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Economics of Electric Vehicle Charging: A Game Theoretic Approach

机译:电动汽车充电经济学:一种博弈论方法

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In this paper, the problem of grid-to-vehicle energy exchange between a smart grid and plug-in electric vehicle groups (PEVGs) is studied using a noncooperative Stackelberg game. In this game, on the one hand, the smart grid, which acts as a leader, needs to decide on its price so as to optimize its revenue while ensuring the PEVGs' participation. On the other hand, the PEVGs, which act as followers, need to decide on their charging strategies so as to optimize a tradeoff between the benefit from battery charging and the associated cost. Using variational inequalities, it is shown that the proposed game possesses a socially optimal Stackelberg equilibrium in which the grid optimizes its price while the PEVGs choose their equilibrium strategies. A distributed algorithm that enables the PEVGs and the smart grid to reach this equilibrium is proposed and assessed by extensive simulations. Further, the model is extended to a time-varying case that can incorporate and handle slowly varying environments.
机译:在本文中,使用非合作Stackelberg博弈研究了智能电网与插电式电动汽车组(PEVG)之间的电网间能量交换问题。一方面,在此游戏中,充当领导者的智能电网需要决定其价格,以便在确保PEVG参与的同时优化其收入。另一方面,充当追随者的PEVG需要确定其充电策略,以便在电池充电收益与相关成本之间取得最佳平衡。使用变分不等式,表明拟议的博弈具有社会最优的斯塔克尔伯格均衡,在该均衡中,网格优化了其价格,而PEVG则选择了其均衡策略。提出了一种分布式算法,可以使PEVG和智能电网达到此平衡,并通过广泛的仿真进行评估。此外,该模型被扩展到可以包含并处理缓慢变化的环境的时变情况。

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