Análise de Impactos Harmônicos em Rede de Média Tensão Utilizando Redes Neurais

Abstract

A methodology is presented to assess the impact caused by the generation of harmonics on a bus of interest in a medium voltage substation, using artificial neural networks (ANN). The objective is to conduct measurement campaigns to collect data from the electrical system, demonstrate a study on the quality of electrical energy, considering the recommendations of IEC 61000-3-6, IEEE Std. 519-2014, EN 50160-2004, and PRODIST (module 8, 2017), and propose the development of an algorithm capable of evaluating measurements using the ANN technique. The technique used allowed the construction of a model and the validation of the results obtained, demonstrating the effectiveness of applying neural networks in the analysis of harmonic impacts in electrical distribution systems.