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Identification Strategy Based on Nodes Electrical Distances for Distribution Network Topology

机译:配电网拓扑的基于节点电气距离的识别策略

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Topology automatic identification of power distribution network is the foundation of power flow calculation, state analysis and other advanced applications. Its identification speed and accuracy will indirectly affect the power supply reliability of power distribution network. In this paper, an automatic identification strategy of distribution network is proposed. Firstly, the large distribution network is decomposed into the combination of basic topological units, so as to obtain the static topological structure of distribution network. Then combining with the neural network algorithm, the paper realizes the identification of the branch state change of the distribution network, and achieves the purpose of dynamically updating the real-time change of the distribution network topology. Finally, the effectiveness of the strategy is verified by MATLAB simulation analysis.
机译:配电网的拓扑自动识别是潮流计算,状态分析等先进应用的基础。其识别速度和准确性将间接影响配电网的供电可靠性。本文提出了一种配电网自动识别策略。首先,将大型配电网分解为基本拓扑单元的组合,以获得配电网的静态拓扑结构。然后结合神经网络算法,实现配电网分支状态变化的识别,达到动态更新配电网拓扑结构实时变化的目的。最后,通过MATLAB仿真分析验证了该策略的有效性。

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