Distributed H ∞ State Estimation of Large-scale Power Grid Under Mixed-type Attacks

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.