Cyber Risk Assessment of Transmission Lines in Smart Grids

Xuan Liu, Xingdong Liu and Zuyi Li
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Xuan Liu: College of Electrical Engineering, Chongqing University, Chongqing 400044, China
Xingdong Liu: College of Electrical Engineering, Jinan University, Guangzhou 510632, China
Zuyi Li: College of Electrical Engineering, Illinois Institute of University, Chicago, IL 601106, USA

Energies, 2015, vol. 8, issue 12, 1-15

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.

Keywords: smart grid; energy storage; security-constrained optimal power flow; corrective control; overload (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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