【摘要】 随着配网中可再生能源(RES)、电动汽车(EV)的渗透率越来越高，可再生能源出力的随机波动、电动汽车的无序充电都会给电网的正常运行带来更大的负面影响。基于配网中的逆变器(inv)、储能(ES)、无功电容组(CB)、电动汽车等模型，计及电网潮流、电池性能、电动车需求等约束，提出以配网运行成本和电动车用户成本最小的配网协同多目标优化调度策略。算例利用蒙特卡洛方法模拟电动汽车用户的充电行为，对比分析了电动汽车在无序充电和有序充电模式下的仿真结果。针对电动汽车提出“定功率”、“定时长”两种有序充电策略，并利用改良的IEEE33节点配电网系统进行仿真，验证了模型和策略的有效性。更多还原

【Abstract】 With the increasing penetration of renewable energy and electric vehicles the random fluctuation of renewable energy output and disorderly charging of electric vehicles will lead to the instabilities of voltage and frequency in distribution network. Based on the models of inverter, energy storage, static capacitor banks and electric vehicle in grid, considering the constraints of power flow, battery performance and electric vehicle demand, a multi-objective optimization scheduling strategy has been proposed to minimize the comprehensive operation costs of network and electric vehicle.Compared with the disorderly charging scenario, the simulation results of IEEE33-node system show that, the proposed charging optimization strategy can balance the power flow distribution of the distribution network and reduce the operation cost of network and the spending of EV users. It is conducive to the stability and economic operation of distribution network and cheap plan of EV charging at the same time.更多还原