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首页> 外文期刊>IEEE Transactions on Intelligent Transportation Systems >Bidding for Preferred Timing: An Auction Design for Electric Vehicle Charging Station Scheduling
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Bidding for Preferred Timing: An Auction Design for Electric Vehicle Charging Station Scheduling

机译：用于首选时机的竞标：电动车辆充电站调度的拍卖设计

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This paper considers an electric vehicle charging scheduling setting where vehicle users can reserve charging time in advance at a charging station. In this setting, users are allowed to explicitly express their preferences over different start times and the length of charging periods for charging their vehicles. The goal is to compute optimal charging schedules that maximize the social welfare of all users given their time preferences and the state of charge of their vehicles. Assuming that users are self-interested agents who may behave strategically to advance their own benefits rather than the social welfare of all agents, we propose an iterative auction, which computes high-quality schedules and, at the same time, preserves users' privacy by progressively eliciting their preferences as necessary. We conduct a game theoretical analysis on the proposed iterative auction to prove its individual rationality and the best response for agents. Through extensive experiments, we demonstrate that the iterative auction can achieve high-efficiency solutions with a partial value information. Additionally, we explore the relationship between scheduling efficiency and information revelation in the auction.
机译：本文考虑了电动车辆充电调度设置，车辆用户可以在充电站预先保留充电时间。在此设置中，用户可以在不同的开始时间和用于对其车辆充电的充电周期的长度明确表达他们的偏好。目标是计算最佳的充电时间表，以获得所有用户的时间偏好和车辆的充电状态，最大化所有用户的社会福利。假设用户是自我兴趣的代理商，他们可能表现出战略性地推进自己的福利而不是所有代理商的社会福利，我们提出了一个迭代拍卖，该拍卖会计算高质量的时间表，并同时保留用户的隐私根据需要逐步引发他们的偏好。我们对拟议的迭代拍卖进行了博弈分析，以证明其个性化性合理性和代理商的最佳反应。通过广泛的实验，我们证明迭代拍卖可以通过部分价值信息来实现高效解决方案。此外，我们探讨了拍卖中调度效率与信息启示的关系。

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