Call for Paper - November 2022 Edition
IJCA solicits original research papers for the November 2022 Edition. Last date of manuscript submission is October 20, 2022. Read More

Wind Energy System MVA Profile Enhancement based on Feedback Quadratic Function Controller

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Firas M. Tuaimah
10.5120/ijca2017915833

Firas M Tuaimah. Wind Energy System MVA Profile Enhancement based on Feedback Quadratic Function Controller. International Journal of Computer Applications 178(6):21-26, November 2017. BibTeX

@article{10.5120/ijca2017915833,
	author = {Firas M. Tuaimah},
	title = {Wind Energy System MVA Profile Enhancement based on Feedback Quadratic Function Controller},
	journal = {International Journal of Computer Applications},
	issue_date = {November 2017},
	volume = {178},
	number = {6},
	month = {Nov},
	year = {2017},
	issn = {0975-8887},
	pages = {21-26},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume178/number6/28679-2017915833},
	doi = {10.5120/ijca2017915833},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

With the increase in the wind turbine power and size, its control system plays an important role to operate it in safe region and also to improve energy conversion efficiency and output power quality. In this paper a feedback quadratic function controller1 for controlling a wind1 energy1 system is presented. A1 nonlinear wind1 energy system has been linearized and simulated using MATLAB programming language. An enhanced profile has been acquired for active and reactive power when adopting the feedback quadratic controller, through checking the settling time of the step response.

References

  1. Z. Boudjema, A. Meroufel and Y. Djerriri, "Nonlinear control of a doubly fed induction generator for wind energy conversion", Carpathian Journal of Electronic and Computer Engineering, 6/1, 28-35, 2013.
  2. Dinh-Chung Phan and Shigeru Yamamoto," Maximum Energy Output of a DFIG Wind Turbine Using an Improved MPPT-Curve Method", Energies, 8, pp. 11718-11736, 2015.
  3. Carlos E. Ugalde-Loo and Janaka B. Ekanayake, " State-Space Modelling of Variable-Speed Wind Turbines: A Systematic Approach", IEEE ICSET 2010 6-9 Dec 2010, Kandy, Sri Lanka.
  4. Istvan Erlich, Fekadu Shewarega and Oliver Scheufeld, " Modeling Wind Turbines in the Simulation of Power System Dynamics", Scientific Journal of Riga Technical University, Volume 27, pp.41-47, 2010.
  5. Carlos E. Ugalde-Loo , Janaka B. Ekanayake and Nicholas Jenkins, "State-Space Modelling of Variable-Speed Wind Turbines for Power System Studies ", IEEE Transactions on Industry Applications, January 2013.
  6. Amina Bouzekri , Tayeb Allaoui, Mouloud Denai and Youcef Mihoub, "Artificial Intelligence-Based Fault Tolerant Control Strategy in Wind Turbine Systems", International Journal of Renewable Energy Research A. Bouzekri, Vol.7, No.2, 2017.  
  7. Yi Zhang, Xiangjie Liu, and Bin Qu"Distributed Model Predictive Load Frequency Control of Multi-area Power System with DFIGs", IEEE/CAA Journal of Automatica Sinica, Vol. 4, No. 1, January 2017
  8. S. Masoud Barakati, " Modeling and Controller Design of a Wind Energy Conversion System Including a Matrix Converter", Ph.D. thesis, Waterloo, Ontario, Canada, 2008
  9. Bijaya Pokharel, “Modeling, Control and Analysis of a Doubly Fed Induction Generator Based Wind Turbine System with Voltage Regulation", M.Sc. Thesis at Tennessee Technological University, December 2011.
  10. F.L.Lewis: Control System Design Project; lecture 11, 1999.
  11. P. C. Krause, O Wasynczuk , S. D. Sudhoff, Analysis of electric machinery, IEEE Press, 1994.

Keywords

Wind Energy, quadratic Function, and feedback controller.