Event-triggered security adaptive control of uncertain multi-area power systems with cyber attacks

Yang Gu, Zhenxing Sun, Li-Wei Li, Ju H. Park and Mouquan Shen

Applied Mathematics and Computation, 2022, vol. 432, issue C

Abstract: This paper is concerned with the event-triggered security adaptive control of uncertain multi-area power systems. Adaptive laws are presented to estimate the unknown bounds of uncertainties, disturbances and cyber-attacks. With the help of tanh function, two event-triggered mechanisms are proposed in terms of integral state feedback controllers and adaptive controllers. With the help of Simpson rule and the Lyapunov stability theory, sufficient conditions are built in terms of linear matrix inequalities to ensure the mean-square boundedness of the resultant closed-loop systems. Finally, the validity of proposed schemes is verified by a simulation.

Keywords: Multi-area power systems; Event-triggered control; Cyber-attacks (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300322004180
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:432:y:2022:i:c:s0096300322004180

DOI: 10.1016/j.amc.2022.127344

Access Statistics for this article

Applied Mathematics and Computation is currently edited by Theodore Simos

More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().