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neurips_2020.py
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neurips_2020.py
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# Copyright (c) 2019-2022, 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.
from grid2op.Action import PlayableAction
from grid2op.Observation import CompleteObservation
class ActionNeurips2020(PlayableAction):
authorized_keys = {
"set_line_status",
"change_line_status",
"set_bus",
"change_bus",
"redispatch",
}
attr_list_vect = ['_set_line_status',
'_set_topo_vect',
'_change_bus_vect',
'_switch_line_status',
'_redispatch']
attr_list_set = set(attr_list_vect)
pass
class ObservationNeurips2020(CompleteObservation):
attr_list_vect = ['year',
'month',
'day',
'hour_of_day',
'minute_of_hour',
'day_of_week',
'gen_p',
'gen_q',
'gen_v',
'load_p',
'load_q',
'load_v',
'p_or',
'q_or',
'v_or',
'a_or',
'p_ex',
'q_ex',
'v_ex',
'a_ex',
'rho',
'line_status',
'timestep_overflow',
'topo_vect',
'time_before_cooldown_line',
'time_before_cooldown_sub',
'time_next_maintenance',
'duration_next_maintenance',
'target_dispatch',
'actual_dispatch']
attr_list_json = [
"storage_charge",
"storage_power_target",
"storage_power",
"gen_p_before_curtail",
"curtailment",
"curtailment_limit",
"curtailment_limit_effective",
"_shunt_p",
"_shunt_q",
"_shunt_v",
"_shunt_bus",
"current_step",
"max_step",
"delta_time",
"gen_margin_up",
"gen_margin_down",
"_thermal_limit",
"support_theta",
"theta_or",
"theta_ex",
"load_theta",
"gen_theta",
"storage_theta",
]
attr_list_set = set(attr_list_vect)