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  • Optimization of Battery???Supercapacitor Hybrid Energy Storage Station in Wind/Solar Generation System

    电池的优化???风能/太阳能发电系统中的超级电容器混合储能站

    0 约8页 pdf
    标签: battery storage plants energy storage particle swarm optimisation power system reliability simulated annealing

    出版日期:2013

    杂志名称:IEEE Transactions on Sustainable Energy
    卷号:Vol.5
    期数:2
    刊号:1949-3029
    出版日期:2013

    简介:ncapacityoptimizationofhybridenergystoragestation(HESS)inwind/solargenerationsystem,howtomakefulluseofwindandsolarenergybyeffectivelyreducingtheinvestmentandoperationcostsbasedontheloaddemandthroughallocatingsuitablecapacityofHESSisanoptimizationproblem.Theoptimizationobjectiveistominimizeone-timeinvestmentandoperationcostsinthewholelifecycle,theconstraintsareutilizationrate,andreliabilityofpowersupply.Inthispaper,mathematicalmodelsofwind/solargenerationsystems,battery,andsupercapacitorarebuilt,theobjectiveoptimizationfunctionofHESSisproposed,andvariousconstraintsareconsidered.Tosolvetheoptimizationproblem,improvedsimulatedannealingparticleswarmoptimizationalgorithmisproposedbyintroducingthesimulatedannealingideaintoparticleswarmalgorithm.Thenewalgorithmenhancetheabilitytoescapefromlocaloptimumandimprovethediversityofparticleswarm,thenhelptoavoidprematurityandenhancetheglobalsearchingabilityofthealgorithm.Withtheexamplesystem,theoptimizationresultsshowthattheconvergenceofnewalgorithmisfasterthanthetraditionalparticleswarmoptimizationalgorithmanditscostoptimizationisbetter,whichdemonstratedthecorrectnessandvalidityoftheproposedmodelsandalgorithms.ThismethodcanprovideareferenceforthecapacityoptimizationofHESSinwind/solargenerationsystem.

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