Command of a photovoltaic system by artificial intelligence, comparatives studies with conventional controls: Results, improvements and perspectives

Authors:

1 November 2016

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 583-591
DOI:10.1109/icmic.2016.7804179

Abstract

This study presents the principle of the MPPT command. The command techniques most used in MPPT control are reviewed and analyzed such as: Observation and Perturbation (O & P) and Conductance Incrementing (CI). The aim of this study is the association of the Fuzzy Logic command with the MPPT command, then analyzing and comparing its behavior with other techniques (O & P and CI) used in the control of photovoltaic systems.

Keywords

This publication has 2 references indexed in Scilit:

Command of a photovoltaic system by artificial intelligence, comparatives studies with conventional controls: Results, improvements and perspectives
2016
Management of a base station of a mobile network using a photovoltaic system
Renewable and Sustainable Energy Reviews, 2016