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Optimal charging facility location and capacity for electric vehicles considering route choice and charging time equilibrium

机译:考虑路线选择和充电时间平衡的电动汽车最佳充电设施位置和容量

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In this study, the optimal design of location and capacity of charging facilities for electric vehicles (EVs) is investigated. A bi-level mathematical model is proposed to derive optimal design considering the equilibrium of route choice and waiting time for charging. The objective is to minimize the joint cost of facility constructions and EV drivers' travel and waiting time over the network. The upper-level model allocates the facilities and their capacity, while the lower-level model characterizes equilibrium behavior of drivers' route and charging facility choices. In particular, we model drivers at each charging facility as the M(t)/M queue and approximate the average queuing time and probability of waiting time as functions of facility capacity and demand arrival rate. The bi-level model is then converted into a single-level model, and the solution algorithm is proposed for iteratively solving the relaxed problems. Comprehensive experiments are conducted on three networks to evaluate algorithm performances, assess solution robustness and understand the scalability of the solution approach on large networks. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在这项研究中,研究了电动汽车(EV)充电设施的位置和容量的最佳设计。考虑到路线选择和充电等待时间的平衡,提出了一个双层数学模型来推导最优设计。目的是最大程度地减少设施建设和电动汽车驾驶员在网络上的旅行和等待时间的共同成本。上层模型分配设施及其容量,下层模型描述驾驶员路线和收费设施选择的均衡行为。特别是,我们将每个充电设施的驾驶员建模为M(t)/ M / n队列,并将平均排队时间和等待时间的概率近似为设施容量和需求到达率的函数。然后将双层模型转换为单层模型,并提出了求解算法来迭代解决松弛问题。在三个网络上进行了全面的实验,以评估算法性能,评估解决方案的鲁棒性并了解大型网络上解决方案方法的可扩展性。 (C)2019 Elsevier Ltd.保留所有权利。

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