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Integrating risk analysis and multi-criteria decision support under uncertainty in electricity distribution system asset management

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  • Catrinu, M.D.
  • NordgÃ¥rd, D.E.

Abstract

Asset managers in electricity distribution companies generally recognize the need and the challenge of adding structure and a higher degree of formal analysis into the increasingly complex asset management decisions. This implies improving the present asset management practice by making the best use of the available data and expert knowledge and by adopting new methods for risk analysis and decision support and nevertheless better ways to document the decisions made.

Suggested Citation

  • Catrinu, M.D. & NordgÃ¥rd, D.E., 2011. "Integrating risk analysis and multi-criteria decision support under uncertainty in electricity distribution system asset management," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 663-670.
    • Handle: RePEc:eee:reensy:v:96:y:2011:i:6:p:663-670
    DOI: 10.1016/j.ress.2010.12.028
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    References listed on IDEAS

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    1. JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, September.
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    4. Nordgård, D.E. & Sand, K., 2010. "Application of Bayesian networks for risk analysis of MV air insulated switch operation," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1358-1366.
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    Cited by:

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    2. Wang, Q. & Poh, K.L., 2014. "A survey of integrated decision analysis in energy and environmental modeling," Energy, Elsevier, vol. 77(C), pages 691-702.
    3. Dursun, Mahir & Çuhadar, İsmet, 2018. "Risk based multi criteria decision making for secure image transfer between unmanned air vehicle and ground control station," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 31-39.
    4. Luo, Jianing & Li, Hangxin & Wang, Shengwei, 2022. "A quantitative reliability assessment and risk quantification method for microgrids considering supply and demand uncertainties," Applied Energy, Elsevier, vol. 328(C).
    5. Lima, Eliana Sangreman & Costa, Ana Paula Cabral Seixas, 2019. "Improving Asset Management under a regulatory view," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    6. Fang, Jianguang & Gao, Yunkai & Sun, Guangyong & Xu, Chengmin & Li, Qing, 2015. "Multiobjective robust design optimization of fatigue life for a truck cab," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 1-8.
    7. Li, Yanfu & Zio, Enrico, 2012. "Uncertainty analysis of the adequacy assessment model of a distributed generation system," Renewable Energy, Elsevier, vol. 41(C), pages 235-244.
    8. Zhou, Jian-Lan & Yu, Ze-Tai & Xiao, Ren-Bin, 2022. "A large-scale group Success Likelihood Index Method to estimate human error probabilities in the railway driving process," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    9. Pombo, A. Vieira & Murta-Pina, João & Pires, V. Fernão, 2015. "Multiobjective planning of distribution networks incorporating switches and protective devices using a memetic optimization," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 101-108.
    10. Hamilton, Michelle C. & Lambert, James H. & Connelly, Elizabeth B. & Barker, Kash, 2016. "Resilience analytics with disruption of preferences and lifecycle cost analysis for energy microgrids," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 11-21.

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