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Implementation of search tree remedial action optimisation with modular approach
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/*
* Copyright (c) 2020, 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.objectivefunctionevaluator;
import com.powsybl.openrao.commons.logs.OpenRaoLoggerProvider;
import com.powsybl.openrao.commons.Unit;
import com.powsybl.openrao.data.crac.api.State;
import com.powsybl.openrao.data.crac.api.cnec.FlowCnec;
import com.powsybl.iidm.network.TwoSides;
import com.powsybl.openrao.data.crac.loopflowextension.LoopFlowThreshold;
import com.powsybl.openrao.raoapi.parameters.extensions.LoopFlowParametersExtension;
import com.powsybl.openrao.searchtreerao.commons.costevaluatorresult.CostEvaluatorResult;
import com.powsybl.openrao.searchtreerao.commons.costevaluatorresult.SumCostEvaluatorResult;
import com.powsybl.openrao.searchtreerao.result.api.FlowResult;
import com.powsybl.openrao.searchtreerao.result.api.RemedialActionActivationResult;
import java.util.*;
import java.util.function.Function;
import java.util.stream.Collectors;
import static com.powsybl.openrao.searchtreerao.commons.objectivefunctionevaluator.CostEvaluatorUtils.groupFlowCnecsPerState;
import static com.powsybl.openrao.searchtreerao.commons.objectivefunctionevaluator.CostEvaluatorUtils.sortFlowCnecsByDecreasingCost;
/**
* @author Baptiste Seguinot {@literal }
* @author Thomas Bouquet {@literal }
*/
public class LoopFlowViolationCostEvaluator implements CostEvaluator {
private final Set loopflowCnecs;
private final FlowResult initialLoopFlowResult;
private final double loopFlowViolationCost;
private final double loopFlowAcceptableAugmentation;
public LoopFlowViolationCostEvaluator(Set loopflowCnecs,
FlowResult initialLoopFlowResult,
LoopFlowParametersExtension loopFlowParameters) {
this.loopflowCnecs = loopflowCnecs;
this.initialLoopFlowResult = initialLoopFlowResult;
this.loopFlowViolationCost = loopFlowParameters.getViolationCost();
this.loopFlowAcceptableAugmentation = loopFlowParameters.getAcceptableIncrease();
}
@Override
public String getName() {
return "loop-flow-cost";
}
@Override
public CostEvaluatorResult evaluate(FlowResult flowResult, RemedialActionActivationResult remedialActionActivationResult) {
Map excessPerLoopFlowCnec = loopflowCnecs.stream()
.collect(Collectors.toMap(Function.identity(), loopFlowCnec -> getLoopFlowExcess(flowResult, loopFlowCnec)))
.entrySet()
.stream()
.filter(entry -> entry.getValue() > 0)
.collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue));
Map> flowCnecsPerState = groupFlowCnecsPerState(excessPerLoopFlowCnec.keySet());
Map costPerState = flowCnecsPerState.keySet().stream().collect(Collectors.toMap(
Function.identity(),
state -> loopFlowViolationCost * flowCnecsPerState.get(state).stream()
.mapToDouble(excessPerLoopFlowCnec::get)
.sum()));
if (costPerState.values().stream().anyMatch(loopFlowCost -> loopFlowCost > 0)) {
// will be logged even if the contingency is filtered out at some point
OpenRaoLoggerProvider.TECHNICAL_LOGS.info("Some loopflow constraints are not respected.");
}
List sortedLoopFlowCnecs = sortFlowCnecsByDecreasingCost(excessPerLoopFlowCnec);
return new SumCostEvaluatorResult(costPerState, sortedLoopFlowCnecs);
}
double getLoopFlowExcess(FlowResult flowResult, FlowCnec cnec) {
return cnec.getMonitoredSides()
.stream().map(side -> Math.max(0, Math.abs(flowResult.getLoopFlow(cnec, side, Unit.MEGAWATT)) - getLoopFlowUpperBound(cnec, side)))
.max(Double::compareTo).orElse(0.0);
}
private double getLoopFlowUpperBound(FlowCnec cnec, TwoSides side) {
double loopFlowThreshold = cnec.getExtension(LoopFlowThreshold.class).getThresholdWithReliabilityMargin(Unit.MEGAWATT);
double initialLoopFlow = initialLoopFlowResult.getLoopFlow(cnec, side, Unit.MEGAWATT);
return Math.max(0.0, Math.max(loopFlowThreshold, Math.abs(initialLoopFlow) + loopFlowAcceptableAugmentation));
}
}
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