Transmission Line Fault Detection and Classification by using Wavelet MultiresolutionAnalysis: A Review

Abstract

The operation of a power system is a normal operating condition under balanced three phase steady-state. This condition could be changed due to external or internal change in the power system transmission line parameters. When transmission line faults occur, a very large amount of current starts flowing in the system which may be several times of the normal operating current condition. There are so many methods to detect and classify the transmission line faults based on -Feed Forward Artificial Neural Network’s approach, Fuzzy-logic, Wide area measurement technique, Wavelet Transform and ANFIS technique, wavelet– fuzzy combined approach, support vector machine and the combination of various techniques based on soft computing and wavelet transform. In the current work, an exhaustive study has been done based on SVM, wavelet transform and modern techniques.