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1、AutomatedLoadCurveDataCleansinginPowerSystemsbyJiyiChenB.Sc.PekingUniversity,China,2008ATHESISSUBMITTEDINPARTIALFULFILLMENTOFTHEREQUIREMENTSFORTHEDEGREEOFMASTEROFSCIENCEintheSchoolofComputingScience©JiyiChen2010SIMONFRASERUNIVERSITYSpring2010Allrightsreserved.However,inaccordancewit
2、htheCopyrightActofCanada,thisworkmaybereproduced,withoutauthorization,undertheconditionsforFairDealing.Therefore,limitedreproductionofthisworkforthepurposesofprivatestudy,research,criticism,reviewandnewsreportingislikelytobeinaccordancewiththelaw,particularlyifcitedappropriately.APP
3、ROVALName:JiyiChenDegree:MasterofScienceTitleofThesis:AutomatedLoadCurveDataCleansinginPowerSystemsExaminingCommittee:Chair:Dr.QianpingGu___________________________________________Dr.KeWangSeniorSupervisor___________________________________________Dr.JiguoCaoCo-Supervisor___________
4、________________________________Dr.FredPopowichSFUExaminerDateApproved:___________________________________________iiAbstractLoadcurvedatareferstopowerconsumptionrecordedbymetersatcertaintimeintervalsatdeliverypointsorenduserpoints,andcontainsvitalinformationforday-to-dayoperations,s
5、ystemanalysis,systemvisualization,systemreliabilityperformance,energysavingandadequacyinsystemplanning.Itisunavoidablethatloadcurvescontaincorrupteddataandmissingdataduetovariousrandomfailurefactorsinmetersandtransferprocesses.Inthisthesis,nonparametricsmoothingtechniquesareproposed
6、tomodeltheloadcurvedataanddetectcorrupteddata.Anadaptedmultiplicativemodelisbuilttocorrectcorrupteddataandfillinmissingdata.Inimplementation,anincrementaltrainingprocedureisproposedtoenhancetheperformance.TheexperimentresultsontherealBCTC(BritishColumbiaTransmissionCorporation)loadc
7、urvedatademonstratedtheeffectivenessofthepresentedsolution.Keywords:Timeseries,DynamicTimeWarping,Loadmanagement,Loadmodelling,Powersystems,Powerquality,Smoothingmethods.iiiAcknowledgementsIwouldliketothankmyseniorsupervisorDr.KeWangforhisinvaluableguidanceandsupport.Thisworkwouldno
8、thavebeenarealitywi
