IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i24p10357-d460452.html
   My bibliography  Save this article

Black Widow Optimization-Based Optimal PI-Controlled Wind Turbine Emulator

Author

Listed:
  • K. Premkumar

    (Department of EEE, Rajalakshmi Engineering College, Tamilnadu 602105, India)

  • M. Vishnupriya

    (Department of ECE, Saveetha School of Engineering, Tamilnadu 602105, India)

  • Thanikanti Sudhakar Babu

    (Institute of Power Engineering, Department of Electrical Power Engineering, Universiti Tenaga National, Selangor 43000, Malaysia)

  • B. V. Manikandan

    (Department of EEE, Mepco Schlenk Engineering College, Tamilnadu 626005, India)

  • T. Thamizhselvan

    (Department of EEE, Rajalakshmi Engineering College, Tamilnadu 602105, India)

  • A. Nazar Ali

    (Department of EEE, Rajalakshmi Engineering College, Tamilnadu 602105, India)

  • Md. Rabiul Islam

    (School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, Australia)

  • Abbas Z. Kouzani

    (School of Engineering, Deakin University, Geelong, VIC 3216, Australia)

  • M. A. Parvez Mahmud

    (School of Engineering, Deakin University, Geelong, VIC 3216, Australia)

Abstract

In this article, the parameters of the proportional-integral (PI) controller of the wind turbine (WT) emulator, i.e., proportional and integral gain of the PI controller, are optimized using a black widow optimization algorithm (BWOA). The proposed system is developed and analyzed using MATLAB/Simulink environment. The performance of the BWOA optimized PI controller is compared with a BAT algorithm, particle swarm optimization, and genetic algorithm optimized PI controller to measure the effectiveness of the proposed control system. The developed system is tested for different operating conditions such as static wind speed settings, static pitch angle conditions, step-change in wind speed settings, and step-change in pitch angle settings. Finally, the proposed system is realized in real-time by hardware experimentations. The results of the experimentation are compared with simulation results as well. The presented simulation and hardware result shows good agreement, which confirms the effectiveness of the proposed method. Thereby, the proposed optimization-based PI-controlled wind emulator can be recommended for emulating the characteristics of any type of WT with a low-cost system.

Suggested Citation

  • K. Premkumar & M. Vishnupriya & Thanikanti Sudhakar Babu & B. V. Manikandan & T. Thamizhselvan & A. Nazar Ali & Md. Rabiul Islam & Abbas Z. Kouzani & M. A. Parvez Mahmud, 2020. "Black Widow Optimization-Based Optimal PI-Controlled Wind Turbine Emulator," Sustainability, MDPI, vol. 12(24), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10357-:d:460452
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/24/10357/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/24/10357/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aravind Chellachi Kathiresan & Jeyaraj PandiaRajan & Asokan Sivaprakash & Thanikanti Sudhakar Babu & Md. Rabiul Islam, 2020. "An Adaptive Feed-Forward Phase Locked Loop for Grid Synchronization of Renewable Energy Systems under Wide Frequency Deviations," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    2. Martinez, Fernando & Herrero, L. Carlos & de Pablo, Santiago, 2014. "Open loop wind turbine emulator," Renewable Energy, Elsevier, vol. 63(C), pages 212-221.
    3. Wollz, Danilo Henrique & da Silva, Sergio Augusto Oliveira & Sampaio, Leonardo Poltronieri, 2020. "Real-time monitoring of an electronic wind turbine emulator based on the dynamic PMSG model using a graphical interface," Renewable Energy, Elsevier, vol. 155(C), pages 296-308.
    4. Kan, Cihangir & Devrim, Yilser & Eryilmaz, Serkan, 2020. "On the theoretical distribution of the wind farm power when there is a correlation between wind speed and wind turbine availability," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    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. Thirunavukkarasu, M. & Sawle, Yashwant & Lala, Himadri, 2023. "A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    2. Maheshwari, Zeel & Kengne, Kamgang & Bhat, Omkar, 2023. "A comprehensive review on wind turbine emulators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 180(C).

