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Optimization of sizing parameters and multi-objective control of trailing edge flaps on a smart rotor

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  • Zhang, Wenguang
  • Bai, Xuejian
  • Wang, Yifeng
  • Han, Yue
  • Hu, Yong

Abstract

In this study, a wind turbine model with a smart rotor is presented to optimize the sizing parameters of the trailing edge flap (TEF) and design the multi-objective TEF controller. The proposed model consists of TEF actuators, and the aerodynamic, applied load, structural, drive chain, and generator models. Additionally, under standard wind turbine control, the present model shows good agreements with FAST at different wind conditions. At the rated steady wind condition, the TEFs yield exactly the same effects as those elicited by FAST. An approach is proposed using two orthogonal experiments to optimize the TEF sizing parameters for maximizing the TEF effects on blade load alleviation and wind turbine output power smoothness. As a result, a group of optimal TEF sizing parameters is obtained. A multi-objective TEF controller adopting multivariable dynamic matrix control (M–DMC) and nonlinear dynamic matrix control (N–DMC) is used to control the flapwise blade root moment and output power. The simulations indicate that the average reduction rates of the flapwise root moment power spectral density (PSD) of blade 1 are within the range of 87–97% at 1 P frequency, and that the average reduction rate of the generator power standard deviation is within the range of 8–42%.

Suggested Citation

  • Zhang, Wenguang & Bai, Xuejian & Wang, Yifeng & Han, Yue & Hu, Yong, 2018. "Optimization of sizing parameters and multi-objective control of trailing edge flaps on a smart rotor," Renewable Energy, Elsevier, vol. 129(PA), pages 75-91.
    • Handle: RePEc:eee:renene:v:129:y:2018:i:pa:p:75-91
    DOI: 10.1016/j.renene.2018.05.091
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    References listed on IDEAS

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    1. 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.
    2. Chen, Z.J. & Stol, K.A. & Mace, B.R., 2017. "Wind turbine blade optimisation with individual pitch and trailing edge flap control," Renewable Energy, Elsevier, vol. 103(C), pages 750-765.
    3. Zhang, Mingming & Tan, Bin & Xu, Jianzhong, 2015. "Parameter study of sizing and placement of deformable trailing edge flap on blade fatigue load reduction," Renewable Energy, Elsevier, vol. 77(C), pages 217-226.
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    Cited by:

    1. Li, Juan & Wang, Yinan & Lin, Shuyue & Zhao, Xiaowei, 2022. "Nonlinear modelling and adaptive control of smart rotor wind turbines," Renewable Energy, Elsevier, vol. 186(C), pages 677-690.
    2. Md Zishan Akhter & Farag Khalifa Omar, 2021. "Review of Flow-Control Devices for Wind-Turbine Performance Enhancement," Energies, MDPI, vol. 14(5), pages 1-35, February.
    3. Zhuang, Chen & Yang, Gang & Zhu, Yawei & Hu, Dean, 2020. "Effect of morphed trailing-edge flap on aerodynamic load control for a wind turbine blade section," Renewable Energy, Elsevier, vol. 148(C), pages 964-974.

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