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Fundamental time–domain wind turbine models for wind power studies

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  • Santoso, Surya
  • Le, Ha Thu

Abstract

One critical task in any wind power interconnection study involves the modelling of wind turbines. This paper provides the most basic yet comprehensive time–domain wind turbine model upon which more sophisticated models along with their power and speed control mechanisms, can be developed. For this reason, this paper concentrates on the modelling of a fixed-speed wind turbine. The model includes turbine's aerodynamic, mechanical, and electrical components. Data for the rotor, drive-train, and electrical generator are given to allow replication of the model in its entirety. Each of the component-blocks of the wind turbine is modelled separately so that one can easily expand the model to simulate variable-speed wind turbines or customise the model to suit their needs. Then, an aggregate wind turbine model, or wind farm, is developed. This is followed by four case studies to demonstrate how the models can be used to study wind turbine operation and power grid integration issues. Results obtained from the case studies show that the models perform as expected.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:32:y:2007:i:14:p:2436-2452
    DOI: 10.1016/j.renene.2006.12.008
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    Citations

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    Cited by:

    1. 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.
    2. Lei Fu & Yanding Wei & Sheng Fang & Xiaojun Zhou & Junqiang Lou, 2017. "Condition Monitoring for Roller Bearings of Wind Turbines Based on Health Evaluation under Variable Operating States," Energies, MDPI, vol. 10(10), pages 1-21, October.
    3. Xie, Da & Lu, Yupu & Sun, Junbo & Gu, Chenghong, 2017. "Small signal stability analysis for different types of PMSGs connected to the grid," Renewable Energy, Elsevier, vol. 106(C), pages 149-164.
    4. Seo, Seokho & Oh, Si-Doek & Kwak, Ho-Young, 2019. "Wind turbine power curve modeling using maximum likelihood estimation method," Renewable Energy, Elsevier, vol. 136(C), pages 1164-1169.
    5. Mircea Neagoe & Radu Saulescu & Codruta Jaliu & Petru A. Simionescu, 2020. "A Generalized Approach to the Steady-State Efficiency Analysis of Torque-Adding Transmissions Used in Renewable Energy Systems," Energies, MDPI, vol. 13(17), pages 1-18, September.
    6. Kusiak, Andrew & Zheng, Haiyang & Song, Zhe, 2009. "Models for monitoring wind farm power," Renewable Energy, Elsevier, vol. 34(3), pages 583-590.
    7. García-Gracia, Miguel & Comech, M. Paz & Sallán, Jesús & Llombart, Andrés, 2008. "Modelling wind farms for grid disturbance studies," Renewable Energy, Elsevier, vol. 33(9), pages 2109-2121.

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