TY - JOUR
T1 - ADMM-Based Distributed State Estimation of Smart Grid under Data Deception and Denial of Service Attacks
AU - Du, Dajun
AU - Li, Xue
AU - Li, Wenting
AU - Chen, Rui
AU - Fei, Minrui
AU - Wu, Lei
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - Smart grid (SG) represents a large-scale network system with the tight integration of a physical power network and an information network, which makes it more vulnerable to hybrid cyber attacks against different regional subsystems. First, an alternating direction method of multipliers-based distributed state estimation method is developed to overcome the limitation of conventional state estimation and performance analysis of SG against a single type of cyber attacks. Regional subsystems are partitioned via the κ-means method. Second, a novel distributed state estimation method integrated with the characteristics of data deception attacks and denial of service (DoS) attacks is proposed to account for the simultaneous presence of different cyber attacks on individual regional subsystems. Third, the convergence of a distributed state estimation algorithm under hybrid cyber attacks is proved theoretically. Furthermore, the relationships between the convergence and algorithm parameters as well as the occurring probability of DoS attacks are established. Finally, the simulations on a modified IEEE 118-bus system are given to demonstrate the feasibility and effectiveness of the proposed method.
AB - Smart grid (SG) represents a large-scale network system with the tight integration of a physical power network and an information network, which makes it more vulnerable to hybrid cyber attacks against different regional subsystems. First, an alternating direction method of multipliers-based distributed state estimation method is developed to overcome the limitation of conventional state estimation and performance analysis of SG against a single type of cyber attacks. Regional subsystems are partitioned via the κ-means method. Second, a novel distributed state estimation method integrated with the characteristics of data deception attacks and denial of service (DoS) attacks is proposed to account for the simultaneous presence of different cyber attacks on individual regional subsystems. Third, the convergence of a distributed state estimation algorithm under hybrid cyber attacks is proved theoretically. Furthermore, the relationships between the convergence and algorithm parameters as well as the occurring probability of DoS attacks are established. Finally, the simulations on a modified IEEE 118-bus system are given to demonstrate the feasibility and effectiveness of the proposed method.
KW - Convergence analysis
KW - data deception attacks
KW - denial of service (DoS) attacks
KW - distributed state estimation
KW - smart grid (SG)
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U2 - 10.1109/TSMC.2019.2896292
DO - 10.1109/TSMC.2019.2896292
M3 - Article
AN - SCOPUS:85062437758
SN - 2168-2216
VL - 49
SP - 1698
EP - 1711
JO - IEEE Transactions on Systems, Man, and Cybernetics: Systems
JF - IEEE Transactions on Systems, Man, and Cybernetics: Systems
IS - 8
M1 - 8653507
ER -