Author(s)

Beatriz Leitao¹, Wolia Costa¹, Fabricio Brito¹, Luis Tomaselli²

¹Universidade Ceuma, Campus Renascença, São Luís, Brasil.
²Centro Universitário IESB-Asa Sul, Brasília, Brasil.

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.

Distributed Generation, Converters, Photovoltaic, Fuzzy

Leitao, B. , Costa, W. , Brito, F. and Tomaselli, L. (2023) Maximum Power Tracking of Photovoltaic Modules Based on Fuzzy Logic Employing Four-Phase Intervaled Boost Converter. Journal of Power and Energy Engineering, 11, 17-38. doi: 10.4236/jpee.2023.114002.