IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i5p1119-d1598993.html
   My bibliography  Save this article

Inserted Window Recognition Based Capacitor Condition Monitoring Method for MMC Sub-Module with Nearest Level Modulation

Author

Listed:
  • Wenqi Lin

    (State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Jianyu Pan

    (State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

Abstract

The sub-module capacitor is the most vulnerable component in a modular multilevel converter (MMC), and its aging poses a significant challenge to system stability. To accurately monitor capacitor aging, this article utilizes capacitor voltage fluctuations to recognize the inserted window for capacitance calculation using nearest-level modulation. Additionally, a time-slicing method is developed to improve accuracy. The proposed method, which combines the inserted window recognition method with the time-slicing algorithm, offers a simple, easy-implementation approach. Simulations and experimental results validate that the method achieves high accuracy (less than 0.5%). Moreover, it does not require additional sensors, precise extraction of switching signals, or interruption to the system’s normal operation, making it highly suitable for MMC systems with a large number of sub-modules. Furthermore, the proposed method also demonstrates strong robustness in dynamic conditions and can be extended to all sub-modules.

Suggested Citation

  • Wenqi Lin & Jianyu Pan, 2025. "Inserted Window Recognition Based Capacitor Condition Monitoring Method for MMC Sub-Module with Nearest Level Modulation," Energies, MDPI, vol. 18(5), pages 1-19, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:5:p:1119-:d:1598993
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/5/1119/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/5/1119/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huijie Jiang & Fujin Deng & Huailong Li & Jie Tian & Yu Lu & Gang Li, 2024. "A Capacitance Monitoring Strategy Based on Offset Error Compensation for Modular Multilevel Converters," Energies, MDPI, vol. 17(7), pages 1-19, April.
    2. Jianyu Pan & Yihao Du & Ziwei Ke, 2023. "DC-Bus Voltage Sensorless Control of an Active Rectifier with Modular Multilevel Converter," Energies, MDPI, vol. 16(18), pages 1-20, September.
    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.

      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:5:p:1119-:d:1598993. 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: 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.