An intelligent approach based on fuzzy logic for improving and optimizing the performance of a photovoltaic system

Author

Zaghba, Layachi ; Borni, A. ; Bouchakeur, A. ; Terki, N.

Author_Institution

Unite de Rech. Appl. en Energies Renouvelables, Centre de Dev. des Energies Renouvelables, Ghardaïa, Algeria

fYear

2014

Firstpage

1

Lastpage

6

Abstract

This work presents an intelligent approach to the improvement and optimization of control performance of a PV system, the method further maximum power point tracking (MPPT) based on fuzzy logic. Our system consists of a photovoltaic panel (PV), a DC-DC buck-boost converter, considered a matching stage between the PV and the load. The strategy for the synthesis of control laws is based on modeling the behavior of the PV system, which allows us to integrate different control techniques to ensure a smooth continuation in the presence of modeling errors and external disturbances. Modeling and simulation system (photovoltaic panel, Buck-Boost DC-DC converter, the MPPT algorithm based on fuzzy logic and load) is achieved through the Matlab / Simulink software.

Keywords

fuzzy logic; maximum power point trackers; photovoltaic power systems; power system control; power system faults; DC-DC buck-boost converter; MPPT; Matlab-Simulink software; control performance; external disturbances; fuzzy logic; intelligent approach; maximum power point tracking; photovoltaic panel; photovoltaic system; Fuzzy logic; Gold; Load modeling; MATLAB; Maximum power point trackers; Photovoltaic systems; Buck Boost converter; MPPT PV; fuzzy controller; photovoltaic generator;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Sciences and Technologies in Maghreb (CISTEM), 2014 International Conference on

Type

conf

DOI

10.1109/CISTEM.2014.7077042

Filename

7077042