Open AccessAn adaptive sliding‐mode resilient control strategy in smart grid under mixed attacks
Author(s) -
Li Jian,
Yang DeFu,
Gao YanChao,
Huang Xin
Publication year - 2021
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/cth2.12172
Subject(s) - smart grid , electric power system , resilience (materials science) , controller (irrigation) , computer science , control theory (sociology) , matlab , stability (learning theory) , cyber physical system , grid , mode (computer interface) , control engineering , power (physics) , engineering , control (management) , artificial intelligence , agronomy , physics , geometry , mathematics , quantum mechanics , machine learning , biology , electrical engineering , thermodynamics , operating system
This paper is concerned with security problems for cyber‐physical systems (CPSs) under dynamic load altering attacks (DLAA) and false data injection attacks (FDIA). The smart grid, as a typical CPS system, is taken as an example in this paper. Since the communication channel is vulnerable to FDIA and DLAA, the stability of the smart grid may be influenced. For enhancing resilience and stability of smart grids, first of all, the power system model including both DLAA and FDIA is introduced. Second, an adaptive sliding mode controller is proposed. The controller can ensure the reliable operation of the power system in the case of unknown attack information by using the adaptive mechanism online estimating the upper bound of attack signal to automatically eliminate the effect of mixed attacks. Finally, a power system with three generators and six buses is taken as an illustrative example, and simulation and experiment results obtained by using MATLAB and Hardware‐in‐time platform built by Sartsim verify the effectiveness of the proposed resilient defense strategy.