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Reseach Article

Fuzzy logic controller for the maximum power point tracking in photovoltaic system

by G. Balasubramanian, S. Singaravelu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 41 - Number 12
Year of Publication: 2012
Authors: G. Balasubramanian, S. Singaravelu
10.5120/5594-7840

G. Balasubramanian, S. Singaravelu . Fuzzy logic controller for the maximum power point tracking in photovoltaic system. International Journal of Computer Applications. 41, 12 ( March 2012), 22-28. DOI=10.5120/5594-7840

@article{ 10.5120/5594-7840,
author = { G. Balasubramanian, S. Singaravelu },
title = { Fuzzy logic controller for the maximum power point tracking in photovoltaic system },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 41 },
number = { 12 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 22-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume41/number12/5594-7840/ },
doi = { 10.5120/5594-7840 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:29:24.764232+05:30
%A G. Balasubramanian
%A S. Singaravelu
%T Fuzzy logic controller for the maximum power point tracking in photovoltaic system
%J International Journal of Computer Applications
%@ 0975-8887
%V 41
%N 12
%P 22-28
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents afuzzy logic controller for maximum power point tracking (MPPT) in photovoltaic system. An easy and accurate method of modeling photovoltaic arrays is proposed. The model and fuzzy based control strategies are combined to form intelligent controllers that are more accurate and robust. The model based controller is designed such that the reference signal for PWM generator of the converter can be adjusted to achieve maximum power generation from the photo voltaic system. The proposed fuzzy logic controller shows better performances compared to the P&O and PI MPPT based approach. A MATLAB based modeling and simulation scheme along with MPPT and fuzzy logic controller is proposed which are suitable for studying the I-V and P-V characteristics of a PV array under a non-uniform irradiation and different temperature. The model has been experimentally validated.

References
  1. Mayssa Farhat and Lassaad Sbita, "Advanced Fuzzy MPPT Control Algorithm for Photovoltaic System", Science Academy Transactions on Renewable Energy Systems Engineering and Technology, 2011, vol. 1, no. 1, pp. 29-36, Mar. 2011.
  2. T. Tafticht, K. Agbossou, M. L. Doumbia, and A. Cheriti, "An Improved Maximum power point tracking method for photovoltaic system", Renewable energy, vol. 33, pp. 1508-1516, 2008.
  3. Yun Tiam Tan, Daniel S. Kirschen, and Nicholas Jenkins, "A Model based PV Generation suitable for stability analysis", IEEE trans. on energy conv. , vol. 19, no. 4, pp. 748-755, Dec. 2004.
  4. C. R. Sullivan and M. J. Powers, "A high-efficiency maximum power point tracker for photovoltaic array in a solar-powered race vehicle," in Proc. IEEE PESC, 1993.
  5. N. Femia, "Optimizing Duty-cyclePerturbation of P&O MPPT Technique",35th Annual IEEE Power ElectronicsSpecialists Conference. ,2004.
  6. E. Koutroulis E, K. Kalaitzakis, and NC. Voulgaris, "Development of a microcontroller based photovoltaic maximum power point tracking control sytem", IEEE trans. on Power Electronics, vol. 16, no. 1, pp. 46-54, 2001.
  7. Abdulhadi Varnham, M. Abdulrahman, Al-Ibrahim, S. Gurvinder, Virk, and Djamel Azzi, "Soft computing model based controllers for increased photovoltaic plant efficiencies", IEEE trans. on energy conv. , vol. 22, no. 4, pp. 873-879, Dec. 2007.
  8. A. Damak1, A. Guesmi and A. Mami, "Modeling and fuzzy control of a photovoltaic-assisted watering system," Journal of Engineering and Technology Research, Vol. 1, pp. 7-13, 2009.
  9. B. Krishna Kumar, "Matlab based Modelling of Photovoltaic Panels and their Efficient, Utilization for Maximum Power Generation," 1st National Conference on Intelligent Electrical Systems , NCIES, Salem, India , pp. 125- 130, 2009.
  10. M. G. Villalva, J. R. Gazol, and E. R. Filho, "Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays", IEEE trans. on Power Electronics, vol. 24, no. 5, pp. 1198-1208, May 2009.
  11. H. Patel, and V. Agarwal, "MATLAB based modeling to study the effects of partial shading on PV array characteristics, IEEE trans. on energy conv. , vol. 23, no. 1, pp. 302-310, Mar. 2008.
  12. Timothy, andJ. Ross, "Fuzzy logic with engineering applications", McGraw hill international editions, Electrical engineering series, New York, 1997.
  13. C. Larbes, S. M. AitCheikh and T. Obeidi, "Genetic alogorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system", Renewable Energy. , vol. 34, no. 10, pp. 2093-2100, Oct. 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Mppt Converter Non-linear Approach Chopper Photovoltaic Characteristics