Single-Ended Data Based Fault Classification In Transmission Line Using Discrete Wavelet Transform

The need for electrical energy is rising steadily. To satisfy the growing demand, the electrical network is rapidly expanding. As a result, it makes transmission line faults more likely to occur. It becomes vital to identify and isolate the system’s malfunctioning component in order to stop the significant damages it could create and increase the network’s dependability. The DWT (Discrete Wavelet Transform) method for three phase fault detection is presented in this research using signal analysis. The analysis is done in MATLAB Simulink for unsymmetrical faults like Single Line to Ground (SLG) fault, Double Line to Ground (DLG) fault, Line to Line (LL) fault and three phase to ground fault (LLLG). This method is based on determining the maximum value of coefficients of three phase voltages using signal decomposition technique. Fault types are identified and distinguished from each other based on the maximum value of coefficients calculated for phase voltages foe each phase.