Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Pitch Angle Control and Wind Speed Prediction Method Using Inverse Input-Output Relation of a Wind Generation System

  • Hyun, Seung Ho (School of Electrical Engineering, University of Ulsan) ;
  • Wang, Jialong (CDT Biding Dept. China National Water Resources & Electric Power Materials & Equipment Co, Ltd.)
  • Received : 2013.04.24
  • Accepted : 2013.07.01
  • Published : 2013.09.01
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Abstract

In this paper, a sensorless pitch angle control method for a wind generation system is suggested. One-step-ahead prediction control law is adopted to control the pitch angle of a wind turbine in order for electric output power to track target values. And it is shown that this control scheme using the inverse dynamics of the controlled system enables us to predict current wind speed without an anemometer, to a considerable precision. The inverse input-output of the controlled system is realized by use of an artificial neural network. The proposed control and wind speed prediction method is applied to a Double-Feed Induction Generation system connected to a simple power system through computer simulation to show its effectiveness. The simulation results demonstrate that the suggested method shows better control performances with less control efforts than a conventional Proportional-Integral controller.

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References

  1. J. F. Manwell, J. G. MacGowan and A. L. Rogers, Wind Energy Explained, John Wiley & Sons, 2009.
  2. S. Heier, Grid Integration of Wind Energy conversion Systems, John Wiley & Sons, 2006.
  3. L. Y. Pao and K. E. Jonson, "Control of wind turbines", IEEE Control System Magazine, April, 2011.
  4. T. Senjyu, R. Sakamoto, N. Urasaki, T. Funabashi, H. Fujita, and H. Sekine, "Output Power Leveling of Wind Turbine Generator for All Operating Regions by Pitch Angle Control," IEEE Trans. on Energy Conversion., vol. 21, no. 2, pp. 467-475, Jun. 2006. https://doi.org/10.1109/TEC.2006.874253
  5. L. C. Chien, W. T. Lin and Y. C. Yin, "Enhancing Frequency Response Control of DFIGs in the High Wind Genetrated Power Systems", IEEE Trans. On Power Systems, vol. 26, no. 2, pp. 710-718, 2011. https://doi.org/10.1109/TPWRS.2010.2052402
  6. O. A. Baqi and A Nasisi, "Series Voltage Compensation for DFIG Wind Turbine Low-Voltage Ride Through Solution", IEEE Trans. On Energy Conversion, vol. 26, no. 1, pp. 272-280, 2011. https://doi.org/10.1109/TEC.2010.2094620
  7. H. J. Lee, G. T. Son and J. W. Park, "Study on Wind-Turbine Generator System Sizing Considering Voltage Regulation and Overcurrent Relay Coordination", IEEE Trans. On Power Systems, vol. 26, no. 3, pp. 1283-1293, 2011. https://doi.org/10.1109/TPWRS.2010.2091155
  8. H. M. Nguyen and D Subbaram, "Advanced Control Strategies for Wind Energy Systems: An Overview", Proceedings of 2011 IEEE PSCE, 20-23, March, 2011.
  9. W.E. Leithead, S. de la Salle and D. Reardon, "Role and objectives of control for wind turbines", IEE Proceedings-C, vol. 138, no. 2, pp.135-148, 1991.
  10. L. C. Chien, W. T. Lin, and Y. C. Yin, "Enhancing Frequency Response Control by DFIGs in the High Wind Penetrated Power Systems", IEEE Trans. on Power Systems, vol. 26, no. 2, pp. 710-718, 2011. https://doi.org/10.1109/TPWRS.2010.2052402
  11. E. Muljadi and C. P. Butterfiled, "Pitch-Controlled Variable-Speed Wind Turbine Genneration", IEEE Trans. on Industrial Applications, vol. 37, no. 2, pp. 240-246, 2001. https://doi.org/10.1109/28.903156
