Distributed H∞ State Estimation of Large-scale Power Grid Under Mixed-type Attacks
- Resource Type
- Conference
- Authors
- Wu, Yunfa; Li, Jun-yi; Zhang, Bin; Lin, Wenshuai
- Source
- 2020 Chinese Control And Decision Conference (CCDC) Chinese Control And Decision Conference (CCDC), 2020. :5182-5187 Aug, 2020
- Subject
- General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
State estimation
Power grids
Estimation error
Power system stability
Stability analysis
Stochastic processes
Symmetric matrices
Large-scale power grid
Mixed-type attacks
Distributed state estimation
- Language
- ISSN
- 1948-9447
This paper studies the distributed state estimation problem for large-scale power grid under mixed-type attacks. The topology is introduced to describe the relationship among distributed sensor nodes. Two separate Bernoulli sequences are used to describe the situations that denial of service attack and deception attack occur randomly and independently of each other. Based on the Lyapunov method and stochastic technique, a sufficient condition is obtained which guarantees the mean-square stability and H ∞ performance of the nonlinear large-scale power grid system under the mixed-type attacks. Distributed state estimators are designed to maintain a small estimation error under mixed-type attacks. Finally, the effectiveness of the designed estimators is verified by numerical simulation.