    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. Maheshwari, Zeel & Kengne, Kamgang & Bhat, Omkar, 2023. "A comprehensive review on wind turbine emulators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 180(C).
    2. Castelló, Jaime & Espí, José M. & García-Gil, Rafael, 2016. "Development details and performance assessment of a Wind Turbine Emulator," Renewable Energy, Elsevier, vol. 86(C), pages 848-857.
    3. Eryilmaz, Serkan & Navarro, Jorge, 2022. "A decision theoretic framework for reliability-based optimal wind turbine selection," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    4. Issam A. Smadi & Hanady A. Kreashan & Ibrahem E. Atawi, 2023. "Enhancing the Filtering Capability and the Dynamic Performance of a Third-Order Phase-Locked Loop under Distorted Grid Conditions," Energies, MDPI, vol. 16(3), pages 1-17, February.
    5. Sajadi, Amirhossein & Rosłaniec, Łukasz & Kłos, Mariusz & Biczel, Piotr & Loparo, Kenneth A., 2016. "An emulator for fixed pitch wind turbine studies," Renewable Energy, Elsevier, vol. 87(P1), pages 391-402.
    6. Yan, Jianhu & Feng, Yi & Dong, Jianning, 2016. "Study on dynamic characteristic of wind turbine emulator based on PMSM," Renewable Energy, Elsevier, vol. 97(C), pages 731-736.
    7. Camilo I. Martínez-Márquez & Jackson D. Twizere-Bakunda & David Lundback-Mompó & Salvador Orts-Grau & Francisco J. Gimeno-Sales & Salvador Seguí-Chilet, 2019. "Small Wind Turbine Emulator Based on Lambda-Cp Curves Obtained under Real Operating Conditions," Energies, MDPI, vol. 12(13), pages 1-17, June.
    8. Rajavelu Dharani & Madasamy Balasubramonian & Thanikanti Sudhakar Babu & Benedetto Nastasi, 2021. "Load Shifting and Peak Clipping for Reducing Energy Consumption in an Indian University Campus," Energies, MDPI, vol. 14(3), pages 1-16, January.
    9. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Ye, Hang-ye & Gu, Ya-jing & Liu, Hong-wei, 2015. "Reproduction of five degree-of-freedom loads for wind turbine using equispaced electro-hydraulic actuators," Renewable Energy, Elsevier, vol. 83(C), pages 626-637.
    10. Wollz, Danilo Henrique & da Silva, Sergio Augusto Oliveira & Sampaio, Leonardo Poltronieri, 2020. "Real-time monitoring of an electronic wind turbine emulator based on the dynamic PMSG model using a graphical interface," Renewable Energy, Elsevier, vol. 155(C), pages 296-308.
    11. Ahmed G. Abo-Khalil & Saeed Alyami & Khairy Sayed & Ayman Alhejji, 2019. "Dynamic Modeling of Wind Turbines Based on Estimated Wind Speed under Turbulent Conditions," Energies, MDPI, vol. 12(10), pages 1-25, May.
    12. Rokas Tamašauskas & Jolanta Šadauskienė & Patrikas Bruzgevičius & Dorota Anna Krawczyk, 2019. "Investigation and Evaluation of Primary Energy from Wind Turbines for a Nearly Zero Energy Building (nZEB)," Energies, MDPI, vol. 12(11), pages 1-13, June.
    13. Postnikov, Ivan, 2022. "A reliability assessment of the heating from a hybrid energy source based on combined heat and power and wind power plants," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    14. Pankaj Kumar & Yashwant Kashyap & Roystan Vijay Castelino & Anabalagan Karthikeyan & Manjunatha Sharma K. & Debabrata Karmakar & Panagiotis Kosmopoulos, 2023. "Laboratory-Scale Airborne Wind Energy Conversion Emulator Using OPAL-RT Real-Time Simulator," Energies, MDPI, vol. 16(19), pages 1-30, September.
    15. Prieto-Araujo, E. & Olivella-Rosell, P. & Cheah-Mañe, M. & Villafafila-Robles, R. & Gomis-Bellmunt, O., 2015. "Renewable energy emulation concepts for microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 325-345.
    16. Wei Li & Shinai Xu & Baiyun Qian & Xiaoxia Gao & Xiaoxun Zhu & Zeqi Shi & Wei Liu & Qiaoliang Hu, 2022. "Large-Scale Wind Turbine’s Load Characteristics Excited by the Wind and Grid in Complex Terrain: A Review," Sustainability, MDPI, vol. 14(24), pages 1-29, December.
    17. Bashar Aldbaiat & Mutasim Nour & Eyad Radwan & Emad Awada, 2022. "Grid-Connected PV System with Reactive Power Management and an Optimized SRF-PLL Using Genetic Algorithm," Energies, MDPI, vol. 15(6), pages 1-21, March.
    18. Eryilmaz, Serkan & Bulanık, İrem & Devrim, Yilser, 2021. "Reliability based modeling of hybrid solar/wind power system for long term performance assessment," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    19. Anderson Aparecido Dionizio & Leonardo Poltronieri Sampaio & Sérgio Augusto Oliveira da Silva & Sebastián de Jesús Manrique Machado, 2023. "Grid-Tied Single-Phase Integrated Zeta Inverter for Photovoltaic Applications," Energies, MDPI, vol. 16(9), pages 1-19, April.
    20. Roystan Vijay Castelino & Pankaj Kumar & Yashwant Kashyap & Anabalagan Karthikeyan & Manjunatha Sharma K. & Debabrata Karmakar & Panagiotis Kosmopoulos, 2023. "Exploring the Potential of Kite-Based Wind Power Generation: An Emulation-Based Approach," Energies, MDPI, vol. 16(13), pages 1-22, July.

    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:12:y:2020:i:24:p:10357-:d:460452. 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.