电动汽车换电站的电池充电策略优化研究

Charging Strategy’s Optimization for Electric Vehicle Batteries’ Station

摘要: 随着电动汽车的发展，其换电站电池的有序充电将成为消纳风、光等可再生能源波动性的新方式。本文研究使含风力发电、光伏发电微电网的等效负荷波动性最小的电动汽车换电站电池调度方案的制定方法，将离散粒子群优化算法与动态规划算法进行比较，经过算例证明，动态规划法具有比离散粒子群算法更好的优化效果，并总结了电池数量与平抑等效负荷波动性无直接关系。

Abstract: With the development of electric vehicles, managing the batteries’ charging of electric vehicle station orderly will be a new way to admit the wave of the new generation of energy. Therefore, this paper mainly studies the orderly charging batteries in the micro grid, making the equivalent load of the main grid which is included of wind power, photovoltaic and the electric vehicles’ charging batteries reach the minimum variance. We compare the dispersed Particle Swarm Optimization (DPSO) with the Dynamic Programming (DP), and an example shows that the DP optimization result is better than the result of PSO, proving that the batteries’ number has no direct effect on the equivalent load’s variance.