IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i18p6557-d909707.html
   My bibliography  Save this article

A Novel Model-Free Predictive Control for T-Type Three-Level Grid-Tied Inverters

Author

Listed:
  • Zheng Yin

    (School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China)

  • Cungang Hu

    (School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China)

  • Kui Luo

    (State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Beijing 100192, China)

  • Tao Rui

    (School of Internet, Anhui University, Hefei 230601, China)

  • Zhuangzhuang Feng

    (School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China)

  • Geye Lu

    (Department of Electrical Engineering, Tsinghua University, Beijing 100190, China)

  • Pinjia Zhang

    (School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China
    Department of Electrical Engineering, Tsinghua University, Beijing 100190, China)

Abstract

The model-free predictive control (MFPC) scheme is an effective scheme to enhance the parameter robustness of model predictive control. However, the MFPC scheme can be affected by the current gradient updating frequency. This paper proposes an improved MFPC scheme for a T-type three-level inverter. First, a novel current gradient updating method is designed to estimate all current gradients per control period, which uses the current gradient relationship between different voltage vectors and eliminates the effect of current gradients updating stagnation. Moreover, a sector judgment method based on the current gradient is proposed. Redundant small vectors are accurately judged and the computational burden is greatly reduced. Finally, simulation and experimental comparisons on a T-type three-level inverter verify the effectiveness of the proposed MFPC scheme.

Suggested Citation

  • Zheng Yin & Cungang Hu & Kui Luo & Tao Rui & Zhuangzhuang Feng & Geye Lu & Pinjia Zhang, 2022. "A Novel Model-Free Predictive Control for T-Type Three-Level Grid-Tied Inverters," Energies, MDPI, vol. 15(18), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6557-:d:909707
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/18/6557/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/18/6557/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Yan Yang & Yeqin Wang & Weixing Zhang & Zhenghao Li & Rui Liang, 2022. "Design of Adaptive Fuzzy Sliding-Mode Control for High-Performance Islanded Inverter in Micro-Grid," Energies, MDPI, vol. 15(23), pages 1-25, December.
    2. Tito G. Amaral & Vitor Fernão Pires & Armando Cordeiro & Daniel Foito & João F. Martins & Julia Yamnenko & Tetyana Tereschenko & Liudmyla Laikova & Ihor Fedin, 2023. "Incipient Fault Diagnosis of a Grid-Connected T-Type Multilevel Inverter Using Multilayer Perceptron and Walsh Transform," Energies, MDPI, vol. 16(6), pages 1-18, March.

    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:15:y:2022:i:18:p:6557-:d:909707. 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.