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1、POWERSYSTEMANALYSISANDLOADMANAGEMENTUSINGSOFTCOMPUTINGSCHEMESATHESISSUBMITTEDTOTHEGRADUATESCHOOLOFAPPLIEDSCIENCESOFNEAREASTUNIVERSITYbyNNAMDIIKECHINWULUInPartialFul?llmentoftheRequirementsfortheDegreeofMasterofScienceinElectricalandElectronicsEngineeringNICOSIA2011NnamdiIkechiNwulu:POWERS
2、YSTEMANALYSISANDLOADMANAGEMENTUSINGSOFTCOMPUTINGSCHEMESApprovalofDirectorofGraduateSchoolofAppliedSciencesProf.Dr.IlkaySAL˙IHO˙GLU?WecertifythatthisthesisissatisfactoryfortheawardofthedegreeofMasterofScienceinElectricalandElectronicsEngineeringExaminingCommitteeinCharge:DECLARATIONIhereby
3、declarethatallinformationinthisdocumenthasbeenobtainedandpresentedinaccordancewithacademicrulesandethicalconduct.Ialsodeclarethat,asrequiredbytheserulesandconduct,Ihavefullycitedandreferencedallmaterialandresultsthatarenotoriginaltothiswork.Name:NnamdiIkechiNwuluSignature:Date:June15,2011
4、iABSTRACTTheincreasingcomplexnatureoftoday’spowersystemscoupledwiththestrainthemassivepopulationgrowthisexertingonthesystemhasbeenamajorburdenforpowersystemoperatorsandengineers.Typicalreactionstothesetrendsincludesystemcapacityexpansionandloadmanagement.Howeverloadmanagementhasanaddedadv
5、antageoversystemcapacityexpansionduetoitslowermonetarycostandenvironmentallyfriendlynature.Amidsttheloadmanagementmeasuresadoptedinrecentyears,demandmanagementcontractshavebecomeavaluedmeasurenecessaryforpowersystemoperations.Inthisthesissoftcomputingschemesortechniquesaredeployedforpower
6、systemanalysisandalsofordeterminingdemandmanagementcontractvalues.Amidstthemanysoftcomputingschemesavailable,Arti?cialNeuralNetworks(ANN)andSupportVectorMachines(SVM)areutilizedinthisthesis.Themajorattractionoradvantagesoftcomputingschemespossessistheirrealtimeapplicabilitycoupledwithfewe
7、rcomputationalproceduresandshortprocessingtimes.Thusasoftcomputingschemedesignedandtrainedonaspeci?cpowersystemwouldbeabletogiveaccuratevaluesinrealtimeevenwithachangeinthepowersystem.Inthisthesis,differentsoftcomputingarchitecturesandtopologiesaredesignedanddevelop