@inproceedings{85603d62279440d9948a66c7f3ab92c2,
title = "High-Performance Frequency Converter Controlled Variable-Speed Wind Generator Using Linear-Quadratic Regulator Controller",
abstract = "This article proposes an optimal control strategy with a view of achieving the best performance of a wind energy conversion system (WECS). The optimal control strategy depends on the linear-quadratic regulator (LQR) algorithm, which provides a fast convergence and less mathematical intricacy. The machine- and the grid-side converter/inverter are adjusted using the LQR controller. In this study, the system model and its control strategies are illustrated. Practical wind speed data are considered in this study for achieving realistic responses. The system performance is evaluated by comparing the results obtained using the LQR controller with that realized when the grey wolf optimizer algorithm-based optimized proportional-integral controllers are used, taken into account severe network disturbances. The simulation studies are extensively performed through the MATLAB/Simulink environment that prove the validity of the LQR controller for improving the performance of the WECS.",
keywords = "Frequency converter, linear-quadratic regulator (LQR), permanent-magnet synchronous generator, power system control, variable-speed wind turbine",
author = "Soliman, \{Mahmoud A.\} and Hasanien, \{Hany M.\} and Ahmed Al-Durra",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Industry Applications Society Annual Meeting, IAS 2019 ; Conference date: 29-09-2019 Through 03-10-2019",
year = "2019",
month = sep,
doi = "10.1109/IAS.2019.8912454",
language = "British English",
series = "2019 IEEE Industry Applications Society Annual Meeting, IAS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE Industry Applications Society Annual Meeting, IAS 2019",
address = "United States",
}
