考虑电动汽车负载的配电网重构策略

The Strategy for Restructuring Distribution Networks Considering Electric Vehicle Loads

随着电动汽车的普及,其充电负载对城市配电网的影响日益显著,为降低电动汽车聚集充电行为造成的瞬时高功率、高负载影响,采用一种基于蒙特卡洛法考虑电动汽车负载的配电网重构方法.通过建立城市交通路网模型,以汽车出行链理论为基础,采用蒙特卡洛法建立电动汽车时空负荷预测模型,计算典型日电动汽车多时段充电负载.基于粒子群优化算法对该地区配电网进行拓扑重构,降低配电网有功损耗,提高电能质量.以IEEE 33节点配电网为例进行仿真验证.由仿真结果可知,该方法可以缓解电动汽车充电行为对城市配电网造成的影响,且城市配电网有功损耗降低40%以上,优化效果良好.

With the popularization of electric vehicles,their charging loads have an increasingly significant impact on urban distribution networks.In order to mitigate the instantaneous high power and high load effects caused by the clustering charging behavior of electric vehicles,a distribution network reconstruction method considering electric vehicle loads based on the Monte Carlo algorithm is adopted.By establishing a city traffic network model,based on the theory of car travel chains,the Monte Carlo method is used to establish a spatiotemporal load prediction model for electric vehicles,and typical daily electric vehicle multi-time period charging loads are calculated.The distribution network of the area is reconstructed based on the particle swarm optimization algorithm to reduce the active power loss of the distribution network and improve power quality.Simulation verification is conducted using the IEEE-33 node distribution network as an example,and the simulation results show that the method can alleviate the impact of electric vehicle charging behavior on urban distribution networks.Moreover,the active power loss of urban distribution networks is reduced by more than 40%after the application of this method,demonstrating a good optimization effect.