基于场景时域概率的主动配电网全协调无功优化

针对主动配电网中风光荷储具有随机性和间歇性，无功全协调优化困难的问题，提出一种基于时域概率的场景分析法，采用CURE聚类法削减全场景数量，然后依次计算全场景的时域概率；提出一种计及源网荷储全协调互动的无功优化策略，通过求解网购电量最小为主要目标的有功优化模型得到集中式储能和可中断负荷的有功功率，以此建立主动配电网无功优化模型，并运用多目标粒子群算法求解，最后以某市一条10 kV配电线路为例验证本文方法的可行性和鲁棒性。

General Coordinated Reactive Power Optimization of Active Distribution Network on the Basis of Scenario Time Domain Probability

In view of the randomness and controllability of wind power and energy storage, reactive power coordinated optimization is difficult. A scene analysis method based on time domain probability is proposed, using CURE clustering method to reduce the total scene number, and calculate the time domain probability of each scene at the same time. A coordinated reactive power optimization method which considering source, network, load, storage in active network is proposed. The active power optimization model based on the minimum power consumption of main online shopping is used to solve energy storage and interruptible load active power. On this basis, a coordinated reactive power optimization model is established. By using the multi-objective particle swarm algorithm,a 10 kV distribution line in a prefecture level city is finallytaken as an example to verify the feasibility and robustness of the proposed method.