com.powsybl.openrao.searchtreerao.result.impl.AutomatonPerimeterResultImpl Maven / Gradle / Ivy
/*
* 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.result.impl;
import com.powsybl.openrao.commons.OpenRaoException;
import com.powsybl.openrao.commons.Unit;
import com.powsybl.openrao.data.crac.api.Instant;
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.api.networkaction.NetworkAction;
import com.powsybl.openrao.data.crac.api.rangeaction.PstRangeAction;
import com.powsybl.openrao.data.crac.api.rangeaction.RangeAction;
import com.powsybl.openrao.data.raoresult.api.ComputationStatus;
import com.powsybl.openrao.searchtreerao.result.api.*;
import com.powsybl.sensitivity.SensitivityVariableSet;
import java.util.*;
/**
* Represents the optimization result of automatons
* Since optimizing automatons is only a simulation of RAs, we only need lists of activated RAs and a sensitivity result
*
* @author Peter Mitri {@literal }
*/
public class AutomatonPerimeterResultImpl implements OptimizationResult {
private final PrePerimeterResult preAutomatonSensitivityAnalysisOutput;
private final PrePerimeterResult postAutomatonSensitivityAnalysisOutput;
private final Set forcedNetworkActions;
private final Set selectedNetworkActions;
private final Set> activatedRangeActions;
private final Map, Double> rangeActionsWithSetpoint;
private final State optimizedState;
public AutomatonPerimeterResultImpl(PrePerimeterResult preAutomatonSensitivityAnalysisOutput, PrePerimeterResult postAutomatonSensitivityAnalysisOutput, Set forcedNetworkActions, Set selectedNetworkActions, Set> activatedRangeActions, Map, Double> rangeActionsWithSetpoint, State optimizedState) {
this.preAutomatonSensitivityAnalysisOutput = preAutomatonSensitivityAnalysisOutput;
this.postAutomatonSensitivityAnalysisOutput = postAutomatonSensitivityAnalysisOutput;
this.forcedNetworkActions = forcedNetworkActions;
this.selectedNetworkActions = selectedNetworkActions;
this.activatedRangeActions = activatedRangeActions;
this.rangeActionsWithSetpoint = rangeActionsWithSetpoint;
this.optimizedState = optimizedState;
}
public PrePerimeterResult getPostAutomatonSensitivityAnalysisOutput() {
return postAutomatonSensitivityAnalysisOutput;
}
@Override
public double getFlow(FlowCnec flowCnec, TwoSides side, Unit unit) {
return postAutomatonSensitivityAnalysisOutput.getFlow(flowCnec, side, unit);
}
@Override
public double getFlow(FlowCnec flowCnec, TwoSides side, Unit unit, Instant instant) {
return postAutomatonSensitivityAnalysisOutput.getFlow(flowCnec, side, unit, instant);
}
@Override
public double getMargin(FlowCnec flowCnec, Unit unit) {
return postAutomatonSensitivityAnalysisOutput.getMargin(flowCnec, unit);
}
@Override
public double getCommercialFlow(FlowCnec flowCnec, TwoSides side, Unit unit) {
return postAutomatonSensitivityAnalysisOutput.getCommercialFlow(flowCnec, side, unit);
}
@Override
public double getPtdfZonalSum(FlowCnec flowCnec, TwoSides side) {
return postAutomatonSensitivityAnalysisOutput.getPtdfZonalSum(flowCnec, side);
}
@Override
public Map> getPtdfZonalSums() {
return postAutomatonSensitivityAnalysisOutput.getPtdfZonalSums();
}
@Override
public boolean isActivated(NetworkAction networkAction) {
return forcedNetworkActions.contains(networkAction) || selectedNetworkActions.contains(networkAction);
}
@Override
public Set getActivatedNetworkActions() {
Set networkActions = new HashSet<>();
networkActions.addAll(forcedNetworkActions);
networkActions.addAll(selectedNetworkActions);
return networkActions;
}
public Set getForcedNetworkActions() {
return new HashSet<>(forcedNetworkActions);
}
public Set getSelectedNetworkActions() {
