FDIA-Identified Overloaded Power Lines

Abstract

Blackout events indicate that the overloaded power lines are the chief culprit to trigger the large-scale cascading failures hidden in the power grid. In order to protect the grid from the cascading failures, this paper aims to design a false data injection attack for the operators to identify the overloaded power lines. A leader-follower game-theoretic bi-level optimization model is formulated to maximize the set of overloaded power lines. To evaluate the performance of our proposed method, numerical simulations are performed on the IEEE 14-bus, 30-bus, 57-bus, and 118-bus systems. The results of Monte Carlo experiments indicate that the occurrence frequency of overloaded power lines is the most in our method.