DocumentCode
3589166
Title
State estimation of DFIG using an Extended Kalman Filter with an augmented state model
Author
Malakar, Mridul Kanti ; Tripathy, Praveen ; Krishnaswamy, Srinivasan
Author_Institution
Dept. of Electron. & Electr. Eng., Indian Inst. of Technol., Guwahati, Guwahati, India
fYear
2014
Firstpage
1
Lastpage
6
Abstract
This paper presents a novel method for state estimation in doubly fed induction generators (DFIGs) using an Extended Kalman Filter. In this work, the conventional nonlinear state space model of a DFIG has been augmented with additional states in order to make rotor position and speed estimates more robust to disturbances. The effectiveness of this method has been tested for various transient cases using MATLAB/Simulink.
Keywords
Kalman filters; asynchronous generators; rotors; state estimation; DFIG; MATLAB; Simulink; augmented state model; doubly fed induction generators; extended Kalman filter; nonlinear state space model; rotor position; speed estimates; state estimation; Induction generators; Kalman filters; Mathematical model; Rotors; Stators; Torque; Wind turbines; Doubly fed induction generator; Extended Kalman Filter; rotor position and speed estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Systems Conference (NPSC), 2014 Eighteenth National
Type
conf
DOI
10.1109/NPSC.2014.7103891
Filename
7103891
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