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首页> 外文期刊>Intelligent Transport Systems, IET >Power charging management strategy for electric vehicles based on a Stackelberg game
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Power charging management strategy for electric vehicles based on a Stackelberg game

机译：基于Stackelberg游戏的电动汽车电力充电管理策略

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摘要

Increasing electric vehicles (EV) charging efficiency and reducing charging cost are important issues of EVs power management and key factor that affect the spread of EVs. Researching the competitive relationship between power grids and EV users is the key to solving this problem. Therefore, the authors propose a charging control strategy that is based on a 1-N-type Stackelberg game. In the game, power grid, retailers, and users are all able to do power decision making. Thus, the charging strategy here can flexibly meet different demands of power grid, retailers, and users. The equilibrium of the game model is solved by the inverse induction method. The benefits are compared by simulation, by the disordered charging process, and by charging control methods based on static time-sharing electricity prices. The influence of the parameters on the charging process in the game model is analysed, and the feasibility of the proposed method is verified. Results show that load peak is reduced by 34.9% while users' charging costs are reduced by 25.1%. The approaches they proposed can effectively solve the competition between the two.
机译：增加电动车（EV）充电效率和降低充电成本是EVS电源管理的重要问题，以及影响EVS传播的关键因素。研究电网与EV用户之间的竞争关系是解决这个问题的关键。因此，作者提出了一种基于1-n型Stackelberg游戏的充电控制策略。在游戏中，电网，零售商和用户都能够做电力决策。因此，这里的充电策略可以灵活地满足电网，零售商和用户的不同需求。通过逆诱导方法解决了游戏模型的均衡。通过仿真的充电过程，通过基于静态时间分享电价的充电控制方法，通过模拟比较益处。分析了参数对游戏模型中的充电过程的影响，验证了所提出的方法的可行性。结果表明，负载峰值减少了34.9％，而用户的充电成本降低了25.1％。他们提出的方法可以有效解决两者之间的竞争。

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