基于新能源短路比约束的最大准人容量优化

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引用格式：，等.基于新能源短路比约束的最大准入容量优化[J].现代电子技术，2025，48（18）：99-106

关键词：最大准入容量；新能源并网系统；短路比；容量优化；无功补偿容量；粒子群优化算法；IEEE39节点系统中图分类号：TN86-34；TM715；TP18 文献标识码：A 文章编号：1004-373X（2025）18-0099-08

Maximum allowable capacity optimization based onrenewable energy SCR constraint

SONG Ziang1，WANG Jiamei1，TANG Jianing，²，CHENG Sanbang1，LI Huaxin1 （1.School ofElectricaland Information Technology，Yunnan Minzu University，Kunming 65o5oo，China; 2.YunnanKeyLaboratoryofUnmannedAutonomous System，YunnanMinzu University，Kunming 65o5oo，China）

Abstract：In thecontextof large-scaleintegrationof renewableenergyintopower systems，a maximumallowablecapacity optimization method basedontherenewableenergyshort circuitratio （SCR）constraintisproposed toensurestable system operationwhilemaximizing thebenefitsofrenewableenergygridconnection.Thediscussionandanalysisof theSCRsuitablefor renewableenergygrid-conectedsystemareconducted.InalusiontotheshortcomingsofexistingSCR，amultiplerenewable energystationsshort circuitratio（MRSCR）consideringreactivepowercompensationcapacity isproposed.The encoding of variables intheparticleswarmoptimization（PSO）algorithmisimprovedtoachieveflexibilityinthenumberofrenewableenergy access points.ThecapacityoptimizationiscarredoutbasedontherenewableenergySCRconstraintandbymeansof the improved PSOalgorithm.The IEE39-bussystem isusedasacasestudyforthesimulation.Theresearchresultsindicate that MRSCRcanefectivelyreflecttheinfluenceof reactive power compensation capacityon the SCRvalue.TheimprovedPSO algorithm has better optimization performance.

Keywords：maximum alowable capacity;renewable energygrid-connected system;short circuit ratio;capacityoptimization; reactive power compensation capacity;particle swarm optimization algorithm; IEEE 39-bus system

0 引言

可靠的环境下运行的同时，优化新能源的接入位置和准入容量是一个值得研究的方向。（剩余9716字）