Research on single-phase line fault detection algorithm based on primary and secondary fusion column switches

The accurate identification and diagnosis of single-phase line faults in distribution networks based on primary and secondary fusion column switches have long been challenging due to the lack of effective detection and protection algorithms, directly impacting the safety of distribution lines. To address this issue, this study investigates the variations in sequence current and line voltage signals on the power source side and load side of single-phase line faults based on composite sequence networks. By leveraging the easily observable characteristics of the magnitude jump of positive and negative sequence currents of the faulted phase, the fault type is indexed. Additionally, the fault location is determined based on the characteristics of line voltage magnitude at different positions along the faulted line. Through Matlab simulation and experimental testing on a test bench, the results demonstrate that the fault detection algorithm, which integrates the variations in sequence current and line voltage magnitudes, can successfully achieve fault localization, laying the foundation for the design of subsequent fault detection schemes with superior performance.