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고장데이터를 이용한 대용량 전력설비 통계적 수명분석

Statistical Lifetime Analysis for Large Electric Power Equipments using Failure Data

  • 투고 : 2017.10.10
  • 심사 : 2017.10.29
  • 발행 : 2017.11.01

초록

In this study, the characteristic lifetime of power facilities such as power transformers and GIS were investigated as the basis of power facility asset management. It is difficult to obtain the operation and failure data of the facilities in Korea. Therefore, the number of failures of the electric power facilities was calculated from the operation data and hazard rate shown in the overseas literatures, and the statistical analysis was performed using the Weibull distribution function. As a result of extracting and analyzing the data of the UK National Grid for power transformers, the characteristic lifetime (scale parameter) of 116.45 years was considered to be a very appropriate value for power transformer management and can be used as a comparative data of the analysis of the domestic transformers. As for the GIS, based on the Bays and Bay-Years data and the hazard rate according to the operation years of the 123kV GIS in Germany, it is found out that the characteristic lifetime of GIS is not so meaningful. It is necessary to decide a maintenance strategy and lifetime expectancy considering the characteristics of the design, materials and manufacturing process of GIS.

키워드

참고문헌

  1. CIGRE TB-597, Transmission Asset Risk Management - Progress in Application, Working Group C1.25, July 2014
  2. International Electrotechnical Commission, Strategic asset management of power networks, IEC White Paper, 2015
  3. Mischa Vermeer and Jos Wetzer, Transformer health and risk indexing, including data quality management, CIGRE Session Paper A2-116, 2014
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  5. C. Neumann et al, End of life estimation and optimisation of maintenance of HV switchgear and GIS substations - A study based on probabilistic data analysis, diagnostic measurements and service experience, CIGRE Session Paper, A3-202, 2012
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