Improving the dynamic performances of an MPPT controller for a Photovoltaic system using fuzzy logic

Essakhi Hassan; Farhat Sadik; Mediouni Mohamed; Dbaghi Yahya

doi:10.1051/e3sconf/202122901013

E3S Web of Conferences (Jan 2021)

Improving the dynamic performances of an MPPT controller for a Photovoltaic system using fuzzy logic

Essakhi Hassan,
Farhat Sadik,
Mediouni Mohamed,
Dbaghi Yahya

Affiliations

Essakhi Hassan: Department of Electric Engineering, High school of technology – Ibn Zohr University, LASIME Lab
Farhat Sadik: Department of Electric Engineering, High school of technology – Ibn Zohr University, LASIME Lab
Mediouni Mohamed: Department of Electric Engineering, High school of technology – Ibn Zohr University, LASIME Lab
Dbaghi Yahya: Department of Electric Engineering, High school of technology – Ibn Zohr University, LASIME Lab

DOI: https://doi.org/10.1051/e3sconf/202122901013
Journal volume & issue: Vol. 229
p. 01013

Abstract

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This paper deals with analysis, modeling, and simulation of a Photovoltaic (PV) system with an intelligent Maximum Power Point Tracking (MPPT) controller based on fuzzy logic and to compare the dynamic performances: rapidity and stability of a fuzzy controller with the traditional controller based on the “Perturb and Observe” algorithm (P&O). The system is simulated under Simulink/Matlab environment. The simulation results show that the fuzzy MPPT controller is faster and more stable during abrupt changes in irradiation values.

Published in E3S Web of Conferences

ISSN: 2267-1242 (Online)
Publisher: EDP Sciences
Country of publisher: France
LCC subjects: Geography. Anthropology. Recreation: Environmental sciences
Website: http://www.e3s-conferences.org/

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