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基于PMU有限节点信息的电网故障定位方法.docx

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基于PMU有限节点信息的电网故障定位方法 Title:FaultLocalizationinPowerGridBasedonLimitedNodeInformationfromPMUs Abstract: WiththeadvancementofPhasorMeasurementUnits(PMUs),thereal-timemonitoringandanalysisofpowergriddynamicshavebecomecrucialformaintaininggridstability.Powergridfaultsposesignificantchallengesintermsofidentificationandlocalizationduetotheircomplexnatureandpotentialcascadingeffects.ThispaperpresentsafaultlocalizationmethodbasedonlimitednodeinformationobtainedfromPMUs.TheproposedapproachcombinesstatisticalandmachinelearningtechniquestoidentifythefaultednodeandestimateitsdistancefromthePMUnodes.Theeffectivenessofthemethodisevaluatedonasimulatedpowergridmodel,andtheresultsdemonstrateitsaccuracyandefficiencyinfaultlocalization. 1.Introduction 1.1Background 1.2Motivation 1.3Objectives 1.4OrganizationofthePaper 2.PowerGridFaultsandLocalization 2.1OverviewofPowerGridFaults 2.2ImportanceofAccurateFaultLocalization 2.3ChallengesinFaultLocalization 3.PhasorMeasurementUnits(PMUs) 3.1IntroductiontoPMUs 3.2PMUMeasurementsandDataCharacteristics 4.FaultLocalizationMethodology 4.1DataPreprocessingandFeatureExtraction 4.2StatisticalAnalysisforFaultIdentification 4.3MachineLearning-BasedDistanceEstimation 4.3.1SelectionandTrainingofMachineLearningModels 4.3.2FeatureSelectionandEngineering 4.3.3DistanceEstimationAlgorithm 5.ExperimentalSetupandResults 5.1SimulationEnvironment 5.2DataCollectionandPreprocessing 5.3FaultLocalizationPerformanceEvaluation 5.3.1FaultIdentificationAccuracy 5.3.2DistanceEstimationAccuracy 5.3.3ComputationalEfficiencyAnalysis 6.Discussion 6.1ComparisonwithExistingFaultLocalizationMethods 6.2LimitationsandFutureResearchDirections 7.Conclusion 7.1SummaryofContributions 7.2KeyFindings 7.3PracticalImplications 7.4ClosingRemarks References ThepaperaimstoproposeafaultlocalizationmethodforpowergridsbasedonlimitednodeinformationobtainedfromPMUs.Theintroductionsectionprovidesthebackground,motivation,objectives,andorganizationofthepaper.Thesubsequentsectionprovidesanoverviewo