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An improved reduced-order model of an electric pitch drive system for wind turbine control system design and simulation

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  • Li, Hui
  • Yang, Chao
  • Hu, Yaogang
  • Liao, Xinglin
  • Zeng, Zheng
  • Zhe, Chen

Abstract

To obtain satisfactory dynamic characteristics and enhance numerical simulation efficiency, an improved reduced-order transfer-function model of an electric pitch drive system (EPDS) for a wind turbine is proposed. First, a detailed transfer-function model of an EPDS is developed on the basis of its mathematical model. Thereafter, the improved reduced-order transfer-function model for an EPDS is derived from the detailed model by transfer-function approximation, sensitivity analysis, and block diagram reduction. The frequency-domain characteristics of the proposed model and their effects on the stability of the pitch angle control system are also analyzed and compared with that of a first-order transfer-function model. Finally, the dynamic characteristics of an EDPS using the improved model are analyzed and verified by a practical EPDS test platform. Furthermore, based on the FAST–MATLAB/Simulink co-simulation tool, simulation comparisons are performed on the loading characteristics of a wind turbine to further validate its availability in it. Results show that the improved model is superior to the first-order model for the performance analysis of a wind turbine pitch angle controller, and it also can meet the requirements of large-scale loading simulations for wind turbines both in terms of the precision and the time efficiency.

Suggested Citation

  • Li, Hui & Yang, Chao & Hu, Yaogang & Liao, Xinglin & Zeng, Zheng & Zhe, Chen, 2016. "An improved reduced-order model of an electric pitch drive system for wind turbine control system design and simulation," Renewable Energy, Elsevier, vol. 93(C), pages 188-200.
    • Handle: RePEc:eee:renene:v:93:y:2016:i:c:p:188-200
    DOI: 10.1016/j.renene.2016.02.063
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    References listed on IDEAS

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    1. ChunLei Yang & Sven Modell, 2013. "Power and performance," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 26(1), pages 101-132, January.
    2. Yolanda Vidal & Leonardo Acho & Ningsu Luo & Mauricio Zapateiro & Francesc Pozo, 2012. "Power Control Design for Variable-Speed Wind Turbines," Energies, MDPI, vol. 5(8), pages 1-18, August.
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    Cited by:

    1. Habibi, Hamed & Howard, Ian & Simani, Silvio, 2019. "Reliability improvement of wind turbine power generation using model-based fault detection and fault tolerant control: A review," Renewable Energy, Elsevier, vol. 135(C), pages 877-896.
    2. Qian, Peng & Feng, Bo & Liu, Hao & Tian, Xiange & Si, Yulin & Zhang, Dahai, 2019. "Review on configuration and control methods of tidal current turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 125-139.
    3. Moghadasi, Amirhasan & Sarwat, Arif & Guerrero, Josep M., 2016. "Multiobjective optimization in combinatorial wind farms system integration and resistive SFCL using analytical hierarchy process," Renewable Energy, Elsevier, vol. 94(C), pages 366-382.

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