IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v210y2026ip1s0960077926006740.html

AGC of an electric power system utilizing WHO-optimized FOID-FOPTID control scheme

Author

Listed:
  • Choudhary, Ravi
  • Rai, J.N.
  • Arya, Yogendra

Abstract

During peak hours, there is an increase in demand for power, and the supply of power is limited. This leads to an inequality between the power that is delivered and the power that is needed, which causes frequency variations. Automatic generation control, or AGC, is integrated with an appropriate controller and energy storage devices (ESDs) to ensure that power systems operate at a consistent frequency. This study focuses on a realistic linear/nonlinear single-area thermal hydro gas multi-source power system. This work projects a fractional order integral derivative (FOID)-FO proportional tilt ID (FOPTID) structured controller in the design of AGC to maintain power balance in dynamic conditions. Utilizing a recently developed wild horse optimization (WHO) algorithm, the controller parameters are adjusted. The sovereignty of the recommended WHO-optimized FOID-FOPTID controller is recognized over WHO-optimized PID/TID and various recently published results of Integral/PI/PID controllers. Next, the results of the system with various ESDs and hybrid ESDs are investigated. It is observed that redox flow battery (RFB) offers better performance over capacitive energy storage (CES) and superconducting magnetic energy storage (SMES), and hybrid CES-RFB outperforms SMES-CES and SMES-RFB hybrid ESD options. Additionally, variations in system parameters validated the robust behaviour of the suggested control methodology.

Suggested Citation

  • Choudhary, Ravi & Rai, J.N. & Arya, Yogendra, 2026. "AGC of an electric power system utilizing WHO-optimized FOID-FOPTID control scheme," Chaos, Solitons & Fractals, Elsevier, vol. 210(P1).
    • Handle: RePEc:eee:chsofr:v:210:y:2026:i:p1:s0960077926006740
    DOI: 10.1016/j.chaos.2026.118533
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077926006740
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.chaos.2026.118533?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    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:eee:chsofr:v:210:y:2026:i:p1:s0960077926006740. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.