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test_ObservationHazard_Maintenance.py
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test_ObservationHazard_Maintenance.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 json
import tempfile
import warnings
import pdb
from grid2op.tests.helper_path_test import *
import grid2op
from grid2op.dtypes import dt_int, dt_float, dt_bool
from grid2op.Exceptions import *
from grid2op.Observation import ObservationSpace, CompleteObservation
from grid2op.Chronics import ChronicsHandler, GridStateFromFile, GridStateFromFileWithForecasts
from grid2op.Rules import RulesChecker, DefaultRules
from grid2op.Reward import L2RPNReward, CloseToOverflowReward, RedispReward
from grid2op.Parameters import Parameters
from grid2op.Backend import PandaPowerBackend
from grid2op.Environment import Environment
from grid2op.MakeEnv import make
from grid2op.Action import CompleteAction, PlayableAction
# TODO add unit test for the proper update the backend in the observation [for now there is a "data leakage" as
# the real backend is copied when the observation is built, but i need to make a test to check that's it's properly
# copied]
# temporary deactivation of all the failing test until simulate is fixed
DEACTIVATE_FAILING_TEST = False
import warnings
warnings.simplefilter("error")
class TestObservationHazard(unittest.TestCase):
def setUp(self):
"""
The case file is a representation of the case14 as found in the ieee14 powergrid.
:return:
"""
# from ADNBackend import ADNBackend
# self.backend = ADNBackend()
# self.path_matpower = "/home/donnotben/Documents/RL4Grid/RL4Grid/data"
# self.case_file = "ieee14_ADN.xml"
# self.backend.load_grid(self.path_matpower, self.case_file)
self.tolvect = 1e-2
self.tol_one = 1e-5
self.game_rules = RulesChecker()
# pdb.set_trace()
self.rewardClass = L2RPNReward
self.reward_helper = self.rewardClass()
self.obsClass = CompleteObservation
self.parameters = Parameters()
# powergrid
self.backend = PandaPowerBackend()
self.path_matpower = PATH_DATA_TEST_PP
self.case_file = "test_case14.json"
# chronics
self.path_chron = os.path.join(PATH_CHRONICS, "chronics_with_hazards")
self.chronics_handler = ChronicsHandler(chronicsClass=GridStateFromFile, path=self.path_chron)
self.tolvect = 1e-2
self.tol_one = 1e-5
self.id_chron_to_back_load = np.array([0, 1, 10, 2, 3, 4, 5, 6, 7, 8, 9])
# force the verbose backend
self.backend.detailed_infos_for_cascading_failures = True
self.names_chronics_to_backend = {"loads": {"2_C-10.61": 'load_1_0', "3_C151.15": 'load_2_1',
"14_C63.6": 'load_13_2', "4_C-9.47": 'load_3_3',
"5_C201.84": 'load_4_4',
"6_C-6.27": 'load_5_5', "9_C130.49": 'load_8_6',
"10_C228.66": 'load_9_7',
"11_C-138.89": 'load_10_8', "12_C-27.88": 'load_11_9',
"13_C-13.33": 'load_12_10'},
"lines": {'1_2_1': '0_1_0', '1_5_2': '0_4_1', '9_10_16': '8_9_2',
'9_14_17': '8_13_3',
'10_11_18': '9_10_4', '12_13_19': '11_12_5', '13_14_20': '12_13_6',
'2_3_3': '1_2_7', '2_4_4': '1_3_8', '2_5_5': '1_4_9',
'3_4_6': '2_3_10',
'4_5_7': '3_4_11', '6_11_11': '5_10_12', '6_12_12': '5_11_13',
'6_13_13': '5_12_14', '4_7_8': '3_6_15', '4_9_9': '3_8_16',
'5_6_10': '4_5_17',
'7_8_14': '6_7_18', '7_9_15': '6_8_19'},
"prods": {"1_G137.1": 'gen_0_4', "3_G36.31": "gen_2_1", "6_G63.29": "gen_5_2",
"2_G-56.47": "gen_1_0", "8_G40.43": "gen_7_3"},
}
# _parameters for the environment
self.env_params = Parameters()
self.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,
names_chronics_to_backend=self.names_chronics_to_backend,
rewardClass=self.rewardClass,
name="test_obs_env1")
def tearDown(self) -> None:
self.env.close()
def test_1_generating_obs_withhazard(self):
# test that helper_obs is abl to generate a valid observation
obs = self.env.get_obs()
assert np.all(obs.time_before_cooldown_line == [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
action = self.env.action_space({})
_ = self.env.step(action)
obs = self.env.get_obs()
assert np.all(obs.time_before_cooldown_line == [0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
_ = self.env.step(action)
obs = self.env.get_obs()
assert np.all(obs.time_before_cooldown_line == [0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
class TestObservationMaintenance(unittest.TestCase):
def setUp(self):
"""
The case file is a representation of the case14 as found in the ieee14 powergrid.
