Optimal Placement ofUPFCinPowerSystems UsingGenetic Algorithm

inthis paper GA isusedfordetermining optimal(7). Inthepowersystem GA hasbeenrecently applied for location ofUPFCinthepowersystem. Optimal location inthisoptimization of generation expansion planning (8), paper ismeantfinding line numberforUPFClocation anditsEconomic dispatch (9), unit commitment (10)andcapacitor parameters forspecified numberofUPFCs.Unlikeother FACTSdevices, UPFChasgreat flexibility thatcancontrol the Plaement (1). activeand reactive powerflowand bus voltages, Powerflowstudy ofpowersystem including UPFCwith simultaneously. Thesystem loadability isapplied asmeasure of conventional methods suchasNewtonRaphson needstouse powersystem performance. Decoupled modelofUPFCisusedmodels forUPFC.Thesemodels don't mustchange Newton insimulation. Theconcept ofsimulation istheloadflowRaphson method. Onemodelwiththesespecification sis incorporated withUPFC.Studies areapplied onthe14-buses namedDecoupled model. Inthedecoupled UPFCmodel, the IEEE network. The results haveshownthatsteady stateendsofUPFCmaybeassigned asPQbuses orthePVbuses performance ofpowersystem canbeeffectively enhanced due withthedesired values. Inthis modelthepowerflowofthe totheoptimal location andparameters ofUPFC. IndexTerms- Genetic Algorithm (GA), UPFC,PowerFlow powersystem withUPFC canbeimplemented without (PF), Loadability, Optimal Location, LoadIncreasing changing theconventional powerflowprogram onlywith addition oftwobuses peroneUPFCandthemodelcanbe usedforpowerflowcontrol easily. So,decoupled UPFC