Analysis of the energy quality of the electronic laboratory of the federal university of tocantins using artificial immunological systems

Abstract

This article will bring an analysis of the electric power quality of the Electronic Laboratory of the Federal University of Tocantins. The proposed methodology was developed in two stages. The first one consists of obtaining the database through the acquisition of the oscillography images of the electrical network, in which the Laboratory is inserted using Fluke Power Log equipment. These images were recorded in the 34-h period, where there were moments of use and disuse of the Laboratory. In the second stage of the methodology, an algorithm was developed to read the input data (oscillography of the created database), to detect possible anomalies, to classify them, to generate a report showing the events occurred and to propose specific solutions. This algorithm is one of the most recent Artificial Intelligence in the bibliography, called the Artificial Immunological System. In order to perform the detection of the disturbances, the input signals were scanned, and through this process, these data are separated in periods, compared to a set of detectors previously established to finally assess the affinity between they. Therefore, this research aims to present a method based on Artificial Intelligence that helps in the correction of voltage events, providing greater reliability and quality of electric energy.