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Active flutter control of the wind turbines using double-pitched blades

Author

Listed:
  • Chen, Bei
  • Hua, Xugang
  • Zhang, Zili
  • Nielsen, Søren R.K.
  • Chen, Zhengqing

Abstract

Classical flutter of a wind turbine blade is a concerned issue to hinder the wind utilization to a large extent. Recent predictions showed a decreasing flutter margin (the ratio of flutter speed to rated rotor speed) with the increase in wind turbine size. To address this issue, a new blade configuration called the double-pitched blade is proposed and analytically investigated for its potential to enhance the flutter suppressing capability of modern large-size wind turbine blades. This new blade comprise an inner part and a tip part, where the tip part can rotate (or pitch) independently with respect to the inner part through a tip actuator commanded by a feedback control law. The aerodynamic loads of blade tip due to the actively controlled rotation of the tip part provide a torque on the inner part, which provides damping for the torsional mode of the wind turbine blade. The effectiveness of this new double-pitched blade for suppressing flutter is verified through a simulation study conducted on a 907-DOF aero-servo-elastic wind turbine model. Parametric studies are performed on two main design parameters, i.e. the length of the tip part and the associated chordwise location of tip shaft with respected to the blade cross section, and flutter control performance are obtained by numerical optimization process. Simulation results show the optimal length of tip part is around 3.3%of blade length, and the associated chordwise location of tip shaft is around 45%of chord length, the flutter amplitude of the conventional blade can be mitigated to around 4%using this double-pitched blade.

Suggested Citation

  • Chen, Bei & Hua, Xugang & Zhang, Zili & Nielsen, Søren R.K. & Chen, Zhengqing, 2021. "Active flutter control of the wind turbines using double-pitched blades," Renewable Energy, Elsevier, vol. 163(C), pages 2081-2097.
  • Handle: RePEc:eee:renene:v:163:y:2021:i:c:p:2081-2097
    DOI: 10.1016/j.renene.2020.10.122
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    References listed on IDEAS

    as
    1. Zili Zhang & Søren R. K. Nielsen & Frede Blaabjerg & Dao Zhou, 2014. "Dynamics and Control of Lateral Tower Vibrations in Offshore Wind Turbines by Means of Active Generator Torque," Energies, MDPI, vol. 7(11), pages 1-27, November.
    2. Wang, Lin & Liu, Xiongwei & Renevier, Nathalie & Stables, Matthew & Hall, George M., 2014. "Nonlinear aeroelastic modelling for wind turbine blades based on blade element momentum theory and geometrically exact beam theory," Energy, Elsevier, vol. 76(C), pages 487-501.
    3. Lanzafame, R. & Messina, M., 2009. "Design and performance of a double-pitch wind turbine with non-twisted blades," Renewable Energy, Elsevier, vol. 34(5), pages 1413-1420.
    4. Mo, Wenwei & Li, Deyuan & Wang, Xianneng & Zhong, Cantang, 2015. "Aeroelastic coupling analysis of the flexible blade of a wind turbine," Energy, Elsevier, vol. 89(C), pages 1001-1009.
    5. Yu, Guohua & Shen, Xin & Zhu, Xiaocheng & Du, Zhaohui, 2011. "An insight into the separate flow and stall delay for HAWT," Renewable Energy, Elsevier, vol. 36(1), pages 69-76.
    6. Yang, Hua & Shen, Wenzhong & Xu, Haoran & Hong, Zedong & Liu, Chao, 2014. "Prediction of the wind turbine performance by using BEM with airfoil data extracted from CFD," Renewable Energy, Elsevier, vol. 70(C), pages 107-115.
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    1. Azael Duran Castillo & Juan C. Jauregui-Correa & Francisco Herbert & Krystel K. Castillo-Villar & Jesus Alejandro Franco & Quetzalcoatl Hernandez-Escobedo & Alberto-Jesus Perea-Moreno & Alfredo Alcayd, 2021. "The Effect of a Flexible Blade for Load Alleviation in Wind Turbines," Energies, MDPI, vol. 14(16), pages 1-15, August.

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