Software Development for Enhanced Brain Analysis Power Quality in Microgrids with Sources Renewable
Microgrids, electrical power quality, harmonic distortions, LabVIEW, Automatic Diagnostics
This work presents the development of a software in LabVIEW for ana-
analysis of electricity distribution systems, with emphasis on connected microgrids
to the grid and equipped with a battery bank, aiming at the evaluation and diagnosis of the quality
of electricity. The software uses data from a quality analyzer
of commercial energy and performs the comparative analysis between the results obtained by the
equipment and by the program itself, validating its effectiveness. Differentially, the software
presents automatic diagnostics of power quality, in line with legislation
for parameters such as power factor, harmonic distortions,
voltage unbalance and frequency variations. The microgrid analyzed was composed of
photovoltaic solar generation, battery bank and various electrical loads. Experimental tests, including connection of balanced and unbalanced loads, demonstrated the
software's ability to identify power quality disturbances, providing
An effective and affordable tool for analysis in both low and high power systems.