Title : 
Small-signal model and dynamic analysis of variable speed induction machine wind farms
         
        
            Author : 
Tabesh, Ahmadreza ; Iravani, Reza
         
        
            Author_Institution : 
Dept. of Electr. & Comput. Eng., Toronto Univ., Toronto, ON
         
        
        
        
        
            fDate : 
12/1/2008 12:00:00 AM
         
        
        
        
            Abstract : 
A unified, modular, small-signal dynamic model for an induction machine-based wind farm is presented. The proposed model can represent an arbitrary number of fixed-speed, partially variable-speed (doubly fed) and variable-speed induction machine-based wind units in a wind farm. The model represents the dynamics of (i) each wind turbine-generator electromechanical system, (ii) each converter system and the corresponding controls and (iii) the host electrical grid, within the subsynchronous frequency range (0.1-60-Hz). In contrast to the widely used state-space formulation, the proposed approach is based on developing electrical and mechanical transfer-function matrices to formulate the overall system as a multivariable feedback system. Thus, it provides significant flexibility to represent a large number of wind units and their controllers, identical or non-identical, within a wind farm.
         
        
            Keywords : 
asynchronous machines; eigenvalues and eigenfunctions; frequency response; power convertors; time-domain analysis; transfer function matrices; wind power plants; wind turbines; PSCAD-EMTDC environment; converter system; eigen analysis approach; electrical transfer-function matrices; fixed-speed; frequency 0.1 Hz to 60 Hz; frequency response-based method; host electrical grid; mechanical transfer-function matrices; multivariable feedback system; small-signal dynamic model; state space formulation; subsynchronous frequency range; time-domain simulation; variable speed induction machine; wind turbine-generator electromechanical system;
         
        
        
            Journal_Title : 
Renewable Power Generation, IET
         
        
        
        
        
            DOI : 
10.1049/iet-rpg:20070107