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1、华北水利水电大学硕士学位论文II万方数据ABSTRACTBasedonimprovedParticleSwarmOptimizationofOptimalPowerFlowCalculationABSTRACTThedevelopmentofmodernsocietycannotleavetheenergy,oneofthemostimportantenergyiselectricity,howtheoperationcouldbesafe,stableandeconomicalisthesev
2、eretesttoPowerSystems.Powersystemoptimalpowerflowistosolvenewproblemsinthepowersystem,andplaysanimportantroleinit.Powersystemoptimalpowerflowistheclassicalnonlinearprogrammingproblemwhichhasmanyconstraints,Whenthescaleofpowersystemgraduallyexpands,th
3、econtrolvariables,statevariablesandconstraintswillalsoincrease.So,howtosolvetheproblemofoptimalpowerflowisthekeytothesystemeconomicandreliableoperation.Theemergenceofparticleswarmoptimization(pso),withitsownuniqueadvantagesandbiologicalevolutionaryba
4、ckground,playsanimportantroleinsolvingtheoptimalpowerflowproblem.Accordingtotheanalysisoftheexistingoptimalpowerflowalgorithm,thispaperproposedusingimprovedparticleswarmoptimalpowerflowcalculation.Combiningparticleswarmoptimization(pso)algorithmandpe
5、naltyfunctiontodealwithoptimalpowerflowconstraints,sothatitcouldchangeintounconstrainedoptimizationproblem,whichsimplifiesthecomplicatedcalculation.Thisalgorithminaddressingtheproblemofoptimalpowerflowalgorithmissimpleandeasytoimplementandalsohasgood
6、convergence,fastcomputingspeed,thatcomparedwiththetraditionalalgorithmismoresuitableforthecomplexproblemofpowersystem.UsingMatlabtoprogrammingimprovedparticleswarmoptimization(pso)algorithmandthetraditionalNewtonmethod,andcalculatingseparatelytheopti
7、malsolutionofIEEE-30nodessystem,comparedtheresultsofbothalgorithms,soastobetterreflecttheadvantageofparticleswarmoptimization(pso)algorithminsolvingcomplexoptimizationproblems.PuttingforwardtheParticleswarmoptimization(pso)algorithmistheinnovationand
8、developmentofintelligentalgorithm,andanewexplorationofeconomicaloperationofpowersystems.Althoughtheimprovedparticleswarmoptimization(pso)algorithminsolvingtheoptimalpowerflowproblem,hastheincomparableadvantage.Butthereisalsoinsufficient.III万方数据华北水利水电
