State Estimation in Power Systems Under False Data Injection Attack Using Total Least Squares
TL;DR
This study addresses state estimation in smart grids under false data injection attacks, which threaten grid stability. It proposes using Total Least Squares to mitigate these malicious data perturbations and prevent network failures.
State Estimation in Power Systems Under False Data Injection Attack Using Total Least Squares
Bamrung Tausiesakul; Krissada Asavaskulkiet; Chuttchaval Jeraputra; Ittiphong Leevongwat; Thamvarit Singhavilai; Supun Tiptipakorn
https://doi.org/10.1109/ACCESS.2024.3519328
Volume 13
This work considers a state estimation problem in modern power systems, e.g., smart grids. Due to the use of digital technology, the smart grids often encounter malicious data that is deliberately injected to attack their network operations. This kind of perturbation affects the electricity stability to household users and eventually can lead to smart grid network failures. To monitor the operatio...