论文部分内容阅读
电动汽车充电负荷的不确定性以及风电机组出力的随机性给配电网无功优化带来了新的挑战。研究了含电动汽车充电站和风电的配电网无功优化模型和算法,建立了电动汽车充电负荷模型和风电出力模型,将风电场作为连续可控的无功源参与无功优化。基于机会约束规划方法建立了含电动汽车充电站和风电的配电网多目标无功优化模型。算例结果表明本文所建配电网无功优化模型能够提高配电网运行的经济性与可靠性。
The uncertainty of EV charging load and the randomness of output of wind turbines bring new challenges to reactive power optimization of distribution network. The reactive power optimization model and algorithm for distribution network including EV charging station and wind power are studied. The EV charging load model and wind power output model are established, and the wind farm is taken as continuously controllable reactive power to participate in reactive power optimization. Based on the opportunistic constrained programming method, a multi-objective reactive power optimization model of distribution network including electric vehicle charging station and wind power is established. The result shows that the model of reactive power optimization in this paper can improve the economy and reliability of distribution network.