小波分析在電能質量擾動信號去噪與數(shù)據(jù)壓縮中的應用.pdf

1、學校代號：10532學號：S03093003密級：湖南大學碩士學位論文小波分析在電能質量擾動信號去噪與數(shù)據(jù)壓縮中的應用堂焦空運厶蕉芻l塾接攫昱蛭蛙名廈驅疊i囂紅熬援接蠡里焦；皇五皇信雖薹捏堂瞳童些名整!皇左丕箕叢基自動絲詮窯握童目期!!Q豎生!且2Q日詮室鳘整目翦12QQ生旦!Q目簽整重員盒圭盎：圃直壓熬援AbstractTherearevariouskindsofdisturbancesinpowersystem，whichimpac

2、tpowerqualityandsafeoperationofthesystemInordertoanalyzeandreducethedisturbancesphenomenon，alargenumberofpowerqualitymonitorsareapplied。Generallyspeaking，thesamplingfrequencyofthemonitormaybeveryhigh，whichwillbringalarge

3、datastorageandcommunicationcostSimultaneously，samplingdataareusuallyoverlappedbynoisewhichwillimpactontheanalysisresultsForraisingtheSNRofthesignalandreducingdatastorage，thedenoisinganddatacompressionmethodsofpowerqualit

4、ydisturbancesignalarestudiedinthispaperAmodelofan11Okvthree—phasenetworkisestablishedbyMatlab／simulinkSPSfirstly，andthedisturbanceofharmonicinpowersystemissimulatedbyatype—sslelectriclocomotiveinthismodel。Secondly，kindso

5、fshortfaultsareanalyzed，thestableandtransientvoltagewavesareobtainedThen，adenoisingmethodispresented，whichisbasedonwaveletpackettransformandhasbetterresolutionintimeandfrequencydomain，Thedenoisingresultsofdifferentthresh

6、oldanddifferentthresholdfunctionareanalyzedtoverifythefeasibilityandeffectivenessofthemethodFurthermore，threedatacompressionmethodsareintroducedandcomparedinthepaper，whicharebasedonFouriertransform，WavelettransformandWav

7、eletpackettransformAnovelsynthesisalgorithmforcomplexelectricsignal，basedonFouriertransformandWaveletpackettransformisproposedtocompressthepowerqualitydisturbancedatainthispaperItfirstclassifiespowerqualitydisturbancesin

8、tostableoneandtransientonebywavelet’Smultiresolutionanalysis，andthencompressesthestableandtransientdisturbancesignalsbyFouriertransformandorthogonalwaveletpackettransform，respectivelyThesimulationcompressionresultofthree

9、methods，whicharethenovelsynthesisalgorithm，themethodsbasedonWavelettransformandWaveletpackettransform，areperformedtoverifytheeffectivenessofthenovelsynthesisalgorithmKeyWords：PowerQualityDisturbance；De—noising；DataCompre