基于合作博弈与动态分时电价的电动汽车有序充放电方法

为减小大量电动汽车无序充电对电网造成的影响,提出了一种电动汽车智能有序充放电策略。基于合作博弈的思想,以电动汽车代理商与电动汽车用户的合作联盟收益最大为目标,建立了电动汽车的动态分时优化充放电模型。采用粒子群算法求解出代理商与电动汽车用户间的动态分时交易电价,并对电动汽车充放电时段进行引导规划。实际的算例结果验证了该策略的有效性和经济性。通过与固定电价策略进行对比分析,表明所提策略不仅能有效减小峰谷差,避免负荷“新高峰”,且可以提高代理商和电动汽车用户的收益。进一步对比不同数量电动汽车入网对优化效果的影响,发现随着入网电动汽车数量的增多,优化效果更明显。

An orderly charging and discharging method for electric vehicles based ona cooperative game and dynamic time-of-use price

An intelligent electric vehicle orderly charging and discharging strategy is proposed to reduce the impact of a large number of electric vehicles disorderly charging on the power grid. Based on the idea of a cooperative game, a dynamic time-sharing optimization charging and discharging model is established with the goal of maximizing the benefits of the cooperative alliance between electric vehicle agents and electric vehicle users. A particle swarm optimization algorithm is used to solve the dynamic time-sharing trading price between agents and users and guide electric vehicle charging and discharging period planning. The actual calculation results prove the effectiveness and economy of the proposed strategy. Through comparative analysis with the fixed electricity price strategy, it is shown that the proposed strategy can not only effectively reduce the peak-valley difference, and avoid the load "new peak", but also improve the revenue of agents and users. Further comparing the influence of the entry on the network of different numbers of electric vehicles on the optimization effect, it is found that the optimization effect is more obvious with the increase in the number of electric vehicles connected to the grid.This work is supported by National Natural Science Foundation of China (No. 51607105).