Portal de Periódicos da CAPES

Artigo Acesso aberto Produção Nacional Revisado por pares

BIBTEX RIS

Separation and Classification of Partial Discharge Sources in Substations

2024; Multidisciplinary Digital Publishing Institute; Volume: 17; Issue: 15 Linguagem: Inglês

10.3390/en17153804

1996-1073

João Victor Jales de Melo, George R. S. Lira, Edson Guedes da Costa, Pablo Bezerra Vilar, F. L. M. Andrade, Ana Marotti, André Irani Costa, Antonio Francisco Leite Neto, Almir Carlos dos Santos Júnior,

Lightning and Electromagnetic Phenomena

This work proposes a methodology for noise removal, separation, and classification of partial discharges in electrical system assets. Partial discharge analysis is an essential method for fault detection and evaluation of the operational conditions of high-voltage equipment. However, it faces several limitations in field measurements due to interference from radio signals, television transmissions, WiFi, corona signals, and multiple sources of partial discharges. To address these challenges, we propose the development of a clustering model to identify partial discharge sources and a classification model to identify the types of discharges. New features extracted from pulses are introduced to model the clustering and classification of discharge sources. The methodology is tested in the laboratory with controlled partial discharge sources, and field tests are conducted in substations to assess its practical applicability. The results of laboratory tests achieved an accuracy of 85% in classifying discharge sources. Field tests were performed in a substation of the Eletrobras group, allowing the identification of at least three potentially defective current transformers.