Bad Data Injection Attacks Identification in Power System on Fast Decoupled Load Flow

Abstract

Bad Data Injection Attacks in power system is considered to be the most threatening cyber-physics attack. According to the variety of measurement categories in power system, a new method on fast decoupled load flow for bad data detection and identification is presented. The main contribution of our method is that we use fast decoupled load flow method instead of least square state estimation in the process of bad data state estimation and identification. We use e IEEE 14bus stand test case for single bad data injection attack identification. Experiments results illustrate the bad data identification is effective.