Neural Predictive Control of a Doubly Fed Induction Generator
(*) Corresponding author
Doubly-Fed Induction Generators (DFIGs) are widely used in large wind turbines. This is primarily due to the many advantages DFIGs offer over other types of generators in applications where the mechanical power provided by the prime mover varies greatly. Power control of the DFIG usually uses a Proportional Integral Decoupled control PI-D strategy due to its simplicity of implementation. However, the design of its fixed gains is very complex, since it depends on the exact mathematical model of the generator. To handle this problem, this paper investigates an efficient and robust control method for the DFIG in order to control the active and reactive power flows. The basic idea of an Artificial Neural Network Generalized Predictive Controller (ANNGPC) is to operate in two modes: prediction and control. It generates a sequence of future control signals within each sampling interval to optimize the control effort. The NNGPC performances are compared in terms of reference tracking, sensitivity to perturbations and robustness against parameters variations.
Copyright © 2014 Praise Worthy Prize - All rights reserved.
H. Karimi-Davijani, A. Sheikholeslami, H. Livani and M. Karimi-Davijani, “Fuzzy Logic Control of Doubly Fed Induction Generator Wind Turbine”, World Applied Sciences Journal 6 (4), pp: 499-508, 2009.
Jing, Xin, "Modeling and Control of a Doubly-Fed Induction Generator for Wind Turbine-Generator Systems" (2012). Master's Theses (2009), Paper 167.
Wei Qiao, Wei Zhou, José M. Aller, and Ronald G. Harley, “Wind Speed Estimation Based Sensorless Output Maximization Control for a Wind Turbine Driving a DFIG”, IEEE Transactions on Power Electronics, Vol. 23, No. 3, pp. 1156-1169, May 2008.
Touati, A., Abouloifa, A., Abd Elmounim, E., Aboulfatah, M., Majdoul, R., Moutabir, A., Modeling and control of a three phase DC-AC converter connected to the network for a wind power system equipped with a DFIG, (2014) International Review on Modelling and Simulations (IREMOS), 7 (2), pp. 231-237.
Abid, A., Ben Hamed, M., Sbita, L., Multimodel modeling of doubly fed induction motor, (2014) International Review on Modelling and Simulations (IREMOS), 7 (2), pp. 238-244.
Riouch, T., El-Bachtiri, R., Salhi, M., Robust sliding mode control for smoothing the output power of DFIG Under Fault Grid, (2013) International Review on Modelling and Simulations (IREMOS), 6 (4), pp. 1264-1270.
Benbouzid, M., Beltran, B., Ezzat, M., Breton, S., DFIG driven wind turbine grid fault-tolerance using high-order sliding mode control, (2013) International Review on Modelling and Simulations (IREMOS), 6 (1), pp. 29-32.
M.R. Esmaeeli, R. Kianinezhad, M. Razzaz , “Field Oriented Control of DFIG in Wind Energy Conversion Systems”, J. Basic. Appl. Sci. Res., 2(11), pp. 11486-11493, 2012.
L. Qian, K. Hameyer, “A direct torque and reactive power control approach for doubly fed induction generator in wind turbine applications”, 02 - 05 September, 2012, XXth International Conference on Electrical Machines ICEM, Marseille, France, pp. 804 – 809, 2012.
A.J. Sguarezi Filho, E.R. Filho, “Model-Based Predictive Control Applied to the Doubly-Fed Induction Generator Direct Power Control”, IEEE Transactions on Sustainable Energy, Volume 3, pp. 398 – 406, July 2012.
Abo-Khalil, H. Abo-Zied, “Sensorless control for DFIG wind turbines based on support vector regression”, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, pp. 3475 – 3480, 2012.
D.V. N. Truong, G. Fujita, “Nonlinear control of DFIG under symmetrical voltage dips with demagnetizing current solution” IEEE International Conference on Power System Technology (POWERCON), pp. 1 – 5, 2012.
Arantxa Tapia, Gerardo Tapia, J. Xabier Ostolaza and José Ramón Sáenz, “Modeling and Control of a Wind Turbine Driven Doubly Fed Induction Generator”, IEEE Transactions on Energy Conversion, Vol. 18, No. 2, pp. 194-204, June 2003.
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,” IEE Proceedings Electric Power Applications, Vol. 143, No. 3, pp. 231-241, May 1996.
S. Chondrogiannis and M. Barnes, “Stability of Doubly-Fed Induction Generator Under Stator Voltage Orientated Vector Control”, IET Renewable Power Generation, Vol. 2, No. 3, pp. 170-180, September 2008.
Carles Batlle, Arnau D`oria-Cerezo and Romeo Ortega, “A Stator Voltage Oriented PI Controller For The Doubly-Fed Induction Machine”, Proceedings of the 2007 American Control Conference, New York City, USA, pp. 5438-5443, July 2007.
Shuhui Li, Rajab Challoo and Marty J. Nemmers, “Comparative Study of DFIG Power Control Using Stator-Voltage and Stator-Flux Oriented Frames”, IEEE Power & Energy Society General Meeting, pp. 1-8, July 2009.
