IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i7p2538-d783420.html
   My bibliography  Save this article

Lightning Failure Risk Assessment of Overhead Transmission Lines Based on Modified Dempster–Shafer Theory

Author

Listed:
  • Jie Liu

    (State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China)

  • Boyan Jia

    (State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China)

  • Zhimeng Zhang

    (State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China)

  • Zimo Wang

    (Hebei Provincial Key Laboratory of Power Equipment Security Defense, North China Electric Power University, Baoding 071003, China)

  • Ping Wang

    (Hebei Provincial Key Laboratory of Power Equipment Security Defense, North China Electric Power University, Baoding 071003, China)

  • Jianghai Geng

    (Hebei Provincial Key Laboratory of Power Equipment Security Defense, North China Electric Power University, Baoding 071003, China)

Abstract

Lightning has a certain degree of potential threat to the safe operation of overhead transmission lines. In order to make targeted lightning protection arrangements and reduce the impact of lightning on overhead transmission lines, it is necessary to conduct lightning risk assessments on overhead transmission lines. This paper proposes a lightning failure risk assessment method for overhead transmission lines based on a modified Dempster–Shafer theory. First, analyze the historical lightning failure data of the line, determine the lightning failure impact factors, and use confidence to express the relationship between the lightning failure and the impact factor; then, use entropy weight theory and gray relational theory to calculate the value of mass function, and modify it on this basis; finally, use Dempster–Shafer theory to determine the trust degree and fit this with the calculated lightning trip rate to produce the risk assessment. This paper analyzes the lightning failure data of overhead transmission lines in some areas of Hebei Province. The results show that, compared with the evaluation method of the Dempster–Shafer theory, the accuracy of the evaluation is improved to a certain extent after correcting the mass function value. It can be seen that this method can integrate and comprehensively consider different data and can provide a reference for preventing damage to transmission lines by lightning strike weather.

Suggested Citation

  • Jie Liu & Boyan Jia & Zhimeng Zhang & Zimo Wang & Ping Wang & Jianghai Geng, 2022. "Lightning Failure Risk Assessment of Overhead Transmission Lines Based on Modified Dempster–Shafer Theory," Energies, MDPI, vol. 15(7), pages 1-10, March.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2538-:d:783420
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/7/2538/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/7/2538/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rongquan Fan & Wenhui Zeng & Ziqiang Ming & Wentao Zhang & Ruirui Huang & Junyong Liu, 2023. "Risk Reliability Assessment of Transmission Lines under Multiple Natural Disasters in Modern Power Systems," Energies, MDPI, vol. 16(18), pages 1-14, September.

    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:gam:jeners:v:15:y:2022:i:7:p:2538-:d:783420. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.