源、网、荷三方利益最优的电动汽车充放电双层优化调度

摘要

When disorderly charging of electric vehicles is connected into the grid, it will cause excessive load on the power grid and affect the safe operation of the power grid. Based on the time-of-use price mechanism and the access characteristics of electric vehicles, the three party interests of power plant, network and load are considered. On the time scheduling, the minimum load fluctuation and the minimum user cost are selected as the optimization objective. In the space scheduling, the lowest fuel cost of the power plant when the load is connected and the minimum loss of the distribution network are selected as the optimization objective. Then, the adaptive mutation rate genetic algorithm and nonlinear programming are used to obtain the dual level scheduling scheme of the electric vehicle.The simulation validates the validity of the model.%电动汽车的无序充电会造成电网过负荷,影响电网的安全运行.文章基于分时电价机制和电动汽车的入网特性,考虑源、网、荷三方利益.在时间调度上,以负荷波动最小、用户花费最低为优化目标;在空间调度上,以负荷接入后发电厂燃料费用最低、配电网网损最小为优化目标.采用自适应变异率遗传算法及非线性规划寻优得到,电动汽车充放电时空双层调度计划,仿真验证了模型有效性.