = self.backend.get_line_status()
assert self.compare_vect(init_lp, after_lp) # check i didn't modify the loads
# assert self.compare_vect(init_gp, after_gp) # check i didn't modify the generators # TODO here problem with steady state P=C+L
assert np.all(maintenance == ~after_ls) # check i didn't disconnect any powerlines beside the correct one
#
def test_apply_action_disconnection(self):
# retrieve some initial data to be sure only a subpart of the _grid is modified
conv = self.backend.runpf()
init_lp, *_ = self.backend.loads_info()
init_gp, *_ = self.backend.generators_info()
# check that maintenance vector is properly taken into account
maintenance = np.full((self.backend.n_line,), fill_value=False, dtype=np.bool)
maintenance[19] = True
disc = np.full((self.backend.n_line,), fill_value=False, dtype=np.bool)
disc[17] = True
action = self.action_env({"hazards": disc, "maintenance": maintenance}) # update the action
bk_action = self.bkact_class()
bk_action += action
# apply the action here
self.backend.apply_action( bk_action)
# compute a load flow an performs more tests
conv = self.backend.runpf()
assert conv, "Power does not converge if lines {} and {} are removed".format(17, 19)
# performs basic check
after_lp, *_ = self.backend.loads_info()
after_gp, *_ = self.backend.generators_info()
after_ls = self.backend.get_line_status()
assert self.compare_vect(init_lp, after_lp) # check i didn't modify the loads
# assert self.compare_vect(init_gp, after_gp) # check i didn't modify the generators # TODO here problem with steady state, P=C+L
assert np.all(disc | maintenance == ~after_ls) # check i didn't disconnect any powerlines beside the correct one
flows = self.backend.get_line_status()
assert np.sum(~flows) == 2
assert not flows[19]
assert not flows[17]
class TestTopoAction(unittest.TestCase):
# Cette méthode sera appelée avant chaque test.
def setUp(self):
self.backend = PandaPowerBackend()
self.path_matpower = PATH_DATA_TEST
self.case_file = "test_case14.json"
self.backend.load_grid(self.path_matpower, self.case_file)
self.tolvect = 1e-2
self.tol_one = 1e-5
self.game_rules = RulesChecker()
self.backend.set_env_name("TestTopoAction_env")
as_class = ActionSpace.init_grid(self.backend)
self.helper_action = as_class(gridobj=self.backend, legal_action=self.game_rules.legal_action)
self.bkact_class = _BackendAction.init_grid(self.backend)
# Cette méthode sera appelée après chaque test.
def tearDown(self):
pass
def compare_vect(self, pred, true):
return np.max(np.abs(pred- true)) <= self.tolvect
def test_get_topo_vect_speed(self):
# retrieve some initial data to be sure only a subpart of the _grid is modified
conv = self.backend.runpf()
init_amps_flow = self.backend.get_line_flow()
# check that maintenance vector is properly taken into account
arr = np.array([1, 1, 1, 2, 2, 2], dtype=np.int)
id_=1
action = self.helper_action({"set_bus": {"substations_id": [(id_, arr)]}})
bk_action = self.bkact_class()
bk_action += action
# apply the action here
self.backend.apply_action( bk_action)
conv = self.backend.runpf()
assert conv
after_amps_flow = self.backend.get_line_flow()
topo_vect = self.backend.get_topo_vect()
topo_vect_old = self.backend._get_topo_vect_old()
assert self.compare_vect(topo_vect, topo_vect_old) == True
def test_topo_set1sub(self):
# retrieve some initial data to be sure only a subpart of the _grid is modified
conv = self.backend.runpf()
init_amps_flow = self.backend.get_line_flow()
# check that maintenance vector is properly taken into account
arr = np.array([1, 1, 1, 2, 2, 2], dtype=np.int)
id_=1
