Study Various Methods and Use Wavelet Transform for Fault Detection and Classification of Underground Transmission Line by Using MATLAB

Underground cables are being faced with a  wide variety of faults due to underground conditions, wear and tear, etc. Diagnosing fault source is difficult and the entire cable should be taken out from the ground to check and fix faults. This paper presents the details of faults and the Wavelet transform-based technique for fault detection, classification in the Underground transmission line.  Due to the fault in the power system, a high-frequency current and voltage generate and propagate along with 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 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 presented model is user friendly and can be used as a common platform for both control and power system engineers. The accuracy of the wavelet transform scheme is 100%.