【摘要】 大量的电动汽车和分布式电源接入配电系统,严重影响了配电网的重构,使得传统配电网模型难以适用。考虑负荷变化的随机性,提出建立以网损最少和供电质量最优为目标函数的重构模型,分析了风力发电系统、光伏系统和电动汽车的动态概率模型,通过基于蒙特卡洛随机潮流算法计算出目标函数的期望值,考虑重构时段动态划分,采用改进的粒子群算法,对重构模型进行求解。采用IEEE33节点测试系统进行仿真计算,表明该方法是正确和有效的。更多还原

【Abstract】 A large number of Electric Vehicle(EV)and Distributed Generation(DG)accessed to distributed system,have serious impact on the reconfiguration of distribution network,and make it hard to describe the problem while using the traditional model.In order to consider the uncertainty of the load,it is proposed to build a objective reconfiguration model with the features of the minimization of network loss and optimization of power quality.The dynamic probabilistic model of the wind power system,solar power system and EV is introduced carefully and the expected target is calculated by means of Monte Carlo probabilistic power flow.The model is solved by using particle swarm optimisation(PSO)while considering dynamic partition of time intervals.The coiTectness and effectiveness of the method proposed in this paper is verified through the simulation results of IEEE33—node system.更多还原