基于排队理论的电动汽车充电站布局选址模型

Fang Lu, Guowei Hua
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引用次数: 19

摘要

不完善的电动汽车充电基础设施网络已成为推动电动汽车普及的主要障碍。Kuby(2005)考虑到车辆里程的约束,建立了基于最大流量- frlm(流量-加油定位模式)的替代燃料车辆定位模型。在规划部署电动汽车充电站网络时,不仅要考虑车辆的行驶里程,还要考虑由于充电站数量的限制而产生的排队问题。因此,在设计充电站网络时,需要考虑到充电站的数量。本文结合排队理论,对FRLM进行了扩展,在顾客可接受的最大等待时间条件下,重新建立了一个新的店面规模模型。该模型在不超过给定等待时间的情况下对充电点进行优化配置,使总充电服务最大化。通过一系列的数值实验,得出了不同因素对结果的不同影响,并对未来电动汽车的发展方向提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A location-sizing model for electric vehicle charging station deployment based on queuing theory
Imperfect electric vehicle charging infrastructure network has become a major obstacle for prompting the adoption of electric vehicles. Kuby (2005) considered the constraint of vehicle range, and developed a location model for alternative-fueling vehicles based on maximum flow -FRLM (flow - refueling location mode). In the plan of deploying an electric vehicle charging station network, not only should we consider the vehicle range, but also need to realize the queuing issue because of the number limitation of charging spots. Therefore, when we design a charging station network, we need to take the number of charging spots into consideration. In this paper, we extend the FRLM, combining with the queuing theory, and reformulate a new location-sizing model in a given largest waiting time that customers can accept. The location-sizing model optimally allocate the charging spots without exceed the given waiting time so as to maximize the total charging service. And we also conclude the different influence on the results of different factors via a series of numerical experiments, and give some advice for the developing direction of the electric car in the future.
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