State Estimation in Power System Under Deterministic False Data Injection Attack Using Minimization of Nuclear Norm and ℓ<inf>1</inf> Norm with Noisy Constraint Substitution
2024 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2024
Start Page
313
End Page
318
Rights Holder(s)
SCOPUS
Bibliographic Citation
2024 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2024 (2024) , 313-318
Suggested Citation
Tausiesakul B., Asavaskulkiet K., Jeraputra C., Leevongwat I., Singhavilai T., Tiptipakorn S. State Estimation in Power System Under Deterministic False Data Injection Attack Using Minimization of Nuclear Norm and ℓ<inf>1</inf> Norm with Noisy Constraint Substitution. 2024 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2024 (2024) , 313-318. 318. doi:10.1109/ICPSAsia61913.2024.10761403 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/102684
Title
State Estimation in Power System Under Deterministic False Data Injection Attack Using Minimization of Nuclear Norm and ℓ<inf>1</inf> 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.
