05-01-2016, 02:12 PM
transmission line fault detection using wavelet transform matlab simulation
Abstract—this paper focused on identification of simple power system faults using wavelet based analysis of transmission line parameter disturbances. The major faults in transmission lines are line to ground fault, line to line fault and three phase faults. These faults can be identified and classified using discrete wavelet transform. During the occurrence of faults, the grid current and voltages undergoes transients. These transients can be analyzed using discrete wavelet transform and the fault can be classified. The maximum detail coefficient, energy of the signal and the ratio of energy change of each phase currents are calculated from the transients produced by each phases due to faults using discrete wavelet transform (DWT) and thus detecting and classifying transmission system faults. MATLAB Simulation results presented here validates the component models and the chosen fault detection scheme.
Abstract—this paper focused on identification of simple power system faults using wavelet based analysis of transmission line parameter disturbances. The major faults in transmission lines are line to ground fault, line to line fault and three phase faults. These faults can be identified and classified using discrete wavelet transform. During the occurrence of faults, the grid current and voltages undergoes transients. These transients can be analyzed using discrete wavelet transform and the fault can be classified. The maximum detail coefficient, energy of the signal and the ratio of energy change of each phase currents are calculated from the transients produced by each phases due to faults using discrete wavelet transform (DWT) and thus detecting and classifying transmission system faults. MATLAB Simulation results presented here validates the component models and the chosen fault detection scheme.
