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Multivariable control algorithm for laboratory experiments in wind energy conversion

Author

Listed:
  • Merabet, A.
  • Islam, Md.A.
  • Beguenane, R.
  • Trzynadlowski, A.M.

Abstract

Advanced experimentation with wind energy conversion systems is described. The real time multivariable control of a wind turbine is designed for investigation of theoretical concepts and their physical implementation. The control system includes a speed controller and a disturbance estimator for enhanced robustness of the control system. In order to provide students with deeper understanding of wind energy and energy extraction, a maximum power point tracking algorithm is developed and integrated into the control system. The multivariable control system is implemented in a small wind turbine laboratory system. A power electronic interface is based on two DC–DC converters: a buck converter for control of the speed and a boost converter controlling the load voltage. Experimental results demonstrate effectiveness of the multivariable control system for a wind turbine providing maximum power extraction. The experiment can be reconfigured for teaching various control concepts to both undergraduate and graduate students.

Suggested Citation

  • Merabet, A. & Islam, Md.A. & Beguenane, R. & Trzynadlowski, A.M., 2015. "Multivariable control algorithm for laboratory experiments in wind energy conversion," Renewable Energy, Elsevier, vol. 83(C), pages 162-170.
    • Handle: RePEc:eee:renene:v:83:y:2015:i:c:p:162-170
    DOI: 10.1016/j.renene.2015.04.031
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    Cited by:

    1. Adel Merabet, 2018. "Adaptive Sliding Mode Speed Control for Wind Energy Experimental System," Energies, MDPI, vol. 11(9), pages 1-14, August.

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