Inteligencia Artificial Aplicada al Análisis Energético de Sistemas Fotovoltaicos
(Artificial Intelligence Technics Applied to Analisys of Photovoltaic Energy Systems)
Giuliano Arns Rampinelli (firstname.lastname@example.org), Marcos Alberto de Armas Teyra (email@example.com), Arno Krenzinger (firstname.lastname@example.org), Cesar Wilhem Masseb Prieb (email@example.com)
Universidade Federal do Rio Grande do Sul
This paper appears in: Revista IEEE América Latina
Publication Date: Sept. 2010
Volume: 8, Issue: 5
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.
solar energy, artificial intelligence, inverters, grid-connected photovoltaic system.
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