Detection and Location of Faults in 11KV Underground Cable by using Continuous Wavelet Transform (CWT)

Abstract

This paper describes a technique to detect, classify and locate faults on an underground cable system based on the principles of continuous wavelet transform (CWT). Due to the fault in the power system a high frequency current and voltage generates and propagate along the power. These generated signals contain a lot of information and can be used for fault detection and location. The high frequency components generated are extracted using the wavelet technique and analysis of the extracted signals is carried. The MATLAB simulink version 7.6 is used to model the underground cable network and faults at various locations are simulated. The resulting waveforms are subjected through a wavelet transform to extract the required signals for analysis. The results show that the wavelet transform is very effective to extract the transient components from the fault signals and detection and location of faults can be done accurately. In this paper three phase 11KV; 100km long cable is considered for the analysis purpose.