With the increase of the number of electric vehicles (EVs), it is of vital importance to develop the efficient and effective charging scheduling schemes for all the EVs. In this article, we aim to maximize the social welfare of all the EVs, charging stations (CSs) and power plant (PP), by taking into account the changing demand of each EV, the changing price, the capacity and the congestion balance between different CSs. To this end, two efficient scheduling algorithms, i.e., Centralized Charging Strategy (CCS) and Distributed Charging Strategy (DCS) are proposed. CCS has a slightly better performance than the DCS, as it takes all the information and make the decision in the central control unit. On the other hand, DCS dose not require the private information from EVs and can make decentralized decision. Extensive simulation are conducted to verify the effectiveness of the proposed algorithms, in terms of the performance, congestion balance, and computing complexity.

中文翻译：

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电动汽车的拥塞平衡和福利赋能充电策略

随着电动汽车（EV）数量的增加，为所有电动汽车制定高效、有效的充电调度方案至关重要。在本文中，我们的目标是通过考虑每辆电动汽车的需求变化、价格变化、容量和拥堵平衡，最大限度地提高所有电动汽车、充电站 (CS) 和发电厂 (PP) 的社会福利。不同的 CS。为此，提出了两种高效的调度算法，即集中式计费策略（CCS）和分布式计费策略（DCS）。CCS 的性能略好于 DCS，因为它获取所有信息并在中央控制单元中做出决定。另一方面，DCS 不需要电动汽车的私人信息，可以做出分散的决策。