Cyber attack estimation and detection for cyber-physical power systems

Lei Li, Wenting Wang, Qiang Ma, Kunpeng Pan, Xin Liu, Lin Lin and Jian Li

Applied Mathematics and Computation, 2021, vol. 400, issue C

Abstract: This paper mainly studies the problem of cyber attack estimation and detection in cyber-physical power systems (CPPS). Firstly, CPPS under cyber state attack and sensor attack are modeled through system characteristics. Secondly, to achieve attack estimation, two robust observers are designed for the CPPS under state attack and sensor attack respectively, which can guarantee the error systems are asymptotically stable with a prescribed H∞ performance. Next, to achieve attack detection, attack detection logic is introduced by comparing the threshold with the estimated attack. Finally, in order to show the feasibility of the state attack and sensor attack detection, taking power systems with three generators and six buses as an example, the simulation results are given.

Keywords: Cyber-physical power systems; Cyber attack; Attack reconstruction and detection; H∞ performance (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300321001041
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:400:y:2021:i:c:s0096300321001041

DOI: 10.1016/j.amc.2021.126056

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 ().