Transmission Line Fault Detection, Classification and Location using Wavelet Transform

Abstract

This paper present a new algorithm for fault detection, classification and location of overhead transmission line using Wavelet Transform (WT) based Discrete Wavelet Transform (DWT) is proposed. The different system faults such as LG, LLG and LLLG in transmission line should be detect, classify and locate rapidly. The proposed method is based on the voltage and current signal information from the power model in MATLAB to generate the transient voltage and current signal in both time and frequency domain. DWT using “db6” as a mother wavelet is used to capture transient current signals and extract the high frequency detail coefficient for detecting and classifying the fault disturbance. The classification process is based on ground threshold value. The location of faults is carried out by obtaining the fault information from source terminal end to remote terminal end along with the total transmission line length. The proposed method is tested on the MATLAB/SIMULINK environment with the Simulink model. In simulation process the proposed algorithm achieved the fault detection, classification and locate all eleven types of possible fault in transmission line and the result are compared with the AR and MED method.