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Wave energy plants: Control strategies for avoiding the stalling behaviour in the Wells turbine

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  • Amundarain, Modesto
  • Alberdi, Mikel
  • Garrido, Aitor J.
  • Garrido, Izaskun
  • Maseda, Javier

Abstract

This study analyzes the problem of the stalling behaviour in Wells turbines, one of the most widely used turbines in wave energy plants. For this purpose two different control strategies are presented and compared. In the first one, a rotational speed control system is employed to appropriately adapt the speed of the double-fed induction generator coupling to the turbine, according to the pressure drop entry. In the second control strategy, an airflow control regulates the power generated by the turbine generator module by means of the modulation valve avoiding the stalling behaviour. It is demonstrated that the proposed rotational speed control design adequately matches the desired relationship between the slip of the double-fed induction generator and the pressure drop input, whilst the valve control using a traditional PID controller successfully governs the flow that modulates the pressure drop across the turbine.

Suggested Citation

  • Amundarain, Modesto & Alberdi, Mikel & Garrido, Aitor J. & Garrido, Izaskun & Maseda, Javier, 2010. "Wave energy plants: Control strategies for avoiding the stalling behaviour in the Wells turbine," Renewable Energy, Elsevier, vol. 35(12), pages 2639-2648.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:12:p:2639-2648
    DOI: 10.1016/j.renene.2010.04.009
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    1. Jayashankar, V. & Anand, S. & Geetha, T. & Santhakumar, S. & Jagadeesh Kumar, V. & Ravindran, M. & Setoguchi, T. & Takao, M. & Toyota, K. & Nagata, S., 2009. "A twin unidirectional impulse turbine topology for OWC based wave energy plants," Renewable Energy, Elsevier, vol. 34(3), pages 692-698.
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    5. Torresi, M. & Camporeale, S.M. & Strippoli, P.D. & Pascazio, G., 2008. "Accurate numerical simulation of a high solidity Wells turbine," Renewable Energy, Elsevier, vol. 33(4), pages 735-747.
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    4. Halliday, J. Ross & Dorrell, David G. & Wood, Alan R., 2011. "An application of the Fast Fourier Transform to the short-term prediction of sea wave behaviour," Renewable Energy, Elsevier, vol. 36(6), pages 1685-1692.
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    6. Geng, Kaihe & Yang, Ce & Zhao, Ben & Zhao, Wei & Gao, Jianbing & Hu, Chenxing & Zhang, Hanzhi & Wu, Wangxia, 2023. "Residual circulation budget analysis in a Wells turbine with leading-edge micro-cylinders," Renewable Energy, Elsevier, vol. 216(C).
    7. Hong, Yue & Waters, Rafael & Boström, Cecilia & Eriksson, Mikael & Engström, Jens & Leijon, Mats, 2014. "Review on electrical control strategies for wave energy converting systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 329-342.
    8. Alberdi, Mikel & Amundarain, Modesto & Garrido, Aitor & Garrido, Izaskun, 2012. "Neural control for voltage dips ride-through of oscillating water column-based wave energy converter equipped with doubly-fed induction generator," Renewable Energy, Elsevier, vol. 48(C), pages 16-26.
    9. Ozkop, Emre & Altas, Ismail H., 2017. "Control, power and electrical components in wave energy conversion systems: A review of the technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 106-115.
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