action = self.helper_action({"set_bus": {"substations_id": [(id_, arr)]}})
bk_action = self.bkact_class()
bk_action += action
# apply the action here
self.backend.apply_action( bk_action)
conv = self.backend.runpf()
assert conv
after_amps_flow = self.backend.get_line_flow()
topo_vect = self.backend.get_topo_vect()
assert np.min(topo_vect) == 1, "all buses have been changed"
assert np.max(topo_vect) == 2, "no buses have been changed"
# check that the objects have been properly moved
load_ids = np.where(self.backend.load_to_subid==id_)[0]
assert np.all(topo_vect[self.backend.load_pos_topo_vect[load_ids]] == arr[self.backend.load_to_sub_pos[load_ids]])
lor_ids = np.where(self.backend.line_or_to_subid==id_)[0]
assert np.all(topo_vect[self.backend.line_or_pos_topo_vect[lor_ids]] == arr[self.backend.line_or_to_sub_pos[lor_ids]])
lex_ids = np.where(self.backend.line_ex_to_subid==id_)[0]
assert np.all(topo_vect[self.backend.line_ex_pos_topo_vect[lex_ids]] == arr[self.backend.line_ex_to_sub_pos[lex_ids]])
gen_ids = np.where(self.backend.gen_to_subid==id_)[0]
assert np.all(topo_vect[self.backend.gen_pos_topo_vect[gen_ids]] == arr[self.backend.gen_to_sub_pos[gen_ids]])
after_amps_flow_th = np.array([6.38865247e+02, 3.81726828e+02, 1.78001287e+04, 2.70742428e+04,
1.06755055e+04, 4.71160165e+03, 1.52265925e+04, 3.37755751e+02,
3.00535519e+02, 5.01164454e-13, 7.01900962e+01, 1.73874580e+02,
2.08904697e+04, 2.11757439e+04, 4.93863382e+04, 1.31935835e+02,
6.99779475e+01, 1.85068609e+02, 7.47283039e+02, 1.14125596e+03])
after_amps_flow_th = np.array([ 596.58386539, 342.31364678, 18142.87789987, 27084.37162086,
10155.86483194, 4625.93022957, 15064.92626615, 322.59381855,
273.6977149 , 82.21908229, 80.91290202, 206.04740125,
20480.81970337, 21126.22533095, 49275.71520428, 128.04429617,
69.00661266, 188.44754187, 688.1371226 , 1132.42521887])
assert self.compare_vect(after_amps_flow, after_amps_flow_th)
try:
p_subs, q_subs, p_bus, q_bus = self.backend.check_kirchoff()
assert np.max(np.abs(p_subs)) <= self.tolvect, "problem with active values, at substation"
assert np.max(np.abs(q_subs)) <= self.tolvect, "problem with reactive values, at substation"
assert np.max(np.abs(p_bus.flatten())) <= self.tolvect, "problem with active values, at a bus"
assert np.max(np.abs(q_bus.flatten())) <= self.tolvect, "problem with reaactive values, at a load"
except Grid2OpException:
pass
def test_topo_change1sub(self):
# check that switching the bus of 3 object is equivalent to set them to bus 2 (as above)
conv = self.backend.runpf()
init_amps_flow = self.backend.get_line_flow()
# check that maintenance vector is properly taken into account
arr = np.array([False, False, False, True, True, True], dtype=np.bool)
id_ = 1
action = self.helper_action({"change_bus": {"substations_id": [(id_, arr)]}})
bk_action = self.bkact_class()
bk_action += action
# apply the action here
self.backend.apply_action( bk_action)
# run the powerflow
conv = self.backend.runpf()
assert conv
after_amps_flow = self.backend.get_line_flow()
topo_vect = self.backend.get_topo_vect()
assert np.min(topo_vect) == 1, "all buses have been changed"
assert np.max(topo_vect) == 2, "no buses have been changed"
# check that the objects have been properly moved
load_ids = np.where(self.backend.load_to_subid==id_)[0]
assert np.all(topo_vect[self.backend.load_pos_topo_vect[load_ids]] == 1+arr[self.backend.load_to_sub_pos[load_ids]])
lor_ids = np.where(self.backend.line_or_to_subid==id_)[0]
assert np.all(topo_vect[self.backend.line_or_pos_topo_vect[lor_ids]] == 1+arr[self.backend.line_or_to_sub_pos[lor_ids]])
lex_ids = np.where(self.backend.line_ex_to_subid==id_)[0]
