IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i20p8997-d1768550.html
   My bibliography  Save this article

Virtual Inertia of Electric Vehicle Fast Charging Stations with Dual Droop Control and Augmented Frequency Support

Author

Listed:
  • Nargunadevi Thangavel Sampathkumar

    (Department of Electrical and Electronics Engineering, CEG Campus, Anna University, Chennai 600025, India)

  • Anbuselvi Shanmugam Velu

    (Department of Electrical and Electronics Engineering, CEG Campus, Anna University, Chennai 600025, India)

  • Brinda Rajasekaran

    (Department of Electrical and Electronics Engineering, CEG Campus, Anna University, Chennai 600025, India)

  • Kumudini Devi Raguru Pandu

    (Department of Electrical and Electronics Engineering, CEG Campus, Anna University, Chennai 600025, India)

Abstract

High penetration of Inverter-Based Resources (IBRs) into the power grid could diminish the rotational inertia offered by a traditional power system and thus impact frequency stability. Several techniques are adopted to provide virtual inertial support to the grid for a short duration in the presence of IBRs. This paper uses the combined inertia support of a Dual Active Bridge (DAB) and a Voltage Source Converter (VSC)-fed Electric Vehicle Fast Charging System (EVFCS) is used to provide virtual inertia support to the grid. The Voltage Source Converter is designed to provide DC bus voltage regulation. Coordinated control of DAB converters and VSCs for mitigating frequency oscillations using cascaded droop-integrated Proportional Integral (PI) controllers is proposed. An aggregated low-frequency model of a DAB converter is considered in this work. The inertia of the DC link capacitor of the VSCs and battery is sequentially extracted to offer grid frequency support. In this work, the single droop control, dual droop control, grid-forming and Augmented Frequency Support (AFS) modes are explored to provide virtual inertia support to the grid.

Suggested Citation

  • Nargunadevi Thangavel Sampathkumar & Anbuselvi Shanmugam Velu & Brinda Rajasekaran & Kumudini Devi Raguru Pandu, 2025. "Virtual Inertia of Electric Vehicle Fast Charging Stations with Dual Droop Control and Augmented Frequency Support," Sustainability, MDPI, vol. 17(20), pages 1-23, October.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:20:p:8997-:d:1768550
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/20/8997/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/20/8997/
    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:jsusta:v:17:y:2025:i:20:p:8997-:d:1768550. 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.