Fault diagnosis algorithm for distribution line based on wavelet singular entropy and wavelet energy entropy

Based on the superiority of wavelet transform about frequency band division and the detection ability of wavelet entropy in disturbance signal and zero sequence voltage, this paper put forwards an algorithm that identifies fault type effectively and quickly by analyzing the relationship between standard deviation of wavelet singular entropy and wavelet energy entropy before the fault a period and after a period. By using the simulation and on-site data, the proposed algorithm is verified to be effective.