A Novel Cyberattack-Resilient Frequency Control Method for Interconnected Power Systems Using SMO-Based Attack Estimation

Syrmakesis, AD; Alhelou, HH; Hatziargyriou, ND

A Novel Cyberattack-Resilient Frequency Control Method for Interconnected Power Systems Using SMO-Based Attack Estimation

Syrmakesis, AD Alhelou, HH Hatziargyriou, ND

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Power Systems, 2024, 39, (4), pp. 5672-5686
Issue Date:: 2024-07-01

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Field	Value	Language
dc.contributor.author	Syrmakesis, AD
dc.contributor.author	Alhelou, HH
dc.contributor.author	Hatziargyriou, ND
dc.date.accessioned	2025-01-03T02:32:24Z
dc.date.available	2025-01-03T02:32:24Z
dc.date.issued	2024-07-01
dc.identifier.citation	IEEE Transactions on Power Systems, 2024, 39, (4), pp. 5672-5686
dc.identifier.issn	0885-8950
dc.identifier.issn	1558-0679
dc.identifier.uri	http://hdl.handle.net/10453/182935
dc.description.abstract	Cyberattacks pose a significant threat to modern power systems due to the interaction of their physical components with information and communication technologies. A critical power system application that is directly affected by such malicious activities is the Load Frequency Control (LFC) system. The goal of the LFC is to maintain the power balance of the grid by sensing frequency deviations and regulating the output of the generators. In this paper, an innovative False Data Injection Attack (FDiA) estimation method is proposed for LFC along with an efficient cyberattack-resilient control design. The presented attack mitigation technique employs novel sliding mode techniques combined with an unknown input observer to estimate the launched FDiAs. Then, the estimated attack vector is used in the control loop to eliminate the cyberattack impact on LFC. The introduced method can tackle FDiAs that target both measurements and control signals and is resilient against external system disturbances. For the experiments, several real-world features of power systems are considered, such as nonlinearities, network delays, diverse types of tie-lines and multiple topologies of interconnected power regions, along with Hardware-in-the-Loop simulations for real-time assessment. The results verify the effectiveness and the feasibility of the proposed method, its scalability over various power systems and its superiority in comparison with other techniques.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Power Systems
dc.relation.isbasedon	10.1109/TPWRS.2023.3340744
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	Energy
dc.subject.classification	4008 Electrical engineering
dc.title	A Novel Cyberattack-Resilient Frequency Control Method for Interconnected Power Systems Using SMO-Based Attack Estimation
dc.type	Journal Article
utslib.citation.volume	39
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2025-01-03T02:32:23Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	39
utslib.citation.issue	4

Abstract:

Cyberattacks pose a significant threat to modern power systems due to the interaction of their physical components with information and communication technologies. A critical power system application that is directly affected by such malicious activities is the Load Frequency Control (LFC) system. The goal of the LFC is to maintain the power balance of the grid by sensing frequency deviations and regulating the output of the generators. In this paper, an innovative False Data Injection Attack (FDiA) estimation method is proposed for LFC along with an efficient cyberattack-resilient control design. The presented attack mitigation technique employs novel sliding mode techniques combined with an unknown input observer to estimate the launched FDiAs. Then, the estimated attack vector is used in the control loop to eliminate the cyberattack impact on LFC. The introduced method can tackle FDiAs that target both measurements and control signals and is resilient against external system disturbances. For the experiments, several real-world features of power systems are considered, such as nonlinearities, network delays, diverse types of tie-lines and multiple topologies of interconnected power regions, along with Hardware-in-the-Loop simulations for real-time assessment. The results verify the effectiveness and the feasibility of the proposed method, its scalability over various power systems and its superiority in comparison with other techniques.

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http://hdl.handle.net/10453/182935