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面向用户需求的电动汽车充电站最优规划模型研究

李盛伟 孙巧 白星振 葛磊蛟 李鹏飞

可再生能源2018,Vol.36Issue(4):568-573,6.
可再生能源2018,Vol.36Issue(4):568-573,6.

面向用户需求的电动汽车充电站最优规划模型研究

Optimal planning model for electric vehicle charging stations considering users'demands

李盛伟 1孙巧 2白星振 2葛磊蛟 3李鹏飞2

作者信息

  • 1. 国网天津市电力公司 经济技术研究院,天津300171
  • 2. 山东科技大学,山东 青岛266590
  • 3. 天津大学电气自动化与信息工程学院,天津300172
  • 折叠

摘要

Abstract

An optimal planning model for charging station was proposed that takes the convenience of users' trip and the benefit of operator into account. In addition, the model has a view to satisfying the travel demand and behavior characteristics of users. Simultaneously,the improved immune genetic algorithm was utilized to solve the planning problem. Moreover, the feasibility of the proposed model and method are verified on MATLAB simulation through a case study taking an urban area as an example. Results show that the derived scheme for charging station construction can effectively shorten the detour distance and reduce the time of the charging process. Meanwhile, the operators can get higher revenues in the premise of improving the utilization rate and the coverage fraction.

关键词

电动汽车/选址定容模型/绕行距离/改进的免疫遗传算法/数据包络分析

Key words

electric vehicle (EV)/locating and sizing model/detour distance/improved immune genetic algorithm/data envelopment analysis

分类

能源科技

引用本文复制引用

李盛伟,孙巧,白星振,葛磊蛟,李鹏飞..面向用户需求的电动汽车充电站最优规划模型研究[J].可再生能源,2018,36(4):568-573,6.

基金项目

国家电网公司科技项目(KJ17-1-06). (KJ17-1-06)

可再生能源

OA北大核心CSTPCD

1671-5292

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