Overview of fraudulent data attack on power system state estimation and defense mechanism

Aiming to distort power system state estimation by efficiently bypassing traditional bad data detection and identification algorithms, fraudulent data pose a great threat to safe and reliable operations of power systems. Therefore, more attention should be paid to investigate data security vulnerabilities of real power systems and formulate corresponding defense mechanism during process of constructing secure smart grids. For this reason, basic principles of fraudulent data and their impacts on power systems are firstly discussed. Secondly, according to feasible ways of constructing fraudulent data, their manipulation methods are classified into 2 categories: manipulating data collection and corrupting data communication. Thirdly, according to their capabilities, defense mechanismsare classified into 3 types: detection, identification and containment. Then merits and demerits of these defense mechanisms are discussed. Finally, some issues in urgent solution need aboutfraudulent data attacks and defense mechanisms are pointed out. © 2016, Power System Technology Press. All right reserved.