Published Paper Details:

Fault detection , classification and location in transmission lines using discrete wavelength transmission is presented in this study. To improve the power quality of the transmission lines, compensation circuits are integrated. In order to increase the reliability of the system , it is of immense important to classify and locate the fault rapidly and to isolate the faulty section precisely. Detection and classification of some types of faults is based on the information covered by the wavelength analysis of power systems . Maximum norm value and energy of the signals detects the fault and detail coefficient classifies the fault into different types such as L-G ,L-L-G ,L-L-L . In this dissertation, wavelet transform has been used for classification and location of various types of faults with different inception angles on double circuit series compensated transmission line with different compensation levels in both the lines. Flow chart for fault classification has been proposed . Fault location error has been tabulated for various types of faults with different distances , inception angles and different compensation levels on line1 and line2. Fault detection techniques are discussed on the basis of feature extraction. After the overall concepts and general ideas are presented; works as well as new progress in this paper.