Title :
Hybrid control law for maximum power point tracking in variable-speed wind generation
Author :
Kara, Zakaria ; Barra, Kamel
Author_Institution :
Electr. & Autom. Eng. Lab., Larbi Ben M´hidi Univ., Oum El Bouaghi, Algeria
Abstract :
In using of fuzzy logic supervisor an hybrid controller is proposed, it based on Sliding Mode (SM) and Proportional Integral (PI) control and applied in the Maximum Power Point Tracking (MPPT) of Wind Energy Conversion System (WECS). The WECS based on doubly fed induction generator (DFIG) was controlled via a three phase Matrix Converter to ensure reliability and good energy conversion management. Simulation results of the WECS are proven and compared for each mode. Very attractive results in terms of reference tracking and oscillations around Optimal Power Points (OPP) are achieved especially when using this proposed hybrid control which provide a quick and smooth energy conversion. In addition to that a unified power factor and a good conditioning to the electrical injected power are enhanced.
Keywords :
PI control; asynchronous generators; fuzzy logic; matrix convertors; maximum power point trackers; power factor; power generation control; variable structure systems; DFIG; MPPT; OPP; WECS; doubly fed induction generator; energy conversion management; fuzzy logic supervisor; hybrid control law; matrix converter; maximum power point tracking; optimal power points; proportional integral control; sliding mode control; unified power factor; variable speed wind generation; wind energy conversion system; Aerodynamics; Optimized production technology; Rotors; Shafts; Wind power generation; Wind speed; Wind turbines; Cp; DFIG; Fuzzy Logic; Matrix Converter; PI control; Sliding Mode Control (SMC); Tip Speed Ratio (TSR); WECS; aerodynamic power; hybrid control;
Conference_Titel :
Renewable Energy Congress (IREC), 2015 6th International
Conference_Location :
Sousse
DOI :
10.1109/IREC.2015.7110917