Title :
EKF - based MPPT control for vertical axis wind turbines
Author :
Bonaccorso, Filippo ; Scelba, Giacomo ; Consoli, Alfio ; Muscato, Giovanni
Author_Institution :
Dept. of Electr. Electron. & Comput. Eng., Univ. of Catania, Catania, Italy
Abstract :
The paper proposes a novel sensorless maximum power point tracking control strategy for vector controlled vertical axis wind turbines. One relevant aspect of the proposed algorithm is that the mechanical rotor position sensor and anemometer are not needed. Estimation of the rotor position and speed of the electrical generator is performed by using an Extended Kalman Filter while the wind speed estimation is indirectly obtained through implementation of a suitable Maximum Power Point Tracking algorithm. Robustness to parameter variations and the dynamic behavior of the sensorless approach are investigated through numerical simulations.
Keywords :
Kalman filters; electric generators; machine vector control; maximum power point trackers; numerical analysis; power control; power generation control; sensorless machine control; wind turbines; EKF-based MPPT control; anemometer; electrical generator; extended Kalman filter; mechanical rotor position sensor; numerical simulations; rotor position estimation; sensorless approach; sensorless maximum power point tracking control strategy; vector controlled vertical axis wind turbines; Estimation; Generators; Rotors; Torque; Vectors; Wind speed; Wind turbines;
Conference_Titel :
IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-61284-969-0
DOI :
10.1109/IECON.2011.6119896