  12. R. Sakamoto, T. Senju, T. Kinjo, N. Urasaki, T. Funabashi, H. Fujita and H. Sekine, "Output Power Leveling of Wind Turbine Generator for All Operating Regions by Pitch Angle Control", IEEE Trans. on Energy Conversion, vol. 21, no. 2, 467-475, 2006 https://doi.org/10.1109/TEC.2006.874253
  13. H. Geng and G. Yang, " Robust Pitch Controller for Output Power Levelling of Variable-Speed Variable-Pitch Wind Turbine Generator Systems", IET Renew. Power Gener., vol. 3, iss. 2, pp. 168-179, 2009. https://doi.org/10.1049/iet-rpg:20070043
  14. H. Geng and G. Yang, "Output Power Control for Variable-Speed Variable-Pitch Wind Generation Systems", IEEE Trans. on Energy Conversion, vol. 25, no. 2, 494-503, 2010. https://doi.org/10.1109/TEC.2009.2034366
  15. H. Takaai, Y. Chida, K. Sakurai and T. Isobe, "Pitch Angle Control of Wind Turbine Generator using Less Conservative Robust Control", Proceedings of 18th IEEE Conf. on Control Applications, pp. 542-547, 2009
  16. X. Yao, X. Su and L. Tian," Pitch Angle Control of Variable Pitch Wind Turbines based on Neural Network PID", Proceedings of 4th Int. Conf. on Industrial Electronics and Applications, pp. 3235-3239, 2009.
  17. Z. Lubosny and J. W. Bialek,"Supervisory Control of a Wind farm", IEEE Trans. on Power Systems, vol. 22, no. 3, 985-994, 2007. https://doi.org/10.1109/TPWRS.2007.901101
  18. M. Soliman O.P. Malik D.T. Westwick, "Multiple Model Multiple-Input Multiple-Output Predictive Control for Variable Speed Variable Pitch Wind Energy Conversion Systems", IET Renew. Power Gener., vl. 5, iss. 2, pp. 124-136, 2011. https://doi.org/10.1049/iet-rpg.2009.0137
  19. H. Geng, W. Zhou, and G. Yang, "Inverse-system control approach for variable speed variable pitch wind generator," in Proc. IEEE 33rd Annu. Conf. Ind. Electron. Soc, Taipei, China, Nov. 2007, pp. 1627-1632.
  20. H. Li, K. L. Shi, and P. G. McLaren, "Neural-networkbased sensorless maximum wind energy capture with compensated power coefficient," IEEE Tran. Ind. Appl., vol. 41, no. 6, pp. 1548-1556, Nov./Dec. 2005. https://doi.org/10.1109/TIA.2005.858282
  21. S. Bhowmik, R. Spee, and J. H. R. Enslin, "Performance optimization for doubly fed wind power generation systems," IEEE Trans. Ind. Appl., vol. 35, no. 4, pp. 949-958, Jul./Aug. 1999. https://doi.org/10.1109/28.777205
  22. K. Tan and S. Islam, "Optimal control strategies in energy conversion of PMSG wind turbine system without mechanical sensors," IEEE Trans. Energy Conversion, vol. 19, no. 2, pp. 392-399, Jun. 2004. https://doi.org/10.1109/TEC.2004.827038
  23. M. G. Simoes, B. K. Bose, and R. J. Spiegel, "Fuzzy logic based intelligent control of a variable speed cage machine wind generation system," IEEE Trans. Power Electron., vol. 12, no. 1, pp. 87-95, Jan. 1997. https://doi.org/10.1109/63.554173
  24. W. Qiao, W. Zhou, J. M. Aller and R. G. Harley, "Wind Speed Estimation Based Sensorless Output Maximization Control for a Wind Turbine Driving DFIG", IEEE Trans. on Power Electronics, vol. 23, no. 3, pp. 1156-1169, 2008. https://doi.org/10.1109/TPEL.2008.921185
  25. Task Force on the Capacity Value of Wind Power, IEEE Power and Energy Society," Capacity Value of Wind Power", IEEE Trans. on Power Systems, vol. 26, no. 2, pp. 564-1975, 572.
  26. Y. M. Park, S. H. Hyun and J. H. Lee," A synchronous generator stabilizer design using neuro inverse controller and error reduction network", IEEE Trans. on Power Systems, vol. 11, no. 4, pp. 1969-1975, 1996. https://doi.org/10.1109/59.544672
  27. Da Jiang XU, "A Further Study on the Exponential Smoothing Estimation Method for Parameters of Forecasting Model and Its Application", 1999, 19(2): 25-30.

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