A Distributed Fault Perception and Segment Diagnosis System for Overhead-Cable Hybrid Transmission Lines

In order to realize the rapid fault identification and accurate segmentation location of hybrid transmission lines, an intelligent monitoring system is designed and constructed in this paper. The system is deployed at the key nodes of overhead-cable hybrid transmission lines, equipped with multi-modal sensing components, and has real-time perception of fault events and high-frequency data collection capabilities. Combined with the waveform similarity analysis algorithm based on Pearson correlation coefficient, the system can effectively extract the change characteristics of the current waveform structure before and after the fault, judge the fault type and power supply mode, and realize the accurate identification of the fault section. This study improves the intelligent diagnosis level of hybrid lines, which is of great significance for improving the operation and maintenance efficiency and reliability of power grid.