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The optimization and the application for the wind turbine power-wind speed curve

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  • Fan, Zhixin
  • Zhu, Caichao

Abstract

An optimized wind turbine power-wind speed curve (P-v curve) was presented in this paper to solve the problems in the low-wind-speed regions like the large wind speed variation and the low wind turbine efficiency. When the wind speed was lower than the cut-in wind speed, the operation mode of the wind turbine was changed by the extra power supplied by the motor excitation source to keep the wind turbine operating. The application condition of the optimized P-v curve was derived and calculated. The effects of various wind speeds on the powers and the power generation of the wind turbine were analyzed by comparison with and without the improvement. The results indicated that the prolonged working period, the improved efficiency of the wind turbine and the incremental power generation were induced by the usage of the optimized P-v curve. The cut-in wind speed was declined by 42.8%. The power generation was enhanced by 73.4% at the actual wind condition of some wind field. The motor power was augmented with the huge amplitude of the wind speed. Compared with the traditional P-v curve, the optimized P-v curve was more suitable for the lower average and larger amplitude of the wind speed.

Suggested Citation

  • Fan, Zhixin & Zhu, Caichao, 2019. "The optimization and the application for the wind turbine power-wind speed curve," Renewable Energy, Elsevier, vol. 140(C), pages 52-61.
    • Handle: RePEc:eee:renene:v:140:y:2019:i:c:p:52-61
    DOI: 10.1016/j.renene.2019.03.051
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    References listed on IDEAS

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    Cited by:

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    2. Miguel Á. Rodríguez-López & Emilio Cerdá & Pablo del Rio, 2020. "Modeling Wind-Turbine Power Curves: Effects of Environmental Temperature on Wind Energy Generation," Energies, MDPI, vol. 13(18), pages 1-21, September.
    3. Justė Jankevičienė & Arvydas Kanapickas, 2021. "Projected Near-Surface Wind Speed Trends in Lithuania," Energies, MDPI, vol. 14(17), pages 1-13, August.
    4. Zhikun Luo & Zhifeng Sun & Fengli Ma & Yihan Qin & Shihao Ma, 2020. "Power Optimization for Wind Turbines Based on Stacking Model and Pitch Angle Adjustment," Energies, MDPI, vol. 13(16), pages 1-15, August.
    5. Yoshihide Tominaga, 2023. "CFD Prediction for Wind Power Generation by a Small Vertical Axis Wind Turbine: A Case Study for a University Campus," Energies, MDPI, vol. 16(13), pages 1-19, June.

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