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Energies 2015, 8(12), 13796-13810; doi:10.3390/en81212393

Cyber Risk Assessment of Transmission Lines in Smart Grids

1
College of Electrical Engineering, Chongqing University, Chongqing 400044, China
2
College of Electrical Engineering, Jinan University, Guangzhou 510632, China
3
College of Electrical Engineering, Illinois Institute of University, Chicago, IL 601106, USA
*
Author to whom correspondence should be addressed.
Academic Editor: G.J.M. (Gerard) Smit
Received: 22 October 2015 / Revised: 26 November 2015 / Accepted: 27 November 2015 / Published: 4 December 2015
(This article belongs to the Special Issue Decentralized Management of Energy Streams in Smart Grids)
View Full-Text   |   Download PDF [1081 KB, uploaded 4 December 2015]   |  

Abstract

The increasing use of information technologies in power systems has increased the risk of power systems to cyber-attacks. In this paper, we assess the risk of transmission lines being overloaded due to cyber-based false data injection attacks. The cyber risk assessment is formulated as bilevel optimization problems that determine the maximum line flows under false data injection attacks. We propose efficient techniques to reduce the computation complexity of solving the bilevel problems. Specifically, primary and secondary filtering techniques are employed to identify the lines whose flows will never exceed their limits, which can significantly reduce computation burden. A special feasibility cut-based acceleration technique is introduced to further reduce the computation burden. The simulation results on the IEEE 30-bus, IEEE 118-bus, IEEE 300-bus and IEEE 2383-bus systems verify the proposed risk assessment model and the effectiveness of the proposed filtering and acceleration techniques. View Full-Text
Keywords: smart grid; energy storage; security-constrained optimal power flow; corrective control; overload smart grid; energy storage; security-constrained optimal power flow; corrective control; overload
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Liu, X.; Liu, X.; Li, Z. Cyber Risk Assessment of Transmission Lines in Smart Grids. Energies 2015, 8, 13796-13810.

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