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

Giuliano Arns Rampinelli (giuliano.rampinelli@ufrgs.br), Marcos Alberto de Armas Teyra (marmas@ucf.edu.cu), Arno Krenzinger (arno.krenzinger@ufrgs.br), Cesar Wilhem Masseb Prieb (cprieb@ufrgs.br)


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


Abstract:
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.   


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