Preprint Article Version 1 This version is not peer-reviewed

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

Version 1 : Received: 29 November 2018 / Approved: 30 November 2018 / Online: 30 November 2018 (10:38:18 CET)

How to cite: Zhou, L.; Peng, J.; Xu, Z.; Xia, Z.; Zhou, T. A Non-Artificial Setting Method for Fault Feeder Detection Systems Based on Data Fusion Used in Resonant Grounding Systems. Preprints 2018, 2018110632 (doi: 10.20944/preprints201811.0632.v1). Zhou, L.; Peng, J.; Xu, Z.; Xia, Z.; Zhou, T. A Non-Artificial Setting Method for Fault Feeder Detection Systems Based on Data Fusion Used in Resonant Grounding Systems. Preprints 2018, 2018110632 (doi: 10.20944/preprints201811.0632.v1).

Abstract

Fault line detection timely and accurately when single-phase-to-earth fault occurs in resonant grounding system is still a focus of research. This paper presents a new approach for fault detection based on data fusion and it has non-artificial setting. Firstly, the fault criterion for interphase difference energy ratio and time-frequency correlation coefficient of each line is proposed. Subsequently, the paper establish a coordinate system with the interphase difference energy ratio as X axis and the time-frequency correlation coefficient as Y axis, and it uses the Euclidean distance algorithm to get the characteristic distance of each line by fusing two-dimensional information. Finally, comparing the sound distance and the fault distance of each line to discriminate the fault line. Electromagnetic Transients Program (EMTP) simulation results and adaptability analysis have confirmed the effectiveness and reliability of the proposed scheme.

Subject Areas

fault line detection; data fusion; non-artificial setting; sound distance; fault distance; resonant grounding system

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