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Generalized Predictive Control Scheme for a Wind Turbine System

Author

Listed:
  • Fahimeh Shiravani

    (Engineering School of Gipuzkoa, University of the Basque Country, Otaola Hirib. 29, 20600 Eibar, Spain)

  • Jose Antonio Cortajarena

    (Engineering School of Gipuzkoa, University of the Basque Country, Otaola Hirib. 29, 20600 Eibar, Spain)

  • Patxi Alkorta

    (Engineering School of Gipuzkoa, University of the Basque Country, Otaola Hirib. 29, 20600 Eibar, Spain)

  • Oscar Barambones

    (Engineering School of Vitoria, University of the Basque Country, Nieves Cano 12, 01006 Vitoria, Spain)

Abstract

In this paper, a generalized predictive control scheme for wind energy conversion systems that consists of a wind turbine and a doubly-fed induction generator is proposed. The design is created by using the maximum power point tracking theory to maximize the extracted wind power, even when the turbine is uncertain or the wind speed varies abruptly. The suggested controller guarantees compliance with current constraints by applying them in the regulator’s conceptual design process to assure that the rotor windings are not damaged due to the over-current. This GPC speed control solves the optimization problem based on the truncated Newton minimization method. Finally, simulation results, which are obtained through the Matlab/Simulink software, show the effectiveness of the proposed speed regulator compared to the widely used Proportional-integral controller for DFIG.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8865-:d:866937
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    References listed on IDEAS

    as
    1. 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.
    2. Mohamed Abdelrahem & Christoph Hackl & Ralph Kennel & Jose Rodriguez, 2021. "Low Sensitivity Predictive Control for Doubly-Fed Induction Generators Based Wind Turbine Applications," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    3. Belmokhtar, K. & Doumbia, M.L. & Agbossou, K., 2014. "Novel fuzzy logic based sensorless maximum power point tracking strategy for wind turbine systems driven DFIG (doubly-fed induction generator)," Energy, Elsevier, vol. 76(C), pages 679-693.
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    Cited by:

    1. Amina Mseddi & Omar Naifar & Mohamed Rhaima & Lassaad Mchiri & Abdellatif Ben Makhlouf, 2023. "Robust Control for Torque Minimization in Wind Hybrid Generators: An H ∞ Approach," Mathematics, MDPI, vol. 11(16), pages 1-23, August.

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