IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i15p5772-d1209200.html
   My bibliography  Save this article

Predictive Control of Modular Multilevel Converters: Adaptive Hybrid Framework for Circulating Current and Capacitor Voltage Fluctuation Suppression

Author

Listed:
  • Junda Li

    (School of Electrical Engineering, Shandong University, Jinan 250061, China)

  • Zhenbin Zhang

    (School of Electrical Engineering, Shandong University, Jinan 250061, China)

  • Zhen Li

    (School of Electrical Engineering, Shandong University, Jinan 250061, China)

  • Oluleke Babayomi

    (School of Electrical Engineering, Shandong University, Jinan 250061, China)

Abstract

Modular multilevel converters (MMCs) are widely used in voltage-sourced, converter-based high-voltage DC systems due to their modular design, scalability, and fault tolerance capabilities. In MMCs, multi-variable control objectives can be employed by using model predictive control (MPC) due to its fast dynamic response and ease of implementation. Nonetheless, conventional MPC techniques for MMCs have shortcomings, including high computational requirements, poor circulating current, and capacitor voltage fluctuation suppression. First, this study proposes an adaptive MPC technique that adapts the number of candidate combinations to the steady and transient states, significantly reducing the computational burden. Second, an improved hybrid combination of an MPC with a proportional-resonance (PR) controller enhances the circulating current and capacitor voltage fluctuation suppression performance. According to the phase difference between the circulating current and the capacitor voltage, the circulating current and capacitor voltage can be suppressed at different times by changing the circulating current reference of the PR controller. The switching frequency can be reduced by using the PR controller’s output to adjust the input submodule number instead of changing the duty cycle. The proposed techniques were validated by simulations and experimental case studies with a three-phase grid-connected MMC.

Suggested Citation

  • Junda Li & Zhenbin Zhang & Zhen Li & Oluleke Babayomi, 2023. "Predictive Control of Modular Multilevel Converters: Adaptive Hybrid Framework for Circulating Current and Capacitor Voltage Fluctuation Suppression," Energies, MDPI, vol. 16(15), pages 1-17, August.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5772-:d:1209200
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/15/5772/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/15/5772/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Yantao Liao & Long Jin & Jun You & Zhike Xu & Kaiyuan Liu & Hongbin Zhang & Zhan Shen & Fujin Deng, 2023. "A Novel Voltage Sensorless Estimation Method for Modular Multilevel Converters with a Model Predictive Control Strategy," Energies, MDPI, vol. 17(1), pages 1-16, December.
    2. Zhuoya Wang & Liangliang Hao & Zemin Wang, 2024. "Short-Circuit Current Calculation of Flexible Direct Current Transmission Lines Considering Line Distribution Parameters," Energies, MDPI, vol. 17(15), pages 1-15, August.

    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:16:y:2023:i:15:p:5772-:d:1209200. 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.