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Maximum Power Point Tracking for Photovoltaic Panel based on T-S Fuzzy Systems

by Hafedh Abid, Fernando Tadeo, Mansour Souissi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 22
Year of Publication: 2012
Authors: Hafedh Abid, Fernando Tadeo, Mansour Souissi
10.5120/6444-8565

Hafedh Abid, Fernando Tadeo, Mansour Souissi . Maximum Power Point Tracking for Photovoltaic Panel based on T-S Fuzzy Systems. International Journal of Computer Applications. 44, 22 ( April 2012), 52-58. DOI=10.5120/6444-8565

@article{ 10.5120/6444-8565,
author = { Hafedh Abid, Fernando Tadeo, Mansour Souissi },
title = { Maximum Power Point Tracking for Photovoltaic Panel based on T-S Fuzzy Systems },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 22 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 52-58 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number22/6444-8565/ },
doi = { 10.5120/6444-8565 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:36:17.182277+05:30
%A Hafedh Abid
%A Fernando Tadeo
%A Mansour Souissi
%T Maximum Power Point Tracking for Photovoltaic Panel based on T-S Fuzzy Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 22
%P 52-58
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we are interested in Maximum Power Point Tracking (MPPT) for Photovoltaic (PV) Panels Based on T-S type Fuzzy Systems. The PV panel model structure is represented by the Takagi-Sugeno (T-S) type fuzzy system. It is described by four local models. Each of them is characterized by an optimal operating point. The power generated by the PV panel depends on the temperature and irradiation. An algorithm based on T-S fuzzy systems is proposed to extract the maximum power generated by the PV panel. The optimal operating point for the PV panel is computed based on the optimal operating point for each local model. A Boost dc-dc converter has been connected between the PV panel and the load to allow the operating point to be varied. The duty cycle for the converter is computed based on the coordinates of all the local models of the PV panel. The operating point is thus optimally tracked based on the MPPT algorithm. Some simulations have been done to check the performance of the proposed algorithm.

References
  1. Theodoros L. Kottas, Yiannis S. Boutalis and Athanassios D. Karlism, “ New Maximum Power Point Tracker for PV Arrays using Fuzzy Controller in Close Cooperation With Fuzzy Cognitive Networks ” IEEE Transactions on energy conversion, Vol. 21, N°. 3, September 2006
  2. T. Takagi and M. Sugeno, “Fuzzy identification of systems and its applications to modelling and control,” IEEE Trans. Syst. Man, Cybern. vol. 15. pp. 116-132, Jan/Feb. 1985.
  3. Hafedh Abid, Mohamed Chtourou and Ahmed Toumi, “Fuzzy Indirect Adaptive Control Scheme for Nonlinear Systems Based on Lyapunov Approach and Sliding Mode”, International Journal of Computational Cognition, Vol. 5, N°. 1, march 2007 pp 36-43.
  4. Chun-hua LI, Xin-jian ZHU, Guang-yi CAO, Wan-qi HU, Sheng SUI and Ming-ruo HU “A maximum power point tracker for photovoltaic energy systems based on fuzzy neural networks” Journal of Zhejiang University Science a ISSN 1673-565X (Print); ISSN 1862-1775
  5. S.Singer,B.Rozenshtein,S .Surazi, Charctérization of PV Array output Using a Small Number of measured Parametrs, Solar Energy, Vol. 32, pp. 603-607, 1984
  6. A. Blorfan, D. Flieller, P. Wira, G. Sturtzer and J. Merckle : “A New Approach for modeling the Photovoltaic Cell using Orcad Comparing with the Model Done in Matlab” International Review on Modelling and simulation (I.R.E.M.O.S), Volume 3, N°5, October 2010 pp.948 – 954.
  7. Cellule Solaire : Modele Spice -Fiche technique, I.U.T. de Nimes, 5 fevrier 2008.
  8. Marcelo Gradella Villalva, Jonas Rafael Gazoli, and Ernesto Ruppert Filho, “ Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays ”, IEEE Transactions on power electronics, vol.24, N°5, May 2009.
  9. Brambilla, A.,.”New Approach to Photovoltaic Arrays Maximum Power Point Tracking”. 30th Annual IEEE Power Electronics Specialists Conf., South Carolina, USA, pp.632-637, 1999.
  10. Patcharaprakiti,N.,Premrudeepreechacharn, S., Sriuthaisiriwong, “Y.,. Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system”. Renewable Energy, 30(11):pp(1771-1788), 2005,
  11. Santos, J.L., Antunes, F., Chehab, A., Cruz, C., “ A maximum power point tracker for PV systems using a high performance boost converter. Solar Energy”, 80(7):pp(772-778) 2006.
  12. Y. Pankow, “Etude de l’intégration de la production décentralisée dans un réseau basse tension. Application au générateur photovoltaïque”, National School Superior of Art and Trades, Lille, 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Photovoltaic panel MPPT T-S Fuzzy systems Boost converter

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