基于主从博弈的电动汽车有序充电策略

Shutong Duan, H. Sui, Shoukun Zhang
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引用次数: 2

摘要

由于电动汽车充电的随机性,制定有效、合理的电动汽车调度策略更具挑战性。基于电网的价格优势,建立了电网为博弈主体、电动汽车为博弈从属的主从博弈模型。采用粒子群算法求解最优分时电价策略和电网调度策略。在此基础上,利用MATLAB进行了仿真实验设计。结果表明,该模型对负荷曲线具有优化效果,能减小峰谷差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Orderly Charging Strategy for Electric Vehicles Based on Master-Slave Game
With the randomness of charging electric vehicles (EV), it’s more challenging to formulate effective and reasonable electric vehicle scheduling strategies. Due to the price advantage of the power grid, a master-slave game model is developed, in which the grid is the game subject and the electric vehicle is the game subordinate. The particle swarm algorithm is used to obtain the optimal time-of-use electricity price strategy and grid dispatching strategy. Furthermore, the simulation experiment is designed with MATLAB. It is proved that the proposed model has an optimizing effect on the load curve and can reduce the peak-valley difference.
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