Pattern Recognition Approach for Fault Identification in Power Transmission Lines

This paper presents an improved algorithm for fault detection and classification of transmission line fault current signals using MATLAB/SIMULINK. The proposed algorithm presents a fault discrimination method based on the three-phase current and voltage waveforms measured when fault events occur in the power transmission-line network. The algorithm for fault classification employs wavelet multi resolution analysis (MRA) to overcome the difficulties associated with conventional voltage and current based measurements due to effect of factors such as fault inception angle, fault impedance and fault distance. The proposed algorithm for fault location, different from conventional algorithms that are based on deterministic computations on a well-defined model to be protected, employs wavelet transform. The wavelet transform captures the dynamic characteristics of the non-stationary transient fault signals using wavelet MRA coefficients