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1、IEEETRANSACTIONSONINDUSTRIALELECTRONICS,VOL.61,NO.1,JANUARY2014397ComparativeStudyofHarmonicandInterharmonicEstimationMethodsforStationaryandTime-VaryingSignalsCheng-IChen,Member,IEEE,andYeong-ChinChenAbstractFrequencyisoneofthemostimportantfactorsforThesespe
2、ctralestimationtechniquescanberoughlydividedpowersystemharmonicandinterharmonicestimation.Accurateintobatchsignalprocessingandrecursive(adaptive)methods.spectralanalysisreliesmuchonthecorrectidentificationoffre-Ingeneral,therecursivemethodistheparametrictechni
3、que,quenciesofthemeasuredsignals.Inthispaper,severalcommonlywhichassumesmoreknowledgeaboutthespectrumoftheusedmethodsforpowersystemstationaryandtime-varyinghar-monicandinterharmonicestimationarereviewedandcomparedanalyzedsignal[3].Hence,itisnecessaryforthepar
4、ametricaccordingtotheviewpointofthefrequencyidentification.Itismethodstochooseanappropriatemodel,toestimatethepa-expectedtoprovidesuitableguidelinesforthefuturestudies.rametersofthemodel,andthentosubstitutetheseestimatedIndexTermsBatchsignalprocessingmethods,f
5、requencyiden-valuesintothespectralexpressionsofthesignal.Toprovideatification,recursivemethods,time-varyingharmonicsandinter-guidelinetoselecttheadequatemethodforagivenapplication,harmonics.thecomparisonsareperformedaccordingtotheviewpointofthefrequencyidentifi
6、cationinthispaper.I.INTRODUCTIONTheorganizationofthispaperisasfollows.InSectionII,ARMONICanalysisisalwaysofgreatconcernfortheseveralcommonlyusedmethodsintheliteratureforthepowerHcontrolandtheprotectionofthepowersystems.Sincesystemharmonicandinterharmonicestim
7、ationarereviewed.theharmonicsarerelativelystationarycomparedwithotherTomonitorthetime-varyingcharacteristicsoftheanalyzedsig-powerqualitydisturbances,theanalyzedsignalsareusuallynals,somemodificationsoftheanalysisstructuresinSectionIItransformedfromthetimedoma
8、intothefrequencydomainareinvestigatedinSectionIII.Performancediscussionsaccord-bymeansofthediscreteFouriertransform,whichcanbeingtothefrequencyidentificationareshowninSectionIVtoefficiently
