Reliability Analysis for the Advanced Electric Power Grid: From Cyber Control and Communication to Physical Manifestations of Failure
Abstract
The advanced electric power grid is a cyber-physical system comprised of physical components, such as transmission lines and generators, and a network of embedded systems deployed for their cyber control. The objective of this paper is to qualitatively and quantitatively analyze the reliability of this cyber-physical system. The original contribution of the approach lies in the scope of failures analyzed, which crosses the cyber-physical boundary by investigating physical manifestations of failures in cyber control. As an example of power electronics deployed to enhance and control the operation of the grid, we study Flexible AC Transmission System (FACTS) devices, which are used to alter the flow of power on specific transmission lines. Through prudent fault injection, we enumerate the failure modes of FACTS devices, as triggered by their embedded software, and evaluate their effect on the reliability of the device and the reliability of the power grid on which they are deployed. The IEEE118 bus system is used as our case study, where the physical infrastructure is supplemented with seven FACTS devices to prevent the occurrence of four previously documented potential cascading failures.
Recommended Citation
A. Z. Faza et al., "Reliability Analysis for the Advanced Electric Power Grid: From Cyber Control and Communication to Physical Manifestations of Failure," Lecture Notes in Computer Science: Computer Safety, Reliability, and Security, vol. 5775, pp. 257 - 269, Springer Verlag, Sep 2009.
The definitive version is available at https://doi.org/10.1007/978-3-642-04468-7_21
Meeting Name
28th International Conference on Computer Safety, Reliability, and Security (2009: Sep. 15-18, Hamburg, Germany)
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
Keywords and Phrases
FACTS Devices; Cyber-Physical; Failure Propagation; Power Grid; Reliability Analysis
International Standard Book Number (ISBN)
978-3642044670; 978-3642044687
International Standard Serial Number (ISSN)
0302-9743; 1611-3349
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2009 Springer Verlag, All rights reserved.
Publication Date
01 Sep 2009
