Detection of False Data Injection Attacks in Distributed State Estimation of Power Networks

摘要

In a power network, it is important to detect a cyber attack.In this paper, we propose a method for detecting false data injection (FDI)attacks in distributed state estimation. An FDI attack is well known as oneof the typical cyber attacks in a power network. As a method of FDI attackdetection, we consider calculating the residual (i.e., the difference betweenthe observed and estimated values). In the proposed detection method,the tentative residual (estimated error) in ADMM (Alternating DirectionMethod of Multipliers), which is one of the powerful methods in distributedoptimization, is applied. First, the effect of an FDI attack is analyzed. Next,based on the analysis result, a detection parameter is introduced based onthe residual. A detection method using this parameter is then proposed.Finally, the proposed method is demonstrated through a numerical exampleon the IEEE 14-bus system.