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电动汽车电池更换站布局的最优规划
引用本文:熊 虎,向铁元,荣 欣,陈红坤. 电动汽车电池更换站布局的最优规划[J]. 电力自动化设备, 2012, 32(9): 1-6
作者姓名:熊 虎  向铁元  荣 欣  陈红坤
作者单位:武汉大学电气工程学院,湖北武汉,430072
基金项目:国家重点基础研究发展计划(973计划)资助项目(2012CB215201)
摘    要:电池更换站应根据换电需求进行合理布局.给出了电动汽车换电需求及其分布的分析方法,提出了电池更换站布局最优规划的数学模型.采用与更换站布局有相似数学特点的Voronoi图划分更换站服务区域,服务区内换电需求决定更换站规模,并与具备全局随机寻优能力的改进粒子群算法结合,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.

关 键 词:电力系统  电动汽车  电池更换站  最优规划  Voronoi图  改进粒子群算法

Optimal allocation of electric vehicle battery swap stations
XIONG Hu,XIANG Tieyuan,RONG Xin and CHEN Hongkun. Optimal allocation of electric vehicle battery swap stations[J]. Electric Power Automation Equipment, 2012, 32(9): 1-6
Authors:XIONG Hu  XIANG Tieyuan  RONG Xin  CHEN Hongkun
Affiliation:(School of Electrical Engineering,Wuhan University,Wuhan 430072,China)
Abstract:The battery swap stations should be allocated based on the swapping demands.A method of battery swapping demand analysis and distribution is given and a mathematical model of optimal planning for battery swap station allocation is presented.Voronoi diagram is adopted to set the service area of battery swap station and its size is determined by the battery swapping demand of this service area.Combined with the improved PSO(Particle Swarm Optimization) algorithm,an integrated solution of optimal battery swap station allocation is proposed.Case study verifies the effectiveness and practicality of the proposed planning method.
Keywords:electric power systems  electric vehicles  battery swap station  optimal planning  Voronoi diagram  improved PSO algorithm
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