Open Access
Subscription Access
A Novel Control Strategy Study for DFIG-based Wind Turbine
In recent years the use of renewable energy including wind energy has risen dramatically. Because of the increasing development of wind power production, improvement of the control of wind turbines using classical or intelligent methods is necessary. In this paper, in order to control the power of wind turbine equipped with DFIG, a novel intelligent controller based on the human mind's emotional learning is designed. The performance of proposed controller is confirmed by simulation results. Some outstanding properties of this new controller are online implementation capability, structural simplicity and its robustness against any changes in wind speed and system parameters variations.
Keywords
Double Fed Induction Generator(DFIG), Emotional Learning, Wind Turbine, Intelligent Controller
User
Information
- Astrom, K. J. and Hagglund, T., (1995) PID Controller: Theory, Design, and Tuning, 2nd edition.
- Tapia, G., Tapia, A. and Ostolaza, J. X., (2006) Two Alternative Modeling Approaches for the Evaluation of Wind Farm Active and Reactive Power Performances, IEEE Trans. on Energy Conversion, Vol. 21, pp. 909-920.
- Hand, M. M. and Balas, M. J., (1998) Systematic Approach for PID Controller Design for Pitch-Regulated, Variable-Speed Wind Turbines, 17th ASME Wind Energy Symposium Proceedings, pp. 89–94.
- Beltran, B., Ahmed-Ali, T. and Benbouzid, M. E., (2008) Sliding Mode Power Control of Variable-Speed Wind Energy Conversion Systems, IEEE Trans. on Energy Conversion, June.
- Utkin, V. I., “Sliding Mode Control Design Principles and Applications to Electric drives, (1993) IEEE Trans. on Industrial Electronics., Vol. 40, pp. 23–36.
- Lascu, C., Boldea, I. and Blaabjerg, F., (2004) Direct Torque Control of Sensorless Induction Motor Drives: a Sliding- Mode Approach,” IEEE Trans. on Industrial Applications, Vol. 40, pp.582–590.
- Zhang, X.-Y., Cheng. J. and Wang, W.-Q., (2008) The Intelligent Control Method Study of Variable Speed Wind Turbine Generator, ICSET.
- Jerbi, L., Krichen, L. and Ouali, A., (2009) A Fuzzy Logic Supervisor for Active and Reactive Power Control of a Variable Speed Wind Energy Conversion System Associated to a Flywheel Storage System, Electric Power Systems Research, Vol. 79, pp. 919–925.
- B. Boukhezzar and H. Siguerdidjane, (2009) Nonlinear control with wind estimation of a DFIG variable speed wind turbine for power capture optimization, Energy Conversion and Management, vol. 50, pp. 885–892.
- L. Fan, H. Yin and Z. Miao, (2011) A novel control scheme for DFIG-based wind energy systems under unbalanced grid conditions, Electric Power Systems Research, vol. 81, pp. 254–262.
- H. Nian and H. Xuh, (2011) Dynamic modeling and improved control of DFIG under distorted grid voltage conditions, IEEE Transaction on Power System, vol. 26, no. 1, pp.163–175.
- Ion. Boldea, (2006) A The Electric Generators Handbook VARIABLE SPEED GENERATORS, J. CRC Press, the United State of America.
- J. Moren, and Balkenius, (2000) A Computational Model of Emotional Learning in the Amygdala, from animals to animals 6: Proc. of the 6th International Conference on the Simulation of Adaptive Behaviour, Cambridge, Mass., (the MIT Press).
Abstract Views: 524
PDF Views: 124