Power line fault detection based on waveform comparison offline location technology

This study proposes a distribution line fault detection and location technology based on waveform comparison, aiming to improve fault detection accuracy and shorten analysis time. This technology collects current data at multiple measurement points on the line and transmits the data to the central system for feature extraction and waveform analysis. When a fault occurs, the correlation coefficient between waveforms is used as a similarity criterion for comparison, to determine the fault and locate it automatically. By establishing a simulation model of the distribution network, single-phase grounding, three-phase grounding, and short-circuit faults are simulated. Experimental results show that under complex working conditions, this technology has a low false alarm rate and high positioning accuracy. Especially in the simulation of conventional distribution networks, when the grounding resistance is low, the waveform correlation coefficient is high, and the fault point can be accurately located; in distributed power distribution networks, this technology can effectively detect and find a variety of faults.