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IJESD 2015 Vol.6(5): 336-340 ISSN: 2010-0264
DOI: 10.7763/IJESD.2015.V6.614

Evaluation of Maximum Power Point Controllers in Photovoltaic System

N. Drir, L. Barazane, and M. Loudini

Abstract—The characteristics output of solar panels are nonlinear and change with the environmental factors, so we need a controller named maximum power point tracker MPPT to extract the maximum power at the terminals of photovoltaic generator. In this study we present the two most popular controllers refers to traditional approach based on the perturbation & observation (P&O) methods and incremental conductance (INC). Then we explore a new intelligent controller based on fuzzy logic. The obtained results under various conditions of functioning have shown the good tracking and rapid response to change in different meteorological conditions of intelligent controller compare with the conventional one.

Index Terms—Fuzzy logic, maximum power point tracking, photovoltaic, P&O, incremental conductance.

N. Drir and L. Barazane are with Faculté d’Electronique et d’Informatique, Université des Sciences et de la Technologie Houari Boumediene (USTHB), Alger, Algeria (e-mail: dr_nadia22@hotmail.com, lbarazane@yahoo.fr).
M. Loudini is with Laboratoire de Communication dans les Systèmes Informatiques (LCSI), Ecole Nationale Supérieure d’Informatique (ESI), Alger, Algeria (e-mail: m_loudini@esi.dz).


Cite:N. Drir, L. Barazane, and M. Loudini, "Evaluation of Maximum Power Point Controllers in Photovoltaic System," International Journal of Environmental Science and Development vol. 6, no. 5, pp. 336-340, 2015.

General Information

  • ISSN: 2010-0264 (Print); 2972-3698 (Online)
  • Abbreviated Title: Int. J. Environ. Sci. Dev.
  • Frequency: Bimonthly
  • DOI: 10.18178/IJESD
  • Editor-in-Chief: Prof. Richard Haynes
  • Managing Editor: Ms. Cherry L. Chen
  • Indexing: Scopus (CiteScore 2022: 1.4), Google Scholar, CNKI, ProQuest, EBSCO, etc. 
  • E-mail: ijesd@ejournal.net

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