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Development of a 20 kW wind turbine simulator with similarities to a 3 MW wind turbine

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  • Oh, Ki-Yong
  • Lee, Jae-Kyung
  • Bang, Hyung-Joon
  • Park, Joon-Young
  • Lee, Jun-Shin
  • Epureanu, B.I.

Abstract

As the use of wind power has steadily increased, the importance of a condition monitoring and fault diagnosis system is being emphasized to maximize the availability and reliability of wind turbines. To develop novel algorithms for fault detection and lifespan estimation, a wind turbine simulator is indispensible for verification of the proposed algorithms before introducing them into a health monitoring and integrity diagnosis system. In this paper, a new type of simulator is proposed to develop and verify advanced diagnosis algorithms. The simulator adopts a torque control method for a motor and inverter to realize variable speed-variable pitch control strategies. Unlike conventional motor–generator configurations, the simulator includes several kinds of components and a variety of sensors. Specifically, it has similarity to a 3 MW wind turbine, thereby being able to acquire a state of operation that closely resembles that of the actual 3 MW wind turbine operated at various wind conditions. This paper presents the design method for the simulator and its control logic. The experimental comparison between the behavior of the simulator and that of a wind turbine shows that the proposed control logic performs successfully and the dynamic behaviors of the simulator have similar trends as those of the wind turbine.

Suggested Citation

  • Oh, Ki-Yong & Lee, Jae-Kyung & Bang, Hyung-Joon & Park, Joon-Young & Lee, Jun-Shin & Epureanu, B.I., 2014. "Development of a 20 kW wind turbine simulator with similarities to a 3 MW wind turbine," Renewable Energy, Elsevier, vol. 62(C), pages 379-387.
    • Handle: RePEc:eee:renene:v:62:y:2014:i:c:p:379-387
    DOI: 10.1016/j.renene.2013.06.026
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    References listed on IDEAS

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    1. Eriksson, Sandra & Solum, Andreas & Leijon, Mats & Bernhoff, Hans, 2008. "Simulations and experiments on a 12kW direct driven PM synchronous generator for wind power," Renewable Energy, Elsevier, vol. 33(4), pages 674-681.
    2. Hirahara, Hiroyuki & Hossain, M. Zakir & Kawahashi, Masaaki & Nonomura, Yoshitami, 2005. "Testing basic performance of a very small wind turbine designed for multi-purposes," Renewable Energy, Elsevier, vol. 30(8), pages 1279-1297.
    3. Han, S.G. & Yu, I.K. & Park, M., 2007. "PSCAD/EMTDC-based simulation of wind power generation system," Renewable Energy, Elsevier, vol. 32(1), pages 105-117.
    4. Hameed, Z. & Hong, Y.S. & Cho, Y.M. & Ahn, S.H. & Song, C.K., 2009. "Condition monitoring and fault detection of wind turbines and related algorithms: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(1), pages 1-39, January.
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    Cited by:

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    2. Danyang Li & Yajing Gu & Hongwei Liu & Yonggang Lin & Jiajun Song & Yongdong Shu, 2023. "Multi-Degree-of-Freedom Load Reproduction by Electrohydraulic Digital-Servo Loading for Wind Turbine Drivetrain," Energies, MDPI, vol. 16(12), pages 1-20, June.
    3. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Ye, Hang-ye & Gu, Ya-jing & Liu, Hong-wei, 2015. "Reproduction of five degree-of-freedom loads for wind turbine using equispaced electro-hydraulic actuators," Renewable Energy, Elsevier, vol. 83(C), pages 626-637.
    4. Lim, Chae Wook, 2019. "A demonstration on the similarity of pitch response between MW wind turbine and small-scale simulator," Renewable Energy, Elsevier, vol. 144(C), pages 68-76.
    5. Oh, Ki-Yong & Park, Joon-Young & Lee, Jun-Shin & Lee, JaeKyung, 2015. "Implementation of a torque and a collective pitch controller in a wind turbine simulator to characterize the dynamics at three control regions," Renewable Energy, Elsevier, vol. 79(C), pages 150-160.

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