IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i5p595-d97154.html
   My bibliography  Save this article

High-Gain Disturbance Observer-Based Robust Load Frequency Control of Power Systems with Multiple Areas

Author

Listed:
  • Ismi Rosyiana Fitri

    (Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea)

  • Jung-Su Kim

    (Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea)

  • Hwachang Song

    (Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea)

Abstract

This paper proposes a high-gain disturbance observer (HDOB)-based controller for load frequency control (LFC) of power systems with multiple areas. The main goal of LFC problem is to maintain the frequency to its nominal value. The objective of this paper is to reject frequency variations due to abrupt load changes and diverse uncertainties (e.g., inertia and damping parameters, and interconnection topology, etc.) by employing the HDOB for the LFC. The simulation results demonstrate the effectiveness of the proposed HDOB-based LFC by showing that it successfully rejects frequency variations owing to load changes and frequency variations occurring in various locations in interconnected power systems. Besides, it is shown that the proposed LFC can eliminate frequency deviations although there are delays in transmission among the power systems with multiple areas.

Suggested Citation

  • Ismi Rosyiana Fitri & Jung-Su Kim & Hwachang Song, 2017. "High-Gain Disturbance Observer-Based Robust Load Frequency Control of Power Systems with Multiple Areas," Energies, MDPI, vol. 10(5), pages 1-21, April.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:5:p:595-:d:97154
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/5/595/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/5/595/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Yekui Chang & Rao Liu & Yu Ba & Weidong Li, 2018. "A New Control Logic for a Wind-Area on the Balancing Authority Area Control Error Limit Standard for Load Frequency Control," Energies, MDPI, vol. 11(1), pages 1-20, January.
    2. In Hyuk Kim & Young Ik Son, 2020. "Design of a Low-Order Harmonic Disturbance Observer with Application to a DC Motor Position Control," Energies, MDPI, vol. 13(5), pages 1-17, February.
    3. Hassan Haes Alhelou & Mohamad-Esmail Hamedani-Golshan & Reza Zamani & Ehsan Heydarian-Forushani & Pierluigi Siano, 2018. "Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review," Energies, MDPI, vol. 11(10), pages 1-35, September.
    4. Anuoluwapo Oluwatobiloba Aluko & David George Dorrell & Rudiren Pillay Carpanen & Evan E. Ojo, 2020. "Heuristic Optimization of Virtual Inertia Control in Grid-Connected Wind Energy Conversion Systems for Frequency Support in a Restructured Environment," Energies, MDPI, vol. 13(3), pages 1-28, January.
    5. Raja M. Imran & D. M. Akbar Hussain & Bhawani Shanker Chowdhry, 2018. "Parameterized Disturbance Observer Based Controller to Reduce Cyclic Loads of Wind Turbine," Energies, MDPI, vol. 11(5), pages 1-13, May.

    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:10:y:2017:i:5:p:595-:d:97154. 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.