Transmission line fault detection and classification using wavelet analysis

The paper proposes a new technique for fast and accurate detection as well as classification of power system faults using modern signal processing techniques The technique involves wavelet analysis of faulty voltage and current waveforms, which are recorded at a suitable monitoring location in multi-bus power system to gather valuable information required in detection and classification of faults. The application of wavelet analysis helps in accurate classification of the various fault patterns. In MATLAB Simulink a multi bus system has been modeled for case study and various possible fault types and their combinations were simulated. The results indicate that the proposed technique is capable of classifying all fault categories including multiple faults.