Title :
Fuzzy controller to extract the maximum power of a photovoltaic system
Author :
Ajaamoum, M. ; Kourchi, M. ; Alaoui, R. ; Bouhouch, L.
Author_Institution :
ERTAIER, EST d´Agadir, Agadir, Morocco
Abstract :
The objective of this work is to introduce a technique for the improvement and the optimization of the control performances of a system, composed the photovoltaic panel, a Boost converter and a load. This control is ensured thanks to the method of the maximum power point tracking (MPPT) by fuzzy logic. Simulations of the various parts of the system are developed under Matlab/Simulink, as well as a comparison between two controllers: “Perturb and Observ” (P&O) and fuzzy logic (FL). The results got under various operating conditions show a clear improvement of the performances of the control by fuzzy logic of the MPPT of the photovoltaic system.
Keywords :
fuzzy control; maximum power point trackers; optimisation; photovoltaic power systems; power system control; Boost converter; Matlab/Simulink; Perturb and Observ; fuzzy controller; fuzzy logic control; maximum power point tracking; optimization; photovoltaic system; MATLAB; Mathematical model; Niobium; Photovoltaic systems; Boost converter; Fuzzy logic; MPPT; P&O; Photovoltaic;
Conference_Titel :
Renewable and Sustainable Energy Conference (IRSEC), 2013 International
Conference_Location :
Ouarzazate
Print_ISBN :
978-1-4673-6373-0
DOI :
10.1109/IRSEC.2013.6529657
