Optical partial discharge diagnostic in SF6 gas insulated system via multi-spectral detection

Ming Ren; Bo Song; Tianxin Zhuang; Shujing Yang

doi:10.1016/j.isatra.2018.02.008

Optical partial discharge diagnostic in SF₆ gas insulated system via multi-spectral detection

ISA Trans. 2018 Apr:75:247-257. doi: 10.1016/j.isatra.2018.02.008. Epub 2018 Feb 21.

Authors

Ming Ren¹, Bo Song², Tianxin Zhuang², Shujing Yang²

Affiliations

¹ State Key Laboratory of Electrical Insulation for Power Equipment, Xi'an Jiaotong University, 28 Xianning West Road, Beilin District, Xi'an 710049, Shaanxi Province, China. Electronic address: renming@xjtu.edu.cn.
² State Key Laboratory of Electrical Insulation for Power Equipment, Xi'an Jiaotong University, 28 Xianning West Road, Beilin District, Xi'an 710049, Shaanxi Province, China.

PMID: 29475605
DOI: 10.1016/j.isatra.2018.02.008

Abstract

Light emitted from partial discharges (PDs) in SF₆ gas is investigated in the view point of insulation status diagnostics. Light intensity and integral spectrum of PD are proved to have significant correlations with PD activities and the involved dielectric interfaces. Based on synchronous light pulse detections in ultraviolet (UV), visible (VIS) and near-infrared (NIR) regions, the multispectral stochastic PD diagnosis is realized with more information beyond the conventional PD detections. The optical PD detection is also compared with ultra-high frequency (UHF) PD detection and acoustic emission (AE) PD detection in term of linearity, sensitivity and statistical property. Beyond that, a clustering analysis is performed on the multispectral photon counts of different conditions by quantifying them in a ternary diagram where some distinguishable regions emerge for PD recognition.

Keywords: Gas insulated system; Optical diagnosis; Partial discharge; SF(6).