assert np.all(topo_vect[self.backend.line_ex_pos_topo_vect[lex_ids]] == 1+arr[self.backend.line_ex_to_sub_pos[lex_ids]])
gen_ids = np.where(self.backend.gen_to_subid==id_)[0]
assert np.all(topo_vect[self.backend.gen_pos_topo_vect[gen_ids]] == 1+arr[self.backend.gen_to_sub_pos[gen_ids]])
after_amps_flow_th = np.array([ 596.58386539, 342.31364678, 18142.87789987, 27084.37162086,
10155.86483194, 4625.93022957, 15064.92626615, 322.59381855,
273.6977149 , 82.21908229, 80.91290202, 206.04740125,
20480.81970337, 21126.22533095, 49275.71520428, 128.04429617,
69.00661266, 188.44754187, 688.1371226 , 1132.42521887])
assert self.compare_vect(after_amps_flow, after_amps_flow_th)
try:
p_subs, q_subs, p_bus, q_bus = self.backend.check_kirchoff()
assert np.max(np.abs(p_subs)) <= self.tolvect, "problem with active values, at substation"
assert np.max(np.abs(q_subs)) <= self.tolvect, "problem with reactive values, at substation"
assert np.max(np.abs(p_bus.flatten())) <= self.tolvect, "problem with active values, at a bus"
assert np.max(np.abs(q_bus.flatten())) <= self.tolvect, "problem with reaactive values, at a load"
except Grid2OpException:
pass
def test_topo_change_1sub_twice(self):
# check that switching the bus of 3 object is equivalent to set them to bus 2 (as above)
# and that setting it again is equivalent to doing nothing
conv = self.backend.runpf()
init_amps_flow = copy.deepcopy(self.backend.get_line_flow())
# check that maintenance vector is properly taken into account
arr = np.array([False, False, False, True, True, True], dtype=np.bool)
id_ = 1
action = self.helper_action({"change_bus": {"substations_id": [(id_, arr)]}})
bk_action = self.bkact_class()
bk_action += action
# apply the action here
self.backend.apply_action( bk_action)
conv = self.backend.runpf()
bk_action.reset()
assert conv
after_amps_flow = self.backend.get_line_flow()
topo_vect = self.backend.get_topo_vect()
assert np.min(topo_vect) == 1, "all buses have been changed"
assert np.max(topo_vect) == 2, "no buses have been changed"
# check that the objects have been properly moved
load_ids = np.where(self.backend.load_to_subid == id_)[0]
assert np.all(
topo_vect[self.backend.load_pos_topo_vect[load_ids]] == 1+arr[self.backend.load_to_sub_pos[load_ids]])
lor_ids = np.where(self.backend.line_or_to_subid == id_)[0]
assert np.all(
topo_vect[self.backend.line_or_pos_topo_vect[lor_ids]] == 1+arr[self.backend.line_or_to_sub_pos[lor_ids]])
lex_ids = np.where(self.backend.line_ex_to_subid == id_)[0]
assert np.all(
topo_vect[self.backend.line_ex_pos_topo_vect[lex_ids]] == 1+arr[self.backend.line_ex_to_sub_pos[lex_ids]])
gen_ids = np.where(self.backend.gen_to_subid == id_)[0]
assert np.all(topo_vect[self.backend.gen_pos_topo_vect[gen_ids]] == 1+arr[self.backend.gen_to_sub_pos[gen_ids]])
after_amps_flow_th = np.array([ 596.58386539, 342.31364678, 18142.87789987, 27084.37162086,
10155.86483194, 4625.93022957, 15064.92626615, 322.59381855,
273.6977149 , 82.21908229, 80.91290202, 206.04740125,
20480.81970337, 21126.22533095, 49275.71520428, 128.04429617,
69.00661266, 188.44754187, 688.1371226 , 1132.42521887])
assert self.compare_vect(after_amps_flow, after_amps_flow_th)
try:
p_subs, q_subs, p_bus, q_bus = self.backend.check_kirchoff()
assert np.max(np.abs(p_subs)) <= self.tolvect, "problem with active values, at substation"
assert np.max(np.abs(q_subs)) <= self.tolvect, "problem with reactive values, at substation"
assert np.max(np.abs(p_bus.flatten())) <= self.tolvect, "problem with active values, at a bus"
assert np.max(np.abs(q_bus.flatten())) <= self.tolvect, "problem with reaactive values, at a load"
