A novel LMI-based robust model predictive control for DFIG-based wind energy conversion systems

Amir Gholami; Alireza Sahab; Abdolreza Tavakoli; Behnam Alizadeh

Kybernetika (2019)

  • Volume: 55, Issue: 6, page 1034-1049
  • ISSN: 0023-5954

Abstract

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The optimal and reliable performance of doubly fed induction generator is essential for the efficient and optimal operation of wind energy conversion systems. This paper considers the nonlinear dynamic of a DFIG linked to a power grid and presents a new robust model predictive control technique of active and reactive power by the use of the linear matrix inequality in DFIG-based WECS. The control law is obtained through the LMI-based model predictive control that allows considering both economic and tracking factors by optimization of an objective function, constraints on control signal and states of system and effects of nonlinearities, generator parameter uncertainties and external disturbances. Robust stability in the face of bounded disturbances and generator uncertainty is shown using Lyapunov technique. Numerical simulations show that the proposed control method is able to meet the desired specification in active and reactive power control in the presence of varieties of wind speed and pitch angle.

How to cite

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Gholami, Amir, et al. "A novel LMI-based robust model predictive control for DFIG-based wind energy conversion systems." Kybernetika 55.6 (2019): 1034-1049. <http://eudml.org/doc/296931>.

@article{Gholami2019,
abstract = {The optimal and reliable performance of doubly fed induction generator is essential for the efficient and optimal operation of wind energy conversion systems. This paper considers the nonlinear dynamic of a DFIG linked to a power grid and presents a new robust model predictive control technique of active and reactive power by the use of the linear matrix inequality in DFIG-based WECS. The control law is obtained through the LMI-based model predictive control that allows considering both economic and tracking factors by optimization of an objective function, constraints on control signal and states of system and effects of nonlinearities, generator parameter uncertainties and external disturbances. Robust stability in the face of bounded disturbances and generator uncertainty is shown using Lyapunov technique. Numerical simulations show that the proposed control method is able to meet the desired specification in active and reactive power control in the presence of varieties of wind speed and pitch angle.},
author = {Gholami, Amir, Sahab, Alireza, Tavakoli, Abdolreza, Alizadeh, Behnam},
journal = {Kybernetika},
keywords = {linear matrix inequality; robust model predictive control; doubly fed induction generator; active and reactive power; optimization},
language = {eng},
number = {6},
pages = {1034-1049},
publisher = {Institute of Information Theory and Automation AS CR},
title = {A novel LMI-based robust model predictive control for DFIG-based wind energy conversion systems},
url = {http://eudml.org/doc/296931},
volume = {55},
year = {2019},
}

TY - JOUR
AU - Gholami, Amir
AU - Sahab, Alireza
AU - Tavakoli, Abdolreza
AU - Alizadeh, Behnam
TI - A novel LMI-based robust model predictive control for DFIG-based wind energy conversion systems
JO - Kybernetika
PY - 2019
PB - Institute of Information Theory and Automation AS CR
VL - 55
IS - 6
SP - 1034
EP - 1049
AB - The optimal and reliable performance of doubly fed induction generator is essential for the efficient and optimal operation of wind energy conversion systems. This paper considers the nonlinear dynamic of a DFIG linked to a power grid and presents a new robust model predictive control technique of active and reactive power by the use of the linear matrix inequality in DFIG-based WECS. The control law is obtained through the LMI-based model predictive control that allows considering both economic and tracking factors by optimization of an objective function, constraints on control signal and states of system and effects of nonlinearities, generator parameter uncertainties and external disturbances. Robust stability in the face of bounded disturbances and generator uncertainty is shown using Lyapunov technique. Numerical simulations show that the proposed control method is able to meet the desired specification in active and reactive power control in the presence of varieties of wind speed and pitch angle.
LA - eng
KW - linear matrix inequality; robust model predictive control; doubly fed induction generator; active and reactive power; optimization
UR - http://eudml.org/doc/296931
ER -

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