:return:
"""
self.tolvect = 1e-2
self.tol_one = 1e-5
self.game_rules = RulesChecker()
# pdb.set_trace()
self.rewardClass = L2RPNReward
self.reward_helper = self.rewardClass()
self.obsClass = CompleteObservation
self.parameters = Parameters()
# powergrid
self.backend = PandaPowerBackend()
self.path_matpower = PATH_DATA_TEST_PP
self.case_file = "test_case14.json"
# chronics
self.path_chron = os.path.join(PATH_CHRONICS, "chronics_with_maintenance")
self.chronics_handler = ChronicsHandler(chronicsClass=GridStateFromFileWithForecasts, path=self.path_chron)
self.tolvect = 1e-2
self.tol_one = 1e-5
self.id_chron_to_back_load = np.array([0, 1, 10, 2, 3, 4, 5, 6, 7, 8, 9])
# force the verbose backend
self.backend.detailed_infos_for_cascading_failures = True
self.names_chronics_to_backend = {"loads": {"2_C-10.61": 'load_1_0', "3_C151.15": 'load_2_1',
"14_C63.6": 'load_13_2', "4_C-9.47": 'load_3_3',
"5_C201.84": 'load_4_4',
"6_C-6.27": 'load_5_5', "9_C130.49": 'load_8_6',
"10_C228.66": 'load_9_7',
"11_C-138.89": 'load_10_8', "12_C-27.88": 'load_11_9',
"13_C-13.33": 'load_12_10'},
"lines": {'1_2_1': '0_1_0', '1_5_2': '0_4_1', '9_10_16': '8_9_2',
'9_14_17': '8_13_3',
'10_11_18': '9_10_4', '12_13_19': '11_12_5', '13_14_20': '12_13_6',
'2_3_3': '1_2_7', '2_4_4': '1_3_8', '2_5_5': '1_4_9',
'3_4_6': '2_3_10',
'4_5_7': '3_4_11', '6_11_11': '5_10_12', '6_12_12': '5_11_13',
'6_13_13': '5_12_14', '4_7_8': '3_6_15', '4_9_9': '3_8_16',
'5_6_10': '4_5_17',
'7_8_14': '6_7_18', '7_9_15': '6_8_19'},
"prods": {"1_G137.1": 'gen_0_4', "3_G36.31": "gen_2_1", "6_G63.29": "gen_5_2",
"2_G-56.47": "gen_1_0", "8_G40.43": "gen_7_3"},
}
# _parameters for the environment
self.env_params = Parameters()
self.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,
names_chronics_to_backend=self.names_chronics_to_backend,
rewardClass=self.rewardClass,
name="test_obs_env2",
legalActClass=DefaultRules)
def tearDown(self) -> None:
self.env.close()
def test_1_generating_obs_withmaintenance(self):
# test that helper_obs is abl to generate a valid observation
obs = self.env.get_obs()
assert np.all(obs.time_next_maintenance == np.array([-1, -1, -1, -1, 1, -1, 276, -1, -1, -1, -1,
-1, -1, -1, -1, -1, -1, -1, -1, -1]))
assert np.all(obs.duration_next_maintenance == np.array([0, 0, 0, 0, 12, 0, 12, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0]))
action = self.env.action_space({})
_ = self.env.step(action)
obs = self.env.get_obs()
assert np.all(obs.time_next_maintenance == np.array([-1, -1, -1, -1, 0, -1, 275, -1, -1, -1, -1,
-1, -1, -1, -1, -1, -1, -1, -1, -1]))
assert np.all(obs.duration_next_maintenance == np.array([0, 0, 0, 0, 12, 0, 12, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0]))
_ = self.env.step(action)
obs = self.env.get_obs()
assert np.all(obs.time_next_maintenance == np.array([-1, -1, -1, -1, 0, -1, 274, -1, -1, -1, -1,
-1, -1, -1, -1, -1, -1, -1, -1, -1]))
assert np.all(obs.duration_next_maintenance == np.array([0, 0, 0, 0, 11, 0, 12, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0]))
def test_simulate_disco_planned_maintenance(self):
obs = self.env.get_obs()
assert obs.line_status[4]
assert obs.time_next_maintenance[4] == 1
assert obs.duration_next_maintenance[4] == 12
# line will be disconnected next time step
sim_obs, *_ = obs.simulate(self.env.action_space(), time_step=1)
assert not sim_obs.line_status[4]
assert sim_obs.time_next_maintenance[4] == 0
assert sim_obs.duration_next_maintenance[4] == 11
# simulation at current step
sim_obs, *_ = obs.simulate(self.env.action_space(), time_step=0)
assert sim_obs.line_status[4]
assert sim_obs.time_next_maintenance[4] == 1
assert sim_obs.duration_next_maintenance[4] == 12
# line will be disconnected next time step
sim_obs, *_ = obs.simulate(self.env.action_space(), time_step=1)
assert not sim_obs.line_status[4]
assert sim_obs.time_next_maintenance[4] == 0
assert sim_obs.duration_next_maintenance[4] == 11
for ts in range(12):
obs, reward, done, info = self.env.step(self.env.action_space())
# maintenance will be over next time step
assert not obs.line_status[4]
assert obs.time_next_maintenance[4] == 0
assert obs.duration_next_maintenance[4] == 1
# if i don't do anything, it's updated properly
sim_obs, *_ = obs.simulate(self.env.action_space(), time_step=1)
assert not sim_obs.line_status[4]
assert sim_obs.time_next_maintenance[4] == -1
assert sim_obs.duration_next_maintenance[4] == 0
# i have the right to reconnect it (if i simulate in the future)
act = self.env.action_space()
act.line_set_status = [(4, +1)]
sim_obs, reward, done, info = obs.simulate(act, time_step=1)
assert not info["is_illegal"]
assert sim_obs.line_status[4]
assert sim_obs.time_next_maintenance[4] == -1
assert sim_obs.duration_next_maintenance[4] == 0
# i don't have the right to reconnect it if i don't simulate in the future
sim_obs, reward, done, info = obs.simulate(act, time_step=0)
assert info["is_illegal"]
assert not sim_obs.line_status[4]
assert sim_obs.time_next_maintenance[4] == 0
assert sim_obs.duration_next_maintenance[4] == 1
# TODO be careful here, if the rules allows for reconnection, then the
# TODO action becomes legal, and the powerline is reconnected
# TODO => this is because the "_obs_env" do not attempt to force the disconnection
# TODO of maintenance / hazards powerline
if __name__ == "__main__":
unittest.main()