article · Energies
Maintaining stable grid frequency is essential for smart grids facing complex cyber-deception attacks that combine deterministic and stochastic methods. A novel control approach uses trajectory tracking based on a pre-designed, ideal, attack-free reference model to secure load frequency control. The response of this ideal model adapts to load variations and works online to clean corrupted system outputs resulting from cyber deception. System states are subsequently estimated from these cleaned measurements using a regularised least squares observer. A tracking control mechanism then compels the compromised grid to replicate the trajectories of the ideal model. Rather than merely reducing attack impacts, this method completely eliminates the distortions caused by deception attacks while securing targeted transient performance, such as rising and settling times. The stability of the scheme has been analytically assessed and confirmed through testing on an isolated power system model.
Cyber attacks on electrical grids threaten operational stability by manipulating sensor data and system controls. By removing distortions from hybrid deception attacks rather than merely dampening them, this approach helps maintain reliable grid frequency. This ensures power networks can withstand malicious digital interference while maintaining smooth, predictable transient responses during sudden changes in electrical demand.
This control technique could benefit power grid operators, utility companies, and energy management system vendors seeking to protect critical frequency control infrastructure against cyber-attacks. Because testing has been demonstrated on an isolated power system setup, the technology is at an early, simulated or laboratory-based stage of development. Moving towards practical deployment would require integration and verification within industrial-scale energy management platforms and live operational grid environments.
AI-generated from the published abstract. Always read the original work before citing.
Load Frequency Control (LFC) is critical for maintaining stability in smart grids (SGs) against complex hybrid (deterministic and/or stochastic) cyber-deception attacks. This paper presents a new approach to handle such a complicated problem via trajectory tracking of the response of a pre-designed ideal attack-free model. This method guarantees robust tracking in LFC and desired transient behavior (e.g., rising time, settling time). More precisely, the optimal attack-free model’s response is controlled by the chosen control strategy as a result of load variations. The output of such a model is used online to clean up the cyber-deception attacked output of the system. The cleaned output is then used to estimate the states of the system using the recently developed Regularized Least Squares (RLS) observer. Then, a control strategy is proposed to ensure a trajectory tracking mechanism where the cyber-attacked system is forced to follow the trajectories of an ideal attack-free reference model. Unlike other approaches, which attenuate the effect of cyber-attacks, the present approach eliminates the distortions created by these attacks completely. The stability of the proposed scheme is rigorously analyzed, and its efficacy is validated through the application of an isolated power system.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.3390/en19163795
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
