摘要
随着电网智能化程度的提高,对配电网络进行故障诊断是一个迫切需要解决的问题。针对10 kV配电网络,以孤立森林为研究对象,研究其在故障发生前和发生后的准确定位。研究表明,在高噪音、复杂电网数据背景下,孤立森林算法具有很好的异常检测性能。
With the improvement of the intelligence level of the power grid,fault diagnosis of the distribution network is an urgent problem that needs to be solved.For the 10 kV distribution network,taking isolated forests as the research object,study their accurate positioning before and after faults occur.Research has shown that the Isolation Forest algorithm has excellent anomaly detection performance in the context of high noise and complex power grid data.
作者
蔡林宏
陆曦
CAI Linhong;LU Xi(State Grid Jiangsu Electric Power Co.,Ltd.Liyang Power Supply Branch,Liyang 213300,China;Liyang Ruiyuan Electric Power Co.,Ltd.,Liyang 213300,China)
出处
《电工技术》
2025年第S1期158-159,共2页
Electric Engineering
关键词
孤立森林算法
配电网
故障定位
特征提取
智能电网
isolation forest algorithm
distribution network
fault location
feature extraction
smart grid
