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

  • morteza hadipour
  • Mohamad Reza Alizadeh Pahlavani
  • Hassan Meyar Naimi

Abstract

This paper presents deals with the analysis, modeling, and control of the doubly-fed induction generator (DFIG) for wind turbines. Different rotor current control methods are investigated with the objective of eliminating the influence of the back electromotive force (EMF(, on the rotor current. It is found that the method that utilizes both feed forward of the back EMF and so called “active resistance” manages best to suppress the influence of the back EMF on the rotor current of  the investigated methods. This method also has the best stability properties. In addition it is found that this method also has the best robustness to parameter deviations. 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.

Author Biographies

morteza hadipour

Department of Electrical Engineering, Hamedan Branch, Islamic Azad University, Hamedan, Iran

Mohamad Reza Alizadeh Pahlavani

Associate Professor  of Electrical Machines

Department Electrical Engineering ,Malek Ashtar University of Technology, Tehran, Iran

Hassan Meyar Naimi

Assistant Professor of Electrical Power System

Department of Electrical Engineering, Hamedan Branch, Islamic Azad University, Hamedan, Iran

References

[1] Banaei. M. , Buygi, M.O"How wind power plants can affect electricity markets by gaming on their generation power? " IEEE, 2013, pp. 1–6

[2] Doria. Cerezo, A. "Control and performance of a doubly-fed induction machine intended for a flywheel energy storage system" IEEE, 2013, pp. 605–606

[3] Dezza.F.C,Foglia,G,Iacchetti.M.F.Perini.R " An MRAS Observer for Sensorless DFIM Drives With Direct Estimation of the Torque and Flux Rotor Current Components " IEEE, 2012, pp. 2576 – 2584

[4] Giaourakis. D.G. , Safacas. A.N. , Tsotoulidis. S. "Double-fed induction machine: converter optimisation and field oriented control without position sensor" IEEE, 1998 , pp. 360–368

[5] Hashemnia. M.N. , Tahami. F. " Dynamic modeling and simulation of brushless doubly fed induction machine in consideration of core loss " IEEE, 2012, pp. 1753 - 1757

[6] Jinxin. Ouyang, Xiaofu. Xiong "Dynamic behavior of the excitation circuit of a doubly-fed induction generator under a symmetrical voltage drop"Elsevier, 2014, pp. 629-638

[7] Malik.ur Rehman,N ,Sadarangani. C."Extended vector control of a rotating power electronic brushless doubly-fed induction generator under unsymmetrical voltage sags " IEEE, 2012, pp. 1793 - 1798

[8] Mukhopadhyay. S. , Soonee, S.K. , Joshi. R. , Rajput. A.K " On the progress of renewable energy integration into smart grids in India " IEEE. 2012, pp. 1–6

[9] Pura. P. , Iwanski. G. " Direct power control with referenced torque and reactive power of Doubly Fed Induction Machine connected to unbalanced grid " IEEE,2014. pp. 1-6

[10] Qingjun. Huang , Xudong. Zou , Tong . Li. " Analysis of the electromagnetic transient time in DFIG during grid faults ", IEEE ,2014, pp. 405 - 410

[11] Wenjie. Chen , Blaabjerg. F. , Nan Zhu. Min Chen ,Dehong Xu " Doubly fed induction generator based wind turbine systems subject to recurring grid faults", IEEE ,2014, pp. 3097 - 3104

[12] Yu. Lu Lin, Wei. Yeh Tzu‌,‌Chi. Chu Chia"Back-EMF-based‌ model-reference adaptive sensorless control for grid-connected DFIGs‌",IEEE ,2013, pp. 15

[13] Gerasimos Rigatos, Nikolaos Zervos " Control and disturbances compensation for doubly-fed induction generators using the Derivative-Free Nonlinear Kalman Filter", IEEE ,2014, pp. 15

[14] Yasser Wehbe, "Model Estimation of Electric Power Systems by Phasor Measurement Units Data"Thesis,2012
Published
2016-05-31
How to Cite
hadipour, morteza, Alizadeh Pahlavani, M. R., & Meyar Naimi, H. (2016). Application of Kalman Filter to Parameter Estimation of Doubly-Fed Induction Generators in Wind Turbine Systems. Majlesi Journal of Energy Management, 5(2). Retrieved from http://journals.iaumajlesi.ac.ir/em/index/index.php/em/article/view/256
Section
Articles