A Non-artificial Setting Method for Fault Feeder Detection Systems Based on Data Fusion Used in Resonant Grounding Systems

Fault line detection timely and accurately when single-phase-to-earth fault occurs in resonant grounding system is paid attention by many researchers. A new approach for fault detection based on data fusion which has non-artificial setting is presented in this paper. First, the fault criterion for interphase difference energy ratio and time-frequency correlation coefficient of each line is proposed. Then, a coordinate system with the interphase difference energy ratio as X axis and the time-frequency correlation coefficient as Y axis is established, and it uses the Euclidean distance algorithm to get the characteristic distance of each line by fusing two-dimensional information. Eventually, the sound distance and the fault distance of each line is compared to discriminate the fault line. The results and adaptability analysis from Electro-Magnetic Transients Program (EMTP) simulation demonstrate the effectiveness and reliability of the proposed scheme.