Enhanced distributed state estimation with resilience to multiple disturbances and false data injection attacks

2021 ◽  
Author(s):  
Xiaoyu Guo ◽  
Songyin Cao ◽  
Zhengtao Ding
Keyword(s):  
State Estimation ◽  
Multiple Disturbances ◽  
False Data Injection ◽  
Injection Attacks ◽  
Distributed State Estimation

scholarly journals Extended Distributed State Estimation: A Detection Method against Tolerable False Data Injection Attacks in Smart Grids

Energies ◽  
2014 ◽  
Vol 7 (3) ◽  
pp. 1517-1538 ◽  
Author(s):  
Dai Wang ◽  
Xiaohong Guan ◽  
Ting Liu ◽  
Yun Gu ◽  
Chao Shen ◽  
...  
Keyword(s):  
State Estimation ◽  
Smart Grids ◽  
Detection Method ◽  
False Data Injection ◽  
Injection Attacks ◽  
Distributed State Estimation

scholarly journals Review of Cyber-Physical Attacks in Smart Grids: A System-Theoretic Perspective

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1153
Author(s):  
Francesco Liberati ◽  
Emanuele Garone ◽  
Alessandro Di Giorgio
Keyword(s):  
Smart Grid ◽  
State Estimation ◽  
Smart Grids ◽  
False Data Injection ◽  
Injection Attacks ◽  
The Common ◽  
Dynamical Properties ◽  
Attack Models

This paper presents a review of technical works in the field of cyber-physical attacks on the smart grid. The paper starts by discussing two reference mathematical frameworks proposed in the literature to model a smart grid under attack. Then, a review of cyber-physical attacks on the smart grid is presented, starting from works on false data injection attacks against state estimation. The aim is to present a systematic and quantitative discussion of the basic working principles of the attacks, also in terms of the inner smart grid vulnerabilities and dynamical properties exploited by the attack. The main contribution of the paper is the attempt to provide a unifying view, highlighting the fundamental aspects and the common working principles shared by the attack models, even when targeting different subsystems of the smart grid.

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