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State-of-the-art in wind turbine control: Trends and challenges

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  • Njiri, Jackson G.
  • Söffker, Dirk
Abstract
Wind energy is one of the most rapidly growing renewable sources of energy due to the fact that it has little negative impact on environment. To meet the growing demand, wind turbines are being scaled up both in size and power rating. However, as the size increases, the structural loads of the turbine become more dominant, causing increased fatigue stress on the turbine components which can lead to early failure. Another area of focus in wind energy is lowering production cost to give it a competitive edge over other alternative power sources. From the control point of view, low production cost of wind energy can be achieved by operating the wind turbine at/or near the optimum power efficiency during partial load regime, guaranteeing reliability by reducing fatigue loads, and regulating generated power to its rated value in the high wind regime. Often, it is difficult to realize a control algorithm that can guarantee both efficiency and reliability because these two aspects involve conflicting objectives. This paper reviews various control strategies that are used in wind turbine systems, both in low and high wind speed regions focusing primarily on multi-objective control schemes. Emerging trends that are likely to influence the current or future wind energy production, either positively or negatively, are also discussed.

Suggested Citation

  • Njiri, Jackson G. & Söffker, Dirk, 2016. "State-of-the-art in wind turbine control: Trends and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 377-393.
    • Handle: RePEc:eee:rensus:v:60:y:2016:i:c:p:377-393
    DOI: 10.1016/j.rser.2016.01.110
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    References listed on IDEAS

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    1. Liu, Yan & Söffker, Dirk, 2012. "Variable high-gain disturbance observer design with online adaption of observer gains embedded in numerical integration," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(5), pages 847-857.
    2. Peter J. Schubel & Richard J. Crossley, 2012. "Wind Turbine Blade Design," Energies, MDPI, vol. 5(9), pages 1-25, September.
    3. Ali Eltamaly & A Alolah & Hassan Farh, 2013. "Maximum Power Extraction from Utility-Interfaced Wind Turbines," Chapters, in: Hasan Arman & Ibrahim Yuksel (ed.), New Developments in Renewable Energy, IntechOpen.
    4. Bottasso, C.L. & Croce, A. & Riboldi, C.E.D. & Nam, Y., 2013. "Multi-layer control architecture for the reduction of deterministic and non-deterministic loads on wind turbines," Renewable Energy, Elsevier, vol. 51(C), pages 159-169.
    5. Hassan, H.M. & ElShafei, A.L. & Farag, W.A. & Saad, M.S., 2012. "A robust LMI-based pitch controller for large wind turbines," Renewable Energy, Elsevier, vol. 44(C), pages 63-71.
    6. Hae Gwang Jeong & Ro Hak Seung & Kyo Beum Lee, 2012. "An Improved Maximum Power Point Tracking Method for Wind Power Systems," Energies, MDPI, vol. 5(5), pages 1-16, May.
    7. Sungsu Park & Yoonsu Nam, 2012. "Two LQRI based Blade Pitch Controls for Wind Turbines," Energies, MDPI, vol. 5(6), pages 1-19, June.
    8. Petrović, Vlaho & Jelavić, Mate & Baotić, Mato, 2015. "Advanced control algorithms for reduction of wind turbine structural loads," Renewable Energy, Elsevier, vol. 76(C), pages 418-431.
    9. George C. Ledec & Kennan W. Rapp & Roberto G. Aiello, 2011. "Greening the Wind : Environmental and Social Considerations for Wind Power Development," World Bank Publications - Books, The World Bank Group, number 2388.
    10. Abdullah, M.A. & Yatim, A.H.M. & Tan, C.W. & Saidur, R., 2012. "A review of maximum power point tracking algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3220-3227.
    11. Bilgili, Mehmet & Yasar, Abdulkadir & Simsek, Erdogan, 2011. "Offshore wind power development in Europe and its comparison with onshore counterpart," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 905-915, February.
    12. Tian, Zhigang & Jin, Tongdan & Wu, Bairong & Ding, Fangfang, 2011. "Condition based maintenance optimization for wind power generation systems under continuous monitoring," Renewable Energy, Elsevier, vol. 36(5), pages 1502-1509.
    13. Asier Diaz De Corcuera & Aron Pujana-Arrese & Jose M. Ezquerra & Edurne Segurola & Joseba Landaluze, 2012. "H ∞ Based Control for Load Mitigation in Wind Turbines," Energies, MDPI, vol. 5(4), pages 1-30, April.
    14. Boukhezzar, B. & Lupu, L. & Siguerdidjane, H. & Hand, M., 2007. "Multivariable control strategy for variable speed, variable pitch wind turbines," Renewable Energy, Elsevier, vol. 32(8), pages 1273-1287.
    15. Sun, Xiaojing & Huang, Diangui & Wu, Guoqing, 2012. "The current state of offshore wind energy technology development," Energy, Elsevier, vol. 41(1), pages 298-312.
    16. Wei Yu & Ming Ming Zhang & Jian Zhong Xu, 2012. "Effect of Smart Rotor Control Using a Deformable Trailing Edge Flap on Load Reduction under Normal and Extreme Turbulence," Energies, MDPI, vol. 5(9), pages 1-19, September.
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