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Electrical Vehicle Charging Station Profit Maximization: Admission, Pricing, and Online Scheduling

机译:电动汽车充电站利润最大化:入场,   定价和在线调度

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摘要

The rapid emergence of electric vehicles (EVs) demands an advancedinfrastructure of publicly accessible charging stations that provide efficientcharging services. In this paper, we propose a new charging station operationmechanism, the JoAP, which jointly optimizes the EV admission control, pricing,and charging scheduling to maximize the charging station's profit. Morespecifically, by introducing a tandem queueing network model, we analyticallycharacterize the average charging station profit as a function of the admissioncontrol and pricing policies. Based on the analysis, we characterize theoptimal JoAP algorithm. Through extensive simulations, we demonstrate that theproposed JoAP algorithm on average can achieve 330% and 531% higher profit thana widely adopted benchmark method under two representative waiting-time penaltyrates.
机译:电动汽车(EV)的快速兴起要求提供可提供高效充电服务的公共充电站的先进基础设施。在本文中,我们提出了一种新的充电站运行机制,即JoAP,可以共同优化电动汽车的准入控制,定价和充电调度,以最大化充电站的利润。更具体地说,通过引入串联排队网络模型,我们分析了平均充电站利润与准入控制和定价策略的关系。在分析的基础上,我们描述了最佳的JoAP算法。通过广泛的仿真,我们证明了在两个有代表性的等待时间惩罚率下,所提出的JoAP算法平均可以比广泛采用的基准方法获得330%和531%的利润。

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