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A Multi-Objective Coordinated Charging and Discharging Strategy for Electric Vehicles Based on Stackelberg Game

机译:基于Stackelberg博弈的电动汽车多目标协调充放电策略

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摘要

For the negative impact of large-scale electric vehicles (EVs) disorderly charging on the power grid, a multi-objective optimization strategy for coordinated charging and discharging of EVs based on Stackelberg game is proposed. As the leader, the grid company aims to stabilize load fluctuations and formulate a reasonable electricity price strategy to guide EVs to participate in vehicle-to-grid (V2G);As followers, EV users optimize their charging plans based on electricity price information with the objective of reducing costs and obtaining good comfort. This paper uses the MOPSO algorithm to solve the proposed multi-objective Stackelberg problem, and calculates the optimization results under various preferences, which proves the effectiveness of the proposed model and method.
机译:提出了大型电动车(EVS)对电网充电的负面影响,提出了一种基于Stackelberg游戏的EVS协调充电和卸料的多目标优化策略。作为领导者,电网公司旨在稳定负荷波动,并制定合理的电价策略,以指导EVS参与车辆到网格(V2G);作为追随者,EV用户根据电价信息优化其充电计划目的是降低成本并获得良好的舒适度。本文采用MOPSO算法来解决所提出的多目标Stackelberg问题,并计算各种偏好下的优化结果,这证明了所提出的模型和方法的有效性。

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