A method for single-phase fault state grounding diagnosis of distribution lines considering waveform similarity and random matrix

There is a diversity of grounding faults in distribution network lines, and different types of faults may lead to different states and signal changes. Therefore, a fault state grounding diagnosis method for distribution lines based on waveform similarity and random matrix is proposed. The principle of waveform similarity is used to determine whether the single-phase fault current is abnormal. By using the random feature matrix, the time series of the original fault data set is calculated, and the location of the fault point and the specific category of transmission fault is determined by identifying the fault spectrum of the data current and voltage signal. The single-terminal method and double-terminal method are used to diagnose the single-phase grounding fault of the distribution network accurately. The experimental results show that there is no confusion among the various fault features extracted by this method, and the application effect is better.