Application of Classical Controllers in the Doubly Fed Induction Generator based Wind Energy Conversion System using System Identification Approach

M. Vijaya(1*), N. Shanumga Vadivoo(2)

(1) Research scholar, Department of EEE, Thiagarajar College of Engineering, Madurai, Tamilnadu, India
(2) Department of EEE, Thiagarajar College of Engineering, Madurai, Tamilnadu,
(*) Corresponding author

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This paper presents a method to identify, model and design the conventional controllers for the variable speed wind energy conversion system driven by Doubly Fed Induction Generator. The complete wind energy conversion system is designed, identified and modeled using system identification approach. Classical controllers are developed for partial and full load region of wind energy conversion system with nonlinear Hammerstein Weiner model as reference input. The performance of classical controllers for different wind speeds are studied based on Integral square error and the average power produced by the doubly fed induction generator. Thereby it is suggested that using the Hammerstein wiener model as reference input, it is able to develop the efficient conventional controllers for doubly fed induction generator based wind energy conversion system
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Wind Energy Conversion System; Doubly Fed Induction Generator; Hammerstein-Wiener Model; Parameter Estimation; Classical Controllers

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M. Soliman, O.P. Malik, D.T. Westwick “Multiple model Mulitple output predictive control for variable speed variable pitch wind energy conversion systems”, IET Renewable Power Generation, vol.5, 2011 pp.124-136.

Mostafa Soliman, O. P. Malik, and David T. Westwick “Multiple Model Predictive Control for Wind Turbines with Doubly Fed Induction Generators”, IEEE Transactions on Sustainable Energy, vol. 2, no. 3, 2011 pp. 215-225.

F. D. Bianchi, H. Battista, and R. J. Mantz “Wind Turbine Control Systems:Principles, Modelling and Gain Scheduling Design”, (London:Springer-Verlag, 2007).

H. Camblong, I.M. de Alegria, M. Rodriguez, and G. Abad “Experimental evaluation of wind turbines maximum power point tracking controllers”, Energy Convers. Manage, vol. 47, 2006 pp. 2846–2858.

A. D. Hansen, P. Sorensen, F. Lov, and F. Blaabjerg “Control of variable speed wind turbines with doubly-fed induction generators”, Wind Eng., vol. 28, 2004 pp. 411–443.

I. Munteanu, N. A. Cutululis, A. I. Bratcu, and E. Ceanga “Optimization of variable speed wind power systems based on a LQG approach”, Control Eng. Pract., vol. 13, 2005 pp. 903–912.

F. D. Bianchi, R. J.Mantz, and C.F.Christiansen “Control of variable speed wind turbines by LPV gain scheduling”, Wind Energy, vol. 7, 2004 pp.1–8.

E. A. Bossanyi “The design of closed loop controllers for wind turbines”, Wind Energy, vol. 3, 2000 pp. 149–163.

E. B. Muhando, T. Senjyu, A. Yona, H. Kinjo, and T. Funabashi “Disturbance rejection by dual pitch control and self-tuning regulator for wind turbine generator parametric uncertainty compensation”, IET Control Theory Applicat., vol. 1, 2007 pp. 1431–1440.

F. D. Bianchi, R. J. Mantz, and C. F. Christiansen “Power regulation in pitch-controlled variable-speed WECS above rated wind speed”, Renewable Energy, vol. 29, 2004 pp. 1911–1922.

Kerrouche, K.D., Mezouar, A., Boumediene, L., Belgacem, K., Modeling and optimum power control based DFIG wind energy conversion system, (2014) International Review of Electrical Engineering (IREE), 9 (1), pp. 174-185.

Benbouzid, M., Beltran, B., Amirat, Y., Breton, S., Sensorless control of doubly-fed induction generator-based wind turbines using a high-order sliding mode observer, (2014) International Review of Electrical Engineering (IREE), 9 (1), pp. 49-55.

Tohidi, A., Shamsaddinlou, A., Abedinia, O., Sedigh, A.K., Abbaszadeh, K., New practical design of disturbance rejection control scheme for dfig with wind energy conversion systems, (2013) International Review of Electrical Engineering (IREE), 8 (3), pp. 1119-1132.

S. N. Bhadra, D. Kastha, S. Banerjee, Wind Electrical Systems (Oxford University Press, New Delhi, 2009).

R. Pena, J. C. Clare, and G. M. Asher “Doubly fed induction generator using back-to-back PWM converters and its application to variable speed wind-energy generation”, Proc. Inst. Elect. Eng., Electric Power Applications, vol. 143, 1996 pp. 231–241.

Sathish Choudhury, Dr. K.B. Mohanty. (2011). “Performance Analysis of Doubly-fed Induction Generator in Wind Energy Conversion System”,M. Tech Thesis, National Institute of Technology, Rourkela.

Ljung, “System Identification Theory for the User”, (Prentice Hall India, 1987).

Ania Lusso´ n Cervantes, Osvaldo E. Agamennoni, Jose´ L. Figueroa. “A nonlinear model predictive control system based on Wiener piecewise linear models”, Journal of Process Control, vol. 13, 2003, pp. 655-666.

Gregor Dolanc, Stanko Strmcnik, “Identification of Nonlinear Systems Using a Piecewise-Linear Hammerstein Model”, Systems & Control Letters, vol. 54, 2005, pp. 145-158.

Oliver Nelles, “Nonlinear System identification”, (Springer- verlag Berlin, Heidelberg 2001).

Zulfatman and M. F. Rahmat, “Application of Self-Tuning Fuzzy PID Controller on Industrial Hydraulic Actuator Using System Identification Approach”, International Journal on Smart Sensing and Intelligent Systems, Vol. 2, No. 2, 2009.


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