Linearized Attack Vector Formulation against AC State Estimator

Recently, False Data Injection Attack (FDIA) has gained much attention in the electrical research community, because of the adverse effects of FDIA on the day-to-day operation of smart grids. Recent literature provides various approaches to formulate the Attack Vector (AV), to misguide the DC state estimator as well as AC state estimator. However most approaches which formulate the AV for AC state estimator are iterative in nature. Hence, in this work, an approach for linearized AV formulation has been proposed to formulate stealth as well as semi-stealth FDIAs against the nonlinear AC state estimator. The proposed linearized attack vector formulation technique, will not only be able to deceive the bad data detection but shall also be able to formulate the AV in the least possible amount of time. A maximizing approach has also been proposed to maximize the effect of FDIA. The proposed approach has been tested on the IEEE 118 bus test system, under various loading conditions with varying degree of attack magnitudes, which prove the efficacy of the approach.