Inteligencia Artificial Aplicada al Análisis Energético de Sistemas Fotovoltaicos (Artificial Intelligence Technics Applied to Analisys of Photovoltaic Energy Systems)

Giuliano Arns Rampinelli (, Marcos Alberto de Armas Teyra (, Arno Krenzinger (, Cesar Wilhem Masseb Prieb (

Universidade Federal do Rio Grande do Sul
This paper appears in: Revista IEEE América Latina

Publication Date: Sept. 2010
Volume: 8,   Issue: 5 
ISSN: 1548-0992

This paper presents a procedure to determine the energetic behavior of photovoltaic systems through genetic algorithms and artificial neural networks. The method divides the I-V Curve of the photovoltaic generator in three regions. The best results are achieved for the region around the maximum power point, which can be advantageous for grid-connected systems. The method allows determining the energy delivered by the system and the inverter performance from a few experimental data. The output is a vector comprising the DC power, the maximum power point tracker efficiency, the inverter efficiency and the AC power.

Index Terms:
solar energy, artificial intelligence, inverters, grid-connected photovoltaic system.   

Documents that cite this document
This function is not implemented yet.

[PDF Full-Text (1007)]