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Power Control Design for Variable-Speed Wind Turbines

Author

Listed:
  • Yolanda Vidal

    (Control Dynamics and Applications Research Group (CoDAlab), Barcelona College of Industrial Engineering, Polytechnic University of Catalonia, Comte d’Urgell, 187, Barcelona 08036, Spain)

  • Leonardo Acho

    (Control Dynamics and Applications Research Group (CoDAlab), Barcelona College of Industrial Engineering, Polytechnic University of Catalonia, Comte d’Urgell, 187, Barcelona 08036, Spain)

  • Ningsu Luo

    (Modal Intervals and Control Engineering Research Group, Department of Electrical Engineering, Electronics and Automatic Control, Institute of Informatics and Applications, University of Girona, Campus Montilivi, P-IV, Girona 17071, Spain)

  • Mauricio Zapateiro

    (Control Dynamics and Applications Research Group (CoDAlab), Barcelona College of Industrial Engineering, Polytechnic University of Catalonia, Comte d’Urgell, 187, Barcelona 08036, Spain)

  • Francesc Pozo

    (Control Dynamics and Applications Research Group (CoDAlab), Barcelona College of Industrial Engineering, Polytechnic University of Catalonia, Comte d’Urgell, 187, Barcelona 08036, Spain)

Abstract

This paper considers power generation control in variable-speed variable-pitch horizontal-axis wind turbines operating at high wind speeds. A dynamic chattering torque control and a proportional integral (PI) pitch control strategy are proposed and validated using the National Renewable Energy Laboratory wind turbine simulator FAST (Fatigue, Aerodynamics, Structures, and Turbulence) code. Validation results show that the proposed controllers are effective for power regulation and demonstrate high-performances for all other state variables (turbine and generator rotational speeds; and smooth and adequate evolution of the control variables) for turbulent wind conditions. To highlight the improvements of the provided method, the proposed controllers are compared to relevant previously published studies.

Suggested Citation

  • Yolanda Vidal & Leonardo Acho & Ningsu Luo & Mauricio Zapateiro & Francesc Pozo, 2012. "Power Control Design for Variable-Speed Wind Turbines," Energies, MDPI, vol. 5(8), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:8:p:3033-3050:d:19408
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    References listed on IDEAS

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    1. Asier Diaz De Corcuera & Aron Pujana-Arrese & Jose M. Ezquerra & Edurne Segurola & Joseba Landaluze, 2012. "H ∞ Based Control for Load Mitigation in Wind Turbines," Energies, MDPI, vol. 5(4), pages 1-30, April.
    2. Boukhezzar, B. & Lupu, L. & Siguerdidjane, H. & Hand, M., 2007. "Multivariable control strategy for variable speed, variable pitch wind turbines," Renewable Energy, Elsevier, vol. 32(8), pages 1273-1287.
    3. Hassan, H.M. & ElShafei, A.L. & Farag, W.A. & Saad, M.S., 2012. "A robust LMI-based pitch controller for large wind turbines," Renewable Energy, Elsevier, vol. 44(C), pages 63-71.
    4. Kusiak, Andrew & Zhang, Zijun, 2012. "Control of wind turbine power and vibration with a data-driven approach," Renewable Energy, Elsevier, vol. 43(C), pages 73-82.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Leonardo Acho, 2019. "A Proportional Plus a Hysteretic Term Control Design: A Throttle Experimental Emulation to Wind Turbines Pitch Control," Energies, MDPI, vol. 12(10), pages 1-14, May.
    2. Nikita Tomin, 2023. "Robust Reinforcement Learning-Based Multiple Inputs and Multiple Outputs Controller for Wind Turbines," Mathematics, MDPI, vol. 11(14), pages 1-19, July.
    3. Mircea Neagoe & Radu Saulescu & Codruta Jaliu, 2019. "Design and Simulation of a 1 DOF Planetary Speed Increaser for Counter-Rotating Wind Turbines with Counter-Rotating Electric Generators," Energies, MDPI, vol. 12(9), pages 1-19, May.
    4. Jau-Woei Perng & Guan-Yan Chen & Shan-Chang Hsieh, 2014. "Optimal PID Controller Design Based on PSO-RBFNN for Wind Turbine Systems," Energies, MDPI, vol. 7(1), pages 1-19, January.
    5. Davila-Vilchis, J.M. & Mishra, R.S., 2014. "Performance of a hydrokinetic energy system using an axial-flux permanent magnet generator," Energy, Elsevier, vol. 65(C), pages 631-638.
    6. Oscar Barambones & Jose A. Cortajarena & Patxi Alkorta & Jose M. Gonzalez De Durana, 2014. "A Real-Time Sliding Mode Control for a Wind Energy System Based on a Doubly Fed Induction Generator," Energies, MDPI, vol. 7(10), pages 1-22, October.
    7. Qingsong Wang & Shuangxia Niu, 2015. "Electromagnetic Design and Analysis of a Novel Fault-Tolerant Flux-Modulated Memory Machine," Energies, MDPI, vol. 8(8), pages 1-17, August.
    8. Li, Hui & Yang, Chao & Hu, Yaogang & Liao, Xinglin & Zeng, Zheng & Zhe, Chen, 2016. "An improved reduced-order model of an electric pitch drive system for wind turbine control system design and simulation," Renewable Energy, Elsevier, vol. 93(C), pages 188-200.
    9. Dongmyoung Kim & Taesu Jeon & Insu Paek & Wirachai Roynarin & Boonyang Plangklang & Bayasgalan Dugarjav, 2023. "A Study on the Improved Power Control Algorithm for a 100 kW Wind Turbine," Energies, MDPI, vol. 16(2), pages 1-15, January.
    10. Yolanda Vidal & Christian Tutivén & José Rodellar & Leonardo Acho, 2015. "Fault Diagnosis and Fault-Tolerant Control of Wind Turbines via a Discrete Time Controller with a Disturbance Compensator," Energies, MDPI, vol. 8(5), pages 1-17, May.

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