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Using life curves as input to quantitative risk analysis in electricity distribution system asset management

Author

Listed:
  • D E Nordgärd
  • T M Welte
  • J Heggset

Abstract

Electricity distribution companies are developing asset management strategies where different aspects of risk are addressed, including also intangible risks such as safety and environmental impact. Providing methods for risk-informed decision making is hence an important task. This applies to both risk analysis methods and methods for input data acquisition and preparation. The current paper presents a procedure wherein results from life curves are used as input to a quantitative risk analysis (QRA) model, with the aim to support distribution company asset management decision making. The procedure is illustrated by a case study concerned with safety risk analysis and maintenance strategy for making medium-voltage switch disconnectors in an electricity distribution company.

Suggested Citation

  • D E Nordgärd & T M Welte & J Heggset, 2010. "Using life curves as input to quantitative risk analysis in electricity distribution system asset management," Journal of Risk and Reliability, , vol. 224(2), pages 63-74, June.
    • Handle: RePEc:sae:risrel:v:224:y:2010:i:2:p:63-74
    DOI: 10.1243/1748006XJRR287
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    Cited by:

    1. Shivaie, Mojtaba & Ameli, Mohammad T. & Sepasian, Mohammad S. & Weinsier, Philip D. & Vahidinasab, Vahid, 2015. "A multistage framework for reliability-based distribution expansion planning considering distributed generations by a self-adaptive global-based harmony search algorithm," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 68-81.

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