This paper proposes the RBWT (reverse biorthogonal-1.5 wavelet transform)-based fault recognition and faulty phase categorization technique for the protection of wind park connected series capacitor compensated three-phase transmission line (WPCSCCTPTL). The single side captured fault currents of the WPCSCCTPTL are used to evaluate the amplitudes of RBWT coefficients at fifth level. To authorize the performance of the proposed technique, a widespread collection of simulation studies have been done thus varying fault type, location, resistance, and switching time. In this work, the performance of the RBWT has been investigated for the evolving faults, the position of fault for the close-in relay faults is varied from 5 km up to 9 km, the position of fault for the far-end relay faults is varied from 195 km up to 199 km, faults at two different positions, the position of fault around the series capacitors are changed and for the variation in wind-turbine units. The benefit of RBWT is that it correctly detects all types of faults in WPCSCCTPTL by employing one-side fault current data only. It is also investigated that the proposed technique is robust to the variation in the fault factors of WPCSCCTPTL.
Keywords: fault recognition, faulty phase categorization, three-phase transmission line protection, reverse biorthogonal-1.5 wavelet transform.
Detection and classification of four phase to ground faults in a 138 kV six phase transmission line using Hilbert Huang transform
