Fault section estimation in electric power systems using an optimization immune algorithm

Autor(es)

Leao, Fabio Bertequini ^[1] ; Pereira, Rodrigo A. F. ^[1] ; Mantovani, Jose R. S. ^[1]

Afiliação do(s) autor(es)

^[1] Sao Paulo State Univ, Engn Coll Ilha Solteira, Dept Elect Engn, Res Grp Elect Power Syst Planning, UNESP, BR-15385000 Ilha Solteira, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Electric Power Systems Research; v. 80, n. 11, p. 1341-1352, NOV 2010.
• Citações Web of Science: 14

Resumo

This paper proposes a methodology based on the unconstrained binary programming (UBP) model and an optimization immune algorithm (IA) to estimate fault sections in electric power systems. The UBP model is formulated using the parsimonious set covering theory for associating the alarms of the protective relay functions informed by the SCADA (supervisory control and data acquisition) system and the expected states of the protective relay functions. The IA is developed to minimize the UBP model and to estimate the fault sections as quickly and reliably as possible. The proposed methodology is tested using part of the South-Brazilian electric power system. The control parameters of the IA are set to reach the maximum computational efficiency and reduction of the processing time. The results show the methodology's potential to estimate fault sections in electric power system control centers in real-time. (C) 2010 Elsevier B.V. All rights reserved. (AU)

• Processo FAPESP: 06/02569-7 - Ferramenta computacional inteligente para análise e interpretação de alarmes em tempo real em subestações de distribuição de energia elétrica
• Beneficiário: Fabio Bertequini Leao
• Modalidade de apoio: Bolsas no Brasil - Doutorado Direto