基于多目标优化的电动汽车有序充电算法研究

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中图分类号：TM73 文献标志码：A 文章编号：2095-2945（2025）29-0089-04

Abstract：Withtherapidriseofthenumberofelectricvehicles，theimpactofdisorderlychargingonthepowergridhas becomeicreasinglyprominent.Thispaperaimstoproposeanorderlychargingalgorithmforelectricvehiclesbasedomultiobjectiveoptimization，inordertoaleviatetheloadpressureofthegridandimprovethechargingexperienceofusers.By constructingamulti-bjectivefunctionincludingtheminimizationofgridloadfluctuation，theminimizationofchargingostand themaximizationofusersatifaction，andcombiningwithpowerconstraints，timeconstraintsandotherconditions，anorderly chargingmodelisestablished.Theimprovednon-dominatedsortinggeneticalgoithm（NSGA-II）isusedtosolvethemodelto enhancetheconvergenceanddistibutionofthealgorithm.Thesimulationresultsshowthatthealgorithmcanefectivelyreduce thepeakvalleydiferenceof powergridload，reduceuserchargingcosts，improveusersatisfaction，andshowgoodperformance in taking into account the interests of power grid and users.

Keywords：electric vehicle；orderly charging;multi-objective optimization；NSGA-II algorithm;grid load

近年来，电动汽车凭借节能环保优势在全球迅猛发展，保有量快速增长。（剩余5024字）