Adaptive cyber‐physical system attack detection and reconstruction with application to power systems. Issue 12 (1st August 2016)

• Record Type: Journal Article
• Authors: Ao, Wei; Song, Yongdong; Wen, Changyun
• Is Part Of: IET control theory & applications. Volume 10:Issue 12(2016)
• Page Start: 1458
• Page End: 1468
• Publication Date: 2016-08-01
• Subjects: cyber‐physical systems -- power system security -- linear systems -- observers -- power system parameter estimation -- power engineering computing; adaptive cyber‐physical system attack detection -- power system -- cyber attack reconstruction -- automatic recovery -- linear system theory -- sensor attack -- adaptive sliding mode observer -- line parameter estimation -- residual signal -- IEEE 39 bus power system; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2015.1147
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : Timely and automatic detection and reconstruction of cyber attack is crucial in maintaining safe operation of cyber‐physical systems. This study investigates the problem of unexpected cyber attack and its automatic recovery. First, detectability of attacks based on linear system theory is explored and some sufficient conditions of detecting state attacks and sensor attacks, respectively, are established. Subsequently two adaptive sliding mode observers with on line parameter estimation are designed to estimate state attacks and sensor attacks separately. Second, appropriate residual signals are constructed and it is shown that they approach to the attacks with ultimately uniformly bounded errors. Finally, as an illustration of attack detection and reconstruction, the results are applied to an IEEE 39 bus power system with 10 generators and 39 buses, which shows the effectiveness of the proposed adaptive schemes.