IDEAS home Printed from https://ideas.repec.org/a/igg/jaec00/v12y2021i2p36-49.html
   My bibliography  Save this article

Performance Estimation of Frequency Regulation for a Micro-Grid Power System Using PSO-PID Controller

Author

Listed:
  • D. Boopathi

    (Paavai Engineering College, India)

  • S. Saravanan

    (Muthyammal Engineering College, India)

  • K. Jagatheesan

    (Paavai Engineering College, India)

  • B. Anand

    (Hindusthan College of Engineering and Technology, India)

Abstract

This paper proposes the particle swarm optimization (PSO) technique-based proportional integral derivative (PID) controller suggested for frequency regulation of a micro grid (MG) system. MG system integrates with thermal power generating units, renewable energy sources (RES) like photovoltaic (PV), wind energy generators (WTG), and Energy storage systems (ESS) such as fuel cell (FC) and battery energy storage system (BESS). Indentifying the supremacy of proposed technique-based controller and supremacy is examined with three objective functions (integral absolute error [IAE], integral time absolute error [ITAE], and integral squared error [ISE]). The results of the system are compared with conventional PID controller results. From the comparison, it is clearly evident that PSO-PID controller gives better performance over conventional methods in terms of various time domain specific parameters such as settling time, peak overshoot, and undershoot. In both methods, ITAE objective function used controller produce more effective response in MG under sudden load demand situation.

Suggested Citation

  • D. Boopathi & S. Saravanan & K. Jagatheesan & B. Anand, 2021. "Performance Estimation of Frequency Regulation for a Micro-Grid Power System Using PSO-PID Controller," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 12(2), pages 36-49, April.
    • Handle: RePEc:igg:jaec00:v:12:y:2021:i:2:p:36-49
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJAEC.2021040103
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Dhanasekaran Boopathi & Kaliannan Jagatheesan & Baskaran Anand & Sourav Samanta & Nilanjan Dey, 2023. "Frequency Regulation of Interlinked Microgrid System Using Mayfly Algorithm-Based PID Controller," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    2. T. K. Bashishtha & V. P. Singh & U. K. Yadav & T. Varshney, 2024. "Reaction Curve-Assisted Rule-Based PID Control Design for Islanded Microgrid," Energies, MDPI, vol. 17(5), pages 1-19, February.

    More about this item

    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:igg:jaec00:v:12:y:2021:i:2:p:36-49. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.