Title :
Direct model reference adaptive internal model controller for DFIG wind farms with dither injection
Author_Institution :
Dept. of Electr. & Electron. Eng., PET Eng. Coll., Valliyoor, India
Abstract :
This paper presents the Direct model reference adaptive internal model controller for doubly fed induction generator used in wind farms based on MIT Rule adjustment mechanism with dither injection. Direct model reference adaptive internal model controller is developed and it is tuned using MIT rule. Rotor current controller is designed using direct model reference adaptive internal model controller to improve the robust performance of the system and triangular dither signal is injected to improve the performance of the system. The performance is compared with conventional direct model reference adaptive internal model controller and is described. Flexibility of proposed method in shunt connection is illustrated, dynamic response under fault causes sag condition, like sudden drop in terminal voltage and it affects the behavior of the machine, this phenomenon is simulated using MATLAB/SIMULINK and is presented.
Keywords :
adaptive control; asynchronous generators; dynamic response; electric current control; power generation control; power supply quality; wind power plants; DFIG wind farms; MATLAB-SIMULINK; MIT rule adjustment mechanism; direct model reference adaptive internal model controller; dither injection; doubly fed induction generator; dynamic response; rotor current controller; terminal voltage; triangular dither signal; voltage sag; Adaptive control; Induction generators; MATLAB; Mathematical model; Programmable control; Robust control; Rotors; Signal design; Voltage; Wind farms; Adaptive internal model Controller; DFIG; MIT Rule; Model reference; Voltage sag ride though; dither injection; wind farms;
Conference_Titel :
Power Systems, 2009. ICPS '09. International Conference on
Conference_Location :
Kharagpur
Print_ISBN :
978-1-4244-4330-7
Electronic_ISBN :
978-1-4244-4331-4
DOI :
10.1109/ICPWS.2009.5442663