Methodology for radio signal generation in the study of high voltage circuit breakers

The substations concentrate essential equipment for the operation of electric energy distribution networks. The diagnosis of the state of degradation of equipment is very important, especially of the circuit breakers that are responsible for sectioning the network. One technique that has stood out i...

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Autores Principales: de Lyra Ramos, Nieremberg J. P., Rene Serres, Alexandre Jean, Guedes da Costa, Edson, Gomes Neto, Alfredo
Formato: Artículo
Idioma: Español
Publicado: Editorial Tecnológica de Costa Rica (entidad editora) 2021
Materias:
Acceso en línea: https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/6048
https://hdl.handle.net/2238/13639
Sumario: The substations concentrate essential equipment for the operation of electric energy distribution networks. The diagnosis of the state of degradation of equipment is very important, especially of the circuit breakers that are responsible for sectioning the network. One technique that has stood out is the diagnosis of circuit breakers based on the analysis of the signal radiated by the electric arc, which occurs in the switching of states in circuit breakers. This technique comprises capturing the radiated signal, storing it in digital format, and analyzing it from the information obtained. One problem that this technique faces is the optimization of measurement scenarios, because for this it is necessary to be in a substation, where the changes are carried out without the researchers’ control, or to have circuit breakers in the laboratory. However, in the laboratory there are limitations regarding the types of circuit breakers due to the impossibility of having several circuit breakers in the laboratory. The optimization methodology proposed in this article aims at reproducing radiometric signals from electrical arcs, previously acquired, in substations or in a laboratory, making it possible to simulate in an experimental environment different circuit breakers, in different stages of degradation. In this way, it is possible to optimize the measurement scenarios, varying distances and positions of antennas and other elements, performing successive measurements to obtain the best measurement configuration.