A Novel Fault Identification Strategy of Electronic Transformer in Smart Substation

Abstract

The electronic transformer is the most important data collecting unit within substation, and the reliability of its output signal concerns the realization of substation protection and control function. In view of the similarity of power system signal, this paper proposes a novel strategy based on wavelet algorithm and WVD time-frequency distribution to identify the real-time fault signal of the electronic transformer. Simulation results show that this strategy could effectively identify the fault transformer and guarantee the data accuracy of intelligent application in substation.