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An Efficient Game for Coordinating Electric Vehicle Charging

机译：电动汽车充电协调的高效游戏

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摘要

A novel class of auction-based games is formulated to study coordination problems arising from charging a population of electric vehicles (EVs) over a finite horizon. To compete for energy allocation over the horizon, each individual EV submits a multidimensional bid, with the dimension equal to two times the number of time-steps in the horizon. Use of the progressive second price (PSP) auction mechanism ensures that incentive compatibility holds for the auction games. However, due to the cross elasticity of EVs over the charging horizon, the marginal valuation of an individual EV at a particular time is determined by both the demand at that time and the total demand over the entire horizon. This difficulty is addressed by partitioning the allowable set of bid profiles based on the total desired energy over the entire horizon. It is shown that the efficient bid profile over the charging horizon is a Nash equilibrium of the underlying auction game. An update mechanism for the auction game is designed. A numerical example demonstrates that the auction process converges to an efficient Nash equilibrium. The auction-based charging coordination scheme is adapted to a receding horizon formulation to account for disturbances and forecast uncertainty.
机译：制定了一类新颖的基于拍卖的游戏，以研究由于在有限范围内对电动汽车（EV）充电而产生的协调问题。为了争夺地平线上的能源分配，每个单独的EV都提交一个多维投标，该投标等于地平线上时间步数的两倍。使用渐进式第二价格（PSP）拍卖机制可确保拍卖游戏具有激励兼容性。但是，由于电动汽车在充电期间的交叉弹性，单个电动汽车在特定时间的边际估值由当时的需求和整个时期的总需求决定。通过基于整个范围内的总期望能量来划分可允许的出价配置文件集，可以解决此难题。结果表明，收费范围内的有效出价配置文件是基础拍卖博弈的纳什均衡。设计了拍卖游戏的更新机制。数值示例表明，拍卖过程收敛于有效的纳什均衡。基于拍卖的收费协调方案适用于后退地平线公式，以解决干扰和预测不确定性问题。

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  • 来源
    《Automatic Control, IEEE Transactions on》 |2017年第5期|2374-2389|共16页
  • 作者

    Suli Zou; Zhongjing Ma; Xiangdong Liu; Ian Hiskens;

  • 作者单位

    School of Automation, Beijing Institute of Technology (BIT), and the National Key Laboratory of Complex System Intelligent Control and Decision (BIT), Beijing, China;

    School of Automation, Beijing Institute of Technology (BIT), and the National Key Laboratory of Complex System Intelligent Control and Decision (BIT), Beijing, China;

    School of Automation, Beijing Institute of Technology (BIT), and the National Key Laboratory of Complex System Intelligent Control and Decision (BIT), Beijing, China;

    Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Batteries; Games; Elasticity; Degradation; Resource management; Electric vehicles; Sociology;

    机译：电池;游戏;弹性;退化;资源管理;电动汽车;社会学;

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