Fault Classification and Localization Scheme for Power Distribution Network

In this paper, a fault protection diagnostic scheme for a power distribution system is proposed. The scheme comprises a wavelet packet decomposition (WPD) for signal processing and analysis and a support vector machine (SMV) for fault classification and location. The scheme is tested on a reduced Eskom 132 kV power line. The WPD is used to extract fault signatures of interest and the SVM is subsequently used for fault classification and locating various fault conditions. Furthermore, we investigate the effectiveness of the SVM scheme using different samples of the cycles for fault classification and location. The results show that the fault classification and location on a distribution line can be determined rapidly and efficiently irrespective of the fault impedance and incipient angle with minimum estimation error. Lastly, the proposed scheme is tested on a grid-integrated system with renewable energy sources.

Automated summary

This paper proposes a fault protection diagnostic scheme for power distribution systems. It combines wavelet packet decomposition (WPD) for signal processing and analysis with support vector machine (SVM) for fault classification and location. The scheme is tested on a real system and shows rapid and efficient fault classification and location.