IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v15y2024i8d10.1007_s13198-024-02400-0.html
   My bibliography  Save this article

A review of failure rate studies in power distribution networks

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-024-02400-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-024-02400-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Frasca, Mattia & Gambuzza, Lucia Valentina, 2021. "Control of cascading failures in dynamical models of power grids," Chaos, Solitons & Fractals, Elsevier, vol. 153(P2).
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. Beshir, M. E., 1989. "Failure modes and reliability modeling of protective systems," Applied Energy, Elsevier, vol. 34(1), pages 35-46.
    7. 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.
    8. Noppada Teera-achariyakul & Dulpichet Rerkpreedapong, 2022. "Optimal Preventive Maintenance Planning for Electric Power Distribution Systems Using Failure Rates and Game Theory," Energies, MDPI, vol. 15(14), pages 1-19, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ouyang, Bo & Teng, Zhaosheng & Tang, Qiu, 2016. "Dynamics in local influence cascading models," Chaos, Solitons & Fractals, Elsevier, vol. 93(C), pages 182-186.
    2. Qingchun Li & Shangjia Dong & Ali Mostafavi, 2019. "Modeling of inter-organizational coordination dynamics in resilience planning of infrastructure systems: A multilayer network simulation framework," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-21, November.
    3. Wu, Congcong & Gao, Xiangyun & Xi, Xian & Zhao, Yiran & Li, Yu, 2021. "The stability optimization of the international lithium trade," Resources Policy, Elsevier, vol. 74(C).
    4. Vahid Mojtahed & Carlo Giupponi & Claudio Biscaro & Animesh K. Gain & Stefano Balbi, 2013. "Integrated Assessment of Natural Hazards and Climate-Change Adaptation: II. The SERRA Methodology," Working Papers 2013:07, Department of Economics, University of Venice "Ca' Foscari".
    5. Nguyen, Tung T. & Budzinski, Roberto C. & Pasini, Federico W. & Delabays, Robin & Mináč, Ján & Muller, Lyle E., 2023. "Broadcasting solutions on networked systems of phase oscillators," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    6. Kim, Seon-Yong & Kim, Man-Keun & Choi, Myung Hwan & Kim, Dae-Wook, 2024. "Optimal preventive maintenance: Balancing reliability and costs in the electricity market," Energy Policy, Elsevier, vol. 194(C).
    7. Sam Langfield & Kimmo Soramäki, 2016. "Interbank Exposure Networks," Computational Economics, Springer;Society for Computational Economics, vol. 47(1), pages 3-17, January.
    8. Guo, Hengdao & Zheng, Ciyan & Iu, Herbert Ho-Ching & Fernando, Tyrone, 2017. "A critical review of cascading failure analysis and modeling of power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 9-22.
    9. Ravago, Majah-Leah V. & Jandoc, Karl Robert & Pormon, Miah Maye, 2023. "Reliability and forced outages: Survival analysis with recurrent events," Japan and the World Economy, Elsevier, vol. 68(C).
    10. Trivik Verma & Wendy Ellens & Robert E. Kooij, 2015. "Context-independent centrality measures underestimate the vulnerability of power grids," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 11(1), pages 62-81.
    11. H Jönsson & J Johansson & H Johansson, 2008. "Identifying critical components in technical infrastructure networks," Journal of Risk and Reliability, , vol. 222(2), pages 235-243, June.
    12. Xia, Yongxiang & Wang, Cong & Shen, Hui-Liang & Song, Hainan, 2020. "Cascading failures in spatial complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    13. J. Lorenz & S. Battiston & F. Schweitzer, 2009. "Systemic risk in a unifying framework for cascading processes on networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 71(4), pages 441-460, October.
    14. Antonio Pievatolo & Fabrizio Ruggeri & Refik Soyer & Simon Wilson, 2021. "Decisions in Risk and Reliability: An Explanatory Perspective," Stats, MDPI, vol. 4(2), pages 1-23, March.
    15. Zio, E. & Golea, L.R. & Sansavini, G., 2012. "Optimizing protections against cascades in network systems: A modified binary differential evolution algorithm," Reliability Engineering and System Safety, Elsevier, vol. 103(C), pages 72-83.
    16. Zhang, Hai-Feng & Wang, Hao-Ren & Xiang, Bing-Bing & Wang, Huan, 2024. "Robustness study of hybrid hypergraphs," Reliability Engineering and System Safety, Elsevier, vol. 252(C).
    17. Kashin Sugishita & Yasuo Asakura, 2021. "Vulnerability studies in the fields of transportation and complex networks: a citation network analysis," Public Transport, Springer, vol. 13(1), pages 1-34, March.
    18. Huang, Wencheng & Zhou, Bowen & Yu, Yaocheng & Sun, Hao & Xu, Pengpeng, 2021. "Using the disaster spreading theory to analyze the cascading failure of urban rail transit network," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    19. Fei Xue & Yingyu Xu & Huaiying Zhu & Shaofeng Lu & Tao Huang & Jinling Zhang, 2017. "Structural Evaluation for Distribution Networks with Distributed Generation Based on Complex Network," Complexity, Hindawi, vol. 2017, pages 1-10, October.
    20. Jingjing Kong & Slobodan P. Simonovic & Chao Zhang, 2019. "Resilience Assessment of Interdependent Infrastructure Systems: A Case Study Based on Different Response Strategies," Sustainability, MDPI, vol. 11(23), pages 1-31, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:15:y:2024:i:8:d:10.1007_s13198-024-02400-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.