ControlVoltageFromFile.py

# 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.

from grid2op.VoltageControler.BaseVoltageController import BaseVoltageController


class ControlVoltageFromFile(BaseVoltageController):
    """
    This class is the most basic controler for the voltages.

    Basically, what it does is read the voltages from the
    chronics.

    If the voltages are not on the chronics (missing files), it will not change the voltage setpoint at all.
    """
    def __init__(self, gridobj, controler_backend):
        """

        Parameters
        ----------
        gridobj: :class:`grid2op.Space.GridObjects`
            Structure of the powergrid

        controler_backend: :class:`grid2op.Backend.Backend`
            An instanciated backend to perform some computation on a powergrid, before taking some actions.

        """
        BaseVoltageController.__init__(self, gridobj=gridobj, controler_backend=controler_backend)

    def fix_voltage(self, observation, agent_action, env_action, prod_v_chronics):
        """
        This method must be overloaded to change the behaviour of the generator setpoint for time t+1.

        This simple class will:

        - do nothing if the vector `prod_v_chronics` is None
        - set the generator setpoint to the value in prod_v_chronics

        Basically, this class is pretty fast, but does nothing interesting, beside looking at the data in files.

        More general class can use, to adapt the voltage setpoint:

        - `observation` the observation (receive by the agent) at time t
        - `agent_action` the action of the agent at time t
        - `env_action` the modification of the environment at time t, that will be observed by the agent at time
          t+1
        - `prod_v_chronics` the new setpoint of the generators present in the data (if any, this can be None)

        To help this class, a :class:`grid2op.Backend.Backend` is available and can be used to perform simulation of
        potential impact of voltages setpoints.

        Parameters
        ----------
        observation: :class:`grid2op.Observation.Observation`
            The last observation (at time t)

        agent_action: :class:`grid2op.Action.Action`
            The action that the agent took

        env_action: :class:`grid2op.Action.Action`
            The modification that the environment will take.

        prod_v_chronics: ``numpy.ndarray``
            The next voltage setpoint present in the data (if any) or ``None`` if not.

        Returns
        -------
        res: :class:`grid2op.Action.Action`
            The new setpoint, in this case depending only on the prod_v_chronics.

        """
        # TODO add a "reward" and "done" for RL voltage controler
        if prod_v_chronics is not None:
            res = self.action_space({"injection": {"prod_v": prod_v_chronics}})
        else:
            res = self.action_space()
        return res