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Distributed Extremum-Seeking for Wind Farm Power Maximization Using Sliding Mode Control

Author

Listed:
  • Yasser Bin Salamah

    (Department of Electrical Engineering, King Saud Univeristy, Riyadh 11451, Saudi Arabia)

  • Umit Ozguner

    (Department of Electrical & Computer Engineering, Ohio State University, Columbus, OH 43210, USA)

Abstract

This paper introduces a sliding-mode-based extremum-seeking algorithm aimed at generating optimal set-points of wind turbines in wind farms. A distributed extremum-seeking control is directed to fully utilize the captured wind energy by taking into consideration the wake and aerodynamic properties between wind turbines. The proposed approach is a model-free algorithm. Namely, it is independent of the model selection of the wake interaction between the wind turbines. The proposed distributed scheme consists of two parts. A dynamic consensus algorithm and an extremum-seeking controller based on sliding-mode theory. The distributed consensus algorithm is exploited to estimate the value of the total power produced by a wind farm. Subsequently, sliding-mode extremum-seeking controllers are intended to cooperatively produce optimal set-points for wind turbines within the farm. Scheme performance is tested via extensive simulations under both steady and varying wind speed and directions. The presented distributed scheme is compared with a centralized approach, in which the problem can be seen as a multivariable optimization. The results show that the employed scheme is able to successfully maximize power production in wind farms.

Suggested Citation

  • Yasser Bin Salamah & Umit Ozguner, 2021. "Distributed Extremum-Seeking for Wind Farm Power Maximization Using Sliding Mode Control," Energies, MDPI, vol. 14(4), pages 1-14, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:828-:d:493899
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