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A Statistical Analysis to the VLF Tanδ Criteria for Aging Diagnosis in Power Cables

전력케이블 열화진단을 위한 극저주파 탄델타 판정기준의 통계적 해석

  • Jung, Woosung (Department of Electrical Engineering, Mokpo National University) ;
  • Kim, Seongmin (Power Big-data Center, Korea Electric Power Corporation (KEPCO)) ;
  • Lim, Jangseob (Division of Marine Mechatronics, Mokpo National Maritime University) ;
  • Lee, Jin (Department of Electrical Engineering, Mokpo National University)
  • 정우성 (목포대학교 전기공학과) ;
  • 김성민 (한국전력공사 전력빅데이타센터) ;
  • 임장섭 (목포해양대학교 해양메카트로닉스학부) ;
  • 이진 (목포대학교 전기공학과)
  • Received : 2019.09.08
  • Accepted : 2019.09.23
  • Published : 2020.01.01

Abstract

In this study, the objective is to improve the criteria used for statistical comparison of the VLF tanδ (TD) database and failure rate according to water-tree degradation in underground distribution power cables. The aging condition of the KEPCO criteria is divided into 6 levels using the Weibull distribution, and the "failure imminent" condition is quantified by using the statistical end-point of the lifetime parameter of the VLF big-data group obtained from KEPCO. Moreover, new criteria with a 2-dimensional combination of TD, DTD, and a statistical normalized factor are suggested. These criteria exhibit high reproducibility for the detection of cables in an imminent failure state. Consequently, it is expected that the adoption of the extended VLF-2019 criteria will reduce the asset management cost of cable replacement compared to the VLF-2012 criteria of KEPCO.

Keywords

References

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