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Gain-scheduled control of wind turbine exploiting inexact wind speed measurement for full operating range

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  • Yarmohammadi, Mohammad J.
  • Sadeghzadeh, Arash
  • Taghizadeh, Mostafa

Abstract

This note tackles the problem of variable-speed variable-pitch wind turbine control in the whole wind speed range. Gain-scheduled (GS) control strategy is exploited to provide maximum power point tracking operation and to achieve effective pitch angle regulation. The wind turbine is modeled in the form of a linear parameter varying (LPV) system using wind speed as the scheduling parameter to cope with the varying system dynamics. The wind speed measurement errors are systematically considered in the design procedure. Modeling error is handled through employing an induced L2-gain performance criterion. The proposed method results a common gain-scheduled controller for the whole operating region. A benchmark example illustrates the advantages of the presented method.

Suggested Citation

  • Yarmohammadi, Mohammad J. & Sadeghzadeh, Arash & Taghizadeh, Mostafa, 2020. "Gain-scheduled control of wind turbine exploiting inexact wind speed measurement for full operating range," Renewable Energy, Elsevier, vol. 149(C), pages 890-901.
    • Handle: RePEc:eee:renene:v:149:y:2020:i:c:p:890-901
    DOI: 10.1016/j.renene.2019.09.148
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    References listed on IDEAS

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    1. Inthamoussou, Fernando A. & De Battista, Hernán & Mantz, Ricardo J., 2016. "LPV-based active power control of wind turbines covering the complete wind speed range," Renewable Energy, Elsevier, vol. 99(C), pages 996-1007.
    2. ChunLei Yang & Sven Modell, 2013. "Power and performance," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 26(1), pages 101-132, January.
    3. Golnary, Farshad & Moradi, Hamed, 2018. "Design and comparison of quasi continuous sliding mode control with feedback linearization for a large scale wind turbine with wind speed estimation," Renewable Energy, Elsevier, vol. 127(C), pages 495-508.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Tang, Shize & Tian, De & Wu, Xiaoxuan & Huang, Mingyue & Deng, Ying, 2022. "Wind turbine load reduction based on 2DoF robust individual pitch control," Renewable Energy, Elsevier, vol. 183(C), pages 28-40.
    2. José Genaro González-Hernández & Rubén Salas-Cabrera, 2021. "Wind Power Extraction Optimization by Dynamic Gain Scheduling Approximation Based on Non-Linear Functions for a WECS Based on a PMSG," Mathematics, MDPI, vol. 9(17), pages 1-19, August.
    3. Dali, Ali & Abdelmalek, Samir & Bakdi, Azzeddine & Bettayeb, Maamar, 2021. "A new robust control scheme: Application for MPP tracking of a PMSG-based variable-speed wind turbine," Renewable Energy, Elsevier, vol. 172(C), pages 1021-1034.
    4. Saeed Salah & Husain R. Alsamamra & Jawad H. Shoqeir, 2022. "Exploring Wind Speed for Energy Considerations in Eastern Jerusalem-Palestine Using Machine-Learning Algorithms," Energies, MDPI, vol. 15(7), pages 1-16, April.

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    More about this item

    Keywords

    Variable-speed variable-pitch; Wind turbine; Gain-scheduled output feedback; Linear parameter varying; Induced L2 gain performance;
    All these keywords.

    JEL classification:

    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior

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