Data Integrity Attacks and their Impact on Cyber- Physical Power System Control Applications
DOI:
https://doi.org/10.33686/pwj.v20i1.1161Keywords:
Automatic Generation Control, False Data Injection Attack, Pulse, Ramp, Scale, Smart Grid, State Space Model, State Estimation Two-Area Power System, StepAbstract
This paper explores the vulnerability of two-area Automatic Generation Control (AGC) systems in smart grids to False Data Injection (FDI) attacks. The AGC system is modelled using state space equations, and its stability and performance are scrutinized under typical load variations. Utilizing MATLAB Simulink, various FDI attacks are introduced to assess their characteristics and potential consequences. The study emphasizes the critical significance of understanding diverse FDI attacks within the context of two-area AGC networks, underscoring their potential to induce malfunctions and blackouts. The findings highlight the need for heightened awareness of cybersecurity risks in AGC systems and emphasize the importance of fortifying these systems against potential threats to ensure the continued resilience and reliability of smart grids.
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Pillai AG, Samuel ER, Unnikrishnan A. Optimal load frequency control through combined state and control gain estimation for noisy measurements. Protect Cont Modern Pow Syst. 2020; 5(1). https://doi.org/10.1186/s41601-020-00169-5 DOI: https://doi.org/10.1186/s41601-020-00169-5
Magzoub MA, Alquthami T. Optimal design of automatic generation control based on simulated annealing in interconnected two-area power system using hybrid PIDfuzzy control. Energies. 2022; 15(4):1540. https://doi.org/10.3390/en15041540 DOI: https://doi.org/10.3390/en15041540
Talukdar BK, Debnath R, Dutta S, Kumar B, Das M. Design of state space model and optimal controller for automatic generation control of two area thermal power system. Int J Adv Res Innov Ideas Edu. 2018; 4(3):1552-8650.
Vidya SP, Rayalu MSK. State-space approach of automatic generation control of two-area multi- source power systems. Proc Int Conf Comput Intell Sustain Technol; 2022. p. 45363. https://doi.org/10.1007/978-981-16-6893-7_41 DOI: https://doi.org/10.1007/978-981-16-6893-7_41
Vrakopoulou M, Esfahani PM, Margellos K, Lygeros J, Andersson G. Cyber-attacks in the automatic generation control. Pow Syst. 2015;303-28. https://doi.org/10.1007/9783-662-45928-7_11 DOI: https://doi.org/10.1007/978-3-662-45928-7_11
Bi W, Zhang K, Chen CY. Cyber-attack detection scheme for a load frequency control system based on dual-source data of compromised variables. Appl Sci. 2021; 11(4):15844. https://doi.org/10.3390/app11041584 DOI: https://doi.org/10.3390/app11041584
Patel A, Purwar S. Event-triggered detection of cyberattacks on load frequency control. IET Cyber- Physical Systems: Theory and Applications. 2020; 5(3):263-73. https://doi.org/10.1049/iet- cps.2019.0067 DOI: https://doi.org/10.1049/iet-cps.2019.0067
He X, Liu X, Li P. Coordinated false data injection attacks in AGC system and its countermeasure. IEEE Access. 2020; 8:191167-76. DOI: https://doi.org/10.1109/ACCESS.2020.3033566
Ayad A, Khalaf M, El-Saadany EF. Detection of false data injection attacks in automatic generation control systems considering system nonlinearities. IEEE Elect Pow Energ Conf (EPEC), Canada: Toronto, 2018 Oct 10-11; 2018. https://doi.org/10.1109/EPEC.2018.8598328 PMid:30241179 DOI: https://doi.org/10.1109/EPEC.2018.8598328
10. An A, Lin J, Cheng C, Zhu W. Distributed model predictive control for two-area interconnected power system. IOP Conf Series Earth Environ Sci. 2018; 186:012008-8. https://doi.org/10.1088/1755-1315/186/4/012008 DOI: https://doi.org/10.1088/1755-1315/186/4/012008