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

fYear

2013

fDate

7-9 March 2013

Firstpage

141

Lastpage

146

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Renewable and Sustainable Energy Conference (IRSEC), 2013 International

Conference_Location

Ouarzazate

Print_ISBN

978-1-4673-6373-0

Type

conf

DOI

10.1109/IRSEC.2013.6529657

Filename

6529657