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Optimal Dispatch of Electric Taxis and Price Making of Charging Stations Using Stackelberg Game

机译:使用Stackelberg游戏的电动出租车最优派遣电动出租车和价格制作

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With the popularity of electric vehicles, numerous cities have adopted electric vehicles as a part of taxis system. Compared with traditional fuel taxis, electric taxis (ETs) have to rely on charging stations (CSs) to charge frequently, so that it is possible to use charging behavior to control the actions of ETs. This paper considers the problem of optimizing dispatch of electric taxis and charging stations' prices making. Specifically, based on the electricity price control strategy, electric taxis are guided to suitable charing stations deliberately to match a desired dispatch which could improve service quality or operating efficiency of taxis system. In this paper, a Stackelberg (leader-followers) game model is proposed to describe the optimal dispatch and price-making problems. The existence of Nash equilibrium of this game is analyzed, and a low computational complexity algorithm that is suitable for large scale problem is designed to solve this game. In addition, a practical situation is simulated and the impacts of several parameters are presented.
机译:随着电动汽车的普及,许多城市都采用了电动汽车作为出租车系统的一部分。与传统燃料出租车相比,电动出租车(ETS)必须依靠充电站(CSS)经常充电,从而可以使用充电行为来控制ETS的动作。本文考虑了优化电动出租车派遣的问题和收费的价格。具体而言,根据电价控制策略,电动出租车被引导到合适的Confing站,以匹配所需的发货,这可以提高出租车系统的服务质量或运营效率。在本文中,提出了一个Stackelberg(领导者 - 追随者)游戏模型来描述最佳调度和价格制造问题。分析了该游戏的纳什均衡的存在,并且设计了适合大规模问题的低计算复杂性算法旨在解决该游戏。此外,模拟了实际情况,并提出了几个参数的影响。

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