Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Probabilistic Assessment of Power Distribution Systems Resilience Under Extreme Weather

Full text
Author(s):
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]
Total Authors: 7
Affiliation:
[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
Total Affiliations: 3
Document type: Journal article
Source: IEEE SYSTEMS JOURNAL; v. 13, n. 2, p. 1747-1756, JUN 2019.
Web of Science Citations: 0
Abstract

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)

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 Opportunities: Research Projects - Thematic Grants
FAPESP's process: 16/19646-6 - Three-phase Multiarea state estimator for large scale distribution systems
Grantee:Julio Augusto Druzina Massignan
Support Opportunities: Scholarships in Brazil - Doctorate