电动汽车有序充电的峰谷电价时段优化

Optimization of peak-valley TOU power price time-period in ordered charging mode of electric vehicle

针对如何利用电动汽车有序充电对电网实现削峰填谷效果的问题,提出了峰谷电价时段的优化模型与方法。构建用户选择充电时间对峰谷电价时段的响应模型;通过蒙特卡洛法模拟得到电动汽车充电负荷的日负荷曲线,并与原始电网负荷曲线叠加,从而形成实施效果下的电网实际负荷情况。在此基础上,建立了以峰谷差率最小为目标的最优化模型,并通过遗传算法对峰谷电价时段优化问题进行了求解。最后通过算例的计算结果证明了模型和方法的合理性。

This paper presents an optimized model for TOU power price time-period considering how to use ordered charging of electric vehicles （EV） to cut the peak and fill the valley of electricity power grid. First, a response model of charging time is presented, then the typical day load curve of EV ordered charging is obtained by Monte Carlo simulation, which is attached to the original load curve to form the real load of power grid. Based on this, an optimization model is built with the purpose of minimizing the peak-valley ratio. A genetic algorithm is used to solve this problem to get the best time-period for load shifting. The results of example show the rationality of this model and method.