Hwt-dcdi-based approach for fault identification in six-phase power transmission network

Abstract

Determining the identification of faulty phase in six-phase power transmission network (SPPTN) is intricate in comparison with other configurations of transmission network based upon the six-phases. For this issue, the feasible faulty phase is identified with the presented scheme in this study. Haar wavelet transform (HWT) is used to the current data only as a feature extraction tool, and thereafter, a threshold method is used for deciding the faulty phase. To endorse the justification, the scheme is applied to SPPTN model implemented in MATLAB. Faults on SPPTN have been successfully identified by using the fault current measured at the sending end bus of the SPPTN. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.