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1、1SwarmIntelligenceforTransmissionSystemControlG.K.Venayagamoorthy,SeniorMember,IEEEandR.G.Harley,Fellow,IEEEJamesKennedy[15]-[[17]in1995,andwasinspiredbytheAbstract—Manyareasrelatedtopowersystemtransmissionsocialbehaviorofbirdflockingandfishschooling.PSOhasrequiresolvingoneormorenon
2、linearoptimizationproblems.itsrootsinartificiallifeandsocialpsychologyaswellasinWhileanalyticalmethodsmightsufferfromslowconvergenceengineeringandcomputerscience.Itutilizesa“population”andthecurseofdimensionality,heuristicsbasedswarmofparticlesthat“fly”throughtheproblemhyperspacewit
3、hintelligencecanbeanefficientalternative.Thispaperhighlightsgivenvelocities.Ateachiteration,thevelocitiesofthetheapplicationofswamintelligencetechniquesforsolvingsomeofthetransmissionsystemcontrolproblems.individualparticlesarestochasticallyadjustedaccordingtothehistoricalbestpositi
4、onfortheparticleitselfandtheIndexTerms—capacitorplacement,FACTSplacement,neighborhoodbestposition.Boththeparticlebestandthereactivepower,swarmintelligence,transmissionplanning,neighborhoodbestarederivedaccordingtoauserdefinedvoltagecontrol.fitnessfunction[16],[18].Themovementofeachp
5、articlenaturallyevolvestoanoptimalornear-optimalsolution.TheI.INTRODUCTIONword“swarm”comesfromtheirregularmovementsoftheTHENorthAmericanpowergridisthelargestman-madeparticlesintheproblemspace,nowmoresimilartoaswarmmachineintheworld.Itconsistsofsynchronousofmosquitoesratherthanaflock
6、ofbirdsoraschooloffishgenerators,transformers,transmissionlines,switchesand[18].relays,active/reactivecompensators,loadsandcontrollers.PSOisacomputationalintelligencebasedtechniquethatisVariouscontrolobjectives,operationactionsand/ordesignnotlargelyaffectedbythesizeandnonlinearityof
7、thedecisionsinsuchasystemrequiresolvingamultiobjectiveproblem,andcanconvergetotheoptimalsolutioninmanyconstrainedoptimizationproblem.problemswheremostanalyticalmethodsfailtoconverge.ItThepurposeofthispanelpaperistopresentandcanthereforebeeffectivelyappliedtodifferentoptimizationsumm
8、arizeafewoftheswarm
