电力系统自动化2013，Vol.37Issue(13)：63-69,98,8.DOI:10.7500/AEPS201211031
考虑交通网络流量的电动汽车充电站规划
Optimal Planning for Electric Vehicle Charging Stations Considering Traffic Network Flows
摘要
Abstract
Reasonable siting and sizing of charging stations are important for extensive applications of electric vehicles.A multiobjective decision-making model for the optimal planning of electric vehicle charging stations is developed,with the dual attributes of charging stations as public service facilities of urban traffics and ordinary electric facilities taken into account.Three objective functions are defined to respectively maximize the captured traffic network flow,minimize the network loss,and to minimize the average voltage deviation.The well-established super-efficiency data envelopment analysis is employed to determine the appropriate weights among the three objective functions,and in this way the multi-objective optimization problem is transformed into a single-objective programming one.Then,the enhanced binary particle of swarm optimization (BPSO) is used to solve the single-objective programming model.Finally,a 33-node test feeder and a 25-node traffic network are utilized to illustrate the essential features of the developed model and the effectiveness of the presented method.关键词
电动汽车/充电站规划/交通流量/超效率数据包络分析/改进的二进制粒子群优化算法Key words
electric vehicle/ charging station planning/ traffic network flow/ super-efficiency data envelopment analysis/enhanced binary particle swarm optimization algorithm引用本文复制引用
王辉,王贵斌,赵俊华,文福拴,李捷..考虑交通网络流量的电动汽车充电站规划[J].电力系统自动化,2013,37(13):63-69,98,8.基金项目
This work is supported by National Basic Research Program of China (973 Program) (No.2013CB228202),National Natural Science Foundation of China (No.51107114,No.51177145) and Electric Power Research Institute of Fujian Electric Power Company Limited (No.12-110107-013) （973 Program）
国家重点基础研究发展计划(973计划)资助项目(2013CB228202) （973计划）
国家自然科学基金资助项目(51107114,51177145) （51107114,51177145）
福建省电力有限公司电力科学研究院科研项目(12-110107-013). （12-110107-013）