except Grid2OpException:
pass
action = self.helper_action({"change_bus": {"substations_id": [(id_, arr)]}})
bk_action += action
# apply the action here
self.backend.apply_action( bk_action)
conv = self.backend.runpf()
assert conv
after_amps_flow = self.backend.get_line_flow()
assert self.compare_vect(after_amps_flow, init_amps_flow)
topo_vect = self.backend.get_topo_vect()
assert np.min(topo_vect) == 1
assert np.max(topo_vect) == 1
try:
p_subs, q_subs, p_bus, q_bus = self.backend.check_kirchoff()
assert np.max(np.abs(p_subs)) <= self.tolvect, "problem with active values, at substation"
assert np.max(np.abs(q_subs)) <= self.tolvect, "problem with reactive values, at substation"
assert np.max(np.abs(p_bus.flatten())) <= self.tolvect, "problem with active values, at a bus"
assert np.max(np.abs(q_bus.flatten())) <= self.tolvect, "problem with reaactive values, at a load"
except Grid2OpException:
pass
def test_topo_change_2sub(self):
# check that maintenance vector is properly taken into account
arr1 = np.array([False, False, False, True, True, True], dtype=np.bool)
arr2 = np.array([1, 1, 2, 2], dtype=np.int)
id_1 = 1
id_2 = 12
action = self.helper_action({"change_bus": {"substations_id": [(id_1, arr1)]},
"set_bus": {"substations_id": [(id_2, arr2)]}})
bk_action = self.bkact_class()
bk_action += action
# apply the action here
self.backend.apply_action( bk_action)
conv = self.backend.runpf()
assert conv
# check the _grid is correct
topo_vect = self.backend.get_topo_vect()
assert np.min(topo_vect) == 1, "all buses have been changed"
assert np.max(topo_vect) == 2, "no buses have been changed"
# check that the objects have been properly moved
load_ids = np.where(self.backend.load_to_subid == id_1)[0]
assert np.all(
topo_vect[self.backend.load_pos_topo_vect[load_ids]] == 1+arr1[self.backend.load_to_sub_pos[load_ids]])
lor_ids = np.where(self.backend.line_or_to_subid == id_1)[0]
assert np.all(
topo_vect[self.backend.line_or_pos_topo_vect[lor_ids]] == 1+arr1[self.backend.line_or_to_sub_pos[lor_ids]])
lex_ids = np.where(self.backend.line_ex_to_subid == id_1)[0]
assert np.all(
topo_vect[self.backend.line_ex_pos_topo_vect[lex_ids]] == 1+arr1[self.backend.line_ex_to_sub_pos[lex_ids]])
gen_ids = np.where(self.backend.gen_to_subid == id_1)[0]
assert np.all(topo_vect[self.backend.gen_pos_topo_vect[gen_ids]] == 1+arr1[self.backend.gen_to_sub_pos[gen_ids]])
load_ids = np.where(self.backend.load_to_subid == id_2)[0]
assert np.all(
topo_vect[self.backend.load_pos_topo_vect[load_ids]] == arr2[self.backend.load_to_sub_pos[load_ids]])
lor_ids = np.where(self.backend.line_or_to_subid == id_2)[0]
assert np.all(
topo_vect[self.backend.line_or_pos_topo_vect[lor_ids]] == arr2[self.backend.line_or_to_sub_pos[lor_ids]])
lex_ids = np.where(self.backend.line_ex_to_subid == id_2)[0]
assert np.all(
topo_vect[self.backend.line_ex_pos_topo_vect[lex_ids]] == arr2[self.backend.line_ex_to_sub_pos[lex_ids]])
gen_ids = np.where(self.backend.gen_to_subid == id_2)[0]
assert np.all(topo_vect[self.backend.gen_pos_topo_vect[gen_ids]] == arr2[self.backend.gen_to_sub_pos[gen_ids]])
after_amps_flow = self.backend.get_line_flow()
after_amps_flow_th = np.array([ 596.97014348, 342.10559579, 16615.11815357, 31328.50690716,
11832.77202397, 11043.10650167, 11043.10650167, 322.79533908,
273.86501458, 82.34066647, 80.89289074, 208.42396413,
22178.16766548, 27690.51322075, 38684.31540646, 129.44842477,
70.02629553, 185.67687123, 706.77680037, 1155.45754617])
assert self.compare_vect(after_amps_flow, after_amps_flow_th)
try:
