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多方互利共赢的电动汽车智能充电服务策略

侯慧 樊浩 苏舒 李正天 柯贤斌 罗俊阳

电力系统自动化2017,Vol.41Issue(19):66-73,8.
电力系统自动化2017,Vol.41Issue(19):66-73,8.DOI:10.7500/AEPS20161219010

多方互利共赢的电动汽车智能充电服务策略

Multilateral Win-win Strategy for Smart Charging Service of Electric Vehicle

侯慧 1樊浩 2苏舒 3李正天 3柯贤斌 1罗俊阳1

作者信息

  • 1. 武汉理工大学自动化学院,湖北省武汉市430070
  • 2. 国网山西省电力公司太原供电公司,山西省太原市030012
  • 3. 强电磁工程与新技术国家重点实验室(华中科技大学),湖北省武汉市430074
  • 折叠

摘要

Abstract

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 road station" 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.

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

Key words

electric vehicle/optimal charging and navigation strategy/fuzzy decision method/integrated optimal model/multidimensional goal

引用本文复制引用

侯慧,樊浩,苏舒,李正天,柯贤斌,罗俊阳..多方互利共赢的电动汽车智能充电服务策略[J].电力系统自动化,2017,41(19):66-73,8.

基金项目

国家自然科学基金资助项目(51577077).This work is supported by National Natural Science Foundation of China (No.51577077). (51577077)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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