False Data Detection in DC Microgrids Based on Fusion of Cubature Kalman Filters
With the extensive application of information technology in a microgrid,the microgrid is developing into a kind of power cyber-physical system(CPS),deeply integrating the physical system and the information system.However,the distributed cooperative control of the microgrid relies heavily on instant communication and system status information,and therefore increases the risk of false data injection attack(FDIA).Aiming at FDIA in the DC microgrid,the paper proposes a method based on the fusion of cubature Kalman filter(CKF)to detect FDIAs.Firstly,a DC microgrid model with false data attack is established to analyze the DC microgrid system under the attacks.Secondly,the fusion of cubature Kalman filter based method is proposed to accurately detect the attacks in the DC microgrid and determine the measuring unit for injecting the attacks.Finally,the simulation results under different DC microgrid model conditions show that the proposed method is more accurate and effective than the traditional CKF detection method under different working conditions.
DC microgridfalse data injectionfusion of CKF algorithmattack detection
万方数据
维普
