Title :
Cyber attack detection and faults diagnosis in power networks by using state fault diagnosis matrix
Author :
Fujita, Yoshikazu ; Namerikawa, Toru ; Uchida, Kazunori
Author_Institution :
Dept. of Syst. Design Eng., Keio Univ., Yokohama, Japan
Abstract :
This paper discusses cyber attacks and faults diagnosis method for networked electrical power systems. In this paper, a power system is divided into some areas, and then, some parameters are estimated by Kalman filter in each area. Then we propose a diagnosis method by using called state and output fault diagnosis matrices which are composed of the estimated values, output matrix and so on. These diagnosis matrices can immediately judge which nodes of which area is attacked. Finally, some simulation results are shown to validate the proposed approach.
Keywords :
Kalman filters; fault diagnosis; matrix algebra; power system security; transmission networks; Kalman filter; cyber attack detection; electrical power system; parameter estimation; power network; state fault diagnosis matrix; Covariance matrices; Equations; Estimation; Fault diagnosis; Generators; Mathematical model; Noise;
Conference_Titel :
Control Conference (ECC), 2013 European