中文摘要：

概率潮流计算是分析含间歇式分布式电源配电网运行状态的重要工具。配电网中各节点负荷特性以及气候条件等多个变量均具有较强的相关性，为此提出了节点间注入功率相关性的计算方法，并通过Cholesky分解对节点间注入功率解耦，形成了适用于有源配电网的计及节点相关性的概率潮流算法。通过对改造的部分IEEE33节点配电网模型仿真计算，验证了该方法的有效性和准确性，并分析了节点相关性对潮流概率分布的影响。

英文摘要：

Probabilistic load flow calculation is an important tool to analyze the operating state of distribution net- work. Currently the probabilistic load flow calculation of distribution network with batch distributed generation is fa- cing to new problems. Differing from the large scale transmission network, there are strong correlations among load characteristics, climatic conditions and other multiple variables of distribution network nodes. Aimed at this situa- tion the calculation method of node injected power correlation is proposed. Then node injected power is decoupled with the Cholesky decomposition, converting the distribution network probabilistic load flow calculation to the calcu- lation with uncorrelated input random variables. Hence probabilistic load flow calculation method considering the correlation among nodes for active distribution network is formed. The effectiveness and accuracy of the proposed method are proven by the comparative tests in the part of modified IEEE 33-bus distribution network. The impacts of node correlation on load flow probabilistic distribution are investigated by the proposed method.