Cyber-Attack on Overloading Multiple Lines: A Bilevel Mixed-Integer Linear Programming Model

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2018Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Smart Grid, volume 9, pages 1,534-1,536 (issn: 1949-3053, eissn: 1949-3061,

Authors: Yi Tan; Yong Li; Yijia Cao; Mohammad Shahidehpour;

doi: 10.1109/tsg.2017.2726338

Cyber-Attack on Overloading Multiple Lines: A Bilevel Mixed-Integer Linear Programming Model

- Summary
- Metrics

Abstract

In this letter, we propose a bilevel mixed-integer linear programming (BMILP) model for cyber-attack on multiple transmission lines in economic dispatch by injecting false load data. In contrast to the state of art research, the proposed model is able to overload a set of lines that are selected by the attacker in the framework of BMILP. Therefore, the proposed model is computationally efficient due to its bilevel linear programming property. The effectiveness of the proposed bilevel linear approach has been successfully validated on an IEEE 118-bus system.

Related Organizations

Illinois Institute of Technology
United States
Hunan Women'S University
China (People's Republic of)

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	57
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%