Title :
Maximum power point tracking using fuzzy logic control for photovoltaic system
Author :
Soufi, Youcef ; Bechouat, Mohcene ; Kahla, Sami ; Bouallegue, Kais
Author_Institution :
Dept. of Electr. Eng., Univ. of Larbi Tebessi, Tébessa, Algeria
Abstract :
In this paper, a fuzzy logic control (FLC) based “Mamdani” is proposed to control the maximum power point tracking (MPPT) for a photovoltaic (PV) system. The proposed technique uses the fuzzy logic control to specify the size of incremental current in the current command of MPPT. As results indicated, the convergence time of maximum power point (MPP) of the proposed algorithm is better than that of the conventional Perturb and Observation (P&O) technique.
Keywords :
fuzzy control; maximum power point trackers; perturbation techniques; photovoltaic power systems; power generation control; FLC based Mamdani; MPPT; P&O technique; PV system; Perturb and Observation technique; fuzzy logic control; maximum power point tracking; photovoltaic system; Fuzzy logic; Mathematical model; Maximum power point trackers; Niobium; Photovoltaic systems; Renewable energy sources; FLC; MPPT; P&O; photovoltaic system;
Conference_Titel :
Renewable Energy Research and Application (ICRERA), 2014 International Conference on
Conference_Location :
Milwaukee, WI
DOI :
10.1109/ICRERA.2014.7016515
