IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v129y2018ipap75-91.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118306165
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2018.05.091?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    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. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    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. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. Yang, J.J. & He, E.M., 2020. "Coupled modeling and structural vibration control for floating offshore wind turbine," Renewable Energy, Elsevier, vol. 157(C), pages 678-694.
    5. Azizi, Askar & Nourisola, Hamid & Shoja-Majidabad, Sajjad, 2019. "Fault tolerant control of wind turbines with an adaptive output feedback sliding mode controller," Renewable Energy, Elsevier, vol. 135(C), pages 55-65.
    6. Haojie Kang & Bofeng Xu & Xiang Shen & Zhen Li & Xin Cai & Zhiqiang Hu, 2023. "Comparison of Blade Aeroelastic Responses between Upwind and Downwind of 10 MW Wind Turbines under the Shear Wind Condition," Energies, MDPI, vol. 16(6), pages 1-13, March.
    7. Novaes Menezes, Eduardo José & Araújo, Alex Maurício & Rohatgi, Janardan Singh & González del Foyo, Pedro Manuel, 2018. "Active load control of large wind turbines using state-space methods and disturbance accommodating control," Energy, Elsevier, vol. 150(C), pages 310-319.
    8. Vianna Neto, Júlio Xavier & Guerra Junior, Elci José & Moreno, Sinvaldo Rodrigues & Hultmann Ayala, Helon Vicente & Mariani, Viviana Cocco & Coelho, Leandro dos Santos, 2018. "Wind turbine blade geometry design based on multi-objective optimization using metaheuristics," Energy, Elsevier, vol. 162(C), pages 645-658.
    9. Gorle, J.M.R. & Chatellier, L. & Pons, F. & Ba, M., 2019. "Modulated circulation control around the blades of a vertical axis hydrokinetic turbine for flow control and improved performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 363-377.
    10. Tang, Di & Bao, Shiyi & Luo, Lijia & Mao, Jianfeng & Lv, Binbin & Guo, Hongtao, 2017. "Study on the aeroelastic responses of a wind turbine using a coupled multibody-FVW method," Energy, Elsevier, vol. 141(C), pages 2300-2313.
    11. Ebrahimi, Abbas & Sekandari, Mahmood, 2018. "Transient response of the flexible blade of horizontal-axis wind turbines in wind gusts and rapid yaw changes," Energy, Elsevier, vol. 145(C), pages 261-275.
    12. Wen, Binrong & Tian, Xinliang & Dong, Xingjian & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2019. "A numerical study on the angle of attack to the blade of a horizontal-axis offshore floating wind turbine under static and dynamic yawed conditions," Energy, Elsevier, vol. 168(C), pages 1138-1156.
    13. Dai, Juchuan & Li, Mimi & Chen, Huanguo & He, Tao & Zhang, Fan, 2022. "Progress and challenges on blade load research of large-scale wind turbines," Renewable Energy, Elsevier, vol. 196(C), pages 482-496.
    14. Zhang, Mingming & Tan, Bin & Xu, Jianzhong, 2016. "Smart fatigue load control on the large-scale wind turbine blades using different sensing signals," Renewable Energy, Elsevier, vol. 87(P1), pages 111-119.
    15. Zhang, Mingming & Li, Xin & Tong, Jingxin & Xu, Jianzhong, 2020. "Load control of floating wind turbine on a Tension-Leg-Platform subject to extreme wind condition," Renewable Energy, Elsevier, vol. 151(C), pages 993-1007.
    16. Fatehi, Mostafa & Nili-Ahmadabadi, Mahdi & Nematollahi, Omid & Minaiean, Ali & Kim, Kyung Chun, 2019. "Aerodynamic performance improvement of wind turbine blade by cavity shape optimization," Renewable Energy, Elsevier, vol. 132(C), pages 773-785.
    17. Zhang, Mingming & Yang, Honglei & Xu, Jianzhong, 2017. "Numerical investigation of azimuth dependent smart rotor control on a large-scale offshore wind turbine," Renewable Energy, Elsevier, vol. 105(C), pages 248-256.
    18. Zhang, Mingming & Li, Xin & Xu, Jianzhong, 2019. "Smart control of fatigue loads on a floating wind turbine with a tension-leg-platform," Renewable Energy, Elsevier, vol. 134(C), pages 745-756.
    19. Wang, Lin & Liu, Xiongwei & Kolios, Athanasios, 2016. "State of the art in the aeroelasticity of wind turbine blades: Aeroelastic modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 195-210.
    20. Win Naung, Shine & Rahmati, Mohammad & Farokhi, Hamed, 2021. "Nonlinear frequency domain solution method for aerodynamic and aeromechanical analysis of wind turbines," Renewable Energy, Elsevier, vol. 167(C), pages 66-81.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:129:y:2018:i:pa:p:75-91. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.