Dynamic Reduced-Order Observer-Based Detection of False Data Injection Attacks With Application to Smart Grid Systems

This article investigates the problem of attack detection of false data injection attacks for a class of large-scale smart grid systems in the context of cyber-physical systems. First, by exploiting the graph theory to decompose the considered system into multiple interconnected subsystems, a bank o...

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Bibliographic Details
Published in:IEEE transactions on industrial informatics Vol. 18; no. 10; pp. 6712 - 6722
Main Authors: Yan, Jing-Jing, Yang, Guang-Hong, Wang, Yu
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.10.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Cyber-physical systems
Cyber–physical systems (CPSs)
disturbance attenuation
false data injection attacks (FDIAs)
Graph theory
Informatics
Noise measurement
observer-based attack detection scheme
Observers
Power system dynamics
Robustness
Smart grid
Smart grids
Subsystems
Symmetric matrices
Thresholds
ISSN:1551-3203, 1941-0050
Online Access:Get full text
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Summary:This article investigates the problem of attack detection of false data injection attacks for a class of large-scale smart grid systems in the context of cyber-physical systems. First, by exploiting the graph theory to decompose the considered system into multiple interconnected subsystems, a bank of dynamic reduced-order observers are delicately constructed to generate residual signals for the attack detection task. Then, a novel decentralized attack detection scheme is proposed based on the adaptive detection thresholds with prescribed performance. Compared with the existing results, the proposed detection scheme has less conservative thresholds and enhanced robustness against process disturbance and measurement noise, such that the detectability is improved. Finally, the effectiveness and availability of the proposed scheme are verified by two simulation examples and the experimental results from IEEE 30-bus system built in the OPAL-RT real-time simulator.
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ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2022.3144445