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Output power control for hydro-viscous transmission based continuously variable speed wind turbine

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  • Yin, Xiu-xing
  • Lin, Yong-gang
  • Li, Wei
  • Liu, Hong-wei
  • Gu, Ya-jing

Abstract

A hydro-viscous transmission based continuously variable speed wind turbine is proposed in this paper to smooth the output power fluctuations in the full-load region. The hydro-viscous transmission concept is based upon mature technology and is characterized by low production cost and high reliability. Torque characteristics and transmission efficiency of this type of wind turbine are analyzed. A particle swarm optimization algorithm based multi-objective optimization method is employed to optimally design the hydro-viscous transmission. Major components of the wind power system have been mathematically modeled and analyzed in detail. Furthermore, a hybrid output power control strategy is proposed and implemented to precisely control the generated power and torque for this system. This wind power system has been validated by a theoretical analysis and a comparative simulation study. The simulation results by using an actual detailed model show the achievement of quite satisfactory performances of smoothing power and torque fluctuations despite the varying wind speed.

Suggested Citation

  • Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Liu, Hong-wei & Gu, Ya-jing, 2014. "Output power control for hydro-viscous transmission based continuously variable speed wind turbine," Renewable Energy, Elsevier, vol. 72(C), pages 395-405.
    • Handle: RePEc:eee:renene:v:72:y:2014:i:c:p:395-405
    DOI: 10.1016/j.renene.2014.07.010
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    References listed on IDEAS

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    1. Zhao, Xueyong & Maißer, Peter, 2003. "A novel power splitting drive train for variable speed wind power generators," Renewable Energy, Elsevier, vol. 28(13), pages 2001-2011.
    2. Chowdhury, M.A. & Hosseinzadeh, N. & Shen, W.X., 2012. "Smoothing wind power fluctuations by fuzzy logic pitch angle controller," Renewable Energy, Elsevier, vol. 38(1), pages 224-233.
    3. Hall, John F. & Chen, Dongmei, 2012. "Performance of a 100 kW wind turbine with a Variable Ratio Gearbox," Renewable Energy, Elsevier, vol. 44(C), pages 261-266.
    4. Hall, John F. & Mecklenborg, Christine A. & Chen, Dongmei & Pratap, Siddharth B., 2011. "Wind energy conversion with a variable-ratio gearbox: design and analysis," Renewable Energy, Elsevier, vol. 36(3), pages 1075-1080.
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    Cited by:

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    4. Gu, Ya-jing & Lin, Yong-gang & Xu, Quan-kun & Liu, Hong-wei & Li, Wei, 2018. "Blade-pitch system for tidal current turbines with reduced variation pitch control strategy based on tidal current velocity preview," Renewable Energy, Elsevier, vol. 115(C), pages 149-158.
    5. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Gu, Hai-gang, 2016. "Hydro-viscous transmission based maximum power extraction control for continuously variable speed wind turbine with enhanced efficiency," Renewable Energy, Elsevier, vol. 87(P1), pages 646-655.
    6. Roggenburg, Michael & Esquivel-Puentes, Helber A. & Vacca, Andrea & Bocanegra Evans, Humberto & Garcia-Bravo, Jose M. & Warsinger, David M. & Ivantysynova, Monika & Castillo, Luciano, 2020. "Techno-economic analysis of a hydraulic transmission for floating offshore wind turbines," Renewable Energy, Elsevier, vol. 153(C), pages 1194-1204.
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    9. Subbulakshmi, A. & Verma, Mohit & Keerthana, M. & Sasmal, Saptarshi & Harikrishna, P. & Kapuria, Santosh, 2022. "Recent advances in experimental and numerical methods for dynamic analysis of floating offshore wind turbines — An integrated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
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