This brief studies the distributed estimation problem for multi-area power systems where the
sensor measurements encounter with false data injection (FDI) attacks. For the large load …

This paper proposes a penalty-based adaptive secure estimation method for multi-area
power systems under false data injection (FDI) attacks, the adaptive secure estimation …

This article investigates the distributed state estimation problem for large-scale power
systems, where both false data injection (FDI) and denial-of-service (DoS) attacks are …

Given the strong cyber–physical interactions in today's smart grid, false data injection (FDI)
attack can readily mislead the state estimation and influence the system operation by …

This article presents an observer-based decentralized detection and mitigation (ODDM)
scheme for the interconnected power system subject to multiarea multichannel false data …

Dynamic-state estimation plays a critical role in achieving real-time wide-area monitoring of
power systems. On the other hand, false data injection (FDI) attacks are substantial threats …

False data injection attacks (FDIAs) against the load frequency control (LFC) system can
lead to unstable operation of power systems. In this paper, the problems of detecting and …

An accurate power state is the basis of the normal functioning of the smart grid. However,
false data injection attacks (FDIAs) take advantage of the vulnerability in the bad data …

With the continuous expansion of the power grid nodes scale, traditional centralized state
estimation method shows certain limitations in estimation efficiency and accuracy. Recently …

In this paper, a distributed detection and isolation scheme against False Data Injection
attacks FDIAs in smart grids is studied. Taking the stealthy characteristics of FDIAs into …