一种低频振荡主要振荡模式识别方法-豆柴文库

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一种低频振荡主要振荡模式识别方法
Title:AReviewonLow-FrequencyOscillationModeIdentificationMethods
Abstract:
Low-frequencyoscillations(LFOs)areacommonphenomenoninpowersystemsthatcanleadtoinstabilityandevenblackouts.Accurateidentificationofthemainoscillationmodesiscrucialforeffectivecontrolandmitigationoftheseoscillations.Thispaperpresentsacomprehensivereviewofvariousmethodsforidentifyingthemainoscillationmodesinlow-frequencyoscillations.
1.Introduction
Low-frequencyoscillationsarecharacterizedbytheirlongperiodandlargeamplitude,typicallyrangingfrom0.1to2Hz.Theseoscillationsareprimarilycausedbyinteractionsbetweentheelectromechanicaldynamicsofgeneratorsandthepowersystemnetwork.Identifyingthemainoscillationmodesisessentialforpowersystemstabilityassessmentandcontrol.ThispaperaimstoprovideanoverviewofthedifferentmethodsusedforLFOmodeidentification.
2.FrequencyDomainMethods
Frequencydomainmethods,suchasPowerSpectralDensity(PSD)analysisandPronyanalysis,arecommonlyusedforLFOmodeidentification.PSDanalysishelpsinidentifyingthedominantfrequenciesoftheoscillations,whilePronyanalysisprovidesestimatesofthemodalparameterslikefrequency,damping,andamplitude.Thesemethodsarebasedontheassumptionthattheoscillationscanberepresentedbyasumofsinusoidalcomponents.
3.Time-DomainMethods
Time-domainmethods,suchasEigensystemRealizationAlgorithm(ERA)andsubspace-basedmethods,areanotherclassoftechniquesforLFOmodeidentification.ERAestimatesthesystemmatricesbyfittingastate-spacemodeltothemeasuredresponsedata.Subspace-basedmethodsusesubspacetechniques,likeSingularValueDecomposition(SVD),toestimatetheoscillationmodesfromtheinput-outputdata.
4.Wavelet-basedMethods
Wavelet-basedmethodshavegainedpopularityinrecentyearsduetotheirabilitytoanalyzesignalsinbothfrequencyandtimedomainssimultaneously.WaveletTransform(WT)andContinuousWaveletTransform(CWT)arecommonlyemployedforLFOmodeidentification.Thesemethodsprovidetime-frequencyrepresentationsoftheoscillations,makingthemsuitableforidentifyingnon-stationarymodes.
5.ArtificialInte