State Estimation in Power System Under Deterministic False Data Injection Attack Using Minimization of Nuclear Norm and ℓ₁ Norm with Noisy Constraint Substitution

This work considers a state estimation problem in the power system of a smart grid network. We propose an improved optimization technique for extracting the attack-free signal component from the attacked data obtained from the measurement and a concept of estimating the power system state vector from the extracted signal component. Numerical simulation is conducted to demonstrate the possible operation of the proposed concept and the numerical results indicate that our proposed technique for extracting the attack-free signal component consumes less computational time than the former work.