Stochastic indexes for power distribution systems resilience analysis

Autor(es)

Fanucchi, Rodrigo Z. ^{[1, 2]} ; Bessani, Michel ^[3] ; Camillo, Marcos H. M. ^{[1, 2]} ; Soares, Anderson da S. ^[4] ; London Jr, Joao B. A. ; Desuo, Luiz ^[5] ; Maciel, Carlos D. ^[5]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Dept Elect & Comp Engn, Sao Carlos, SP - Brazil

^[2] Copel Distribuicao SA, Londrina - Brazil

^[3] Univ Minas Gerais, Elect Engn Dept, Belo Horizonte, MG - Brazil

^[4] Univ Fed Goias, Inst Comp Sci, Goiania, Go - Brazil

^[5] London Jr, Jr., Joao B. A., Univ Sao Paulo, Dept Elect & Comp Engn, Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: IET GENERATION TRANSMISSION & DISTRIBUTION; v. 13, n. 12, p. 2507-2516, JUN 18 2019.
• Citações Web of Science: 0

Resumo

The resilience in critical infrastructures context indicates the capability to anticipate, absorb, resist and recover from an event or adversity. In a power distribution system, as the frequency of severe weather event increases, this characteristic becomes mandatory, considering the impact in the society when a blackout occurs. This study proposes the analysis of power distribution systems resilience through two stochastic resilience indexes. Given several simulated weather scenarios and several numbers of available repair crews, the resilience indexes estimate the probability of a waiting crew time greater than a threshold as well as for the impact in the total time to restore the entire distribution system. These indexes, together with a costs and losses estimation methodology help the utilities in the decision support process as it demonstrates how the number of available repair crews will impact in the restoration process and costs for each possible weather scenario. The result for a real Brazilian power distribution system indicates its feasibility and benefits for the utilities. (AU)

• Processo FAPESP: 14/50851-0 - INCT 2014: Instituto Nacional de Ciência e Tecnologia para Sistemas Autônomos Cooperativos Aplicados em Segurança e Meio Ambiente
• Beneficiário: Marco Henrique Terra
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 18/19150-6 - Resiliência de sistemas complexos com o uso de redes bayesianas dinâmicas: uma abordagem probabilística
• Beneficiário: Carlos Dias Maciel
• Modalidade de apoio: Bolsas no Exterior - Pesquisa