IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i15p11640-d1204530.html
   My bibliography  Save this article

Novel TI λ DND 2 N 2 Controller Application with Equilibrium Optimizer for Automatic Voltage Regulator

Author

Listed:
  • Abdulsamed Tabak

    (Department of Mechatronics Engineering, Faculty of Engineering, Necmettin Erbakan University, Konya 42090, Turkey)

Abstract

Sustainability is important in voltage regulation control in grids and must be done successfully. In this paper, a novel tilt-fractional order integral-derivative with a second order derivative and low-pass filters controller, referred to as TI λ DND 2 N 2 controller, is proposed to enhance the control performance of an automatic voltage regulator (AVR). In this article, the equilibrium optimizer (EO) algorithm is used to optimally determine the eight parameters of the proposed controller. In this study, a function consisting of time domain specifications is used as the objective function. To evaluate the performance of the proposed controller, it is compared with the proportional-integral-derivative (PID), fractional order PID (FOPID), PID accelerator (PIDA), PID plus second order derivative (PIDD 2 ), and hybrid controllers used in previous studies. Then, Bode analysis is performed to determine the achievement of the proposed controller in the frequency domain. Finally, the robustness test is realized to assess the response of the proposed controller against the deterioration of the system parameters. As a result, the proposed controller demonstrates outstanding control performance compared to studies in terms of settling time, rise time and overshoot. The proposed controller shows superior performance not only in frequency domain analysis but also in perturbed system parameters.

Suggested Citation

  • Abdulsamed Tabak, 2023. "Novel TI λ DND 2 N 2 Controller Application with Equilibrium Optimizer for Automatic Voltage Regulator," Sustainability, MDPI, vol. 15(15), pages 1-16, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11640-:d:1204530
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/15/11640/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/15/11640/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Salman Habib & Ghulam Abbas & Touqeer A. Jumani & Aqeel Ahmed Bhutto & Sohrab Mirsaeidi & Emad M. Ahmed, 2022. "Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System," Energies, MDPI, vol. 15(14), pages 1-18, July.
    2. Hiramani Shukla & Srete Nikolovski & More Raju & Ankur Singh Rana & Pawan Kumar, 2022. "A Particle Swarm Optimization Technique Tuned TID Controller for Frequency and Voltage Regulation with Penetration of Electric Vehicles and Distributed Generations," Energies, MDPI, vol. 15(21), pages 1-32, November.
    3. Mihailo Micev & Martin Ćalasan & Diego Oliva, 2020. "Fractional Order PID Controller Design for an AVR System Using Chaotic Yellow Saddle Goatfish Algorithm," Mathematics, MDPI, vol. 8(7), pages 1-22, July.
    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. Abdelhakim Idir & Laurent Canale & Yassine Bensafia & Khatir Khettab, 2022. "Design and Robust Performance Analysis of Low-Order Approximation of Fractional PID Controller Based on an IABC Algorithm for an Automatic Voltage Regulator System," Energies, MDPI, vol. 15(23), pages 1-20, November.
    2. Emad A. Mohamed & Mokhtar Aly & Masayuki Watanabe, 2022. "New Tilt Fractional-Order Integral Derivative with Fractional Filter (TFOIDFF) Controller with Artificial Hummingbird Optimizer for LFC in Renewable Energy Power Grids," Mathematics, MDPI, vol. 10(16), pages 1-33, August.
    3. Shreya Vishnoi & Srete Nikolovski & More Raju & Mukesh Kumar Kirar & Ankur Singh Rana & Pawan Kumar, 2023. "Frequency Stabilization in an Interconnected Micro-Grid Using Smell Agent Optimization Algorithm-Tuned Classical Controllers Considering Electric Vehicles and Wind Turbines," Energies, MDPI, vol. 16(6), pages 1-25, March.
    4. Taha Selim Ustun, 2022. "Power Systems Imitate Nature for Improved Performance Use of Nature-Inspired Optimization Techniques," Energies, MDPI, vol. 15(17), pages 1-2, August.
    5. Sheeraz Iqbal & Salman Habib & Muhammad Ali & Aqib Shafiq & Anis ur Rehman & Emad M. Ahmed & Tahir Khurshaid & Salah Kamel, 2022. "The Impact of V2G Charging/Discharging Strategy on the Microgrid Environment Considering Stochastic Methods," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    6. Mokhtar Aly & Emad A. Mohamed & Abdullah M. Noman & Emad M. Ahmed & Fayez F. M. El-Sousy & Masayuki Watanabe, 2023. "Optimized Non-Integer Load Frequency Control Scheme for Interconnected Microgrids in Remote Areas with High Renewable Energy and Electric Vehicle Penetrations," Mathematics, MDPI, vol. 11(9), pages 1-31, April.
    7. Ghulam Abbas & Aqeel Ahmed Bhutto & Touqeer Ahmed Jumani & Sohrab Mirsaeidi & Mohsin Ali Tunio & Hammad Alnuman & Ahmed Alshahir, 2022. "A Modified Particle Swarm Optimization Algorithm for Power Sharing and Transient Response Improvement of a Grid-Tied Solar PV Based A.C. Microgrid," Energies, MDPI, vol. 16(1), pages 1-14, December.
    8. Hiramani Shukla & Srete Nikolovski & More Raju & Ankur Singh Rana & Pawan Kumar, 2022. "SMES-GCSC Coordination for Frequency and Voltage Regulation in a Multi-Area and Multi-Source Power System with Penetration of Electric Vehicles and Renewable Energy Sources," Energies, MDPI, vol. 16(1), pages 1-27, December.
    9. Faraz Bhurt & Aamir Ali & Muhammad U. Keerio & Ghulam Abbas & Zahoor Ahmed & Noor H. Mugheri & Yun-Su Kim, 2023. "Stochastic Multi-Objective Optimal Reactive Power Dispatch with the Integration of Wind and Solar Generation," Energies, MDPI, vol. 16(13), pages 1-22, June.
    10. 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.
    11. Omer Saleem & Faisal Abbas & Jamshed Iqbal, 2023. "Complex Fractional-Order LQIR for Inverted-Pendulum-Type Robotic Mechanisms: Design and Experimental Validation," Mathematics, MDPI, vol. 11(4), pages 1-21, February.
    12. RamaKoteswara Rao Alla & Kandipati Rajani & Ravindranath Tagore Yadlapalli, 2023. "Design of FOPID controller for higher order MIMO systems using model order reduction," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(5), pages 1660-1670, October.
    13. Hady H. Fayek & Eugen Rusu, 2022. "Novel Combined Load Frequency Control and Automatic Voltage Regulation of a 100% Sustainable Energy Interconnected Microgrids," Sustainability, MDPI, vol. 14(15), pages 1-16, August.

    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:jsusta:v:15:y:2023:i:15:p:11640-:d:1204530. 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.