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Study and experimental verification of control tuning strategies in a variable speed wind energy conversion system

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  • Zaragoza, Jordi
  • Pou, Josep
  • Arias, Antoni
  • Spiteri, Cyril
  • Robles, Eider
  • Ceballos, Salvador

Abstract

This paper analyzes and compares different control tuning strategies for a variable speed wind energy conversion system (WECS) based on a permanent-magnet synchronous generator (PMSG). The aerodynamics of the wind turbine (WT) and a PMSG have been modeled. The control strategy used in this research is composed of three regulators, which may be based on either linear or nonlinear controllers. In this analysis, proportional-integral (PI) linear controllers have been used. Two different tuning strategies are analyzed and compared. The main goal is to enhance the overall performance by achieving a low sensitivity to disturbances and minimal overshoot under variable operating conditions. Finally, the results have been verified by an experimental WECS laboratory prototype.

Suggested Citation

  • Zaragoza, Jordi & Pou, Josep & Arias, Antoni & Spiteri, Cyril & Robles, Eider & Ceballos, Salvador, 2011. "Study and experimental verification of control tuning strategies in a variable speed wind energy conversion system," Renewable Energy, Elsevier, vol. 36(5), pages 1421-1430.
    • Handle: RePEc:eee:renene:v:36:y:2011:i:5:p:1421-1430
    DOI: 10.1016/j.renene.2010.11.002
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    References listed on IDEAS

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    1. Cadenas, Erasmo & Rivera, Wilfrido, 2009. "Short term wind speed forecasting in La Venta, Oaxaca, México, using artificial neural networks," Renewable Energy, Elsevier, vol. 34(1), pages 274-278.
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    Cited by:

    1. 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.
    2. Cuauhtemoc Acosta Lúa & Domenico Bianchi & Salvador Martín Baragaño & Mario Di Ferdinando & Stefano Di Gennaro, 2023. "Robust Nonlinear Control of a Wind Turbine with a Permanent Magnet Synchronous Generator," Energies, MDPI, vol. 16(18), pages 1-19, September.
    3. El-Baklish, Shaimaa K. & El-Badawy, Ayman A. & Frison, Gianluca & Diehl, Moritz, 2020. "Nonlinear model predictive pitch control of aero-elastic wind turbine blades," Renewable Energy, Elsevier, vol. 161(C), pages 777-791.
    4. Song, Dongran & Liu, Junbo & Yang, Jian & Su, Mei & Wang, Yun & Yang, Xuebing & Huang, Lingxiang & Joo, Young Hoon, 2020. "Optimal design of wind turbines on high-altitude sites based on improved Yin-Yang pair optimization," Energy, Elsevier, vol. 193(C).
    5. Mensou, Sara & Essadki, Ahmed & Nasser, Tamou & Idrissi, Badre Bououlid & Ben Tarla, Lahssan, 2020. "Dspace DS1104 implementation of a robust nonlinear controller applied for DFIG driven by wind turbine," Renewable Energy, Elsevier, vol. 147(P1), pages 1759-1771.
    6. Martinez, Fernando & Herrero, L. Carlos & de Pablo, Santiago, 2014. "Open loop wind turbine emulator," Renewable Energy, Elsevier, vol. 63(C), pages 212-221.
    7. Maheshwari, Zeel & Kengne, Kamgang & Bhat, Omkar, 2023. "A comprehensive review on wind turbine emulators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 180(C).
    8. Mercado-Vargas, M.J. & Gómez-Lorente, D. & Rabaza, O. & Alameda-Hernandez, E., 2015. "Aggregated models of permanent magnet synchronous generators wind farms," Renewable Energy, Elsevier, vol. 83(C), pages 1287-1298.

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