An Online Detection Framework for Cyber Attacks on Automatic Generation Control

We propose an online framework to detect cyberattacks on automatic generation control. A cyberattack detection algorithm is designed based on the approach of dynamic watermarking. The detection algorithm provides a theoretical guarantee of detection of cyberattacks launched by sophisticated attacker...

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Bibliographic Details
Published in:IEEE transactions on power systems Vol. 33; no. 6; pp. 6816 - 6827
Main Authors: Huang, Tong, Satchidanandan, Bharadwaj, Kumar, P. R., Xie, Le
Format: Journal Article
Language:English
Published: New York IEEE 01.11.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Automatic control
Automatic generation control
automatic generation control (AGC)
cyber-physical security (CPS)
Cyberattack
Cybersecurity
Detection algorithms
Dynamic watermarking
Frequency measurement
Power system dynamics
Statistical models
Upgrading
Watermarking
ISSN:0885-8950, 1558-0679
Online Access:Get full text
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Summary:We propose an online framework to detect cyberattacks on automatic generation control. A cyberattack detection algorithm is designed based on the approach of dynamic watermarking. The detection algorithm provides a theoretical guarantee of detection of cyberattacks launched by sophisticated attackers possessing extensive knowledge of the physical and statistical models of targeted power systems. The proposed framework is practically implementable, as it needs no hardware update on generation units. The efficacy of the proposed framework is validated in both four-area system and 140-bus system.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2018.2829743