Observer-Based Detection and Mitigation Scheme for Isolated Microgrid Under False Data Injection Attack

Abstract

The continuous increase in the share of renewable energy generation and varying power demand are rendering the frequency stability of the isolated microgrids (MGs) volatile. Likewise, the communication layer in smart MGs is prone to cyberattacks that may affect the physical operation of the MG elements. Thus, there is a need to develop advanced and resilient frequency control schemes to mitigate the impacts of different perturbations that can compromise the frequency stability of the MG. This paper deploys the unknown input observer (UIO) in the secondary frequency control (SFC) loop of the MG for unknown input estimation. The developed UIO has the capability to detect and estimate cyberattacks and use the estimated cyberattack to counterattack the true cyberattack, thus, maintaining the stability of the MG. The simulation results show that the designed UIO strategy can guarantee the invulnerable operation of the MG in the presence of cyberattacks.