Abstract
This paper discusses cyber attacks and faults diagnosis method for networked electrical power systems. A power system is divided into some areas, then phase angles and angular frequencies are estimated by Kalman filter in each area. Then we propose a diagnosis method for the power grid by using state and output fault diagnosis matrices which are composed of the estimate value and output matrix. These diagnosis matrices can immediately reflect an existence or non-existence of abnormal signal. Finally we show simulation results to analyze effectiveness of the proposed method.
