IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i8p3474-d1124531.html
   My bibliography  Save this article

Modeling and Control of Modular Multilevel Matrix Converter for Low-Frequency AC Transmission

Author

Listed:
  • Zheren Zhang

    (Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Yanqiu Jin

    (Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Zheng Xu

    (Department of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

The modular multilevel matrix converter (M3C) is the core component in low-frequency AC (LFAC) transmission, which is a competitive scheme for offshore wind power integration. In this paper, the M3C control strategy with the reduced switching frequency SM voltage balancing method is proposed. First, based on the conventional αβ0 and dq transformations, the M3C mathematical model is derived. Then, the dual-loop control structure with outer loop and inner loop controllers commonly used in voltage source converters is applied to the M3C. The inner loop controller consists of the current tracking controller in the dq reference frame and the circulating current suppressing controller in the αβ0 reference frame; the outer loop controller is proposed for the offshore wind farm LFAC integration scenario. Additionally, according to the operating characteristics of full-bridge sub-modules (FBSMs), three characteristic variables are defined and a reduced switching frequency SM voltage balancing method based on the nearest level control (NLC) is proposed. Finally, time-domain simulations in PSCAD/EMTDC demonstrate the feasibility of the proposed control strategy.

Suggested Citation

  • Zheren Zhang & Yanqiu Jin & Zheng Xu, 2023. "Modeling and Control of Modular Multilevel Matrix Converter for Low-Frequency AC Transmission," Energies, MDPI, vol. 16(8), pages 1-22, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3474-:d:1124531
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/8/3474/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/8/3474/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Guacira Costa de Oliveira & Renato Machado Monaro & Gilney Damm & Filipe Perez & Miguel Jimenez Carrizosa, 2023. "Bilinear Quadratic Feedback Control of Modular Multilevel Converters," Energies, MDPI, vol. 16(18), pages 1-23, September.
    2. Byeonghyeon An & Junsoo Che & Taehun Kim & Taesik Park, 2024. "Selection of an Optimal Frequency for Offshore Wind Farms," Energies, MDPI, vol. 17(10), pages 1-20, May.

    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:8:p:3474-:d:1124531. 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.