Application of Kalman Filter for Parameter Estimation of Doubly-Fed Induction Generators in Wind Turbine Systems

Author(s):

M. R. Alizadeh Pahlavani , Morteza Hadipour * , Hassan Meyar Naimi

Message:
Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:

In This paper presents a method for state estimation in doubly fed induction generators (DFIGs) using an Extended Kalman Filter and Unscented Kalman Filter. In this work, the conventional nonlinear state space model of a DFIG is augmented with different modes of estimates by using two methods (EKF and UKF) in order to estimate generator parameters such as rotor angle deviation, rotor speed, rotor position and etc. The effectiveness of this method is tested using MATLAB/Simulink.

Keywords:

Doubly-fed induction generator , estimation , Extended Kalman Filter

Language:
English
Published:
Majlesi Journal of Energy Management, Volume:12 Issue: 2, Jun 2023
Page:
3
https://www.magiran.com/p2674260  
سامانه نویسندگان
  • Morteza Hadipour
    Corresponding Author (2)
    MSc Graduated Electrical engineering, Hamedan Branch, Islamic Azad University, Hamedan, Iran
    Hadipour، Morteza
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