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International Journal of Photoenergy
Volume 2015 (2015), Article ID 812582, 10 pages
Review Article

Comparative Study of Maximum Power Point Tracking Techniques for Photovoltaic Systems

Department of Electrical Engineering, Federal University of São João del-Rei, Praça Frei Orlando, 170 Centro, 36307-52 São João del-Rei, MG, Brazil

Received 20 November 2014; Revised 12 January 2015; Accepted 19 January 2015

Academic Editor: Wayne A. Anderson

Copyright © 2015 Fernando Lessa Tofoli et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [4 citations]

The following is the list of published articles that have cited the current article.

  • Puneet Joshi, and Sudha Arora, “Maximum power point tracking methodologies for solar PV systems – A review,” Renewable and Sustainable Energy Reviews, 2016. View at Publisher · View at Google Scholar
  • Ehtisham Lodhi, Zeeshan Lodhi, Rana Noman Shafqat, and Fieda Chen, “Performance analysis of ‘Perturb and Observe’ and ‘Incremental Conductance’ MPPT algorithms for PV system,” IOP Conference Series: Materials Science and Engineering, vol. 220, pp. 012029, 2017. View at Publisher · View at Google Scholar
  • Ammar Al-Gizi, Sarab Al-Chlaihawi, and Aurelian Craciunescu, “Efficiency of Photovoltaic Maximum Power Point Tracking Controller Based on a Fuzzy Logic,” Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 3, pp. 1245–1251, 2017. View at Publisher · View at Google Scholar
  • A. Al-Gizi, S. Al-Chlaihawi, M. Louzazni, and A. Craciunescu, “Genetically Optimization of an Asymmetrical Fuzzy Logic Based Photovoltaic Maximum Power Point Tracking Controller,” Advances in Electrical and Computer Engineering, vol. 17, no. 4, pp. 69–76, 2017. View at Publisher · View at Google Scholar