A modeling framework for system restoration from cascading failures

System restoration from cascading failures is an integral part of the overall defense against catastrophic breakdown in networked critical infrastructures. From the outbreak of cascading failures to the system complete breakdown, actions can be taken to prevent failure propagation through the entire...

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Bibliographic Details
Published in:PloS one 2014-12, Vol.9 (12), p.e112363-e112363
Main Authors: Liu, Chaoran, Li, Daqing, Zio, Enrico, Kang, Rui
Format: Article
Language:English
Subjects:
Algorithms
Blackouts
Breakdown
Catastrophic failure analysis
Computer and Information Sciences
Disasters
Electric power
Electricity distribution
Engineering
Engineering and Technology
Engineering Sciences
Environmental engineering
Failure
Humans
Laboratories
Load
Modelling
Models, Theoretical
Network reliability
Outbreaks
Physical sciences
Prevention
Reproducibility of Results
Research and Analysis Methods
Restoration
Task forces
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Summary:System restoration from cascading failures is an integral part of the overall defense against catastrophic breakdown in networked critical infrastructures. From the outbreak of cascading failures to the system complete breakdown, actions can be taken to prevent failure propagation through the entire network. While most analysis efforts have been carried out before or after cascading failures, restoration during cascading failures has been rarely studied. In this paper, we present a modeling framework to investigate the effects of in-process restoration, which depends strongly on the timing and strength of the restoration actions. Furthermore, in the model we also consider additional disturbances to the system due to restoration actions themselves. We demonstrate that the effect of restoration is also influenced by the combination of system loading level and restoration disturbance. Our modeling framework will help to provide insights on practical restoration from cascading failures and guide improvements of reliability and resilience of actual network systems.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0112363