It is necessary to explore and analyze the distribution network line elements that affect the power failure of the distribution network with the numerous line properties and related equipment. Taking the 10 kV distribution line related attribute data of a municipal power supply company of state grid as the sample, a decision tree algorithm model is constructed to obtain the distribution network line related attribute weight, and then the KMeans clustering model is used to verify the model verification results of the distribution network line related attribute. The results show that when the total length of the line is longer and the total capacity of the transformer on the column is higher, the number of distribution line stops is more frequent.%配电网线路属性和相关设备众多, 有必要挖掘分析影响线路停电的配电网线路要素.以国网某地市供电公司10 kV配电线路相关属性数据为样本, 构建了决策树算法模型, 获取配电网线路相关属性权重, 然后运用KMeans聚类模型验证配电网线路相关属性的模型验证结果.结果表明, 在线路总长度较长以及柱上变压器总容量较高时, 配电线路停运次数较频繁.
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