摘要
从电动汽车用户、电力公司、充电站运营商、道路交通部门四个方面展开电动汽车最优充电导航策略的研究,提出"车—网—路—站"多目标优化有序充电导航系统。在此基础上,采用模糊决策法建立综合最优目标模型,实现了在大规模电动汽车快速充电需求下,电动汽车用户利益最优、电力公司网络损耗与电压偏移最小、负荷平衡指数最高、充电站运营商利润最高及交通网侧道路拥堵率最低等多维目标。通过某市交通路网中呈均匀分布的9个充电站及IEEE 14节点系统算例,验证了该智能充电服务策略的合理性及有效性。
This paper researches the optimal electric vehicle charging and navigation strategy from the following four aspects: electric vehicle user,electric power company,charging station operators and traffic management department. It puts forward"vehicle-grid-roadstation"multi-objective optimization and orderly charging navigation system. Based on the system,this paper establishes integrated optimal model by fuzzy decision method,which achieves the highest user's income,the lowest voltage deviation and network loss,the highest load balancing index,the highest profit for charging station operators,and the lowest traffic congestion. With nine charging stations that evenly distributed in the traffic network and IEEE 14-bus system as the test cases,optimization results indicate that the smart charging service strategy is reasonable and effective.
出处
《电力系统自动化》
EI
CSCD
北大核心
2017年第19期66-73,共8页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(51577077)~~
关键词
电动汽车
最优充电导航策略
模糊决策法
综合最优模型
多维目标
electric vehicle
optimal charging and navigation strategy
fuzzy decision method
integrated optimal model
multidimensional goal