LAPSE:2018.0882
Published Article

LAPSE:2018.0882
Statistical Analysis of Partial Discharges in SF₆ Gas via Optical Detection in Various Spectral Ranges
November 27, 2018
Abstract
Partial discharge (PD) detection is essential to the operation of high-voltage systems. In this context, we investigate the basic characteristics of light emission during PDs in SF₆ gas from the perspective of insulation diagnosis. A synchronous system is constructed using three optical photoelectric instruments with separate wavelength responses in the ultraviolet (UV, 189⁻352 nm), visible (VIS, 381⁻675 nm), and near-infrared (NIR, 737⁻920 nm) spectral ranges and a wide-band PD current pulse detector with a response of 1 pC. The results indicate that light emission depends upon the type of insulation defect and discharge energy. An increase in PD charge gives rise to more components in the spectral range from UV to VIS, and the presence of an insulator surface in discharges yields a more complex VIS-to-NIR spectrum. The phase-resolved partial discharge pattern (PRPD) of UV light pulses can reasonably reflect the electroluminescence process in the presence of the insulator surface and weak corona at negative voltage points. The PRPD of VIS light describes the features of the actual PD pattern in most cases. In comparison with the other two spectral ranges, light intensity in the VIS range is more sensitive to changes in gas-pressure-normalized voltage (Vrms/p). The linear fitting analysis of the relationships between the light intensity and PD charge shows that UV light detection has a greater sensitivity to the PD charge and that UV detection exhibits a greater degree of linearity. NIR detection is applicable only to severe PDs. We believe that our findings can significantly aid in application of optical PD diagnosis in SF₆ gas insulated systems.
Partial discharge (PD) detection is essential to the operation of high-voltage systems. In this context, we investigate the basic characteristics of light emission during PDs in SF₆ gas from the perspective of insulation diagnosis. A synchronous system is constructed using three optical photoelectric instruments with separate wavelength responses in the ultraviolet (UV, 189⁻352 nm), visible (VIS, 381⁻675 nm), and near-infrared (NIR, 737⁻920 nm) spectral ranges and a wide-band PD current pulse detector with a response of 1 pC. The results indicate that light emission depends upon the type of insulation defect and discharge energy. An increase in PD charge gives rise to more components in the spectral range from UV to VIS, and the presence of an insulator surface in discharges yields a more complex VIS-to-NIR spectrum. The phase-resolved partial discharge pattern (PRPD) of UV light pulses can reasonably reflect the electroluminescence process in the presence of the insulator surface and weak corona at negative voltage points. The PRPD of VIS light describes the features of the actual PD pattern in most cases. In comparison with the other two spectral ranges, light intensity in the VIS range is more sensitive to changes in gas-pressure-normalized voltage (Vrms/p). The linear fitting analysis of the relationships between the light intensity and PD charge shows that UV light detection has a greater sensitivity to the PD charge and that UV detection exhibits a greater degree of linearity. NIR detection is applicable only to severe PDs. We believe that our findings can significantly aid in application of optical PD diagnosis in SF₆ gas insulated systems.
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Keywords
gas insulated switchgear, optical diagnosis, partial discharge, phase-resolved partial discharge, SF6
Subject
Suggested Citation
Ren M, Dong M, Liu J. Statistical Analysis of Partial Discharges in SF₆ Gas via Optical Detection in Various Spectral Ranges. (2018). LAPSE:2018.0882
Author Affiliations
Ren M: State Key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China; Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
Dong M: State Key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China
Liu J: State Key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China
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Dong M: State Key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China
Liu J: State Key Laboratory of Electrical Insulation for Power Equipment, Xi’an Jiaotong University, Xi’an 710049, China
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Journal Name
Energies
Volume
9
Issue
3
Article Number
E152
Year
2016
Publication Date
2016-03-02
ISSN
1996-1073
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Original Submission
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PII: en9030152, Publication Type: Journal Article
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LAPSE:2018.0882
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https://doi.org/10.3390/en9030152
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[v1] (Original Submission)
Nov 27, 2018
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Calvin Tsay
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