电动汽车公共充电站布局的最优规划  

Electric Vehicle Public Charging Stations Location Optimal Planning

作　　者：熊虎[1] 向铁元[1] 祝勇刚[1] 宋旭东[1] 陈浩[1] 陈红坤[1] 

机构地区：[1]武汉大学电气工程学院,湖北省武汉市430072

出　　处：《电力系统自动化》2012年第23期65-70,共6页Automation of Electric Power Systems

基　　金：国家重点基础研究发展计划(973计划)资助项目(2012CB215201)~~

摘　　要：电动汽车未来大规模发展需要众多公共充电站服务,公共充电站应根据电动汽车分布进行合理布局。给出电动汽车分布的预测方法,采用基于排队论的充电机配置方法,提出公共充电站布局最优规划的数学模型。采用与充电站布局有相似数学特点的Voronoi图划分充电站服务区域,服务区内电动汽车考虑快充随机性,采用排队论M/M/s模型,以电动汽车排队等候时间为标准确定充电站规模。为解决Voronoi图全局寻优的困难,与具备全局随机寻优能力的改进粒子群优化算法结合,提出了最优规划的联合求解流程。算例分析验证了规划方法和算法的有效性和实用性。Taking into account the need of electric vehicles（EVs）of many public charging stations with their rapid growth in the future,public charging stations should be located according to the distribution of EVs.The method of predicting the distribution of EVs is given,and the charger configuration method based on the queuing theory is provided.A mathematical model for charging station location optimal planning is presented.The Voronoi diagram with many mathematical properties similar to EV charging stations is used to divide service areas.By considering the randomness of fast charging,the queuing time of EVs in the service areas calculated by the queuing theory M/M/s model is used to determine the scale of charging stations.To solve the Voronoi diagram global optimization problem,the Voronoi diagram is combined with the improved particle swarm optimization（PSO）algorithm,which has global stochastic optimization ability,and forms a joint solving process of the optimal planning model.Finally,the example analysis verifies the effectiveness and practicality of the planning method.

关 键 词：电动汽车 充电站 最优规划 VORONOI图 改进粒子群优化算法 

分 类 号：TM910.6[电气工程—电力电子与电力传动]