IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i22p8475-d971400.html
   My bibliography  Save this article

Seamless Transition and Fault-Ride-Through by Using a Fuzzy EO PID Controller in AVR System

Author

Listed:
  • Ahmed O. Badr

    (Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11566, Egypt)

  • Soha Mansour

    (Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11566, Egypt)

  • Mariam A. Sameh

    (Electrical Engineering Department, Faculty of Engineering, Future University in Egypt, Cairo 11835, Egypt)

  • Mahmoud A. Attia

    (Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11566, Egypt)

Abstract

One of the most crucial control aspects in electric power networks is ensuring constant voltage levels throughout different circumstances. To overcome this problem, an automatic voltage regulator (AVR) is installed in the electrical power networks to preserve the voltage at its allowable range. In this paper, a fuzzy-based PID controller was used to enhance the AVR dynamic performance under several operating conditions. Moreover, an Equilibrium Optimizer (EO) algorithm was used to initialize the controller gains. The validation of the proposed controller was proven through three different systems. The first was a simple AVR system under fixed and dynamic references. The proposed fuzzy EO PID controller proved its superiority in this case through the reduction of voltage overshoot by around 3–28% compared with the reported methods in the literature. Then, the fault-ride through capability of the proposed controller was proven through the second system, which was the Kundur two-area system suffering from a 3-phase fault condition, where the overshoot with the proposed controller was reduced by 4–7% compared with the default controller and modern weighted method reported in the literature. Lastly, an IEEE 9-bus system performance was tested with the proposed controller under normal, faulty, and dynamic loading conditions. Again, the proposed controller succeeded in reducing the maximum overshoot by around 5% compared with the default controller in the system. Moreover, the proposed controller achieved a seamless transition between the islanding and grid-connected mode of operation.

Suggested Citation

  • Ahmed O. Badr & Soha Mansour & Mariam A. Sameh & Mahmoud A. Attia, 2022. "Seamless Transition and Fault-Ride-Through by Using a Fuzzy EO PID Controller in AVR System," Energies, MDPI, vol. 15(22), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:22:p:8475-:d:971400
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/22/8475/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/22/8475/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Soha Mansour & Ahmed O. Badr & Mahmoud A. Attia & Mariam A. Sameh & Hossam Kotb & Elmazeg Elgamli & Mokhtar Shouran, 2022. "Fuzzy Logic Controller Equilibrium Base to Enhance AGC System Performance with Renewable Energy Disturbances," Energies, MDPI, vol. 15(18), pages 1-18, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Othman A. M. Omar & Mostafa I. Marei & Mahmoud A. Attia, 2023. "Comparative Study of AVR Control Systems Considering a Novel Optimized PID-Based Model Reference Fractional Adaptive Controller," Energies, MDPI, vol. 16(2), pages 1-19, January.
    2. Awadh Ba Wazir & Ahmed Althobiti & Abdullah A. Alhussainy & Sultan Alghamdi & Mahendiran Vellingiri & Thangam Palaniswamy & Muhyaddin Rawa, 2024. "A Comparative Study of Load Frequency Regulation for Multi-Area Interconnected Grids Using Integral Controller," Sustainability, MDPI, vol. 16(9), pages 1-50, May.
    3. Othman A. M. Omar & Ahmed O. Badr & Ibrahim Mohamed Diaaeldin, 2023. "Novel Fractional Order and Stochastic Formulations for the Precise Prediction of Commercial Photovoltaic Curves," Mathematics, MDPI, vol. 11(21), pages 1-19, October.

    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:15:y:2022:i:22:p:8475-:d:971400. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.