Currently, there are significant investments in the
study of distributed generation, including solar energy by the photovoltaic
conversion method. Basically, a cell directly converts solar energy to
electricity. For this, static converters are required. However, relevant issues
arise in this process: point of maximum efficiency of module generation,
strategy of control of the flow of energy to the network. The aim of this work
is to monitor the main variables of a photovoltaic system, specifically the
voltage and current module and their derivates. The goal is to implement the
maximum power tracking technique using Fuzzy logic. In addition, the energy
provided by the cell will be employed in an inverter stage that can operate as
an active filter, voltage regulator, or generator of reactive and active power.
The feasibility of using Fuzzy logic will also be studied. The first stage of
this work involves parameterization and simulation of photovoltaic modules. The
initial study examines the compatibility of a commercial module and its catalog
data with the results of simulation. The simulated I-V characteristics show
almost identical results to the catalog data. In sequence, a boost or lift
DC-DC converter is employed to emulate variable load for maximum power
transfer.
References
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Petry, C.A. (2001) Introdução aos Conversores CC-CC. Departamento de Engenharia Elétrica Centro Tecnológico, Universidade Federal De Santa Catarina, (INEP/ EEL—UFSC). https://professorpetry.com.br/Bases_Dados/Apostilas_Tutoriais/Introducao_Conversores_CC_CC.pdf
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Larbes, C., Cheikh Ait, S.M., Obeidi, T. and Zerguerras, A. (2009) Genetic Algorithms Optimized Fuzzy Logic Control for the Maximum Power Point Tracking in Photovoltaic System. Renewable Energy, 34, 2093-2100. https://doi.org/10.1016/j.renene.2009.01.006
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Shiau, J.-K., Wei, Y.-C. and Chen, B.-C. (2015) A Study on the Fuzzy-Logic-Based Solar Power MPPT Algorithms Using Different Fuzzy Input Variables. Algorithms, 8, 100-127. https://doi.org/10.3390/a8020100
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