Improvement and Validation of Single-Phase Ground Fault Line Selection Methods in Distribution Networks

Abstract

This paper investigates single-phase ground faults commonly occurring in China's distribution networks, analyzing their impact on system safety and power supply reliability. Through empirical analysis based on actual 10kV distribution network data, the limitations of traditional fault location methods are evaluated. An improved method combining wavelet transform and support vector machines (SVM) is proposed to enhance detection rate and accuracy under high-resistance ground faults. Experimental results demonstrate that the improved method achieves over 90% fault detection accuracy, significantly outperforming the 85% accuracy of traditional methods. Under complex operating conditions, this approach also exhibits markedly enhanced interference resistance and real-time performance, indicating promising application prospects. This study provides a theoretical foundation and engineering reference for improving fault handling capabilities in distribution networks. Future research is recommended in multi-source data fusion and intelligent algorithms to further advance the level of intelligent fault management.