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1、INTELLIGENTPOWERSYSTEMOPERATIONINANUNCERTAINENVIRONMENTbyYUSUFYAREADISSERTATIONPresentedtotheFacultyoftheGraduateSchooloftheMISSOURIUNIVERSITYOFSCIENCEANDTECHNOLOGYInPartialFulfillmentoftheRequirementsfortheDegreeDOCTOROFPHILOSOPHYinELECTRICALENGINEERING2010Approvedby:GaneshKumarVenayagamoorthy
2、,AdvisorKeithA.CorzineCihanH.DagliJagannathanSarangapaniDonaldC.WunschIIiiiiiPUBLICATIONDISSERTATIONOPTIONThisdissertationhasbeenpreparedinthestyleutilizedbythefollowingjournals:PAPERIIETJournalonGeneration,Transmission&Distribution(http://www.ietdl.org/IET-GTD).Pages31-58arepublishedinthatjour
3、nal.PAPERIIElsevierJournalonEngineeringApplicationofArtificialIntelligence(http://www.elsevier.com/locate/engappai).Pages59-100arepublishedinthatjournal.PAPERIIElsevierJournalonEngineeringApplicationofArtificialIntelligence(http://www.elsevier.com/locate/engappai).Pages101-132arerevisedsubmissi
4、on/inreviewprocessforpublicationinthatjournal.PAPERIVIETJournalonGeneration,Transmission&Distribution(http://www.ietdl.org/IET-GTD).Pages133-160areinreviewprocessforpublicationinthatjournal.PAPERVIEEETransactionsonSmartGrid(http://www.ieee-pes.org/publications/transactions).Pages161-194arerevis
5、edsubmission/inreviewprocessforpublicationinthatjournal.PAPERVIIEEETransactionsonPowerSystems(http://www.ieee-pes.org/publications/transactions).Pages195-235areinreviewprocessforpublicationinthatjournal.ivABSTRACTThisdissertationpresentssomechallengingproblemsinpowersystemoperations.Theefficacy
6、ofaheuristicmethod,namely,modifieddiscreteparticleswarmoptimization(MDPSO)algorithmisillustratedandcomparedwithothermethodsbysolvingthereliabilitybasedgeneratormaintenancescheduling(GMS)optimizationproblemofapracticalhydrothermalpowersystem.TheconceptofmultipleswarmsisincorporatedintotheMDPSOal
7、gorithmtoformarobustmultipleswarms-modifiedparticleswarmoptimization(MS-MDPSO)algorithmandappliedtosolvingtheGMSproblemontwopowersystems.Heuristicmethodsareproposedtocircumventtheproblemsofimposednon-smoothassumptionscommonwiththe
