Incorporating Unidentifiable Cyberattacks into Power System Reliability Assessment

With the ongoing power grid modernization initiative, more cyber technologies are being deployed in the modern cyberphysical power systems. However, as a result higher cyberattack risks will be brought about. Unidentifiable attacks, which are a type of emerging false data injection attacks, could affect the outcomes of State Estimation (SE) by compromising some meter measurements and thus misleading the power dispatch. Thus, it is necessary to analyze the impact of unidentifiable attacks on the power supply reliability. Here an optimal strategy for constructing the attack vector is studied. The procedure for incorporating the unidentifiable attacks into the power system reliability assessment framework using Monte Carlo Simulation (MCS) is proposed. Simulation studies are conducted based on the IEEE 14-bus system. According to the simulation results, it is found that the long-term reliability of the power system could be impacted by the cyberattacks if they occur frequently. This study could provide some useful insights into the cybersecurity study of smart grid.