Thesis - Power system fault analysis based on intelligent te

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1、POWERSYSTEMFAULTANALYSISBASEDONINTELLIGENTTECHNIQUESANDINTELLIGENTELECTRONICDEVICEDATAADissertationbyXULUOSubmittedtotheO±ceofGraduateStudiesofTexasA&MUniversityinpartialful¯llmentoftherequirementsforthedegreeofDOCTOROFPHILOSOPHYMay2007MajorSubject:ElectricalEngineeringPOWERSY

2、STEMFAULTANALYSISBASEDONINTELLIGENTTECHNIQUESANDINTELLIGENTELECTRONICDEVICEDATAADissertationbyXULUOSubmittedtotheO±ceofGraduateStudiesofTexasA&MUniversityinpartialful¯llmentoftherequirementsforthedegreeofDOCTOROFPHILOSOPHYApprovedby:ChairofCommittee,MladenKezunovicCommitteeMem

3、bers,ChananSinghEdgarSanchez-SinencioWilliamLivelyHeadofDepartment,CostasN.GeorghiadesMay2007MajorSubject:ElectricalEngineeringiiiABSTRACTPowerSystemFaultAnalysisBasedonIntelligentTechniquesandIntelligentElectronicDeviceData.(May2007)XuLuo,B.S.,Xi'anJiaotongUniversity;M.S.,Xi'

4、anJiaotongUniversityChairofAdvisoryCommittee:Dr.MladenKezunovicThisdissertationhasfocusedonautomatedpowersystemfaultanalysis.Newcontributionstofaultsectionestimation,protectionsystemperformanceevaluationandpowersystem/protectionsysteminteractivesimulationhavebeenachieved.In-te

5、lligenttechniquesincludingexpertsystems,fuzzylogicandPetri-nets,aswellasdatafromremoteterminalunits(RTUs)ofsupervisorycontrolanddataacquisition(SCADA)systems,anddigitalprotectiverelayshavebeenexploredandutilizedtofu¯lltheobjectives.Thetaskoffaultsectionestimationisdi±cultwhenm

6、ultiplefaults,failuresofprotectiondevices,andfalsedataareinvolved.AFuzzyReasoningPetri-netsapproachhasbeenproposedtotacklethecomplexities.Inthisapproach,thefuzzyreasoningstartingfromprotectionsystemstatusdataandendingwithestimationoffaultedpowersystemsectionisformulatedbyPetri

7、-nets.Thereasoningprocessisimplementedbymatrixoperations.DatafromRTUsofSCADAsystemsanddigitalprotectiverelaysareusedasinputs.Experientialtestshaveshownthattheproposedapproachisabletoperformaccuratefaultsectionestimationundercomplexscenarios.Theevaluationofprotectionsystemperfo

8、rmanceinvolvesissuesofdataacqui-sition,predictionofexpectedop