Analysis of Reliability and Resilience for Smart Grids
Smart grids, where cyber infrastructure is used to make power distribution more dependable and efficient, are prime examples of modern infrastructure systems. The cyber infrastructure provides monitoring and decision support intended to increase the dependability and efficiency of the system. This comes at the cost of vulnerability to accidental failures and malicious attacks, due to the greater extent of virtual and physical interconnection. Any failure can propagate more quickly and extensively, and as such, the net result could be lowered reliability. In this paper, we describe metrics for assessment of two phases of smart grid operation: the duration before a failure occurs, and the recovery phase after an inevitable failure. The former is characterized by reliability, which we determine based on information about cascading failures. The latter is quantified using resilience, which can in turn facilitate comparison of recovery strategies. We illustrate the application of these metrics to a smart grid based on the IEEE 9-bus test system.
M. N. Albasrawi et al., "Analysis of Reliability and Resilience for Smart Grids," Proceedings of the IEEE 38th Annual International Computer Software and Applications Conference (2014, Vasteras, Sweden), pp. 529-534, Institute of Electrical and Electronics Engineers (IEEE), Jul 2014.
The definitive version is available at https://doi.org/10.1109/COMPSAC.2014.75
IEEE 38th Annual International Computer Software and Applications Conference (2014: Jul. 21-25, Vasteras, Sweden)
Electrical and Computer Engineering
Keywords and Phrases
Application Programs; Decision Support Systems; Fault Tree Analysis; Models; Reliability; Reliability Analysis; Cascading Failures; Cyber Infrastructures; Cyber Physicals; Modern Infrastructure; Power Distributions; Recovery Strategies; Resilience; Smart Grid; Smart Power Grids; Cyber-Physical; Modeling; Measurement; Power System Faults; Power System Protection; Smart Grids; Power System Reliability
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International Standard Serial Number (ISSN)
Article - Conference proceedings
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01 Jul 2014