交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (6): 169-175.

• 系统工程理论与方法 • 上一篇    下一篇

考虑排队时间和里程约束的竞争充电站选址问题

邵赛,关伟*,毕军   

  1. 北京交通大学交通运输学院, 北京100044
  • 收稿日期:2016-04-14 修回日期:2016-06-16 出版日期:2016-12-25 发布日期:2016-12-26
  • 作者简介:邵赛(1989-),女,江西人,博士生.
  • 基金资助:

    中央高校基本科研业务费/Fundamental Research Funds for the Central Universities (T15JB00150);国家自然科学基金“重点”项目/Key Program of National Natural Science Foundation of China(71131001-2).

Charging Station Location Problem with Queue and Range in Competitive Multi-site Service System

SHAO Sai, GUANWei, BI Jun   

  1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
  • Received:2016-04-14 Revised:2016-06-16 Online:2016-12-25 Published:2016-12-26

摘要:

合理的充电站布局对减少用户里程焦虑和电动汽车普及起到重要作用.本文首先从提高用户体验角度出发,提出充电站容量和偏离距离相结合的效用函数,并基于Logit 模型对多个充电需求进行合理分配.然后综合考虑充电站排队时间和电动汽车里程约束,以最大化用户总效用为目标建立竞争环境中的充电站选址模型,并采用免疫优化算法对模型进行求解.最后给出实例,结果表明,充电站运营商不仅可获得最佳选址方案,还可根据充电站内部状态和电动汽车到达情况实时调整运营策略以满足大量充电需求.而影响选择因素权重实验则说明,相对于偏离距离,充电站容量更具有吸引力.

关键词: 交通工程, 电动汽车, 充电站选址, Logit模型, 排队时间, 免疫优化算法

Abstract:

Reasonable charging station location problem has an important effect on relieving users’range anxiety and popularization of electric vehicles (EVs). Firstly, in terms of improving users' experience, this paper proposes a utility function combining station capacity with deviated distance and allocates charging demand of EVs based on Logit model. And then, with consideration of queuing time in charging stations and EV range constraint, charging station location model in competitive multi-site service system is developed to maximize the total utility. Moreover, the model is solved by immune algorithm. At last, a study case is given. The results show charging station operators not only acquire the optimal location plan, but also real- time adjust the operation scheme to satisfy many charging demand according to the internal status at charging stations and the arrival EVs. In addition, The results of the chosen factor experiment indicate that comparing to the deviated distance, charging capacity plays more important role in the utility function and attracts more users.

Key words: transportation engineering, electric vehicle, charging station location problem, Logit model, queue time, immunity algorithm

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