p_subs, q_subs, p_bus, q_bus = self.backend.check_kirchoff()
assert np.max(np.abs(p_subs)) <= self.tolvect, "problem with active values, at substation"
assert np.max(np.abs(q_subs)) <= self.tolvect, "problem with reactive values, at substation"
assert np.max(np.abs(p_bus.flatten())) <= self.tolvect, "problem with active values, at a bus"
assert np.max(np.abs(q_bus.flatten())) <= self.tolvect, "problem with reaactive values, at a load"
except Grid2OpException:
pass
class TestEnvPerformsCorrectCascadingFailures(unittest.TestCase):
"""
Test the "next_grid_state" method of the back-end
"""
def setUp(self):
self.backend = PandaPowerBackend(detailed_infos_for_cascading_failures=True)
self.path_matpower = PATH_DATA_TEST
self.case_file = "test_case14.json"
self.backend.load_grid(self.path_matpower, self.case_file)
self.backend.set_env_name("TestEnvPerformsCorrectCascadingFailures_env")
self.tolvect = 1e-2
self.tol_one = 1e-5
self.game_rules = RulesChecker()
self.action_env = ActionSpace(gridobj=self.backend, legal_action=self.game_rules.legal_action)
self.lines_flows_init = np.array([ 638.28966637, 305.05042301, 17658.9674809 , 26534.04334098,
10869.23856329, 4686.71726729, 15612.65903298, 300.07915572,
229.8060832 , 169.97292682, 100.40192958, 265.47505664,
21193.86923911, 21216.44452327, 49701.1565287 , 124.79684388,
67.59759985, 192.19424706, 666.76961936, 1113.52773632])
# _parameters for the environment
self.env_params = Parameters()
# used for init an env too
self.chronics_handler = ChronicsHandler()
self.id_first_line_disco = 8 # due to hard overflow
self.id_2nd_line_disco = 11 # due to soft overflow
def next_grid_state_no_overflow(self):
# first i test that, when there is no overflow, i dont do a cascading failure
env = Environment(init_grid_path=os.path.join(self.path_matpower, self.case_file),
backend=self.backend,
chronics_handler=self.chronics_handler,
parameters=self.env_params,
name="test_pp_env1")
disco, infos = self.backend.next_grid_state(env, is_dc=False)
assert not infos
def test_next_grid_state_1overflow(self):
# second i test that, when is one line on hard overflow it is disconnected
case_file = self.case_file
env_params = copy.deepcopy(self.env_params)
env_params.HARD_OVERFLOW_THRESHOLD = 1.5
env = Environment(init_grid_path=os.path.join(self.path_matpower, case_file),
backend=self.backend,
chronics_handler=self.chronics_handler,
parameters=env_params,
name="test_pp_env2")
self.backend.load_grid(self.path_matpower, case_file)
thermal_limit = 10*self.lines_flows_init
thermal_limit[self.id_first_line_disco] = self.lines_flows_init[self.id_first_line_disco]/2
self.backend.set_thermal_limit(thermal_limit)
disco, infos = self.backend.next_grid_state(env, is_dc=False)
assert len(infos) == 1 # check that i have only one overflow
assert np.sum(disco) == 1
def test_next_grid_state_1overflow_envNoCF(self):
# third i test that, if a line is on hard overflow, but i'm on a "no cascading failure" mode,
# i don't simulate a cascading failure
self.env_params.NO_OVERFLOW_DISCONNECTION = True
case_file = self.case_file
env_params = copy.deepcopy(self.env_params)
env_params.HARD_OVERFLOW_THRESHOLD = 1.5
env = Environment(init_grid_path=os.path.join(self.path_matpower, case_file),
backend=self.backend,
chronics_handler=self.chronics_handler,
parameters=self.env_params,
name="test_pp_env3")
self.backend.load_grid(self.path_matpower, case_file)
thermal_limit = 10*self.lines_flows_init
thermal_limit[self.id_first_line_disco] = self.lines_flows_init[self.id_first_line_disco]/2
self.backend.set_thermal_limit(thermal_limit)
disco, infos = self.backend.next_grid_state(env, is_dc=False)
