com.powsybl.openrao.searchtreerao.commons.optimizationperimeters.CurativeOptimizationPerimeter Maven / Gradle / Ivy

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Implementation of search tree remedial action optimisation with modular approach
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/*
 * Copyright (c) 2022, RTE (http://www.rte-france.com)
 * This Source Code Form is subject to the terms of the Mozilla Public
 * License, v. 2.0. If a copy of the MPL was not distributed with this
 * file, You can obtain one at http://mozilla.org/MPL/2.0/.
 */
package com.powsybl.openrao.searchtreerao.commons.optimizationperimeters;

import com.powsybl.openrao.commons.OpenRaoException;
import com.powsybl.openrao.data.crac.api.Crac;
import com.powsybl.openrao.data.crac.api.State;
import com.powsybl.openrao.data.crac.api.cnec.FlowCnec;
import com.powsybl.openrao.data.crac.api.networkaction.NetworkAction;
import com.powsybl.openrao.data.crac.api.rangeaction.RangeAction;
import com.powsybl.openrao.data.raoresult.api.ComputationStatus;
import com.powsybl.openrao.raoapi.parameters.RaoParameters;
import com.powsybl.openrao.searchtreerao.commons.RaoUtil;
import com.powsybl.openrao.searchtreerao.result.api.PrePerimeterResult;
import com.powsybl.iidm.network.Network;

import java.util.Map;
import java.util.Set;
import java.util.stream.Collectors;

/**
 * @author Baptiste Seguinot {@literal }
 */
public class CurativeOptimizationPerimeter extends AbstractOptimizationPerimeter {

    public CurativeOptimizationPerimeter(State curativeState,
                                         Set flowCnecs,
                                         Set looopFlowCnecs,
                                         Set availableNetworkActions,
                                         Set> availableRangeActions) {

        super(curativeState, flowCnecs, looopFlowCnecs, availableNetworkActions, Map.of(curativeState, availableRangeActions));

        if (!curativeState.getInstant().isCurative() && !curativeState.getInstant().isOutage()) {
            throw new OpenRaoException("a CurativeOptimizationContext must be based on a curative state");
        }
    }

    public static CurativeOptimizationPerimeter build(State curativeState, Crac crac, Network network, RaoParameters raoParameters, PrePerimeterResult prePerimeterResult) {

        Set flowCnecs = crac.getFlowCnecs(curativeState);
        Set loopFlowCnecs = AbstractOptimizationPerimeter.getLoopFlowCnecs(flowCnecs, raoParameters, network);

        Set availableNetworkActions = crac.getNetworkActions().stream()
            .filter(ra -> RaoUtil.isRemedialActionAvailable(ra, curativeState, prePerimeterResult, flowCnecs, network, raoParameters))
            .collect(Collectors.toSet());

        Set> availableRangeActions = crac.getRangeActions().stream()
            .filter(ra -> RaoUtil.isRemedialActionAvailable(ra, curativeState, prePerimeterResult, flowCnecs, network, raoParameters))
            .filter(ra -> AbstractOptimizationPerimeter.doesPrePerimeterSetpointRespectRange(ra, prePerimeterResult))
            .collect(Collectors.toSet());
        removeAlignedRangeActionsWithDifferentInitialSetpoints(availableRangeActions, prePerimeterResult);

        return new CurativeOptimizationPerimeter(curativeState,
            flowCnecs,
            loopFlowCnecs,
            availableNetworkActions,
            availableRangeActions);
    }

    public static CurativeOptimizationPerimeter buildForStates(State curativeState, Set allMonitoredStates, Crac crac, Network network, RaoParameters raoParameters, PrePerimeterResult prePerimeterResult) {
        Set> rangeActions = crac.getPotentiallyAvailableRangeActions(curativeState);

        Set filteredStates = allMonitoredStates.stream()
            .filter(state -> !prePerimeterResult.getSensitivityStatus(state).equals(ComputationStatus.FAILURE))
            .collect(Collectors.toSet());

        Set flowCnecs = crac.getFlowCnecs().stream()
            .filter(flowCnec -> filteredStates.contains(flowCnec.getState()))
            .collect(Collectors.toSet());

        Set loopFlowCnecs = AbstractOptimizationPerimeter.getLoopFlowCnecs(flowCnecs, raoParameters, network);

        Set availableNetworkActions = crac.getNetworkActions().stream()
            .filter(ra -> RaoUtil.isRemedialActionAvailable(ra, curativeState, prePerimeterResult, flowCnecs, network, raoParameters))
            .collect(Collectors.toSet());

        Set> availableRangeActions = rangeActions.stream()
            .filter(ra -> RaoUtil.isRemedialActionAvailable(ra, curativeState, prePerimeterResult, flowCnecs, network, raoParameters))
            .filter(ra -> AbstractOptimizationPerimeter.doesPrePerimeterSetpointRespectRange(ra, prePerimeterResult))
            .collect(Collectors.toSet());
        removeAlignedRangeActionsWithDifferentInitialSetpoints(availableRangeActions, prePerimeterResult);

        return new CurativeOptimizationPerimeter(
            curativeState,
            flowCnecs,
            loopFlowCnecs,
            availableNetworkActions,
            availableRangeActions);
    }
}