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Risk analysis in low-voltage distribution systems

Author

Listed:
  • Mostafa Aliyari
  • Yonas Z Ayele
  • Abbas Barabadi
  • Enrique Lopez Droguett

Abstract

Electric power distribution is a complex network involving technical challenges from a wide range of sources, a considerable degree of risk and substantial financial resources. Design and maintenance strategies must take account of the risk of failure of distribution components, that is, both the probability of failure and its consequences have to be considered. Historical failure and repair data are essential inputs for risk analysis, since they reflect the actual operational conditions that the system and its components have experienced. Failure and repair data analysis generally aims at decreasing the risk of failure, by providing essential information for maintenance and logistic planning to reduce the probability, as well as the consequence, of failure. Hence, when maintaining and designing distribution networks, it is imperative to identify and quantify all risks – direct financial, health, safety and environmental, and reputation – using the field failure and repair data. However, in the majority of the available literature regarding the failure and repair data analysis of distribution networks, especially the low-voltage distribution, the set of risk analysis principles is not integrated or in some cases is not detailed. The purpose of this article is to propose a methodology for identifying a suitable failure analysis tool for low-voltage distribution by integrating a set of risk analysis principles, as well as the reliability and maintainability estimation. The application of the proposed methodology is demonstrated by a real case study via an evaluation of the power outages data.

Suggested Citation

  • Mostafa Aliyari & Yonas Z Ayele & Abbas Barabadi & Enrique Lopez Droguett, 2019. "Risk analysis in low-voltage distribution systems," Journal of Risk and Reliability, , vol. 233(2), pages 118-138, April.
    • Handle: RePEc:sae:risrel:v:233:y:2019:i:2:p:118-138
    DOI: 10.1177/1748006X18759806
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    References listed on IDEAS

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    1. Louit, D.M. & Pascual, R. & Jardine, A.K.S., 2009. "A practical procedure for the selection of time-to-failure models based on the assessment of trends in maintenance data," Reliability Engineering and System Safety, Elsevier, vol. 94(10), pages 1618-1628.
    2. Stephanie E. Chang & Timothy McDaniels & Jana Fox & Rajan Dhariwal & Holly Longstaff, 2014. "Toward Disaster‐Resilient Cities: Characterizing Resilience of Infrastructure Systems with Expert Judgments," Risk Analysis, John Wiley & Sons, vol. 34(3), pages 416-434, March.
    3. Stanley Kaplan & B. John Garrick, 1981. "On The Quantitative Definition of Risk," Risk Analysis, John Wiley & Sons, vol. 1(1), pages 11-27, March.
    4. Terje Aven & Ortwin Renn, 2009. "On risk defined as an event where the outcome is uncertain," Journal of Risk Research, Taylor & Francis Journals, vol. 12(1), pages 1-11, January.
    5. Catherine E. Althaus, 2005. "A Disciplinary Perspective on the Epistemological Status of Risk," Risk Analysis, John Wiley & Sons, vol. 25(3), pages 567-588, June.
    6. Røed, Willy & Mosleh, Ali & Vinnem, Jan Erik & Aven, Terje, 2009. "On the use of the hybrid causal logic method in offshore risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 445-455.
    7. Mojgan Aalipour & Yonas Zewdu Ayele & Abbas Barabadi, 2016. "Human reliability assessment (HRA) in maintenance of production process: a case study," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(2), pages 229-238, June.
    8. Harry Otway & Detlof von Winterfeldt, 1992. "Expert Judgment in Risk Analysis and Management: Process, Context, and Pitfalls," Risk Analysis, John Wiley & Sons, vol. 12(1), pages 83-93, March.
    9. Aven, Terje, 2012. "The risk concept—historical and recent development trends," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 33-44.
    10. Barabadi, Abbas & Barabady, Javad & Markeset, Tore, 2014. "Application of reliability models with covariates in spare part prediction and optimization – A case study," Reliability Engineering and System Safety, Elsevier, vol. 123(C), pages 1-7.
    11. Barabadi, Abbas & Tobias Gudmestad, Ove & Barabady, Javad, 2015. "RAMS data collection under Arctic conditions," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 92-99.
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