assert not infos # check that don't simulate a cascading failure
assert np.sum(disco) == 0
def test_nb_timestep_overflow_disc0(self):
# on this _grid, first line with id 5 is overheated,
# it is disconnected
# then powerline 16 have a relative flow of 1.5916318201096937
# in this scenario i don't have a second line disconnection.
case_file = self.case_file
env_params = copy.deepcopy(self.env_params)
env_params.HARD_OVERFLOW_THRESHOLD = 1.5
env_params.NB_TIMESTEP_OVERFLOW_ALLOWED = 0
env = Environment(init_grid_path=os.path.join(self.path_matpower, case_file),
backend=self.backend,
chronics_handler=self.chronics_handler,
parameters=env_params,
name="test_pp_env4")
self.backend.load_grid(self.path_matpower, case_file)
thermal_limit = 10*self.lines_flows_init
thermal_limit[self.id_first_line_disco] = self.lines_flows_init[self.id_first_line_disco]/2
thermal_limit[self.id_2nd_line_disco] = 400
self.backend.set_thermal_limit(thermal_limit)
disco, infos = self.backend.next_grid_state(env, is_dc=False)
assert len(infos) == 2 # check that there is a cascading failure of length 2
assert disco[self.id_first_line_disco]
assert disco[self.id_2nd_line_disco]
assert np.sum(disco) == 2
def test_nb_timestep_overflow_nodisc(self):
# on this _grid, first line with id 18 is overheated,
# it is disconnected
# then powerline 16 have a relative flow of 1.5916318201096937
# in this scenario i don't have a second line disconnection because
# the overflow is a soft overflow and the powerline is presumably overflow since 0
# timestep
case_file = self.case_file
env_params = copy.deepcopy(self.env_params)
env_params.HARD_OVERFLOW_THRESHOLD = 1.5
env = Environment(init_grid_path=os.path.join(self.path_matpower, case_file),
backend=self.backend,
chronics_handler=self.chronics_handler,
parameters=env_params,
name="test_pp_env5")
self.backend.load_grid(self.path_matpower, case_file)
env.timestep_overflow[self.id_2nd_line_disco] = 0
thermal_limit = 10*self.lines_flows_init
thermal_limit[self.id_first_line_disco] = self.lines_flows_init[self.id_first_line_disco]/2
thermal_limit[self.id_2nd_line_disco] = 400
self.backend.set_thermal_limit(thermal_limit)
disco, infos = self.backend.next_grid_state(env, is_dc=False)
assert len(infos) == 1 # check that don't simulate a cascading failure
assert disco[self.id_first_line_disco]
assert np.sum(disco) == 1
def test_nb_timestep_overflow_nodisc_2(self):
# on this _grid, first line with id 18 is overheated,
# it is disconnected
# then powerline 16 have a relative flow of 1.5916318201096937
# in this scenario i don't have a second line disconnection because
# the overflow is a soft overflow and the powerline is presumably overflow since only 1
# timestep
case_file = self.case_file
env_params = copy.deepcopy(self.env_params)
env_params.HARD_OVERFLOW_THRESHOLD = 1.5
env = Environment(init_grid_path=os.path.join(self.path_matpower, case_file),
backend=self.backend,
chronics_handler=self.chronics_handler,
parameters=env_params,
name="test_pp_env6")
self.backend.load_grid(self.path_matpower, case_file)
env.timestep_overflow[self.id_2nd_line_disco] = 1
thermal_limit = 10*self.lines_flows_init
thermal_limit[self.id_first_line_disco] = self.lines_flows_init[self.id_first_line_disco]/2
thermal_limit[self.id_2nd_line_disco] = 400
self.backend.set_thermal_limit(thermal_limit)
disco, infos = self.backend.next_grid_state(env, is_dc=False)
assert len(infos) == 1 # check that don't simulate a cascading failure
assert disco[self.id_first_line_disco]
assert np.sum(disco) == 1
def test_nb_timestep_overflow_disc2(self):
