Next Article in Journal
A Lossy Counting-Based State of Charge Estimation Method and Its Application to Electric Vehicles
Next Article in Special Issue
Optimal Bidding Strategy for Renewable Microgrid with Active Network Management
Previous Article in Journal
Effects of Variable Valve Lift on In-Cylinder Air Motion
Previous Article in Special Issue
A Novel, Stable, and Economic Power Sharing Scheme for an Autonomous Microgrid in the Energy Internet
Open AccessArticle

Cyber Risk Assessment of Transmission Lines in Smart Grids

College of Electrical Engineering, Chongqing University, Chongqing 400044, China
College of Electrical Engineering, Jinan University, Guangzhou 510632, China
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
Energies 2015, 8(12), 13796-13810;
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)
PDF [1081 KB, uploaded 4 December 2015]


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

Figure 1

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).

Share & Cite This Article

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top