IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v327y2025ics0360544225020687.html
   My bibliography  Save this article

Reliability assessment method of wind power DC transmission system based on level fault tree analysis

Author

Listed:
  • Bai, Xueyan
  • Fan, Yanfang
  • Hou, Junjie

Abstract

The wind power direct current transmission system forms an essential constituent of the wind farm, and its reliability bears a direct and profound correlation with the secure and stable operation of the entire wind farm. This paper proposes a reliability assessment method for wind power DC transmission systems based on level fault tree analysis. In consideration of the operational idiosyncrasies of the pivotal equipment, specifically the modular multilevel converter, within the wind power direct current transmission system, the equipment-level fault tree reliability assessment method is utilized to precisely calculate the failure rate, thus proffering solid data underpinnings for the ensuing reliability assessment. Given the intricate electrical interconnections among each component within the wind power direct current transmission system, as well as the characteristic failure rate patterns of these individual elements, by leveraging the system-level fault tree reliability assessment method, an in-depth and comprehensive analysis of the reliability of both the overall system and its constituent parts is carried out. The simulation results unequivocally demonstrate that this method showcases remarkable effectiveness and conspicuous superiority in the relevant research domain.

Suggested Citation

  • Bai, Xueyan & Fan, Yanfang & Hou, Junjie, 2025. "Reliability assessment method of wind power DC transmission system based on level fault tree analysis," Energy, Elsevier, vol. 327(C).
  • Handle: RePEc:eee:energy:v:327:y:2025:i:c:s0360544225020687
    DOI: 10.1016/j.energy.2025.136426
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225020687
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.136426?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.

    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:eee:energy:v:327:y:2025:i:c:s0360544225020687. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.