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1、RELIABILITYASSESSMENTOFELECTRICPOWERSYSTEMSUSINGGENETICALGORITHMSADissertationbyNADERAMINAZIZSAMAANSubmittedtotheOfficeofGraduateStudiesofTexasA&MUniversityinpartialfulfillmentoftherequirementsforthedegreeofDOCTOROFPHILOSOPHYAugust2004MajorSubject:ElectricalEngi
2、neering?2004NADERAMINAZIZSAMAANALLRIGHTSRESERVEDRELIABILITYASSESSMENTOFELECTRICALPOWERSYSTEMSUSINGGENETICALGORITHMSADissertationbyNADERAMINAZIZSAMAANSubmittedtoTexasA&MUniversityinpartialfulfillmentoftherequirementsforthedegreeofDOCTOROFPHILOSOPHYApprovedastosty
3、leandcontentby:______________________________ChananSingh(ChairofCommittee)____________________________________________________________KarenL.Butler-PurryOhannesEknoyan(Member)(Member)____________________________________________________________RezaLangariChananSi
4、ngh(Member)(HeadofDepartment)August2004MajorSubject:ElectricalEngineeringiiiABSTRACTReliabilityAssessmentofElectricPowerSystemsUsingGeneticAlgorithms.(August2004)NaderAminAzizSamaan,B.S.,UniversityofAlexandria,Egypt;M.S.,UniversityofAlexandria,Egypt.ChairofAdvis
5、oryCommittee:Dr.ChananSinghThefirstpartofthisdissertationpresentsaninnovativemethodfortheassessmentofgenerationsystemreliability.Inthismethod,geneticalgorithm(GA)isusedasasearchtooltotruncatetheprobabilitystatespaceandtotrackthemostprobablefailurestates.GAstores
6、systemstates,inwhichthereisgenerationdeficiencytosupplysystemmaximumload,inastatearray.Thegivenloadpatternisthenconvolutedwiththestatearraytoobtainadequacyindices.Inthesecondpartofthedissertation,aGAbasedmethodforstatesamplingofcompositegeneration-transmissionpo
7、wersystemsisintroduced.BinaryencodedGAisusedasastatesamplingtoolforthecompositepowersystemnetworkstates.Alinearizedoptimizationloadflowmodelisusedforevaluationofsampledstates.Thedevelopedapproachhasbeenextendedtoevaluateadequacyindicesofcompositepowersystemswhil
8、econsideringchronologicalloadatbuses.Hourlyloadisrepresentedbyclusterloadvectorsusingthek-meansclusteringtechnique.TwodifferentapproacheshavebeendevelopedwhichareGApa