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A review of failure rate studies in power distribution networks

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  • Mohammad Taghitahooneh

    (Iran University of Science and Technology)

  • Aidin Shaghaghi

    (Iran University of Science and Technology)

  • Reza Dashti

    (Iran University of Science and Technology)

  • Abolfazl Ahmadi

    (Iran University of Science and Technology)

Abstract

This article examines the research carried out regarding the failure rate in electricity distribution systems. It introduces a comprehensive framework for managing failure rates in power distribution systems. This framework highlights that studies on failure rates in power distribution systems can be categorized into three distinct groups: modifying asset management activities in order to reduce failure rate, evaluate and control threats and risks, emergency measures after failure. In this article, all the studies conducted on the failure rate of electricity distribution systems are listed and presented, and categorized in the form of a comprehensive and conceptual framework. The relation of each category with the failure rate is explained and by studying the process of studies, the research gaps and the roadmap of future studies in the field of failure rate in electricity distribution systems are determined.

Suggested Citation

  • Mohammad Taghitahooneh & Aidin Shaghaghi & Reza Dashti & Abolfazl Ahmadi, 2024. "A review of failure rate studies in power distribution networks," 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. 15(8), pages 3571-3584, August.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:8:d:10.1007_s13198-024-02400-0
    DOI: 10.1007/s13198-024-02400-0
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    References listed on IDEAS

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    1. Mohammad Taghi Tahooneh & Reza Dashti, 2022. "A new model for calculating rational failure rates based on network assets worth," 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. 13(5), pages 2221-2233, October.
    2. Frasca, Mattia & Gambuzza, Lucia Valentina, 2021. "Control of cascading failures in dynamical models of power grids," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).
    3. Beshir, M. E., 1989. "Failure modes and reliability modeling of protective systems," Applied Energy, Elsevier, vol. 34(1), pages 35-46.
    4. Yang, Qihui & Scoglio, Caterina M. & Gruenbacher, Don M., 2021. "Robustness of supply chain networks against underload cascading failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    5. R. Kinney & P. Crucitti & R. Albert & V. Latora, 2005. "Modeling cascading failures in the North American power grid," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 46(1), pages 101-107, July.
    6. Belyi, Dmitriy & Popova, Elmira & Morton, David P. & Damien, Paul, 2017. "Bayesian failure-rate modeling and preventive maintenance optimization," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1085-1093.
    7. Roberts, W. Jr. & Mann, L. Jr., 1993. "Failure predictions in repairable multi-component systems," International Journal of Production Economics, Elsevier, vol. 29(1), pages 103-110, February.
    8. Andrés A. Zúñiga & Alexandre Baleia & João Fernandes & Paulo Jose Da Costa Branco, 2020. "Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems," Energies, MDPI, vol. 13(5), pages 1-26, March.
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