False Data Injection Attacks Identification for Smart Grids

False Data Injection Attacks (FDIA) in Smart Grid is considered to be the most threatening cyber-physics attack. According to the variety of measurement categories in power system, a new method for false data detection and identification is presented. The main emphasis of our research is that we have equivalent measurement transformation instead of traditional weighted least squares state estimation in the process of SE and identify false data by the residual researching method. In this paper, one FDIA attack case in IEEE 14 bus system is designed by exploiting the MATLAB to test the effectiveness of the algorithm. Using this method the false data can be effectively dealt with.