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Mechatronic Modeling and Frequency Analysis of the Drive Train of a Horizontal Wind Turbine

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  • Igor Ansoategui

    (Department of Mechanical Engineering, Basque Country University (UPV/EHU), Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain)

  • Ekaitz Zulueta

    (Department of System Engineering and Automation Control, Basque Country University (UPV/EHU), Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain)

  • Unai Fernandez-Gamiz

    (Department of Nuclear and Fluid Mechanics, Basque Country University (UPV/EHU), Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain)

  • Jose Manuel Lopez-Guede

    (Department of System Engineering and Automation Control, Basque Country University (UPV/EHU), Nieves Cano, 12, 01006 Vitoria-Gasteiz, Spain)

Abstract

The relevance of renewable energies is undeniable, and among them, the importance of wind energy is capital. A lot of literature has been devoted to the control techniques that deal with the optimization of the energy produced, but the maintainability of the individual wind turbines and of the farms in general is also a fundamental factor to take into account. In this paper, the authors address the general problem of knowing in advance the resonance frequencies of the power system of a wind turbine, with the underlying idea being that those frequencies should be avoided and that resonances do not occur only due to mechanical phenomena, but also because of electrical phenomena that in turn are influenced by control and optimization techniques. Therefore, the availability of that information embedded in the optimization techniques that control a wind turbine is of major importance. The main purpose of this paper was accomplished through two related objectives: the first was to obtain a mechatronic model (using a lumped parameters model of two degrees of freedom) of the drive train in the Laplace domain oriented to subsequently perform the described analysis. The second was to use that model to determine analytically the number and the value of the resonance frequencies from the generator angular velocity in such a way that such information could be used by any control algorithm or even by the mechatronic system designers. We assessed through experimental validation using a real 100 kW wind turbine that these two objectives were reached, demonstrating that the different vibration modes were detected using only the generator angular velocity.

Suggested Citation

  • Igor Ansoategui & Ekaitz Zulueta & Unai Fernandez-Gamiz & Jose Manuel Lopez-Guede, 2019. "Mechatronic Modeling and Frequency Analysis of the Drive Train of a Horizontal Wind Turbine," Energies, MDPI, vol. 12(4), pages 1-14, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:613-:d:206186
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    References listed on IDEAS

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    1. Asier González-González & Ismael Etxeberria-Agiriano & Ekaitz Zulueta & Fernando Oterino-Echavarri & Jose Manuel Lopez-Guede, 2014. "Pitch Based Wind Turbine Intelligent Speed Setpoint Adjustment Algorithms," Energies, MDPI, vol. 7(6), pages 1-17, June.
    2. Chizfahm, A. & Yazdi, E. Azadi & Eghtesad, M., 2018. "Dynamic modeling of vortex induced vibration wind turbines," Renewable Energy, Elsevier, vol. 121(C), pages 632-643.
    3. Khakpour Nejadkhaki, Hamid & Chaudhari, Swanil & Hall, John F., 2018. "A design methodology for selecting ratios for a variable ratio gearbox used in a wind turbine with active blades," Renewable Energy, Elsevier, vol. 118(C), pages 1041-1051.
    4. Mohamed El-Hendawi & Hossam A. Gabbar & Gaber El-Saady & El-Nobi A. Ibrahim, 2018. "Control and EMS of a Grid-Connected Microgrid with Economical Analysis," Energies, MDPI, vol. 11(1), pages 1-20, January.
    5. Santoso, Surya & Le, Ha Thu, 2007. "Fundamental time–domain wind turbine models for wind power studies," Renewable Energy, Elsevier, vol. 32(14), pages 2436-2452.
    6. Takanori Uchida, 2018. "LES Investigation of Terrain-Induced Turbulence in Complex Terrain and Economic Effects of Wind Turbine Control," Energies, MDPI, vol. 11(6), pages 1-15, June.
    7. Francesco Castellani & Davide Astolfi & Matteo Becchetti & Francesco Berno & Filippo Cianetti & Alessandro Cetrini, 2018. "Experimental and Numerical Vibrational Analysis of a Horizontal-Axis Micro-Wind Turbine," Energies, MDPI, vol. 11(2), pages 1-16, February.
    8. Martins, M. & Perdana, A. & Ledesma, P. & Agneholm, E. & Carlson, O., 2007. "Validation of fixed speed wind turbine dynamic models with measured data," Renewable Energy, Elsevier, vol. 32(8), pages 1301-1316.
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    Cited by:

    1. Ralf Stetter, 2020. "Approaches for Modelling the Physical Behavior of Technical Systems on the Example of Wind Turbines," Energies, MDPI, vol. 13(8), pages 1-27, April.

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