运筹与管理 ›› 2017, Vol. 26 ›› Issue (8): 76-84.DOI: 10.12005/orms.2017.0189

• 理论分析与方法探讨 • 上一篇    下一篇

目的地充电站电动汽车充电设施优化配置

韩煜东, 任瑞丽, 许茂增   

  1. 重庆交通大学 经济与管理学院,重庆 400074
  • 收稿日期:2016-05-10 出版日期:2017-08-25
  • 作者简介:韩煜东(1975-),男,甘肃兰州人,副教授,博士,研究方向:系统工程、运筹与管理等;任瑞丽(1990-),女,河南省周口人,硕士研究生,研究方向:运筹与管理;许茂增(1960-),男,陕西大荔人,教授,博士生导师,研究方向:物流与供应链管理、运筹与管理等。
  • 基金资助:
    重庆市教委人文社会科学研究项目(17SKG071);国家自科基金资助项目(714710224)

Optimal Allocation of Electric Vehicle Charging Facilities in Destination Charging Stations

HAN Yu-dong, REN Rui-li, XU Mao-zeng   

  1. School of Economics and Management Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2016-05-10 Online:2017-08-25

摘要: 为了研究城市商业区目的地充电站的设施优化问题,本文在充分考虑快、慢充电设施充电时间的差异性和顾客在目的地接受充电时间异质性的基础上,构建了针对两类服务设施的排队论模型,同时以将同类型服务设施并联视为一台大型服务设施为出发点,这一出发点的可行性通过对M/M/1和M/M/n模型的相关指标值比对进行了验证;然后,在窗口能力不等的多服务窗排队系统中纳入已并联的快充与慢充充电设施,在获得模型基本参数基础上,再运算得到稳态方程及相关指标值,在此基础上构建了使用方与建设方综合服务费用最小的目标函数。本文末对所提出方法可行性与优越性由算例与对比分析进行了证实。

关键词: 电动汽车, 目的地充电站, 充电设施, 优化配置, 排队论

Abstract: To study the facilities optimization problem of destination charging station in urban business districts, this paper sufficiently considered the differences of charging time of fast and slow charging facilities as well as the heterogeneity of customers accepting the charging time, the queuing theory model about two kinds facilities was proposed, which had connected the same kind facilities together as a large service facility. And this paper could verify the feasibility of the parallel idea through the comparison analysis of some index values of the queuing model M/M/1 and M/M/n. Then, this paper would take the fast and slow charging facilities after parallel into the queuing system model of multiple services with unequal window capabilities, and take the calculated arrival rate and demand probability of fast and slow charging facilities as the parameters to work out steady-state equations and some related index values, and then take those result into the optimized objective function of this queuing model, which was established with the minimum cost for the builders and users, to obtain the optimization result. Finally, through illustrative examples and comparison it proved that this method in the paper had a certain feasibility and superiority.

Key words: electric vehicles, destination charging stations, charging facilities planning, optimal allocation, queuing theory

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