IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i19p4948-d1491540.html
   My bibliography  Save this article

Robust Optimal Frequency Response Enhancement Using Energy Storage-Based Grid-Forming Converters

Author

Listed:
  • Sharara Rehimi

    (Department of Electrical Engineering, Graduate School of Engineering, Nagoya University, Nagoya 464-0814, Japan)

  • Hassan Bevrani

    (Smart/Micro Grids Research Center, Department of Electrical Engineering, University of Kurdistan, Sanandaj 1517566177, Iran)

  • Hadi Tarimoradi

    (Smart/Micro Grids Research Center, Department of Electrical Engineering, University of Kurdistan, Sanandaj 1517566177, Iran)

  • Chiyori T. Urabe

    (Department of Electrical Engineering, Graduate School of Engineering, Nagoya University, Nagoya 464-0814, Japan)

  • Takeyoshi Kato

    (Department of Electrical Engineering, Graduate School of Engineering, Nagoya University, Nagoya 464-0814, Japan)

  • Toshiji Kato

    (Department of Electrical Engineering, Graduate School of Engineering, Doshisha University, Kyoto 610-0321, Japan)

Abstract

To enhance frequency and active power control performance, this research proposes a decentralized robust optimal tuning approach for power grid frequency regulation support using energy storage systems (ESSs) as the primary source of grid-forming (GFM) converters. The proposed approach employs the robust Kharitonov theory to find a family of stabilizing sets of a proportional-integral (PI)-based supplementary controller, which is used in the outer control layer of the GFM control system. A family of stabilizing parameter sets is found in the presence of system uncertainties and disturbances that are common in power grid operation. Then, using a developed Bayesian optimization algorithm, an optimal set of parameters is determined among the mentioned family member sets. The proposed sophisticated combination of a robust control theorem and an optimization algorithm provides a promising solution for the robust and optimal tuning of control system parameters in ESS-based GFM converters. The efficacy of the proposed method is demonstrated via simulation and laboratory real-time experiment results for a given detailed case study.

Suggested Citation

  • Sharara Rehimi & Hassan Bevrani & Hadi Tarimoradi & Chiyori T. Urabe & Takeyoshi Kato & Toshiji Kato, 2024. "Robust Optimal Frequency Response Enhancement Using Energy Storage-Based Grid-Forming Converters," Energies, MDPI, vol. 17(19), pages 1-19, October.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:19:p:4948-:d:1491540
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/19/4948/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/19/4948/
    Download Restriction: no
    ---><---

    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:17:y:2024:i:19:p:4948-:d:1491540. 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.