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1、OptimalDynamicNeurocontrolofaGate-ControlledSeriesCapacitorinaMulti-machinePowerSystemSwaksharRay,StudentMember,IEEE,GaneshK.Venayagamoorthy,SeniorMember,IEEE,EdsonH.Watanabe,SeniorMember,IEEE,FabioD.deJesusGCSC,however,itscostandcomplexityismuchhigherAb
2、stract--ThispaperpresentsthedesignofanoptimalcomparedtoGCSC.dynamicneurocontrollerforanewtypeofFACTSdevice-theTheserieslinereactanceisoneofthemainfactorswhichGateControlledSeriesCapacitor(GCSC)incorporatedinagovernthemaximumpowerflowthroughatransmissionl
3、ine.multi-machinepowersystem.TheoptimalneurocontrollerisTheconventionaltechniqueforrealpowercontrolistousedevelopedbasedontheHeuristicDynamicProgramming(HDP)fixedcapacitorsinserieswiththetransmissionline,thusapproach.Inaddition,adynamicidentifier/modelan
4、dcontrollerstructureusingtherecurrentneuralnetworktrainedwithreducingeffectiveinductivereactanceoftheline.ThismethodBackpropagationThroughTime(BPTT)isemployed.Simulationcanincreasetherealpowerflowinthelineandcanachieveresultsarepresentedtoshowtheeffectiv
5、enessofthedynamicstabilitylimitclosetoitsthermallimits.ButfixedcapacitorsneurocontrolleranditsperformanceiscomparedwiththatofthedonotprovideoptionsforcontrollingthepowerflowconventionalPIcontrollerundersmallandlargedisturbances.accordingtotherequirements
6、whichmayvaryovertime.Thus,theadvantageofdeployingseriesFACTSdevicesIndexTerms-GCSC,DynamicNeurocontroller,MultimachinePowerSystem,FACTS,HeuristicDynamicProgramming,BPTT(TCSCandGCSC)forsuchconditions.WiththyristororGTOcontrolledseriescapacitors,theeffecti
7、vecapacitivereactanceofthecompensatorcanbevariedprovidingdynamiccontrolI.INTRODUCTIONofrealpowerflowinalineovercertainrangeofoperation.Inaddition,itmayprovidedampingtothesystemduringOWADAYS,itisbecomingincreasinglydifficulttotransients.Nbuildnewelectricp
8、owertransmissionlinesduetoForhighlynonlinearsystemssuchasthepowersystem,therestrictionsimposedbyfinancialandenvironmentalperformancesofthelinearcontrollersdegradeastheoperatingissues.Asthepowerconsumptionisincreasing,theex
