Maximum Energy Extraction Control for Wind ...
Document type :
Article dans une revue scientifique
DOI :
Title :
Maximum Energy Extraction Control for Wind Power Generation Systems Based on the Fuzzy Controller
Author(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]
Journal title :
International Journal of Emerging Electric Power Systems
Pages :
485-495
Publisher :
De Gruyter
Publication date :
2016-10-01
ISSN :
1553-779X
English keyword(s) :
Lyapunov function
LMI
TS fuzzy control system
MPPT
wind energy system
LMI
TS fuzzy control system
MPPT
wind energy system
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :