ADMM-Based Distributed State Estimation of Smart Grid under Data Deception and Denial of Service Attacks

Dajun Du, Xue Li, Wenting Li, Rui Chen, Minrui Fei, Lei Wu

Research output: Contribution to journalArticlepeer-review

138 Scopus citations

Abstract

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.

Original languageEnglish
Article number8653507
Pages (from-to)1698-1711
Number of pages14
JournalIEEE Transactions on Systems, Man, and Cybernetics: Systems
Volume49
Issue number8
DOIs
StatePublished - Aug 2019

Keywords

  • Convergence analysis
  • data deception attacks
  • denial of service (DoS) attacks
  • distributed state estimation
  • smart grid (SG)

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