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Power variation control of a wind generator by using feed forward control

Author

Listed:
  • Kodama, Naruhito
  • Matsuzaka, Tomoyuki
  • Tuchiya, Keiichi
  • Arinaga, Shinji

Abstract

The pitch control of wind generators is usually made by a feed back control concept. However, under the conditions where a wind speed changes very frequently due to geographic reasons of the site and the target system has large rotor inertia, the feed back signal which is applied to the control system to compensate disturbance such as wind speed variations is delayed, and consequently the control strategy to keep the generated power at a constant value does not work well. If the wind speed shows too much variation, this will cause a violent variation of power and result in step out operation of the generator from the power system due to magnetic saturation. This paper proposes a control strategy to reduce the power variations by introducing feed forward control combining with the conventional feed back control.

Suggested Citation

  • Kodama, Naruhito & Matsuzaka, Tomoyuki & Tuchiya, Keiichi & Arinaga, Shinji, 1999. "Power variation control of a wind generator by using feed forward control," Renewable Energy, Elsevier, vol. 16(1), pages 847-850.
    • Handle: RePEc:eee:renene:v:16:y:1999:i:1:p:847-850
    DOI: 10.1016/S0960-1481(98)00283-3
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    Citations

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    Cited by:

    1. Hossain, M.J. & Pota, H.R. & Ramos, R.A., 2011. "Robust STATCOM control for the stabilisation of fixed-speed wind turbines during low voltages," Renewable Energy, Elsevier, vol. 36(11), pages 2897-2905.
    2. Meyer, David G. & Srinivasan, Sriram & Semrau, Greg, 2013. "Dynamic wind estimation based control for small wind turbines," Renewable Energy, Elsevier, vol. 50(C), pages 259-267.
    3. Ikegami, Takashi & Urabe, Chiyori T. & Saitou, Tetsuo & Ogimoto, Kazuhiko, 2018. "Numerical definitions of wind power output fluctuations for power system operations," Renewable Energy, Elsevier, vol. 115(C), pages 6-15.
    4. Delarue, Ph. & Bouscayrol, A. & Tounzi, A. & Guillaud, X. & Lancigu, G., 2003. "Modelling, control and simulation of an overall wind energy conversion system," Renewable Energy, Elsevier, vol. 28(8), pages 1169-1185.
    5. Belmokhtar, K. & Doumbia, M.L. & Agbossou, K., 2014. "Novel fuzzy logic based sensorless maximum power point tracking strategy for wind turbine systems driven DFIG (doubly-fed induction generator)," Energy, Elsevier, vol. 76(C), pages 679-693.

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