基于遗传算法的小区电动汽车有序充电策略

An Orderly Charging Control Strategy for Electric Vehicles in Residential Area Based on Genetic Algorithm

为了保证小区电动汽车充电时变压器不过载,提出基于遗传算法的小区电动汽车有序充电控制方法。在综合考虑用户充电需求的基础上,以不改变变压器供电容量和'削峰填谷'为目标,采用蒙特卡洛法模拟负荷并采用遗传算法求解电动汽车的最优充电时间,以实现小区内电动汽车的有序充电。分析结果表明,相比无序充电,所提方法能够在不改变变压器供电容量下,满足用户充电需求,并有效地实现'削峰填谷'。

In order to ensure that the transformer is not overloaded when charging a residential electric vehicle,an orderly charging control method based on genetic algorithm for residential electric vehicles was proposed.In this method,the load is simulated by Monte Carlo simulation method and the optimal charging time of electric vehicle is solved by genetic algorithm,which is aimed at not changing the power supply capacity of transformer and'peak power shifting'on the basis of comprehensive consideration of user’s charging requirement,in order to achieve the orderly charging of electric vehicles in the district.The experimental results show that compared with disordered charging,the proposed method can meet the charging requirements of users without changing the power supply capacity of transformer,and can realize'peak power shifting'effectively.