Sistema automático de interpretação de oscilações em subestações industriais utilizando lógica fuzzy

Abstract

Resulting from the constant fluctuations in the quality of electrical energy suffered in an industrial substation, it is important to consider the implementation of an automatic system to interpret these events, simplifying the configuration of all the equipment present, thus enabling greater conservation and good operation of the machines before of recurrent disturbances in the electrical network. Hence, this study aimed to develop a system based on artificial intelligence (Fuzzy logic), using as a basis the parameters of quality of electrical energy defined by the National Electric Energy Agency - ANEEL and the data collected in an industrial substation among 2016 and 2019. For that, a Fuzzy Logic Design platform has been used and two programs have been implemented, considering the Mamdani and Sugeno inference methods, in order to present two ways to reach the previously determined objective, achieving a satisfactory outcome. This research is characterized as a product and process modernization, as the innovative software will be a new good in the industrial field, providing a new method for analysing oscillations in electrical energy.