Title :
Identification of Wind Turbine Model for Controller Design
Author :
Mate Jelavic;Nedjeljko Perc;Ivan Petrovic
Author_Institution :
University of Zagreb / Faculty of Electrical Engineering and Computing, Zagreb, Croatia
Abstract :
Wind power increases rapidly with increase of wind speed. In order to keep wind turbine running even at strong winds wind power capture has to be constrained. Efficient way for constraining wind power capture is the use of pitchable blades. For pitch controller design a suitable wind turbine model is needed. Finding mathematical model that would be a good representation of wind turbine system and at the same time suitable for controller design is very difficult task since wind turbine system is strongly nonlinear. Description of wind turbine system using many linear models identified at particular operating points is explored in this paper. Effects occurring when switching between models are examined and their repercussions on controller design are discussed. Use of fuzzy logic is proposed as possible solution for avoiding negative effects caused by switching between models
Keywords :
"Wind turbines","Wind energy","Wind energy generation","Rotors","Wind speed","Power system modeling","Power generation","Blades","Control systems","Torque"
Conference_Titel :
Power Electronics and Motion Control Conference, 2006. EPE-PEMC 2006. 12th International
Print_ISBN :
1-4244-0121-6
DOI :
10.1109/EPEPEMC.2006.4778634