基于模糊隶属度的充电站多目标优化调度  

Multi-Objective Optimal Scheduling Based on Fuzzy Membership for Electric Bus Charging Station

作　　者：钱科军 秦萌 宋远军 周振凯 刘乙 谢鹰 陈丽娟[2] QIAN Kejun;QIN Meng;SONG Yuanjun;ZHOU Zhenkai;LIU Yi;XIE Ying;CHEN Lijuan(Suzhou Power Supply Company,State Grid Jiangsu Electric Power Co.,Ltd.,Suzhou 215004,Jiangsu Province,China;School of Electrical Engineering,Southeast University,Nanjing 210096,China;State Grid Electric Vehicle Service Jiangsu Co.,Ltd.,Nanjing 210019,China;Kunshan Power Supply Company,State Grid Jiangsu Electric Power Co.,Ltd.,Kunshan 215300,Jiangsu Province,China)

机构地区：[1]国网江苏省电力有限公司苏州供电分公司,江苏省苏州市215004 [2]东南大学电气工程学院,南京市210096 [3]国网电动汽车服务江苏有限公司,南京市210019 [4]国网江苏省电力有限公司昆山市供电分公司,江苏省昆山市215300

出　　处：《电力建设》2020年第2期118-124,共7页Electric Power Construction

基　　金：国网江苏省电力公司科技项目(典范城市建设中纯电动公交车电池集群参与电网运行的模式及关键技术研究);国家自然科学基金项目(51607098)~~

摘　　要：为兼顾充电站运营商的经济效益与配电网的安全性,建立充电站内电动公交车参与车联网(vehicle to grid,V2G)的多目标优化调度模型。所建模型不仅考虑了电动公交车的出行需求,还考虑了充电站内车-桩的连接状态。由于模型的优化目标间相关性小,故采用模糊隶属度函数对其进行模糊化处理,并基于最大最小理论将多目标优化问题转化为以最大化满意度为目标的单目标优化问题进行求解。仿真结果在无序充电和参与V2G两种模式下对单目标策略和多目标策略进行比较分析,验证了文章所述电动公交车参与V2G的多目标优化调度模型的经济性和有效性。In order to consider both economic benefits of the charging station and the safety of the distribution network,a multi-objective optimized scheduling model for electric buses participating in vehicle to grid(V2G)is established.This model takes into account not only the travelling need of electric buses,but also the bus-pile connection status in the charging station.Due to the low correlation among objectives,the fuzzy membership function is used to fuzzy up objectives.Then the multi-objective optimization problem is transformed into single-objective problem to maximize satisfaction on the basis of the maximum and minimum theory.Finally,single-objective strategy and the multi-objective strategy are compared under disordered charging mode and V2G charging mode,w hich verifies the economy and effectiveness of the multi-objective model of charging station participating in V2G.

关 键 词：电动公交车 充电站 多目标优化 模糊隶属度 车联网(V2G) 

分 类 号：TM734[电气工程—电力系统及自动化]