A New Attack Separation Scheme Based on Bilinear State Estimation

Due to the increasing hidden danger of power system, we may face more challenges and suffer more terrible effects when the state estimation is carried out. State estimation plays a central role in the monitoring and control of smart grid. So we proposed a new attack separation scheme to indicate the false data injection attack in cyber physical smart grid (CPSG), which consists of a bilinear stage state estimator, an anomaly detection method based on a worst-case analysis, and a bad data(BD) processor. We first recognize the false data using bilinear stage estimator. And then we develop an anomaly detection method that takes system uncertainties into account to estimate the possible deviations of states. Furthermore, we propose a BD processor to filter out the false data injected by the attackers, and reconstruct the real power system state. So we can eliminate the smearing affect, maintaining the steady states of the power system. Also, we decouple the power balancing formulation into P-Q forms to improve the computational efficiency. We then validate the efficiency of the proposed approach thought the IEEE 14-bus and 30-bus systems. Finally, the state reconstruction result after attack has been showed.