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Article Details

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.

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

Author 1: Ines Zgarni
Author 2: Lilia ElAmraoui

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2021.0121078

Article Published in 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}
}


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