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Distributed Scheduling and Cooperative Control for Charging of Electric Vehicles at Highway Service Stations

机译:公路服务站电动汽车充电的分布式调度与协作控制

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摘要

The increasing number of electric vehicles (EVs) on highways calls for the installment of adequate charging infrastructure. Since charging infrastructure has limited capacity, EVs need to wait at a charging station to get charged, and their waiting times may differ significantly from one location to another. This paper aims at developing a strategy to coordinate the queues among the charging stations, with only local information about traffic flows and the status of EV charging stations along a bidirectional highway, so that excessively long waiting times can be avoided. Specifically, a distributed algorithm is presented to schedule EV flows into neighboring charging stations, so that EVs are all appropriately served along the highway and that all the charging resources are uniformly utilized. In addition, a distributed decision making policy is developed to influence the aggregate number of EVs entering any given service station, so that each EV makes an appropriate decision (i.e., whether or not it should enter the next charging station) by contributing positively to meeting the desired queue length at service stations and by considering its own battery constraint. Performance improvement of the proposed strategy is illustrated via one of the highways in the United States, namely the Florida Turnpike.
机译:高速公路上越来越多的电动汽车(EV)要求安装适当的充电基础设施。由于充电基础设施的容量有限,因此电动汽车需要在充电站等待充电,并且它们的等待时间在一个位置到另一个位置可能会有很大差异。本文旨在制定一种策略,协调充电站之间的排队,仅使用有关双向高速公路上的交通流量和EV充电站状态的本地信息,从而可以避免过长的等待时间。具体而言,提出了一种分布式算法来调度进入相邻充电站的电动汽车流量,从而使电动汽车都在高速公路上得到适当服务,并且所有充电资源得到统一利用。另外,制定了分布式决策策略来影响进入任何给定服务站的电动汽车的总数,以便每个电动汽车通过积极参与会议做出适当的决策(即,是否应该进入下一个充电站)。服务站所需的队列长度,并考虑其自身的电池限制。拟议策略的性能改进通过美国的高速公路之一,即佛罗里达公路收费公路进行了说明。

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