IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i19p5173-d1760834.html
   My bibliography  Save this article

Computational Efficiency–Accuracy Trade-Offs in EMT Modeling of ANPC Converters: Comparative Study and Real-Time HIL Validation

Author

Listed:
  • Xinrong Yan

    (College of Energy Engineering, Zhejiang University, Hangzhou 310027, China
    Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, China)

  • Zhijun Li

    (Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, China)

  • Jiajun Ding

    (Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610213, China)

  • Ping Zhang

    (Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, China)

  • Jia Huang

    (Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, China)

  • Qing Wei

    (Huadian Electric Power Research Institute Co., Ltd., Hangzhou 310030, China)

  • Zhitong Yu

    (Department of Electrical Engineering, Tsinghua University, Beijing 100084, China)

Abstract

With the increasing demands of the grid on power electronic converters, active neutral-point-clamped (ANPC) converters have been widely adopted due to their flexible modulation strategies and wide-range power regulation capabilities. To address grid-integration testing requirements for ANPC converters, this paper comparatively studies three electromagnetic transient (EMT) modeling approaches: switch-state prediction method (SPM), associated discrete circuit (ADC), and time-averaged method (TAM). Steady-state and transient simulations reveal that the SPM model achieves the highest accuracy (error ≤ 0.018%), while the TAM-based switching function model optimizes the efficiency–accuracy trade-off with 6.4× speedup versus traditional methods and acceptable error (≤2.62%). Consequently, the TAM model is implemented in a real-time hardware-in-the-loop (HIL) platform. Validation under symmetrical/asymmetrical grid faults confirms both the model’s efficacy and the controller’s robust fault ride-through capability.

Suggested Citation

  • Xinrong Yan & Zhijun Li & Jiajun Ding & Ping Zhang & Jia Huang & Qing Wei & Zhitong Yu, 2025. "Computational Efficiency–Accuracy Trade-Offs in EMT Modeling of ANPC Converters: Comparative Study and Real-Time HIL Validation," Energies, MDPI, vol. 18(19), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:19:p:5173-:d:1760834
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/19/5173/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/19/5173/
    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:19:p:5173-:d:1760834. 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.