IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i3p564-d312642.html
   My bibliography  Save this article

Heuristic Optimization of Virtual Inertia Control in Grid-Connected Wind Energy Conversion Systems for Frequency Support in a Restructured Environment

Author

Listed:
  • Anuoluwapo Oluwatobiloba Aluko

    (Discipline of Electrical, Electronic and Computer Engineering, University of KwaZulu-Natal, Durban 4041, KwaZulu-Natal, South Africa)

  • David George Dorrell

    (Discipline of Electrical, Electronic and Computer Engineering, University of KwaZulu-Natal, Durban 4041, KwaZulu-Natal, South Africa)

  • Rudiren Pillay Carpanen

    (Discipline of Electrical, Electronic and Computer Engineering, University of KwaZulu-Natal, Durban 4041, KwaZulu-Natal, South Africa)

  • Evan E. Ojo

    (Department of Electrical Power Engineering, Durban University of Technology, Durban 4000, KwaZulu-Natal, South Africa)

Abstract

In the work reported in this paper, a novel application of the artificial bee colony algorithm is used to implement a virtual inertia control strategy for grid-connected wind energy conversion systems. The proposed control strategy introduces a new heuristic optimization technique that uses the artificial bee colony (ABC) algorithm to calculate the optimal gain value of an additional derivative control loop added to the control scheme of the machine side converter in a wind energy system to enable wind farms to participate in frequency control as specified by recent grid codes. This helps to minimize the frequency deviations, reduce active power deviation in the system, and increase the penetration level of wind energy in power systems. The study was performed in a restructured power system environment. The proposed control scheme and its robustness were evaluated using load–frequency analysis for three real-life transaction scenarios that can occur in an interconnected open-energy market and the validation was carried out using eigenvalue analysis. The results in this study show that the optimal gain of the proposed controller reduces the frequency deviations and improves stability and overall performance of the system.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:3:p:564-:d:312642
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/3/564/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/3/564/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thongchart Kerdphol & Fathin Saifur Rahman & Yasunori Mitani, 2018. "Virtual Inertia Control Application to Enhance Frequency Stability of Interconnected Power Systems with High Renewable Energy Penetration," Energies, MDPI, vol. 11(4), pages 1-16, April.
    2. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Anuoluwapo Aluko & Andrew Swanson & Leigh Jarvis & David Dorrell, 2022. "Modeling and Stability Analysis of Distributed Secondary Control Scheme for Stand-Alone DC Microgrid Applications," Energies, MDPI, vol. 15(15), pages 1-18, July.
    2. Anuoluwapo Aluko & Elutunji Buraimoh & Oluwafemi Emmanuel Oni & Innocent Ewean Davidson, 2022. "Advanced Distributed Cooperative Secondary Control of Islanded DC Microgrids," Energies, MDPI, vol. 15(11), pages 1-17, May.
    3. Raquel Villena-Ruiz & Andrés Honrubia-Escribano & Emilio Gómez-Lázaro, 2023. "Solar PV and Wind Power as the Core of the Energy Transition: Joint Integration and Hybridization with Energy Storage Systems," Energies, MDPI, vol. 16(6), pages 1-5, March.

