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DOI: 10.14569/IJACSA.2021.0121078
PDF

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), Volume 12 Issue 10, 2021.

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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: Wind turbine system; doubly fed induction generator; DFIG; optimal control; linear quadratic regulator; LQR

Ines Zgarni 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(IJACSA), 12(10), 2021. http://dx.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},
doi = {10.14569/IJACSA.2021.0121078},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121078},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {10},
author = {Ines Zgarni and Lilia ElAmraoui}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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