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Probabilistic Load Flow Calculation Considering Nodes Correlation of Active Distribution Network

机译:考虑主动配电网节点关联的概率潮流计算

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摘要

Probabilistic load flow calculation is an important tool to analyze the operating state of active distribution network. There are strong correlations among load characteristics, climatic conditions and other multiple variables of distribution network nodes, aimed at which the calculation method of node injected power correlation is proposed. Node injected power is decoupled with the Cholesky decomposition, converting the distribution network probabilistic load flow calculation to the calculation with uncorrelated input random variables. Hence probabilistic load flow calculation method considering nodes correlation of active distribution network is formed. The effectiveness and accuracy of the proposed method is proven by the comparative tests in the part of modified IEEE 33-bus distribution network. The impacts of nodes correlation on load flow probabilistic distribution are investigated by the proposed method.
机译:概率潮流计算是分析有源配电网运行状态的重要工具。配电网节点的负荷特性,气候条件和其他多个变量之间具有很强的相关性,针对此,提出了节点注入功率相关性的计算方法。节点注入的功率与Cholesky分解解耦,将配电网的概率潮流计算转换为不相关的输入随机变量的计算。因此,形成了一种考虑主动配电网节点相关性的概率潮流计算方法。通过在改进的IEEE 33总线配电网络中进行的比较测试,证明了该方法的有效性和准确性。该方法研究了节点相关性对潮流概率分布的影响。

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