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大规模电动汽车无序充电以及可再生能源渗透率的不断提高,给电力系统安全经济运行带来巨大挑战。本文在城市情况下,考虑了电池容量约束、充放电功率约束及网络约束等约束条件和电动汽车行为特性,以减小配电网等效负荷峰谷差和降低配电网有功网损为目标,建立了计及光伏的电动汽车多目标协同优化模型,利用改进了的粒子群优化算法对所建模型进行求解。最后以IEEE33节点配电网为例进行了分析,结果表明优化入网电动汽车充放电功率可降低等效负荷峰谷差,减小了调峰备用容量,同时降低了配电网网损,提高了配电网运行的经济稳定性。
The disorderly charging of large-scale electric vehicles and the increasing penetration of renewable energy bring enormous challenges to the safe and economic operation of power systems. This paper considers the constraints of battery capacity, power constraints of charging and discharging and network constraints, and the behavior of electric vehicles in the urban area, in order to reduce the peak-to-valley difference of distribution network equivalent load and reduce the active power loss of distribution network , A multi-objective collaborative optimization model of electric vehicle considering photovoltaic is established, and the improved particle swarm optimization algorithm is used to solve the model. Finally, the IEEE33 node distribution network is taken as an example to analyze the results. The results show that optimizing the charging and discharging power of electric vehicles can reduce the equivalent peak-to-valley difference, reduce the peak standby capacity, reduce the distribution network loss and increase Economic Stability of Distribution Network Operation.