    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. Kaleem Ullah & Abdul Basit & Zahid Ullah & Sheraz Aslam & Herodotos Herodotou, 2021. "Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview," Energies, MDPI, vol. 14(9), pages 1-43, April.
    2. Thongchart Kerdphol & Masayuki Watanabe & Yasunori Mitani & Veena Phunpeng, 2019. "Applying Virtual Inertia Control Topology to SMES System for Frequency Stability Improvement of Low-Inertia Microgrids Driven by High Renewables," Energies, MDPI, vol. 12(20), pages 1-16, October.
    3. Rafiq Asghar & Francesco Riganti Fulginei & Hamid Wadood & Sarmad Saeed, 2023. "A Review of Load Frequency Control Schemes Deployed for Wind-Integrated Power Systems," Sustainability, MDPI, vol. 15(10), pages 1-29, May.
    4. Amil Daraz & Suheel Abdullah Malik & Ihsan Ul Haq & Khan Bahadar Khan & Ghulam Fareed Laghari & Farhan Zafar, 2020. "Modified PID controller for automatic generation control of multi-source interconnected power system using fitness dependent optimizer algorithm," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-31, November.
    5. Daraz, Amil, 2023. "Optimized cascaded controller for frequency stabilization of marine microgrid system," Applied Energy, Elsevier, vol. 350(C).
    6. Eleftherios Vlahakis & Leonidas Dritsas & George Halikias, 2019. "Distributed LQR Design for a Class of Large-Scale Multi-Area Power Systems," Energies, MDPI, vol. 12(14), pages 1-28, July.
    7. Ashish Shrestha & Bishal Ghimire & Francisco Gonzalez-Longatt, 2021. "A Bayesian Model to Forecast the Time Series Kinetic Energy Data for a Power System," Energies, MDPI, vol. 14(11), pages 1-15, June.
    8. Natascia Andrenacci & Elio Chiodo & Davide Lauria & Fabio Mottola, 2018. "Life Cycle Estimation of Battery Energy Storage Systems for Primary Frequency Regulation," Energies, MDPI, vol. 11(12), pages 1-24, November.
    9. Athira M. Mohan & Nader Meskin & Hasan Mehrjerdi, 2020. "A Comprehensive Review of the Cyber-Attacks and Cyber-Security on Load Frequency Control of Power Systems," Energies, MDPI, vol. 13(15), pages 1-33, July.
    10. Tingting Cai & Sutong Liu & Gangui Yan & Hongbo Liu, 2019. "Analysis of Doubly Fed Induction Generators Participating in Continuous Frequency Regulation with Different Wind Speeds Considering Regulation Power Constraints," Energies, MDPI, vol. 12(4), pages 1-20, February.
    11. 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.
    12. Ninoslav Holjevac & Tomislav Baškarad & Josip Đaković & Matej Krpan & Matija Zidar & Igor Kuzle, 2021. "Challenges of High Renewable Energy Sources Integration in Power Systems—The Case of Croatia," Energies, MDPI, vol. 14(4), pages 1-20, February.
    13. Abdel-Raheem Youssef & Mohamad Mallah & Abdelfatah Ali & Mostafa F. Shaaban & Essam E. M. Mohamed, 2023. "Enhancement of Microgrid Frequency Stability Based on the Combined Power-to-Hydrogen-to-Power Technology under High Penetration Renewable Units," Energies, MDPI, vol. 16(8), pages 1-18, April.
    14. 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.
    15. Zihao Cheng & Songlin Hu & Jieting Ma, 2020. "Resilient Event-Triggered Control for LFC-VSG Scheme of Uncertain Discrete-Time Power System under DoS Attacks," Energies, MDPI, vol. 13(7), pages 1-21, April.
    16. Solomon Feleke & Balamurali Pydi & Raavi Satish & Degarege Anteneh & Kareem M. AboRas & Hossam Kotb & Mohammed Alharbi & Mohamed Abuagreb, 2023. "DE-Based Design of an Intelligent and Conventional Hybrid Control System with IPFC for AGC of Interconnected Power System," Sustainability, MDPI, vol. 15(7), pages 1-23, March.
    17. Mohammed Alharbi & Muhammad Ragab & Kareem M. AboRas & Hossam Kotb & Masoud Dashtdar & Mokhtar Shouran & Elmazeg Elgamli, 2023. "Innovative AVR-LFC Design for a Multi-Area Power System Using Hybrid Fractional-Order PI and PIDD 2 Controllers Based on Dandelion Optimizer," Mathematics, MDPI, vol. 11(6), pages 1-45, March.
    18. Yifei Wang & Youxin Yuan, 2019. "Inertia Provision and Small Signal Stability Analysis of a Wind-Power Generation System Using Phase-Locked Synchronized Equation," Sustainability, MDPI, vol. 11(5), pages 1-21, March.
    19. Danny Ochoa & Sergio Martinez, 2021. "Analytical Approach to Understanding the Effects of Implementing Fast-Frequency Response by Wind Turbines on the Short-Term Operation of Power Systems," Energies, MDPI, vol. 14(12), pages 1-22, June.
    20. Ana Fernández-Guillamón & Antonio Vigueras-Rodríguez & Emilio Gómez-Lázaro & Ángel Molina-García, 2018. "Fast Power Reserve Emulation Strategy for VSWT Supporting Frequency Control in Multi-Area Power Systems," Energies, MDPI, vol. 11(10), pages 1-20, 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:13:y:2020:i:3:p:564-:d:312642. 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.