Realworld maximum power point tracking simulation of PV system based on Fuzzy Logic control | ||
| NRIAG Journal of Astronomy and Geophysics | ||
| Volume 1, Issue 2, December 2012, Pages 186-194 PDF (2.18 M) | ||
| DOI: 10.1016/j.nrjag.2012.12.016 | ||
| Authors | ||
| Ahmed M. Othman; Mahdi M.M. El-arini; Ahmed Ghitas; Ahmed Fathy | ||
| Abstract | ||
| In the recent years, the solar energy becomes one of the most important alternative sources of electric energy, so it is important to improve the efficiency and reliability of the photovoltaic (PV) systems. Maximum power point tracking (MPPT) plays an important role in photovoltaic power systems because it maximize the power output from a PV system for a given set of conditions, and therefore maximize their array efficiency. This paper presents a maximum power point tracker (MPPT) using Fuzzy Logic theory for a PV system. The work is focused on the well known Perturb and Observe (P&O) algorithm and is compared to a designed fuzzy logic controller (FLC). The simulation work dealing with MPPT controller; a DC/DC Ćuk converter feeding a load is achieved. The results showed that the proposed Fuzzy Logic MPPT in the PV system is valid. | ||
| Keywords | ||
| solar energy; Photovoltaic System; Fuzzy logic control; maximum power point tracking (MPPT) | ||
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