Publicação: Fast fault section estimation in distribution control centers using adaptive genetic algorithm
Carregando...
Data
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Elsevier B.V.
Tipo
Artigo
Direito de acesso
Acesso restrito
Resumo
This paper presents a novel mathematical model for fast fault section estimation in a Distribution Control Center (DCC). The mathematical model is divided into two parts, namely: (1) a protection system operations model based on operator's heuristic knowledge of the protection system performance and (2) an optimization Unconstrained Binary Programming (UBP) model based on parsimonious covering theory. In order to solve the UBP model, an Adaptive Genetic Algorithm (AGA) using crossing over and mutation rates that are automatically tuned in each generation is proposed. An Alarm Probabilistic Generator Algorithm (APGA) is developed and a real four-interconnected distribution substation system is used to test exhaustively the approach. Results show that the proposed methodology is capable of performing fault section estimation in a very fast and reliable manner. Furthermore, the proposed methodology is a powerful real-time fault diagnosis tool for application in future Distribution Control Centers. (C) 2014 Elsevier Ltd. All rights reserved.
Descrição
Palavras-chave
Distribution control centers, Fault section estimation, Fault diagnosis, Protective relaying, Digital protection, Genetic algorithm
Idioma
Inglês
Como citar
International Journal Of Electrical Power & Energy Systems. Oxford: Elsevier Sci Ltd, v. 63, p. 787-805, 2014.
