基于用户需求的居民小区电动汽车充放电优化控制策略

An orderly charging/discharging control strategy for electric vehicles based on customer’s demand in residential area

文章提出了一种考虑用户需求和利益的居民小区电动汽车有序充放电策略。该策略基于分时电价机制,对现有负荷模型进行优化,并建立新的用户需求和利益模型;采用莫楞贝突变遗传算法求解每辆电动汽车的最优充放电时间;采用蒙特卡洛模拟法做出相应负荷曲线;以某个小区为例进行算例计算和分析验证。研究结果表明,该方法可防止变压器过载,其峰谷差率比无序充电降低了24.95%,用户平均充电成本降低了50%。

The paper proposes an orderly charging and discharging strategy for electric vehicles in residential areas that considering the user demands and interests. The strategy is based on timeof-use electricity price mechanism, optimize the existing load model and establish a new user demand and benefit model. The Muhlenbein mutation genetic algorithm is used to solve the optimal charging and discharging time of each electric vehicle. Monte carlo simulation method was used to calculate the corresponding load curve. The research results show that the method can prevent transformer overload, the peak-to-valley rate is reduced by 24.95% compared with disordered charging, and the average user charging cost is reduced by 50%.