Approaching Optimal Power Flow From Attacker’s Standpoint To Launch False Data Injection Cyberattack

Abstract

This paper approaches the optimal power flow (OPF) to generate a model of false data injection (FDI) cyberattack causing system congestions. In the developed model, hacker takes advantage of a reformulated OPF to optimally manipulate the electric load data such that the system operator is misled and the falsified data injections result in distortions in normal operation of the system. The effectiveness of the developed model from attacker's standpoint is validated on the IEEE 30-bus system. The simulation results verify that the presented FDI approach via OPF not only leads to tie-line congestions but also negatively affects the optimal generation schedules, which implies its impact on security and economy of the system.