Robust Mitigation Strategy Against Dummy Data Attacks in Power Systems

An intelligent attacker can carefully design stealthy false data by hiding them among normal ones to escape detection. Such attacks are referred to as dummy data attacks (DDAs), whose stealth is further improved in this paper, which can induce line overloads and even cascading failures in a power system. Thus, in this paper, we propose a robust mitigation strategy model to mitigate DDAs risk by preventing the attacker from constructing high-stealth attack scenarios. The robust mitigation strategy secures line flow levels and trades off the economy and the security of power systems. A novel decomposition algorithm is developed to solve the proposed model which can guarantee the solution optimality in a finite number of iterations. Simulation results on the IEEE 118-bus and Chinese 132-bus systems demonstrate the effectiveness of the proposed approach.