IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i21p11593-d660729.html
   My bibliography  Save this article

Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions

Author

Listed:
  • Younes Sahri

    (Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria)

  • Salah Tamalouzt

    (Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria)

  • Sofia Lalouni Belaid

    (Laboratoire de Technologie Industrielle et de l’Information (LTII), Faculté de Technologie, Université de Bejaia, Bejaia 06000, Algeria)

  • Seddik Bacha

    (Univ. Grenoble Alpes, CNRS, Grenoble INP*, G2Elab, F-38000 Grenoble, France)

  • Nasim Ullah

    (Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Ahmad Aziz Al Ahamdi

    (Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Ali Nasser Alzaed

    (Department of Architecture Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

Abstract

A wind turbine (WT)-based doubly fed induction generator (DFIG) is the most often used generator in the wind conversion system market due to its advantages such as the ability of operating under variable wind speed and its high performance. However, nonlinear dynamical and parameter uncertainties of the DFIG make the controller design of this kind of system a challenging work. Thus, in this study, a novel control strategy was proposed to design the desired system dynamics, to highlight the efficacy of the proposed system, and to improve the performance of the closed-loop system. The proposed controller combines the twelve-sector direct torque control (12-DTC) and the fuzzy controller with modified rules to solve the limitations and shortcomings of the usual methods for the WT-DFIG system. All operation modes, successively and continually, were considered to reflect the true operation of WT-DFIG system subject to random wind speeds. The aims of this work was to ensure an optimal operation of the wind generator, extracting maximum power in the zone II of the WT characteristic, and limiting this power in its maximum value in the case (zone III), to transmit the power generated by the DFIG to the grid-side with minimum losses in the disturbances related to DFIG. Extensive numerical simulations were performed under MATALB/Simulink, where the proposed fuzzy twelve direct torque control (F12-DTC) was compared with conventional nonlinear controls: conventional DTC (C-DTC) and 12-DTC. The simulation results demonstrated clearly that the proposed one had the highest performance and robustness, with a significant reduction in rotor flux and electromagnetic torque ripples and better-generated power quality with low currents’ THD over the conventional strategies (C-DTC and 12-DTC).

Suggested Citation

  • Younes Sahri & Salah Tamalouzt & Sofia Lalouni Belaid & Seddik Bacha & Nasim Ullah & Ahmad Aziz Al Ahamdi & Ali Nasser Alzaed, 2021. "Advanced Fuzzy 12 DTC Control of Doubly Fed Induction Generator for Optimal Power Extraction in Wind Turbine System under Random Wind Conditions," Sustainability, MDPI, vol. 13(21), pages 1-23, October.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11593-:d:660729
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/21/11593/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/21/11593/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Younes Sahri & Youcef Belkhier & Salah Tamalouzt & Nasim Ullah & Rabindra Nath Shaw & Md. Shahariar Chowdhury & Kuaanan Techato, 2021. "Energy Management System for Hybrid PV/Wind/Battery/Fuel Cell in Microgrid-Based Hydrogen and Economical Hybrid Battery/Super Capacitor Energy Storage," Energies, MDPI, vol. 14(18), pages 1-32, September.
    2. Merabet Boulouiha, H. & Allali, A. & Laouer, M. & Tahri, A. & Denaï, M. & Draou, A., 2015. "Direct torque control of multilevel SVPWM inverter in variable speed SCIG-based wind energy conversion system," Renewable Energy, Elsevier, vol. 80(C), pages 140-152.
    3. Salah Tamalouzt & Youcef Belkhier & Younes Sahri & Mohit Bajaj & Nasim Ullah & Md. Shahariar Chowdhury & Teerawet Titseesang & Kuaanan Techato, 2021. "Enhanced Direct Reactive Power Control-Based Multi-Level Inverter for DFIG Wind System under Variable Speeds," Sustainability, MDPI, vol. 13(16), pages 1-26, August.
    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. Khoudir Kakouche & Adel Oubelaid & Smail Mezani & Djamila Rekioua & Toufik Rekioua, 2023. "Different Control Techniques of Permanent Magnet Synchronous Motor with Fuzzy Logic for Electric Vehicles: Analysis, Modelling, and Comparison," Energies, MDPI, vol. 16(7), pages 1-28, March.
    2. Ramesh Kumar Behara & Akshay Kumar Saha, 2022. "Artificial Intelligence Control System Applied in Smart Grid Integrated Doubly Fed Induction Generator-Based Wind Turbine: A Review," Energies, MDPI, vol. 15(17), pages 1-56, September.
    3. Fahimeh Shiravani & Jose Antonio Cortajarena & Patxi Alkorta & Oscar Barambones, 2022. "Generalized Predictive Control Scheme for a Wind Turbine System," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    4. Habib Benbouhenni & Zinelaabidine Boudjema & Nicu Bizon & Phatiphat Thounthong & Noureddine Takorabet, 2022. "Direct Power Control Based on Modified Sliding Mode Controller for a Variable-Speed Multi-Rotor Wind Turbine System Using PWM Strategy," Energies, MDPI, vol. 15(10), pages 1-25, May.
    5. Ramesh Kumar Behara & Akshay Kumar Saha, 2022. "Artificial Intelligence Methodologies in Smart Grid-Integrated Doubly Fed Induction Generator Design Optimization and Reliability Assessment: A Review," Energies, MDPI, vol. 15(19), pages 1-39, September.

