Maximum Energy Extraction Control for Wind ...
Type de document :
Compte-rendu et recension critique d'ouvrage
DOI :
Titre :
Maximum Energy Extraction Control for Wind Power Generation Systems Based on the Fuzzy Controller
Auteur(s) :
Kamal, Elkhatib [Auteur]
Aitouche, Abdel [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Mohammed, Walaa [Auteur]
Sobaih, Abdel Azim [Auteur]
Aitouche, Abdel [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Mohammed, Walaa [Auteur]
Sobaih, Abdel Azim [Auteur]
Titre de la revue :
International Journal of Emerging Electric Power Systems
Pagination :
485-495
Éditeur :
De Gruyter
Date de publication :
2016-10-01
ISSN :
1553-779X
Mot(s)-clé(s) en anglais :
Lyapunov function
LMI
TS fuzzy control system
MPPT
wind energy system
LMI
TS fuzzy control system
MPPT
wind energy system
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
This paper presents a robust controller for a variable speed wind turbine with a squirrel cage induction generator (SCIG). For variable speed wind energy conversion system, the maximum power point tracking (MPPT) is a very ...
Lire la suite >This paper presents a robust controller for a variable speed wind turbine with a squirrel cage induction generator (SCIG). For variable speed wind energy conversion system, the maximum power point tracking (MPPT) is a very important requirement in order to maximize the efficiency. The system is nonlinear with parametric uncertainty and subject to large disturbances. A Takagi-Sugeno (TS) fuzzy logic is used to model the system dynamics. Based on the TS fuzzy model, a controller is developed for MPPT in the presence of disturbances and parametric uncertainties. The proposed technique ensures that the maximum power point (MPP) is determined, the generator speed is controlled and the closed loop system is stable. Robustness of the controller is tested via the variation of model’s parameters. Simulation studies clearly indicate the robustness and efficiency of the proposed control scheme compared to other techniques.Lire moins >
Lire la suite >This paper presents a robust controller for a variable speed wind turbine with a squirrel cage induction generator (SCIG). For variable speed wind energy conversion system, the maximum power point tracking (MPPT) is a very important requirement in order to maximize the efficiency. The system is nonlinear with parametric uncertainty and subject to large disturbances. A Takagi-Sugeno (TS) fuzzy logic is used to model the system dynamics. Based on the TS fuzzy model, a controller is developed for MPPT in the presence of disturbances and parametric uncertainties. The proposed technique ensures that the maximum power point (MPP) is determined, the generator speed is controlled and the closed loop system is stable. Robustness of the controller is tested via the variation of model’s parameters. Simulation studies clearly indicate the robustness and efficiency of the proposed control scheme compared to other techniques.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
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