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Implementation of search tree remedial action optimisation with modular approach
/*
* Copyright (c) 2021, 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.linearoptimisation.algorithms.fillers;
import com.powsybl.openrao.commons.OpenRaoException;
import com.powsybl.openrao.data.crac.api.State;
import com.powsybl.openrao.data.crac.api.rangeaction.RangeAction;
import com.powsybl.openrao.searchtreerao.linearoptimisation.algorithms.linearproblem.OpenRaoMPConstraint;
import com.powsybl.openrao.searchtreerao.linearoptimisation.algorithms.linearproblem.LinearProblem;
import com.powsybl.openrao.searchtreerao.result.api.FlowResult;
import com.powsybl.openrao.searchtreerao.result.api.RangeActionActivationResult;
import com.powsybl.openrao.searchtreerao.result.api.SensitivityResult;
import java.util.Map;
import java.util.Optional;
import java.util.Set;
/**
* @author Peter Mitri {@literal }
* @author Baptiste Seguinot {@literal }
*/
public class ContinuousRangeActionGroupFiller implements ProblemFiller {
private final Map>> rangeActionsPerState;
public ContinuousRangeActionGroupFiller(Map>> rangeActionsPerState) {
this.rangeActionsPerState = rangeActionsPerState;
}
@Override
public void fill(LinearProblem linearProblem, FlowResult flowResult, SensitivityResult sensitivityResult, RangeActionActivationResult rangeActionActivationResult) {
buildRangeActionGroupConstraint(linearProblem);
}
@Override
public void updateBetweenMipIteration(LinearProblem linearProblem, RangeActionActivationResult rangeActionActivationResult) {
// nothing to do
}
private void buildRangeActionGroupConstraint(LinearProblem linearProblem) {
rangeActionsPerState.forEach((state, rangeActions) -> rangeActions.forEach(ra -> {
Optional optGroupId = ra.getGroupId();
// if range action belongs to a group
if (optGroupId.isPresent()) {
String groupId = optGroupId.get();
// For the first time the group ID is encountered a common variable for set point has to be created
try {
linearProblem.getRangeActionGroupSetpointVariable(groupId, state);
} catch (OpenRaoException ignored) {
linearProblem.addRangeActionGroupSetpointVariable(-linearProblem.infinity(), linearProblem.infinity(), groupId, state);
}
addRangeActionGroupConstraint(linearProblem, ra, groupId, state);
}
}));
}
private void addRangeActionGroupConstraint(LinearProblem linearProblem, RangeAction> rangeAction, String groupId, State state) {
OpenRaoMPConstraint groupSetPointConstraint = linearProblem.addRangeActionGroupSetpointConstraint(0, 0, rangeAction, state);
groupSetPointConstraint.setCoefficient(linearProblem.getRangeActionSetpointVariable(rangeAction, state), 1);
groupSetPointConstraint.setCoefficient(linearProblem.getRangeActionGroupSetpointVariable(groupId, state), -1);
}
}
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