电力系统自适应谐波检测方法分析-(6037)

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1、万方数据西南交通大学硕士研究生学位论文第

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3、页AbstractHarmonicpollutionproblembecomesalong-termprobleminpowersystem．Aswithprogressoftechnology,thepowersystemisfullofavarietyofnon—linearloadsinmostcases．Andtheharmonicspollutioncandeteriorateowingtothenewconceptssuchassmartmicro．grid．Thus，thepowerqualityanalysisha

4、stoconsidertheimpactofpowersystemharmonics．Byusingthemodempowerelectronicstechnology,digitalsignalprocessingtechnologyandadvancedcontroltheory,ActivePowerFilter(APF)asawidelyusedmethodsuppressestheharmonicpollution．ThemainfunctionsofAPFincludeharmonicsuppressionandreactivepowercompensation

5、．However,theperformanceofAPFlargelyreliesonfastandaccuratedetectionoftheharmoniccurrentcomponents．Tosolvetheseproblems，thefollowingworkhasbeendoneinthisdissertation．Firstly,thisdissertationbrieflyintroducessomeconceptsofharmonic，theimpactofharmonicsonpowersystemandsomecontrolmeasures．Moreo

6、ver,thedissertationindicatesthattheharmoniccurrentdetectionisimportanttoanalysisharmonic，andsummarizesthepresentsituationofharrnoniccurrentdetectionmethod．Secondly,thedissertationdescribesthreecommonadaptivealgorithms，namely,leastmeansquare(LMS)algorithm，recursiveleastsquare(RLS)algorithma

7、ndkalmanflltering(KF)algorithm，andprovidesasimpleanalysisoftheirfeatures．Besides，itelaboratedtheprincipleandstructureoftheadaptiveharmoniccurrentdetectionmethodwhichisbasedonadaptivenoisecancellationtheory．Alltheadaptivealgorithmsareusedinthemethod，comparisonwitheachotherbythesteady—statee

8、rror,convergencespeedandcomputingcomplexity．Then，thisdissertationanalyzesandsummarizestheadvantagesandshortcomingsoftheharmoniccurrentdetectionmethodoftraditionalLMSalgorithmandvariablestepsizeLMSalgorithm．AnewvariablestepsizeLMSalgorithmforharmoniccurrentdetectionmethodisproposed．Thismeth

9、odusesthetimecoherentaveragetoweaktheinfluenceofharmoniccurrentonthestepsizeupdating，andbasedonaWitchofAgnesifunctionchangetheparametersofthemomentumintheweightequation。Duringtheinitialperiodormutationof万方数据西南交通大学硕士研究生学位论文第

10、lI页thesystem，themomentumhasagreateri