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Inverse Aerodynamic Optimization Considering Impacts of Design Tip Speed Ratio for Variable-Speed Wind Turbines

Author

Listed:
  • Zhiqiang Yang

    (School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Minghui Yin

    (School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Yan Xu

    (School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore)

  • Yun Zou

    (School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Zhao Yang Dong

    (China Southern Power Grid Electric Power Research Institute, Guangzhou 510000, China
    School of Electrical and Information Engineering, University of Sydney, Sydney, NSW 2006, Australia)

  • Qian Zhou

    (Jiangsu Electric Power Company Research Institute, Nanjing 211103, China)

Abstract

Because of the slow dynamic behavior of the large-inertia wind turbine rotor, variable-speed wind turbines (VSWTs) are actually unable to keep operating at the design tip speed ratio (TSR) during the maximum power point tracking (MPPT) process. Moreover, it has been pointed out that although a larger design TSR can increase the maximum power coefficient, it also greatly prolongs the MPPT process of VSWTs. Consequently, turbines spend more time operating at the off-design TSRs and the wind energy capture efficiency is decreased. Therefore, in the inverse aerodynamic design of VSWTs, the static aerodynamic performance (i.e., the maximum power coefficient) and the dynamic process of MPPT should be comprehensively modeled for determining an appropriate design TSR. In this paper, based on the inverse design method, an aerodynamic optimization method for VSWTs, fully considering the impacts of the design TSR on the static and dynamic behavior of wind turbines is proposed. In this method, to achieve higher wind energy production, the design TSR, chord length and twist angle are jointly optimized, which is structurally different from the conventional separated design procedure. Finally, the effectiveness of the proposed method is validated by simulation results based on the Bladed software.

Suggested Citation

  • Zhiqiang Yang & Minghui Yin & Yan Xu & Yun Zou & Zhao Yang Dong & Qian Zhou, 2016. "Inverse Aerodynamic Optimization Considering Impacts of Design Tip Speed Ratio for Variable-Speed Wind Turbines," Energies, MDPI, vol. 9(12), pages 1-15, December.
  • Handle: RePEc:gam:jeners:v:9:y:2016:i:12:p:1023-:d:84395
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    References listed on IDEAS

    as
    1. Peter J. Schubel & Richard J. Crossley, 2012. "Wind Turbine Blade Design," Energies, MDPI, vol. 5(9), pages 1-25, September.
    2. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2006. "Wind power potential and characteristic analysis of the Pearl River Delta region, China," Renewable Energy, Elsevier, vol. 31(6), pages 739-753.
    3. Zhiqiang Yang & Minghui Yin & Yan Xu & Zhengyang Zhang & Yun Zou & Zhao Yang Dong, 2016. "A Multi-Point Method Considering the Maximum Power Point Tracking Dynamic Process for Aerodynamic Optimization of Variable-Speed Wind Turbine Blades," Energies, MDPI, vol. 9(6), pages 1-16, May.
    4. Abdullah, M.A. & Yatim, A.H.M. & Tan, C.W. & Saidur, R., 2012. "A review of maximum power point tracking algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3220-3227.
    5. Kim, Bumsuk & Kim, Woojune & Lee, Sanglae & Bae, Sungyoul & Lee, Youngho, 2013. "Developement and verification of a performance based optimal design software for wind turbine blades," Renewable Energy, Elsevier, vol. 54(C), pages 166-172.
    6. Sessarego, Matias & Ramos-García, Néstor & Yang, Hua & Shen, Wen Zhong, 2016. "Aerodynamic wind-turbine rotor design using surrogate modeling and three-dimensional viscous–inviscid interaction technique," Renewable Energy, Elsevier, vol. 93(C), pages 620-635.
    7. Ulas Eminoglu & Saffet Ayasun, 2014. "Modeling and Design Optimization of Variable-Speed Wind Turbine Systems," Energies, MDPI, vol. 7(1), pages 1-18, January.
    8. Yurdusev, M.A. & Ata, R. & Çetin, N.S., 2006. "Assessment of optimum tip speed ratio in wind turbines using artificial neural networks," Energy, Elsevier, vol. 31(12), pages 2153-2161.
    9. Yun-Su Kim & Il-Yop Chung & Seung-Il Moon, 2013. "An Analysis of Variable-Speed Wind Turbine Power-Control Methods with Fluctuating Wind Speed," Energies, MDPI, vol. 6(7), pages 1-16, July.
    10. Pourrajabian, Abolfazl & Nazmi Afshar, Peyman Amir & Ahmadizadeh, Mehdi & Wood, David, 2016. "Aero-structural design and optimization of a small wind turbine blade," Renewable Energy, Elsevier, vol. 87(P2), pages 837-848.
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    Cited by:

    1. Yilmaz, Oktay, 2023. "Low-speed, low induction multi-blade rotor for energy efficient small wind turbines," Energy, Elsevier, vol. 282(C).
    2. Yin, Minghui & Yang, Zhiqiang & Xu, Yan & Liu, Jiankun & Zhou, Lianjun & Zou, Yun, 2018. "Aerodynamic optimization for variable-speed wind turbines based on wind energy capture efficiency," Applied Energy, Elsevier, vol. 221(C), pages 508-521.

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