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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Stochastic indexes for power distribution systems resilience analysis

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Author(s):
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]
Total Authors: 7
Affiliation:
[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
Total Affiliations: 5
Document type: Journal article
Source: IET GENERATION TRANSMISSION & DISTRIBUTION; v. 13, n. 12, p. 2507-2516, JUN 18 2019.
Web of Science Citations: 0
Abstract

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)

FAPESP's process: 14/50851-0 - INCT 2014: National Institute of Science and Technology for Cooperative Autonomous Systems Applied in Security and Environment
Grantee:Marco Henrique Terra
Support type: Research Projects - Thematic Grants
FAPESP's process: 18/19150-6 - Resilience of complex systems with the use of dynamic Bayesian Networks: a probabilistic approach
Grantee:Carlos Dias Maciel
Support type: Scholarships abroad - Research