# on this _grid, first line with id 18 is overheated,
# it is disconnected
# then powerline 16 have a relative flow of 1.5916318201096937
# in this scenario I have a second disconnection, because the powerline is allowed to be on overflow for 2
# timestep and is still on overflow here.
case_file = self.case_file
env_params = copy.deepcopy(self.env_params)
env_params.HARD_OVERFLOW_THRESHOLD = 1.5
env_params.NB_TIMESTEP_OVERFLOW_ALLOWED = 2
env = Environment(init_grid_path=os.path.join(self.path_matpower, case_file),
backend=self.backend,
chronics_handler=self.chronics_handler,
parameters=env_params,
name="test_pp_env7")
self.backend.load_grid(self.path_matpower, case_file)
env.timestep_overflow[self.id_2nd_line_disco] = 2
thermal_limit = 10*self.lines_flows_init
thermal_limit[self.id_first_line_disco] = self.lines_flows_init[self.id_first_line_disco]/2
thermal_limit[self.id_2nd_line_disco] = 400
self.backend.set_thermal_limit(thermal_limit)
disco, infos = self.backend.next_grid_state(env, is_dc=False)
assert len(infos) == 2 # check that there is a cascading failure of length 2
assert disco[self.id_first_line_disco]
assert disco[self.id_2nd_line_disco]
assert np.sum(disco) == 2
for i, grid_tmp in enumerate(infos):
assert (not grid_tmp.get_line_status()[self.id_first_line_disco])
if i == 1:
assert (not grid_tmp.get_line_status()[self.id_2nd_line_disco])
class TestChangeBusAffectRightBus(unittest.TestCase):
def test_set_bus(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
env = make(test=True)
env.reset()
# action = env.helper_action_player({"change_bus": {"lines_or_id": [17]}})
action = env.helper_action_player({"set_bus": {"lines_or_id": [(17, 2)]}})
obs, reward, done, info = env.step(action)
assert np.all(np.isfinite(obs.v_or))
assert np.sum(env.backend._grid["bus"]["in_service"]) == 15
def test_change_bus(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
env = make(test=True)
env.reset()
action = env.helper_action_player({"change_bus": {"lines_or_id": [17]}})
obs, reward, done, info = env.step(action)
assert np.all(np.isfinite(obs.v_or))
assert np.sum(env.backend._grid["bus"]["in_service"]) == 15
def test_change_bustwice(self):
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
env = make(test=True)
env.reset()
action = env.helper_action_player({"change_bus": {"lines_or_id": [17]}})
obs, reward, done, info = env.step(action)
assert not done
assert np.all(np.isfinite(obs.v_or))
assert np.sum(env.backend._grid["bus"]["in_service"]) == 15
assert env.backend._grid["trafo"]["hv_bus"][2] == 18
action = env.helper_action_player({"change_bus": {"lines_or_id": [17]}})
obs, reward, done, info = env.step(action)
assert not done
assert np.all(np.isfinite(obs.v_or))
assert np.sum(env.backend._grid["bus"]["in_service"]) == 14
assert env.backend._grid["trafo"]["hv_bus"][2] == 4
def test_isolate_load(self):