State Estimation in Power Systems Under Random Data Attack Using Correlation Matching, Semidefinite Relaxation, and Truncated Eigenvalue Decomposition
TL;DR
This study addresses state estimation in smart grids under random data attacks using correlation matching, semidefinite relaxation, and truncated eigenvalue decomposition to enhance grid security and prevent failures.
State Estimation in Power Systems Under Random Data Attack Using Correlation Matching, Semidefinite Relaxation, and Truncated Eigenvalue Decomposition
Bamrung Tausiesakul; Krissada Asavaskulkiet; Chuttchaval Jeraputra; Ittiphong Leevongwat; Thamvarit Singhavilai; Supun Tiptipakorn
https://doi.org/10.1109/ACCESS.2024.3519388
Volume 13
This work considers a state estimation problem in modern power systems from the perspective of smart grids. Due to the use of digital technology, smart grids often encounter malicious data that is deliberately injected to attack their grid operations. Such kind of perturbation could be targeted at any domain of a smart grid from household customers to bulk generation, leading to network failures a...