Main maximum power point tracking strategies intended for photovoltaics

• Autor(a) principal: De Brito, Moacyr A.G.
• Data de Publicação: 2011
• Outros Autores: Junior, Luigi G., Sampaio, Leonardo P., E Melo, Guilherme A., Canesin, Carlos A. [UNESP]
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1109/COBEP.2011.6085188; http://hdl.handle.net/11449/73089
• topic: Photovoltaic Energy; PV MPPT Algorithms; PV Power Profile; PV Tracking Factor; Renewable Energy; Agilent; Analytical procedure; Boost DC-DC converter; D-space; MATLAB /simulink; Maximum Power Point Tracking; Online programs; Photovoltaic energy; Photovoltaic panels; Photovoltaics; Power curves; Power profile; Renewable energies; Solar arrays; Voltage ripples; Algorithms; DC-DC converters; Dynamic response; Photovoltaic effects; Power electronics; User interfaces; DC power transmission

This paper presents evaluations among the most usual MPPT techniques, doing meaningful comparisons with respect to the amount of energy extracted from the photovoltaic panel (PV) (Tracking Factor - TF) in relation to the available power, PV voltage ripple, dynamic response and use of sensors. Using MatLab/Simulink® and DSpace platforms, a digitally controlled boost DC-DC converter was implemented and connected to an Agilent Solar Array E4350B simulator in order to verify the analytical procedures. The main experimental results are presented and a contribution in the implementation of the IC algorithm is performed and called IC based on PI. Moreover, the dynamic response and the tracking factor are also evaluated using a Friendly User Interface, which is capable of online program power curves and compute the TF. Finally, a typical daily insulation is used in order to verify the experimental results for the main PV MPPT methods. © 2011 IEEE.