ModelingandSimulation建模与仿真,2023,12(4),3988-3998PublishedOnlineJuly2023inHans.https://www.hanspub.org/journal/moshttps://doi.org/10.12677/mos.2023.124364文章引用:王娟,曾国辉,李嘉睿,臧振森，张振华.基于改进海鸥优化算法的微电网优化配置[J].建模与仿真,2023,12(4):3988-3998.DOI:10.12677/mos.2023.124364基于改进海鸥优化算法的微电网优化配置王娟，曾国辉，李嘉睿，臧振森，张振华上海工程技术大学，电子电气工程学院，上海收稿日期：2023年5月22日；录用日期：2023年7月18日；发布日期：2023年7月25日摘要对微电网进行合理的优化配置是提升微电网接纳分布式电源能力的重要举措，在考虑价格型需求响应的情况下，提出考虑需求响应的基于改进海鸥优化算法(ImprovedSeagullOptimizationAlgorithm,ISOA)的微网储能优化配置模型。针对传统算法对模型求解精度较低、求解速度慢的问题，提出改进的海鸥优化算法，提高收敛速度和精度。并将改进的算法与Cplex求解器联合求解，进行微电网的双层优化配置。实验结果表明，所提改进策略能够显著提高算法寻优能力，且有效降低微网的综合成本，具有优越的应用价值。关键词微电网，需求响应，海鸥优化算法，双层优化OptimalConfigurationofMicrogridsBasedonImprovedSeagullOptimizationAlgorithmJuanWang,GuohuiZeng,JiaruiLi,ZhensenZang,ZhenhuaZhangSchoolofElectronicandElectricalEngineering,ShanghaiUniversityofEngineeringScience,ShanghaiReceived:May22nd,2023;accepted:Jul.18th,2023;published:Jul.25th,2023AbstractAreasonableandoptimalallocationofthemicrogridisanimportantsteptoimprovethemicro-grid’sabilitytoacceptdistributedpowersources,animprovedseagulloptimizationalgorithmbasedonmicrogridenergystorageoptimalallocationconsideringdemandresponseisproposedundertheconsiderationofprice-baseddemandresponse.Toaddresstheproblemsoflowaccuracyandslowsolutionspeedofthetraditionalalgorithmformodelsolving,theimprovedseagullopti-mizationalgorithmisproposedtoimprovetheconvergencespeedandaccuracy.TheimprovedalgorithmisalsocarriedoutwiththeCplexsolverforthetwo-layeroptimalconfigurationofthemicrogrid.Theexperimentalresultsshowthattheproposedimprovedstrategycansignificantly王娟等DOI:10.12677/mos.2023.1243643989建模与仿真improve...
