THERMAL SCIENCE

International Scientific Journal

Predrag M. Živković

,

Vlastimir D. Nikolić

,

Gradimir S. Ilić

,

Žarko M. Ćojbašić

,

Ivan T. Ćirić

HYBRID SOFT COMPUTING CONTROL STRATEGIES FOR IMPROVING THE ENERGY CAPTURE OF A WIND FARM

ABSTRACT
In this paper, a fuzzy controller is proposed for wind turbine control. A model is analyzed and combined with a stochastic wind model for simulation purposes. Based on the model, a fuzzy control of wind turbine is developed. Wind turbine control loop provides the reference inputs for the electric generator control loop in order to make the system run with maximum power. Since the wind speed involved in the aerodynamic equations is a stochastic variable, whose effective value cannot be measured directly, a wind speed estimator is also proposed.[Projekat Ministarstva nauke Republike Srbije, br. TR33036/2011: Development of new meteorological mast for turbulence parameters characterization and br. TR35005/2011: Research and development of new generation wind turbines of high-energy efficiency]
KEYWORDS
computational intelligence, fuzzy control, wind turbine, wind data estimation
PAPER SUBMITTED: 2012-05-03
PAPER REVISED: 2012-07-02
PAPER ACCEPTED: 2012-07-10
DOI REFERENCE: https://doi.org/10.2298/TSCI120503185Z
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2012, VOLUME 16, ISSUE Supplement 2, PAGES [S483 - S491]
REFERENCES
  1. Jones, R., Smith, G. A., High quality mains power from variable speed wind turbines, Wind Eng., 18 (1994), 1, pp. 45-49
  2. Freeman, J. B., Balas, M. J., Direct model reference adaptive control of a variable speed horizontal axis wind turbines, Wind Eng., 22 (1998), 5, pp. 25-33
  3. Æiriæ, I., et al, Hybrid Fuzzy Control Strategies for Variable Speed Wind Turbines, Facta Universitatis, Series: Automatic Control and Robotics, 10 (2011), 2, pp. 205 - 217
  4. Boukhezar B., Siguerdidjane, H., Hand, M., Nonlinear control of variable-speed wind turbines for generator torque limiting and power optimization, ASME Journal of Solar Energy Engineering, 128 (2006), 4, pp. 516-530
  5. Idan, M., Lior, D., Continuously variable speed wind turbine: transmission concept and robust control, Wind Eng., 24 (2000), 3, pp. 151-167
  6. Song, Y., Dhinakaran, D. B., Bao X. Y., Variable speed control of wind turbines using nonlinear and adaptive algorithms, Journal of Wind Engineering and Industrial Aerodynamics, 85 (2000), pp. 293-308
  7. Song, Y. D., Control of wind turbines using memory-based method, Journal of Wind Engineering and Industrial Aerodynamics, 85 (2000), pp. 263-275
  8. Boukhezar, B., Siguerdidjane, H., Nonlinear control of variable speed wind turbines without wind speed measurement, Proceedings, 44th IEEE conference 2005: decision and control 2005 and 2005 European control conference, CDC-ECC '05 , 2005, pp. 3456-3461
  9. Boukhezar, B., Siguerdidjane, H., Comparison between linear and nonlinear control strategies for variable speed wind turbines, Control Engineering Practice, 18 (2010), pp. 1357-1368
  10. Camblong, H., Tapia, G., Rodriguez, M., Robust digital control of a wind turbine for rated-speed and variable-power operation regime, IEE Proc.-Control Theory Appl., 153 (2006), 1, pp. 81-91
  11. Zhang, X., et al., Fuzzy control used in variable speed wind turbine, Proceedings, International Conference on Automation and Logistics, ICAL '09. IEEE, 2009, on CD
  12. Xingjia, Y., Changchun, G., Zuoxia, X., Yan, L., Shu, L., Variable speed wind turbine maximum power extraction based on fuzzy logic control, Proceedings, International Conference on Intelligent Human- Machine Systems and Cybernetics, IHMSC '09., 2009, on CD
  13. Nikoliæ, V., et al., Advanced PID controller design for continuously variable transmission, Proceedings, Research and development of mechanical elements and systems IRMES, Zlatibor, Serbia, 2011, pp.157- 162
  14. Pang, W. K., Forster,J. J., Troutt, M. D., Estimation of wind speed distribution using Markov chain Monte Carlo techniques, Journal of Applied Metrology, 40 (2001), pp. 1476-148
  15. Živkoviæ, P., et al., Wind Energy Potentials On Stara Planina Mountain, Proceedings, 15th Symposium on Thermal Science and Engineering of Serbia SIMTERM, Sokobanja, Serbia, 2011, on CD
  16. Živkoviæ, P., Wind energy estimations in terrain with complex orography - comparative methodology analysis, Master thesis, Faculty of Mechanical Engineering, University of Niš, Niš, Serbia, 2006
  17. ***, WAsP (Wind Atlas Analysis and Application Program), Wind Energy Department at Riso National Laboratory, Denmark
  18. ***, WindSim - Delft University, Denmark, available as module of PHOENICS software package
  19. ***, Weather Underground , www.wunderground.com/history
  20. Bianchi, F. D., Battista H. D., Mantz, R. J., Wind turbine control systems: Principles modelling and gain scheduling design (2nd ed.), Springer, London, UK, 2006
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Hybrid soft computing control strategies for improving the energy capture of a wind farm

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence