Vulnerability Analysis of False Data Injection Attacks on the Frequency Stability of Isolated Microgrids

Abstract

In smart grid technology, modern communication infrastructure is utilized for the exchange of data between various elements of the microgrid (MG) system and the MG control center (MGCC). However, the integrity of the data may be compromised through cyber-attack activities leading to disruption in the stability and safe operation of the MG system. This paper investigates the vulnerability of frequency measurements to false data injection (FDI) attacks in an isolated MG system. The impact of two kinds of FDI attack on the frequency stability of the MG system is analyzed. The results show that FDI attacks can stealthily destabilize the stability of the MG with an exogenous FDI attack and more damage can be done with an endogenous FDI attack of negative magnitude. The analysis is done using the MATLAB/Simulink software.