    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. Hannan, M.A. & Ali, Jamal A. & Mohamed, Azah & Hussain, Aini, 2018. "Optimization techniques to enhance the performance of induction motor drives: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1611-1626.
    2. Chun Yang & Shijun You & Yingzhu Han & Xuan Wang & Ji Li & Lu Wang, 2023. "Research on Optimization Method of Integrated Energy System Network Planning," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
    3. M. Usman Saleem & Mustafa Shakir & M. Rehan Usman & M. Hamza Tahir Bajwa & Noman Shabbir & Payam Shams Ghahfarokhi & Kamran Daniel, 2023. "Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids," Energies, MDPI, vol. 16(12), pages 1-21, June.
    4. Atallah, Ahmed M. & El Tantawy, El Sayed F., 2015. "Direct torque control of machine side multilevel converter for variable speed wind turbines," Energy, Elsevier, vol. 90(P1), pages 1091-1099.
    5. Eunsung Oh, 2022. "Fair Virtual Energy Storage System Operation for Smart Energy Communities," Sustainability, MDPI, vol. 14(15), pages 1-16, August.
    6. Stanisław Jaworski & Mariola Chrzanowska & Monika Zielińska-Sitkiewicz & Robert Pietrzykowski & Aleksandra Jezierska-Thöle & Piotr Zielonka, 2023. "Evaluating the Progress of Renewable Energy Sources in Poland: A Multidimensional Analysis," Energies, MDPI, vol. 16(18), pages 1-21, September.
    7. Cardoso, J.G. & Casella, I.R.S. & Filho, A.J. Sguarezi & Costa, F.F. & Capovilla, C.E., 2016. "SCIG wind turbine wireless controlled using morphological filtering for power quality enhancement," Renewable Energy, Elsevier, vol. 92(C), pages 303-311.
    8. Youcef Belkhier & Nasim Ullah & Ahmad Aziz Al Alahmadi, 2021. "Efficiency Maximization of Grid-Connected Tidal Stream Turbine System: A Supervisory Energy-Based Speed Control Approach with Processor in the Loop Experiment," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
    9. Prabu Subramani & Sugadev Mani & Wen-Cheng Lai & Dineshkumar Ramamurthy, 2022. "Sustainable Energy Management and Control for Variable Load Conditions Using Improved Mayfly Optimization," Sustainability, MDPI, vol. 14(11), pages 1-22, May.
    10. Chaoyang Chen & Hualing Liu & Yong Xiao & Fagen Zhu & Li Ding & Fuwen Yang, 2022. "Power Generation Scheduling for a Hydro-Wind-Solar Hybrid System: A Systematic Survey and Prospect," Energies, MDPI, vol. 15(22), pages 1-31, November.
    11. Florian Rzepka & Philipp Hematty & Mano Schmitz & Julia Kowal, 2023. "Neural Network Architecture for Determining the Aging of Stationary Storage Systems in Smart Grids," Energies, MDPI, vol. 16(17), pages 1-20, August.
    12. Bizon, Nicu, 2018. "Optimal operation of fuel cell/wind turbine hybrid power system under turbulent wind and variable load," Applied Energy, Elsevier, vol. 212(C), pages 196-209.

    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:13:y:2021:i:21:p:11593-:d:660729. 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.