High Impedance Fault Detection on Rural Electrical Distribution System [ READ ]
Shalini S. Ghorpade
High impedance is difficult to identify through conventional protection such as distance or over current relays. Fault location plays very important role in power system engineering in order to clear fault quickly and restore power supply with minimum interruption. The major faults in distribution lines are line to ground fault, line to line fault and three phase faults. In this paper a 100 km, 11KV, 50 Hz power distribution line model is developed using MATLAB to obtain fault voltage and current waveforms. The fault conditions are simulated using MATLAB-SIMULINK and fault detection is implemented with Daubechies wavelets. During the occurrence of faults, the grid current and voltages undergoes transients. Discrete wavelet transform has been applied as a noble technique for non-stationary signal analysis. These transients can be analyzed using discrete wavelet transform and the fault can be classified. The result shows that the algorithm is capable of performing the fault locations with accuracy.
Shalini S. Ghorpade
High impedance is difficult to identify through conventional protection such as distance or over current relays. Fault location plays very important role in power system engineering in order to clear fault quickly and restore power supply with minimum interruption. The major faults in distribution lines are line to ground fault, line to line fault and three phase faults. In this paper a 100 km, 11KV, 50 Hz power distribution line model is developed using MATLAB to obtain fault voltage and current waveforms. The fault conditions are simulated using MATLAB-SIMULINK and fault detection is implemented with Daubechies wavelets. During the occurrence of faults, the grid current and voltages undergoes transients. Discrete wavelet transform has been applied as a noble technique for non-stationary signal analysis. These transients can be analyzed using discrete wavelet transform and the fault can be classified. The result shows that the algorithm is capable of performing the fault locations with accuracy.
