Integrated Cyber-Physical Fault Injection for Reliability Analysis of the Smart Grid
Abstract
The term "Smart Grid" broadly describes emerging power systems whose physical operation is managed by significant intelligence. The cyber infrastructure providing this intelligence is composed of power electronics devices that regulate the flow of power in the physical portion of the grid. Distributed software is used to determine the appropriate settings for these devices. Failures in the operation of the Smart Grid can occur due to malfunctions in physical or cyber (hardware or software) components. This paper describes the use of fault injection in identifying failure scenarios for the Smart Grid. Software faults are injected to represent failures in the cyber infrastructure. Physical failures are concurrently represented, creating integrated cyber-physical failure scenarios that differentiate this work from related studies. The effect of these failure scenarios is studied in two cases: with and without fault detection in the distributed software. The paper concludes by utilizing the information gained to refine and improve the accuracy of the quantitative reliability model presented in our earlier work.
Recommended Citation
A. Z. Faza et al., "Integrated Cyber-Physical Fault Injection for Reliability Analysis of the Smart Grid," Lecture Notes in Computer Science: Computer Safety, Reliability, and Security, vol. 6351, pp. 277 - 290, Springer Verlag, Sep 2010.
The definitive version is available at https://doi.org/10.1007/978-3-642-15651-9_21
Meeting Name
29th International Conference on Computer Safety, Reliability, and Security (2010: Sep. 14-17, Vienna, Austria)
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
Keywords and Phrases
Cyber Infrastructures; Cyber-Physical Systems; Distributed Software; Fault Injection; Physical Faults; Power Electronics Devices; Power Systems; Reliability Model; Smart Grid; Software Fault; Computer Software; Fault Detection; Power Electronics; Quality Assurance; Reliability Analysis; Reliability
International Standard Book Number (ISBN)
978-3642156502; 978-3642156519
International Standard Serial Number (ISSN)
0302-9743; 1611-3349
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2010 Springer Verlag, All rights reserved.
Publication Date
01 Sep 2010