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Detection Approach of Abnormal Discharges Based on Dual-spectral Radiation Characteristics
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Chi ZHANG1, 2, Meng CAO1, 2, Jin HE1, 2, Xuliang ZHU1, 2, Rong CHEN1, 2, Yuyan MAN3
Insulating Materials | 2021, 54(9) : 79 - 85
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Insulating Materials | 2021, 54(9): 79-85
• Insulation Technology •
Detection Approach of Abnormal Discharges Based on Dual-spectral Radiation Characteristics
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Chi ZHANG1, 2, Meng CAO1, 2, Jin HE1, 2, Xuliang ZHU1, 2, Rong CHEN1, 2, Yuyan MAN3
Affiliations
  • 1State Grid Tianjin Electric Power Company Electric Power Research Institute, Tianjin 300384, China
  • 2Tianjin Key Laboratory of Internet of Things in Electricity, Tianjin 300384, China
  • 3State Grid Tianjin Electric Power Company, Tianjin 300232, China
Published: 2021-09-20 doi: 10.16790/j.cnki.1009-9239.im.2021.09.013
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On the basis of radiation spectral characteristics of insulation abnormal discharges, a dual-spectral discharge detection method was proposed. The differences of spectral distribution characteristics under corona discharge, spark discharge, and arc discharge were obtained through experiments, and a dual-spectral sensor based on solid avalanche array was developed. The evolutional relationship between the dual-spectral characteristics and discharge energy was studied using this sensor, and then the discharge hazard quantification criteria based on dual-spectral intensity ratio was summarized. The results show that the light radiation under three kinds of discharge modes has a certain polarity effect. There is a strong correlation between the dual-spectral intensity ratio and the discharge intensity, and there is almost no intersection for the variation range of dual-spectral ratio of low-energy discharge and high-energy discharge, which can be used as an effective criterion to judge partial discharge or arc discharge, and provide a new approach for the optical monitoring and diagnosis of abnormal discharges in equipment.

partial discharge  /  dual-spectral monitoring  /  arc monitoring  /  photoelectric detection  /  spectral analysis
Chi ZHANG, Meng CAO, Jin HE, Xuliang ZHU, Rong CHEN, Yuyan MAN. Detection Approach of Abnormal Discharges Based on Dual-spectral Radiation Characteristics[J]. Insulating Materials, 2021 , 54 (9) : 79 -85 . DOI: 10.16790/j.cnki.1009-9239.im.2021.09.013
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2021.09.013
  • Receive Date：2020-12-16
  • Online Date：2026-03-20
  • Published：2021-09-20
Article Data
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History
  • Received：2020-12-16
  • Revised：2021-03-04
Funding
Affiliations
    1State Grid Tianjin Electric Power Company Electric Power Research Institute, Tianjin 300384, China
    2Tianjin Key Laboratory of Internet of Things in Electricity, Tianjin 300384, China
    3State Grid Tianjin Electric Power Company, Tianjin 300232, China
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https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2021.09.013
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