Fault location of transmission lines by wavelet packet decomposition based on SSSC and EMD

In this paper, a hybrid transmission line fault localization method combining wavelet packet decomposition with TKEO is proposed. Aiming at the problems of modal aliasing and endpoint effect in previous decomposition methods, the empirical modal decomposition is improved by using SSSC to extract the fault current component information; moreover, the instantaneous energy of the fault traveling wave head is calculated by using TKEO for localization, which solves the problem of traveling wave head uncertainty after wavelet packet decomposition. The experimental results show that the method proposed in this paper can effectively locate the faults at different fault types, different ground resistances and different distances with an error of about 10 m, and the accuracy is higher than that of other algorithms. The fault location algorithm has also been evaluated for the effects of shunt FACTS devices, CT saturation, CVT transient, DC offset, cross-country faults, evolving faults, sampling frequency and power swing.