Adaptive memory-based event-triggering resilient LFC for power system under DoS attack

Liu, X; Shi, K; Cheng, J; Wen, S; Liu, Y

Adaptive memory-based event-triggering resilient LFC for power system under DoS attack

Liu, X Shi, K Cheng, J Wen, S

Liu, Y

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Publisher:: ELSEVIER SCIENCE INC
Publication Type:: Journal Article
Citation:: Applied Mathematics and Computation, 2023, 451
Issue Date:: 2023-08-15

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Field	Value	Language
dc.contributor.author	Liu, X
dc.contributor.author	Shi, K
dc.contributor.author	Cheng, J
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Liu, Y
dc.date.accessioned	2024-01-16T21:24:02Z
dc.date.available	2024-01-16T21:24:02Z
dc.date.issued	2023-08-15
dc.identifier.citation	Applied Mathematics and Computation, 2023, 451
dc.identifier.issn	0096-3003
dc.identifier.issn	1873-5649
dc.identifier.uri	http://hdl.handle.net/10453/174639
dc.description.abstract	Considering denial-of-service (DoS) attacks in the communication network, this work develops the adaptive memory-based event triggering resilient LFC approach for multi-area power systems with wind power. First of all, the impact of each DoS attack is evaluated by the amount of continual information loss it causes. Meanwhile, an adaptive memory event triggering mechanism (AMETM) is proposed, where the dynamic event triggering parameter and the triggering mechanism are all related to the historical transmitted states. Then, based on the proposed AMETM and DoS attacks, a sampling-data LFC model is established. In order to construct the LFC scheme with the desired faster state response, the exponential decay index is introduced as a performance index. Next the exponential stability problem of LFC sampling model is transformed into the asymptotic stability problem of polynomial uncertain system. Secondly, the exponential stability criterion and the memory controllers design method are obtained by bilateral closed-loop Lyapunov–Krasovskii functional (LKF) and LMI technology, which ensure the proposed memory control scheme can quickly stabilize the LFC system under a longer DoS attack. Lastly, a one-area typical LFC system is presented to verify the superiority and effectiveness of the proposed AMETM. The resilient control with fast state response and DoS attack is studied by two-areas LFC systems with wind power.
dc.language	English
dc.publisher	ELSEVIER SCIENCE INC
dc.relation.ispartof	Applied Mathematics and Computation
dc.relation.isbasedon	10.1016/j.amc.2023.128041
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0102 Applied Mathematics, 0103 Numerical and Computational Mathematics, 0802 Computation Theory and Mathematics
dc.subject.classification	Numerical & Computational Mathematics
dc.subject.classification	4901 Applied mathematics
dc.subject.classification	4903 Numerical and computational mathematics
dc.title	Adaptive memory-based event-triggering resilient LFC for power system under DoS attack
dc.type	Journal Article
utslib.citation.volume	451
utslib.for	0102 Applied Mathematics
utslib.for	0103 Numerical and Computational Mathematics
utslib.for	0802 Computation Theory and Mathematics
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/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	closed_access	*
dc.date.updated	2024-01-16T21:24:00Z
pubs.publication-status	Published
pubs.volume	451

Abstract:

Considering denial-of-service (DoS) attacks in the communication network, this work develops the adaptive memory-based event triggering resilient LFC approach for multi-area power systems with wind power. First of all, the impact of each DoS attack is evaluated by the amount of continual information loss it causes. Meanwhile, an adaptive memory event triggering mechanism (AMETM) is proposed, where the dynamic event triggering parameter and the triggering mechanism are all related to the historical transmitted states. Then, based on the proposed AMETM and DoS attacks, a sampling-data LFC model is established. In order to construct the LFC scheme with the desired faster state response, the exponential decay index is introduced as a performance index. Next the exponential stability problem of LFC sampling model is transformed into the asymptotic stability problem of polynomial uncertain system. Secondly, the exponential stability criterion and the memory controllers design method are obtained by bilateral closed-loop Lyapunov–Krasovskii functional (LKF) and LMI technology, which ensure the proposed memory control scheme can quickly stabilize the LFC system under a longer DoS attack. Lastly, a one-area typical LFC system is presented to verify the superiority and effectiveness of the proposed AMETM. The resilient control with fast state response and DoS attack is studied by two-areas LFC systems with wind power.

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http://hdl.handle.net/10453/174639