I. Takahashi and T. Noguchi, “A New Quick-Response and High Efficiency Control Strategy of an Induction Machine,” IEEE Transaction on Industry Application, Vol. 22, No. 5, pp. 820-827, October 1986.
I. Takahashi and Y. Ohmori, “High-Performance Direct Torque Control of an Induction Motor,” IEEE Transaction on Industry Application, Vol. 25, No. 2, pp. 257-264, March/April 1989.
Toshihiko Noguchi, Hiroaki Tomiki, Seiji Kondo and Isao Takahashi, “Direct Power Control of PWM Converter Without Power-Source Voltage Sensors”, IEEE Transaction on Industry Application, Vol. 34, No. 3, pp. 473-479, May/June 1998.
Domenico Casadei, Francesco Profumo, Giovanni Serra and AngeloTani, “FOC and DTC: Two Viable Schemes for Induction Motors Torque Control”, IEEE Transactions on Power Electronics, Vol. 17, No. 5, pp. 779-787, September 2002.
Thomas G. Habetler, Francesco Profumo, Michele Pastorelli and Leon M. Tolbert, “Direct Torque Control of Induction Machines Using Space Vector Modulation”, IEEE Transactions on Industry Applications, Vol. 28, No. 5, pp. 1045-1053, September / October 1992.
S. Arnalte, J. C. Burgos and J. L. Rodríguez-Amenedo, “Direct Torque Control of a Doubly-Fed Induction Generator for Variable Speed Wind Turbines”, Electric Power Components and Systems, Vol. 30, No. 2, pp. 199-216, November 2002.
K. C. Wong, S. L. Ho and K. W. E. Cheng, “Direct Torque Control of a Doubly-fed Induction Generator with Space Vector Modulation”, Electric Power Components and Systems, Vol. 36, No. 12, pp. 1337-1350, November 2008.
F. Bonnet, P. E. Vidal and M. Pietrzak-David, “Direct Torque Control of Doubly Fed Induction Machine”, Bulletin of The Polish Academy of Sciences Technical Sciences, Vol. 54, No. 3, pp. 307-314, 2006.
Z. Liu, O. A. Mohammed and S. Liu, “A Novel Direct Torque Control Induction Generator Used for Variable Speed Wind Power Generation”, IEEE Power Engineering Society General Meeting, pp. 1-6, June 2007.
Etienne Tremblay, Sergio Atayde, and Ambrish Chandra, “Comparative Study of Control Strategies for the Doubly Fed Induction Generator in Wind Energy Conversion Systems: A DSP-Based Implementation Approach”, IEEE Transactions on Sustainable Energy, Vol. 2, No. 3, pp. 288-299, July 2011.
Mariusz Malinowski, Marian P. Kazmierkowski and Andrzej M. Trzynadlowski, “A Comparative Study of Control Techniques for PWM Rectifiers in AC Adjustable Speed Drives”, IEEE Transactions on Power Electronics, Vol. 18, No. 6, pp. 1390-1396, November 2003.
Taufik Abrão, “Search Algorithms for Engineering Optimization” Edited by, ISBN 978-953-51-0983-9, Hard cover, 284 pages, Publisher: InTech, Chapter 7: “An Adaptive Neuro-Fuzzy Strategy for a Wireless Coded Power Control in Doubly-Fed Induction aerogenerators” , pp. 175-199, published February 13, 2013.
M. A. SNYDER, “Development of Simplified Models of Doubly-Fed Induction Generators (DFIG)”, Master of Science Thesis, Department of Energy and Environment, Division of Electric Power Engineering, Chalmers University of Technology,Goteborg, Sweden 2012.
A. Boyette, “ Controle-Commande d’un generateur asynchrone à double alimentation avec système de stockage pour la production éolienne ”, Thesis 2006, université Henri Poincaré, Nancy, France.
Magzan Peri A., Petrovi N. I., Generalized Predictive Controller Applied in Boost Converter Input Current Control, CD-Rom proceedings of the 8th European Conference on Power Electronics and Applications -EPE’99, Paper # 537, Lausanne, Switzerland, (1999).
Nguyen, D. and Widrow, B. , Neural networks for self-learning control systems - IEEE Control Systems Magazine, April, 18-23, 1990.
C. E. Russell Eberhart, S. Yuhui “Computational Intelligence: Concepts to Implementations” Amsterdam ; Boston : Elsevier/Morgan Kaufmann Publishers, chapter 5, page 145, 2007
S. Chidrawar, B. P. and L.Waghmare, “Neural Generalized Predictive Control for Industrial Processes, Automation Control - Theory and Practice, A D Rodi (Ed.), ISBN: 978-953-307-039-1, 2009.
M. Mokhtari, M. Mari, “Application de MATLAB et SIMULINK”, Springer-Verlag France, 1998.
- There are currently no refbacks.
Please send any question about this web site to email@example.com
Copyright © 2005-2023 Praise Worthy Prize