Modelling and Countermeasures of False Data Injection Attacks Against State Estimation in Power Systems

Abstract

False Data Injection Attacks (FDIA) has been shown to be one of the serious security challenges combating power systems. This is becoming a grown concern to power utilities and has drawn the attention of power system researchers and Engineers in recent times. State estimation in power system operation and planning is therefore an important and an essential tool for monitoring and controlling the system to estimate the best state of the power system through meter measurements and power system topologies. This paper therefore presents the modeling and countermeasures for avoiding unnecessary total blackout within the system. The vulnerability of both the Transmission and the distribution power system to FDIA is also considered in this paper. The outcomes of this paper could serve as a basis for the development of necessary protective countermeasures against vulnerabilities within power system networks.