• Dr J Sarada
• N Teja Vignesh

The expansion of power systems over large geographical areas renders centralized processing inefficient. Therefore, the distributed operation is increasingly adopted. This work introduces a new type of attack against distributed state estimation of power systems, which operates on inter-area boundary buses and show that the developed attack can circumvent existing robust state estimators and the convergence-based detection approaches. Afterward, carefully design a deep learning-based cyber-anomaly detection mechanism to detect such attacks and system reveal that the developed framework can obtain a very high detection accuracy. Centralised processing is inefficient due to the spread of power systems over vast geographic areas. As a result, distributed operations are being used more and more. This paper offers a novel inter-area boundary bus-based attack against distributed state estimation of power systems. We demonstrate how the created attack may defeat the convergence-based detection techniques as well as the current robust state estimators. Then, in order to identify such assaults, we carefully construct a deep learning-based cyber-anomaly detection system. A very high detection accuracy may be obtained using the provided framework, according to simulations performed on the IEEE 14-bus system. Additionally, experimental findings show that the proposed detector outperforms existing machine learning-based detection methods.

Conduction, Detection, Cybet Physical systems, Power systems

"CYBER-PHYSICAL ATTACK CONDUCTION AND DETECTION IN DECENTRALIZED POWER SYSTEMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 10, page no.e30-e36, October-2023, Available :http://www.jetir.org/papers/JETIR2310317.pdf

"CYBER-PHYSICAL ATTACK CONDUCTION AND DETECTION IN DECENTRALIZED POWER SYSTEMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 10, page no. ppe30-e36, October-2023, Available at : http://www.jetir.org/papers/JETIR2310317.pdf