微电网混合储能系统容量优化方法

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关键词：微电网；混合储能系统；多目标优化模型；改进NSGA-II算法；TOPSIS；MOPSO；Pareto解集中图分类号：TN709-34；TK732 文献标识码：A 文章编号：1004-373X(2025)20-0095-10

Method of capacity optimization for hybrid energy storage systems in MG

HANYaming,SHENWeichen,ZHUJianye,YUJiajie,FUBaochuan hoolofElectricalandInformationEngineering,Suzhou UniversityofcienceandTechnology,Suzhou59,Cina

Abstract：Withthelarge-scaleappicationof renewableenergy,someofthepower thatcanot beconsumed bythe load endleadstoenergywastageandgridpowerfluctuations,severelyimpactingtheoperationalstabilityofmicrogrid(MG)systems. Onthis basis,amulti-objectiveoptimizationmodel basedon hybrid energystorage system (HESS)in MGis proposed,and the operationalMGstrategyisestablishedbytaking thecomprehensivedailyoperatingcostandself-suficiencyrateof the v asthe objectivefunctions.Then,animprovednon-dominatedsortinggeneticalgorithm-I(NSGA-II）algorithiscombindwithhe TOPSIS decision-makingmethodforproblem-solving.After exampleanalysis,theimproved NSGA-Ialgorithm iscompared with themulti-objectiveparticleswarm(MOPSO)algorithm,aswellasHESSandthebateryenergystoragesystem (BESS).The exampleanalysisresultsshowthatincomparisonwiththe MOPSOalgorithm,theproposedalgorithmdemonstratessignificant advantagesintermsofconvergence speedandthediversityof theParetosolutionsets.IncomparisonwithBESS,HESScan significantlyreduceoperationalMGcostsandiprovesystemstability,effectivelyvalidatingthefeasibilityandsuperiorityof the proposed model and algorithm.

KeyWords：microgrid;hybridenergystoragesystem；multi-bjectiveoptimizationmodel；improvedNSGA-IIalgorithm; TOPSIS;MOPSO;Pareto solution set

0 引言

近年来，随着能源结构改革的推进以及高比例可再生能源的大规模并网，其固有的间歇性和波动性导致微电网（Microgrid，MG)的安全稳定运行受到影响[-4]。（剩余20364字）