Title : 
Identification of Doubly Fed Induction Generator based Wind Energy Conversion System using piecewise-linear Hammerstein Wiener model
         
        
            Author : 
Vijayalaxmi, M. ; ShanmugaVadivoo, N.
         
        
            Author_Institution : 
Department of Electrical and Electronics Engineering, Thiagarajar College of Engineering, Madurai, India
         
        
        
        
        
            Abstract : 
The aim of this paper is to present a piecewise-linear Hammerstein Wiener model for the identification of variable speed Wind Energy Conversion System driven by Doubly Fed Induction Generator (DFIG). The subsystems of the wind energy conversion systems are identified individually using non linear system identification technique. The complete wind energy conversion system is modeled in matlab simulink environment and its properties are analyzed. The model is developed such that it can be suited for all types of induction generator configurations and it can also be used to study the steady state and transient state performances of Wind energy conversion system.
         
        
            Keywords : 
Computational modeling; Generators; Predictive models; Torque; Turbines; Wind speed; Doubly Fed Induction Generator (DFIG); Hammerstein-Wiener Model; Wind Energy Conversion Systems;
         
        
        
        
            Conference_Titel : 
Intelligent Systems and Control (ISCO), 2013 7th International Conference on
         
        
            Conference_Location : 
Coimbatore, Tamil Nadu, India
         
        
            Print_ISBN : 
978-1-4673-4359-6
         
        
        
            DOI : 
10.1109/ISCO.2013.6481119