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논문 기본 정보

자료유형
학술저널
저자정보
(Korea Electric Power Corporation Research Institute) (Korea Electric Power Corporation Research Institute) (Mokpo National University) (Mokpo National University) (Korea Electric Power Corporation)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.13 No.1
발행연도
수록면
372 - 378 (7page)

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초록· 키워드

Life management technology is required as the failure risk of aged power transformers increases. Asset management technology is developed to evaluate the remaining life, establish the replacement strategies, and decide the optimal investment based on the reliability and economy of power transformers. The remaining life assessment uses data such as installation, operation, maintenance, refurbishment, and failure of power transformers. The optimal investment also uses data such as maintenance, outage, and social costs. To develop the asset management system for power transformers, determining the degradation parameters related to the aging of power transformers and evaluating the condition of power transformers using these parameters are important. In this study, since 1983, 110,000 Dissolved Gas Analysis (DGA) data have been analyzed to determine the degradation parameters related to the aging of power transformers. The alarm rates of combustible gases (H₂, C₂H₂, C₂H₄, CH₄, and C₂H₆), TCG, CO, and CO₂ were analyzed. The end of life and failure rate (bathtub curve) of power transformers were also calculated based on the failure data from 1981 to 2014. The DGA gases related to discharge, overheating, and insulation degradation were determined based on alarm and failure rates. C₂H₂, C₂H₆, and CO₂ were discharge, oxidation, and insulation degradation parameters related to the aging of power transformers.
#Alarm rate #Degradation parameter #DGA #Failure rate #Power transformer
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목차

  1. Abstract
  2. 1. Introduction
  3. 2. Dissolved Gas Analysis in KEPCO
  4. 3. Failure Rate of Power Transformers in KEPCO
  5. 4. Alarm Rates of DGA due to the Aging of Power Transformer
  6. 5. Conclusion
  7. References

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UCI(KEPA) : I410-ECN-0101-2018-560-001704829