Optimal resilient defense strategy against false data injection attacks on power system state estimation

Abstract

This paper presents a resilient defense strategy to protect the power system state estimation against false data injection (FDI) attacks. The proposed strategy is based on calculation of the risk of the attack and the optimal budget allocation on the measurements. The method has been formulated as a mixed integer nonlinear programming (MINLP) problem. Multiple researchers have addressed the same problem but with the assumption that some meter measurements can be fully protected or without considering the risk of the attack. The validation of the proposed method has also been evaluated based on various IEEE standard test systems, including IEEE 5-bus, 9-bus, 14-bus and 39-bus system.