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Evaluation of conductor rupture classification metrics using clustering and supervised algorithms

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Autor(es):
Lopes, Gabriela Nunes ; da Silva, Mauricio Pavani ; Vieira, Jose Carlos M.
Número total de Autores: 3
Tipo de documento: Artigo Científico
Fonte: Electric Power Systems Research; v. 233, p. 3-pg., 2024-06-07.
Resumo

Conductor Rupture (CR) is a critical problem in Distribution Systems (DSs), as it is challenging to identify and distinguish it from other events, which becomes even more complex when considering systems with Distributed Generation (DG). Accordingly, this short communication aims to analyze new metrics based on voltage and current negative sequence components in a DS with DG to differentiate CR from other events. The analysis comprises noisy and non-noisy signals, different statistics, and rupture locations using clustering and supervised algorithms. Overall, this study can help researchers develop increasingly effective CR detection methods, acting before the cables touch the ground, avoiding damage to living beings and bushfires. (AU)

Processo FAPESP: 20/06935-5 - Metodologia para detecção e localização de faltas de alta impedância em sistemas de distribuição com geração distribuída
Beneficiário:Gabriela Nunes Lopes
Modalidade de apoio: Bolsas no Brasil - Doutorado