麦家怡,侯祖锋,梁苑,刘谋君,姚芳.基于高性能神经网络的配电网自主故障定位算法研究[J].电测与仪表,2025,62(12):81-90. MAI Jiayi,HOU Zufeng,LIANG Yuan,LIU Moujun,YAO Fang.Research on Autonomous Fault Location Algorithm for Distribution Network Based on High Performance Neural Network[J].Electrical Measurement & Instrumentation,2025,62(12):81-90.
基于高性能神经网络的配电网自主故障定位算法研究
Research on Autonomous Fault Location Algorithm for Distribution Network Based on High Performance Neural Network
Due to the influence of various noises and interferences on the fault current signal of the distribution network, the characteristics of the fault signal are complex and varied, making fault location difficult. Therefore, a fault location algorithm for distribution network automation based on high-performance neural network technology is proposed. Install feeder terminal units (FTUs) in each section of the distribution network to collect fault current signals and implement filtering processing to remove noise. Extract marginal spectral features from the processed fault current signal, which can effectively reflect the frequency domain characteristics of the fault. Build a high-performance neural network model and implement training, using marginal spectral features as inputs for the trained high-performance neural network. Output the state types of distribution network sections, and use the sections with faults as localization results. The experimental results show that under the application of the studied method, the high-performance neural network localization results are consistent with the actual fault location, proving that the neural network model exhibits high accuracy and reliability in fault localization tasks.
