We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Collaboration of Nonlinear Control Strategy and Pitch Angle Control of DFIG Equipped Wind Turbine during all Operating Regions

by Moussa Reddak, Abdelmajid Berdai, Ayoub Nouaiti, Vladimir Vlasenko
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 25
Year of Publication: 2018
Authors: Moussa Reddak, Abdelmajid Berdai, Ayoub Nouaiti, Vladimir Vlasenko
10.5120/ijca2018916531

Moussa Reddak, Abdelmajid Berdai, Ayoub Nouaiti, Vladimir Vlasenko . Collaboration of Nonlinear Control Strategy and Pitch Angle Control of DFIG Equipped Wind Turbine during all Operating Regions. International Journal of Computer Applications. 179, 25 ( Mar 2018), 16-21. DOI=10.5120/ijca2018916531

@article{ 10.5120/ijca2018916531,
author = { Moussa Reddak, Abdelmajid Berdai, Ayoub Nouaiti, Vladimir Vlasenko },
title = { Collaboration of Nonlinear Control Strategy and Pitch Angle Control of DFIG Equipped Wind Turbine during all Operating Regions },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2018 },
volume = { 179 },
number = { 25 },
month = { Mar },
year = { 2018 },
issn = { 0975-8887 },
pages = { 16-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number25/29088-2018916531/ },
doi = { 10.5120/ijca2018916531 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:56:27.881654+05:30
%A Moussa Reddak
%A Abdelmajid Berdai
%A Ayoub Nouaiti
%A Vladimir Vlasenko
%T Collaboration of Nonlinear Control Strategy and Pitch Angle Control of DFIG Equipped Wind Turbine during all Operating Regions
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 25
%P 16-21
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wind energy has marked in these last decades a great growth view its interest that present. But this energy is entirely dependent on the wind flow which is random and uncertain in the nature, and which can exceed the rated wind speed. So, the wind turbine must be protected against mechanical overload and possible risk of damages. In this paper, a control strategy of wind turbine equipped with the doubly fed induction generator DFIG is proposed for different wind regions. The interest of this control strategy is to extract the maximum power at wind speed below the rated value. Otherwise its objective is to protect the wind turbine and maintain the active power when the wind speed is above the rated value. To achieve a fast response of active and reactive powers that are controlled by the rotor currents, a nonlinear control based on the backstepping strategy is suggested. The simulation results reveal a better tracking of the references, and exploitation of the wind turbine in different wind regions.

References
  1. J. G. Cardoso, I. R. S. Casella, A. J. S. Filho, F. F. Costa, and C. E. Capovilla, “SCIG wind turbine wireless controlled using morphological fi ltering for power quality enhancement,” Renew. Energy, vol. 92, pp. 303–311, 2016.
  2. L. Meegahapola, T. Littler, and S. Perera, “Electrical Power and Energy Systems Capability curve based enhanced reactive power control strategy for stability enhancement and network voltage management,” Int. J. Electr. POWER ENERGY Syst., vol. 52, pp. 96–106, 2013.
  3. M. J. Zandzadeh and A. Vahedi, “Electrical Power and Energy Systems Modeling and improvement of direct power control of DFIG under unbalanced grid voltage condition,” Int. J. Electr. Power Energy Syst., vol. 59, pp. 58–65, 2014.
  4. P. Zhou, S. Member, Y. He, S. Member, and D. Sun, “Improved Direct Power Control of a DFIG-Based Wind Turbine During Network Unbalance,” vol. 24, no. 11, pp. 2465–2474, 2009.
  5. M. A. A. Rani, C. Nagamani, and G. S. Ilango, “A versatile method for computation of power pulsations in DFIG under grid imperfections,” Renew. Energy, vol. 88, pp. 143–153, 2016.
  6. M. A. Chowdhury, N. Hosseinzadeh, and W. Shen, “Fuzzy logic systems for pitch angle controller for smoothing wind power fluctuations during below rated wind incidents,” pp. 1–7, 2011.
  7. M. Quan, F. Grimaccia, S. Leva, M. Mussetta, and E. Ogliari, “Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system,” Renew. Energy, 2014.
  8. T. Senjyu, R. Sakamoto, S. Member, and N. Urasaki, “Output Power Leveling of Wind Turbine Generator for All Operating Regions by Pitch Angle Control,” vol. 21, no. 2, pp. 467–475, 2006.
  9. Y. Lei, A. Mullane, G. Lightbody, and R. Yacamini, “Modeling of the Wind Turbine With a Doubly Fed Induction Generator for Grid Integration Studies,” vol. 21, no. 1, pp. 257–264, 2006.
  10. A. Hwas and R. Katebi, Wind Turbine Control Using PI Pitch Angle Controller, vol. 45, no. 3. IFAC, 2008.
  11. J. Zhang, M. Cheng, Z. Chen, and X. Fu, “Pitch Angle Control for Variable Speed Wind Turbines,” no. April, pp. 2691–2696, 2008.
  12. A. B. Moreira, T. A. S. Barros, V. S. C. Teixeira, and E. Ruppert, “Power control for wind power generation and current harmonic fi ltering with doubly fed induction generator,” Renew. Energy, vol. 107, pp. 181–193, 2017.
  13. B. Yang, L. Jiang, L. Wang, W. Yao, and Q. H. Wu, “Electrical Power and Energy Systems Nonlinear maximum power point tracking control and modal analysis of DFIG based wind turbine,” vol. 74, pp. 429–436, 2016.
  14. V. Rama, R. Rudraraju, C. Nagamani, and G. S. Ilango, “Electrical Power and Energy Systems A control scheme for improving the efficiency of DFIG at low wind speeds with fractional rated converters,” Int. J. Electr. Power Energy Syst., vol. 70, pp. 61–69, 2015.
  15. A. Moussa REDDAK, Berdai and A. B. Anass Gourma, “Integral Backstepping Control based Maximum Power Point Tracking strategy for Wind Turbine systems driven DFIG,” in nd International Conference on Electrical and Information Technologies ICEIT’20 16 Integral, 2016.
  16. M. A. Chowdhury, N. Hosseinzadeh, and W. X. Shen, “Smoothing wind power fl uctuations by fuzzy logic pitch angle controller,” Renew. Energy, vol. 38, no. 1, pp. 224–233, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Wind turbine DFIG control strategy wind regions backstepping strategy.