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Reproduction of five degree-of-freedom loads for wind turbine using equispaced electro-hydraulic actuators

Author

Listed:
  • Yin, Xiu-xing
  • Lin, Yong-gang
  • Li, Wei
  • Ye, Hang-ye
  • Gu, Ya-jing
  • Liu, Hong-wei

Abstract

Several improvements are proposed to enhance the capability of conventional wind turbine simulators since such simulators can only simulate the turbine shaft torque, or can partially generate the other five degree-of-freedom turbine loads in addition to the turbine shaft torque. In the improved wind turbine simulator, the real wind rotor and blades are represented by an equivalent rotating disc to replicate the turbine inertia effects. Twenty-four electro-hydraulic loading actuators are symmetrically distributed around this rotating disc and are controlled independently to reproduce the additional five degree-of-freedom turbine loads that can be described in the blade and hub coordinate systems. A loading decomposition strategy is also proposed to decompose such five-degree-of-freedom turbine loads into reference loading forces for each loading actuator by incorporating additional seven-degree-of-freedom dummy loads. A typical axial loading actuator is taken as an example for in-depth dynamic modeling and analysis. Two intrinsic pressure-sensed closed control loops and different pressure modes of this actuator are presented and analyzed in detail. The dynamic model of this typical loading actuator has been thoroughly validated by using experimental measurements. Simulation results have also demonstrated that the five degree-of-freedom turbine loads can be accurately reproduced by using such electro-hydraulic loading actuators. Therefore, the improved wind turbine simulator can fully simulate steady-state and dynamic turbine loads with good accuracy and can expedite the system-level loading tests that are critical in increasing turbine reliability and offering high confidence system design.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:83:y:2015:i:c:p:626-637
    DOI: 10.1016/j.renene.2015.05.007
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    References listed on IDEAS

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    1. Pinar Pérez, Jesús María & García Márquez, Fausto Pedro & Tobias, Andrew & Papaelias, Mayorkinos, 2013. "Wind turbine reliability analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 463-472.
    2. Martinez, Fernando & Herrero, L. Carlos & de Pablo, Santiago, 2014. "Open loop wind turbine emulator," Renewable Energy, Elsevier, vol. 63(C), pages 212-221.
    3. Helsen, Jan & Vanhollebeke, Frederik & Marrant, Ben & Vandepitte, Dirk & Desmet, Wim, 2011. "Multibody modelling of varying complexity for modal behaviour analysis of wind turbine gearboxes," Renewable Energy, Elsevier, vol. 36(11), pages 3098-3113.
    4. Yin, Xiu-xing & Lin, Yong-gang & Li, Wei & Gu, Ya-jing & Wang, Xiao-jun & Lei, Peng-fei, 2015. "Design, modeling and implementation of a novel pitch angle control system for wind turbine," Renewable Energy, Elsevier, vol. 81(C), pages 599-608.
    5. 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.
    6. Monfared, Mohammad & Madadi Kojabadi, Hossein & Rastegar, Hasan, 2008. "Static and dynamic wind turbine simulator using a converter controlled dc motor," Renewable Energy, Elsevier, vol. 33(5), pages 906-913.
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    1. 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.
    2. Kim, Joon-Hyung & Cho, Bo-Min & Kim, Sung & Kim, Jin-Woo & Suh, Jun-Won & Choi, Young-Seok & Kanemoto, Toshiaki & Kim, Jin-Hyuk, 2017. "Design technique to improve the energy efficiency of a counter-rotating type pump-turbine," Renewable Energy, Elsevier, vol. 101(C), pages 647-659.

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