Sistema automático de interpretação de oscilações em subestações industriais utilizando lógica fuzzy
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 con...
Autor principal: | Taborda, Renan Augusto |
---|---|
Formato: | Dissertação |
Idioma: | Português |
Publicado em: |
Universidade Tecnológica Federal do Paraná
2021
|
Assuntos: | |
Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/26622 |
Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
Resumo: |
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. |
---|