return new HashSet<>(selectedNetworkActions);
}
@Override
public double getFunctionalCost() {
return postAutomatonSensitivityAnalysisOutput.getFunctionalCost();
}
@Override
public List getMostLimitingElements(int number) {
return postAutomatonSensitivityAnalysisOutput.getMostLimitingElements(number);
}
@Override
public double getVirtualCost() {
return postAutomatonSensitivityAnalysisOutput.getVirtualCost();
}
@Override
public Set getVirtualCostNames() {
return postAutomatonSensitivityAnalysisOutput.getVirtualCostNames();
}
@Override
public double getVirtualCost(String virtualCostName) {
return postAutomatonSensitivityAnalysisOutput.getVirtualCost(virtualCostName);
}
@Override
public List getCostlyElements(String virtualCostName, int number) {
return postAutomatonSensitivityAnalysisOutput.getCostlyElements(virtualCostName, number);
}
@Override
public void excludeContingencies(Set contingenciesToExclude) {
postAutomatonSensitivityAnalysisOutput.excludeContingencies(contingenciesToExclude);
}
@Override
public Set> getRangeActions() {
return rangeActionsWithSetpoint.keySet();
}
@Override
public Set> getActivatedRangeActions(State state) {
checkState(state);
return activatedRangeActions;
}
@Override
public double getOptimizedSetpoint(RangeAction> rangeAction, State state) {
checkState(state);
return rangeActionsWithSetpoint.get(rangeAction);
}
@Override
public Map, Double> getOptimizedSetpointsOnState(State state) {
checkState(state);
return rangeActionsWithSetpoint;
}
@Override
public double getSetPointVariation(RangeAction> rangeAction, State state) {
return preAutomatonSensitivityAnalysisOutput == null ? 0.0 : getOptimizedSetpoint(rangeAction, state) - preAutomatonSensitivityAnalysisOutput.getSetpoint(rangeAction);
}
@Override
public int getOptimizedTap(PstRangeAction pstRangeAction, State state) {
checkState(state);
return pstRangeAction.convertAngleToTap(rangeActionsWithSetpoint.get(pstRangeAction));
}
@Override
public Map getOptimizedTapsOnState(State state) {
checkState(state);
Map pstRangeActionOptimizedTaps = new HashMap<>();
activatedRangeActions.stream().filter(PstRangeAction.class::isInstance).map(PstRangeAction.class::cast)
.forEach(pstRangeAction -> pstRangeActionOptimizedTaps.put(pstRangeAction, getOptimizedTap(pstRangeAction, state)));
return pstRangeActionOptimizedTaps;
}
@Override
public int getTapVariation(PstRangeAction pstRangeAction, State state) {
return preAutomatonSensitivityAnalysisOutput == null ? 0 : getOptimizedTap(pstRangeAction, state) - preAutomatonSensitivityAnalysisOutput.getTap(pstRangeAction);
}
@Override
public ComputationStatus getSensitivityStatus() {
return postAutomatonSensitivityAnalysisOutput.getSensitivityStatus(optimizedState);
}
@Override
public ComputationStatus getSensitivityStatus(State state) {
return postAutomatonSensitivityAnalysisOutput.getSensitivityStatus(state);
}
@Override
public Set getContingencies() {
return postAutomatonSensitivityAnalysisOutput.getContingencies();
}
@Override
public double getSensitivityValue(FlowCnec flowCnec, TwoSides side, RangeAction> rangeAction, Unit unit) {
return postAutomatonSensitivityAnalysisOutput.getSensitivityValue(flowCnec, side, rangeAction, unit);
}
@Override
public double getSensitivityValue(FlowCnec flowCnec, TwoSides side, SensitivityVariableSet linearGlsk, Unit unit) {
return postAutomatonSensitivityAnalysisOutput.getSensitivityValue(flowCnec, side, linearGlsk, unit);
}
private void checkState(State state) {
if (!state.equals(optimizedState)) {
throw new OpenRaoException("State should be " + optimizedState.getId() + " but was " + state.getId());
}
}
}
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