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Research Article | Open Access |

Design of Optimal Control of DFIG-based Wind Turbine System through Linear Quadratic Regulator

Author 1: Ines Zgarni Author 2: Lilia ElAmraoui
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 12, No. 10 · Published 2021

DOI: https://doi.org/10.14569/IJACSA.2021.0121078

Abstract

This paper is devoted to implement an optimal control approach applying Linear Quadratic Regulator (LQR) to control a DFIG based Wind Turbine. The main goal of proposed LQR Controller is to achieve the active and reactive power and the DC-link voltage control of DFIG system in order to extract the maximum power from the wind turbine. In fact, the linearized state-space model of studied system in the d-q rotating reference frame is established. However, the overall system is controlled using MPPT strategy. The simulation results are obtained with Sim-Power-System and Simulink of MATLAB in terms of steady-state values, Peak amplitude, settling time and rise-time. Finally, the eigenvalue analysis and the simulation results are rated to ensure studied system robustness and stability, and the effectiveness of the control strategy.

Keywords

How to Cite this Article

Zgarni, I., & ElAmraoui, L. (2021). Design of Optimal Control of DFIG-based Wind Turbine System through Linear Quadratic Regulator. International Journal of Advanced Computer Science and Applications, 12(10). https://doi.org/10.14569/IJACSA.2021.0121078

Zgarni, Ines, and Lilia ElAmraoui. "Design of Optimal Control of DFIG-based Wind Turbine System through Linear Quadratic Regulator." International Journal of Advanced Computer Science and Applications, vol. 12, no. 10, 2021, https://doi.org/10.14569/IJACSA.2021.0121078.

@article{Zgarni2021,
  title     = {Design of Optimal Control of DFIG-based Wind Turbine System through Linear Quadratic Regulator},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {10},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Ines Zgarni and Lilia ElAmraoui},
  doi       = {10.14569/IJACSA.2021.0121078},
  url       = {https://doi.org/10.14569/IJACSA.2021.0121078}
}

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