A FUZZY-PI CONTROLLER FOR WIND TURBINE DRIVEN DFIG OPTIMIZED USING GENETIC ALGORITHMS

Lawrence K. Letting, Josiah L. Munda, Yskandar Hamam

2011

Abstract

This paper presents the design of optimal TSK-fuzzy PI controller for the rotor side converter (RSC) of a doubly fed induction generator (DFIG) in a grid connected wind generation system. The optimization strategy is based on binary genetic algorithms. The controller is used to regulate the active and reactive power and hence extract maximum energy from the system under varying wind speeds. Pitch angle control is used to regulate the rotor angular speed while the active and reactive power are controlled by the rotor voltage supplied by the RSC. The stator flux oriented reference frame is adopted. A fuzzy-PI controller with a minimum rule base of nine rules is realized. The controller is implemented in C code as a dynamic linked library and simulated using LabVIEW. Simulation results are presented.

References

  1. Abedi, A., Pishvaei, M., Madadi, A., and Kelk, H. M. (2010). Analyzing vector control of a grid-connected dfig under simultaneous changes of two inputs of control system. European Journal of Scientific Research, 45(2):221-231.
  2. Abo-Khalil, A., Lee, D.-C., and Jang, J.-I. (2007). Control of back-to-back pwm converters for dfig wind turbine systems under unbalanced grid voltage. In Industrial Electronics, 2007. ISIE 2007. IEEE International Symposium on, pages 2637 -2642.
  3. Bose, B. K. (2002). Modern Power Electronics and AC Drives. Prentice-Hall, Inc.
  4. Elshafei, A. and Azzouz, M. (2011). Adaptive fuzzy regulation of the dc-bus capacitor voltage in a wind energy conversion system (wecs). Expert Systems with Applications, 38(5):5500 - 5506.
  5. Leite, H., Barros, J., and Miranda, V. (2009). Evolutionary algorithm epso helping doubly-fed induction generators in ride-through-fault. In PowerTech, 2009 IEEE Bucharest, pages 1 -8.
  6. Lin, W.-M., Hong, C.-M., and Cheng, F.-S. (2011). Design of intelligent controllers for wind generation system with sensorless maximum wind energy control. Energy Conversion and Management, 52(2):1086 - 1096.
  7. Munteanu, I., Bratcu, A. I., Cutululis, N.-A., and Ceanga?, E. (2008). Optimal Control of Wind Energy Systems, Towards a Global Approach. Springer-Verlag, London.
  8. Pena, R., Clare, J., and Asher, G. (1996). Doubly fed induction generator using back-to-back pwm converters and its application to variable-speed wind-energy generation. Electric Power Applications, IEE Proceedings -, 143(3):231 -241.
  9. Ren, Y., Li, H., Zhou, J., An, Z., Liu, J., Hu, H., and Liu, H. (2009). Dynamic performance analysis of grid-connected dfig based on fuzzy logic control. In Mechatronics and Automation, 2009. ICMA 2009. International Conference on, pages 719 -723.
  10. Vieira, J., Nunes, M., and Bezerra, U. (2008). Design of optimal pi controllers for doubly fed induction generators in wind turbines using genetic algorithm. In Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE, pages 1 -7.
Download


Paper Citation


in Harvard Style

K. Letting L., L. Munda J. and Hamam Y. (2011). A FUZZY-PI CONTROLLER FOR WIND TURBINE DRIVEN DFIG OPTIMIZED USING GENETIC ALGORITHMS . In Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-8425-78-2, pages 348-353. DOI: 10.5220/0003601403480353


in Bibtex Style

@conference{simultech11,
author={Lawrence K. Letting and Josiah L. Munda and Yskandar Hamam},
title={A FUZZY-PI CONTROLLER FOR WIND TURBINE DRIVEN DFIG OPTIMIZED USING GENETIC ALGORITHMS},
booktitle={Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2011},
pages={348-353},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003601403480353},
isbn={978-989-8425-78-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - A FUZZY-PI CONTROLLER FOR WIND TURBINE DRIVEN DFIG OPTIMIZED USING GENETIC ALGORITHMS
SN - 978-989-8425-78-2
AU - K. Letting L.
AU - L. Munda J.
AU - Hamam Y.
PY - 2011
SP - 348
EP - 353
DO - 10.5220/0003601403480353