IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i14p3678-d1699885.html
   My bibliography  Save this article

Utility Transformer DC Bias Caused by Metro Stray Current—A Review

Author

Listed:
  • Adisu Makeyaw

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Xiaofeng Yang

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Xiangxuan Sun

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Ke Liu

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China)

  • Tianyi Wu

    (State Grid Shanghai Electric Power Research Institute, Shanghai 201199, China)

  • Lu Chen

    (State Grid Shanghai Electric Power Research Institute, Shanghai 201199, China)

Abstract

The rapid expansion of the urban rail network has increased concerns regarding stray current generated by the DC traction power supply system. This stray current, which arises from inadequate insulation between the rail and the ground, can cause electrochemical corrosion and operational challenges to nearby buried metallic infrastructures. A portion of stray current entering utility transformers may induce DC bias risk, thereby affecting the stability and reliability of distribution networks. This review studies the trends in utility transformer-related DC bias caused by metro stray current. Various modeling approaches and suppression measures are discussed, with an emphasis on comprehensively understanding stray current distribution behavior, the DC bias coupling loop, and its impacts. This review underscores the need for a thorough evaluation of existing DC bias suppression measures, and more effective and efficient measures must be developed to enhance the resilience of distribution networks. The gaps in current research are highlighted, and further studies are advocated, particularly those focusing on dynamic metro conditions, supported by advanced modeling, field applications, and interdisciplinary collaboration, to address the challenges of DC bias in urban rail environments.

Suggested Citation

  • Adisu Makeyaw & Xiaofeng Yang & Xiangxuan Sun & Ke Liu & Tianyi Wu & Lu Chen, 2025. "Utility Transformer DC Bias Caused by Metro Stray Current—A Review," Energies, MDPI, vol. 18(14), pages 1-33, July.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:14:p:3678-:d:1699885
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/14/3678/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/14/3678/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:18:y:2025:i:14:p:3678-:d:1699885. 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.