Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter

• Published in: International Journal of Power Electronics and Drive Systems Vol. 13; no. 4; p. 2086
• Main Authors: Dayananda, Prakyath, Srikantaswamy, Mallikarjunaswamy, Nagaraju, Sharmila, Velluri, Rekha, Kumar, Doddananjedevaru Mahesh
• Format: Journal Article
• Language: English
• Published: Yogyakarta IAES Institute of Advanced Engineering and Science 01.12.2022
• Subjects: Channel noise; Communication; Denial of service attacks; Electronics; Engineering; Fault detection; Kalman filters; Mathematical analysis; Mathematical models; Random noise; Reconfiguration; Sensors; Sine waves; Smart grid; State variable; Variables; Vocational education

The distribution denial of service (DDoS) attack, fault data injection attack (FDIA) and random attack is reduced. The monitoring and security of smart grid systems are improved using reconfigurable Kalman filter. Methods: A sinusoidal voltage signal with random Gaussian noise is applied to the Reco...