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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Probabilistic Assessment of Power Distribution Systems Resilience Under Extreme Weather

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Autor(es):
Bessani, Michel [1] ; Massignan, Julio A. D. [1] ; Fanucchi, Rodrigo Z. [1, 2] ; Camillo, Marcos H. M. [1, 2] ; London, Joao B. A. [1] ; Delbem, Alexandre C. B. [3, 1] ; Maciel, Carlos D. [1]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Dept Elect & Comp Engn, BR-13560 Sao Carlos, SP - Brazil
[2] COPEL Distribut S A, Dept North Maintenance, BR-86010 Londrina - Brazil
[3] Univ Sao Paulo, Dept Comp Sci, BR-13560 Sao Carlos, SP - Brazil
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: IEEE SYSTEMS JOURNAL; v. 13, n. 2, p. 1747-1756, JUN 2019.
Citações Web of Science: 0
Resumo

We present a probabilistic assessment of power distribution systems resilience under different weather conditions. It is based on Monte Carlo simulation considering failures and repairs models obtained in previous studies for the used power distribution system allowing consideration of different weather scenarios during the resilience estimation. Our main contribution is the methodology for assessing power distribution systems under different weather scenarios, which integrates time-to-event models to estimate resilience. The assessment is carried out on distribution networks of a Brazilian power company, and using two resilience perspectives: structural, considering networks connectivity and service, quantifying energy delivered. An investigation of which features are related to the resilience loss in extreme weather is also performed. Results show that all the networks are resilient to a normal weather condition in both perspectives and weather adversities reduce their structural resilience, mainly in large networks. At the same time, service resilience loss is not linearly related to network size, but with how electricity flows over the networks, as the average load passing through vertices and the presence of lateral branches. These findings can support decision making about management and planning of such systems as resilience-oriented modifications, resources allocation, and expansion planning. (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
Linha de fomento: Auxílio à Pesquisa - Temático
Processo FAPESP: 16/19646-6 - Estimador de estado trifásico multiárea para sistemas de distribuição de larga escala
Beneficiário:Julio Augusto Druzina Massignan
Linha de fomento: Bolsas no Brasil - Doutorado