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Modeling, control, and simulation of dual rotor wind turbine generator system

Author

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  • No, T.S.
  • Kim, J.-E.
  • Moon, J.H.
  • Kim, S.J.

Abstract

A new wind turbine generator system (WTGS) is introduced, and its mathematical model, blade pitch control scheme, and nonlinear simulation software for the performance prediction are presented. The notable feature of WTGS is that it consists of two rotor systems positioned horizontally at upwind and downwind locations, and a generator installed vertically inside the tower. In this paper, this new WTGS is treated as a constrained multi-body system, and the equations of motion are obtained by using the multi-body dynamics approach. Aerodynamic forces and torques generated from each of rotor blades are calculated using the blade element theory. Various pitch control schemes depending on the wind speed and the main rotor's rotational speed are implemented. A relatively simple model for the load torque is obtained by using the test data of the doubly fed induction generator adopted in the new WTGS. Finally, FORTRAN and Matlab/Simulink-based hybrid simulation software is developed and used to predict and analyze the performance of the WTGS.

Suggested Citation

  • No, T.S. & Kim, J.-E. & Moon, J.H. & Kim, S.J., 2009. "Modeling, control, and simulation of dual rotor wind turbine generator system," Renewable Energy, Elsevier, vol. 34(10), pages 2124-2132.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:10:p:2124-2132
    DOI: 10.1016/j.renene.2009.01.019
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Radu Saulescu & Mircea Neagoe & Codruta Jaliu, 2018. "Conceptual Synthesis of Speed Increasers for Wind Turbine Conversion Systems," Energies, MDPI, vol. 11(9), pages 1-33, August.
    2. Mircea Neagoe & Radu Saulescu & Codruta Jaliu, 2019. "Design and Simulation of a 1 DOF Planetary Speed Increaser for Counter-Rotating Wind Turbines with Counter-Rotating Electric Generators," Energies, MDPI, vol. 12(9), pages 1-19, May.
    3. Petković, Dalibor & Ćojbašič, Žarko & Nikolić, Vlastimir, 2013. "Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 191-195.
    4. Anicic, Obrad & Jovic, Srdjan, 2016. "Adaptive neuro-fuzzy approach for ducted tidal turbine performance estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1111-1116.
    5. Farahani, E.M. & Hosseinzadeh, N. & Ektesabi, M., 2012. "Comparison of fault-ride-through capability of dual and single-rotor wind turbines," Renewable Energy, Elsevier, vol. 48(C), pages 473-481.
    6. Cai, Wei & Hu, Yang & Wang, Haonan & Yao, Lujin & Guo, Xiaojiang & Liu, Jizhen, 2024. "Cross-coupling control design of a flexible dual rotor wind turbine with enhanced wind energy capture capacity," Renewable Energy, Elsevier, vol. 220(C).
    7. Jiale Li & Xiong (Bill) Yu, 2017. "Analyses of the Extensible Blade in Improving Wind Energy Production at Sites with Low-Class Wind Resource," Energies, MDPI, vol. 10(9), pages 1-24, August.
    8. 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.
    9. Zhiqiang, Li & Yunke, Wu & Jie, Hong & Zhihong, Zhang & Wenqi, Chen, 2018. "The study on performance and aerodynamics of micro counter-rotating HAWT," Energy, Elsevier, vol. 161(C), pages 939-954.

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