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Analysis of Electric Grid Security Under Terrorist Threat
Open accessAbstract
We describe new analytical techniques to help mitigate the disruptions to electric power grids caused by terrorist attacks. New bilevel mathematical models and algorithms identify critical system components (e.g., transmission lines, generators, transformers) by creating maximally disruptive attack plans for terrorists assumed to have limited offensive resources. We report results for standard reliability test networks to show that the techniques identify critical components with modest computational effort.
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Citations
Cited by
Conceptualizing energy security
Winzer, C. (2012) · Energy Policy · doi:10.1016/j.enpol.2012.02.067 · Cited by 693
Cybersecurity for Critical Infrastructures: Attack and Defense Modeling
Ten, C.-W., Manimaran, G., & Liu, C.-C. (2010) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/tsmca.2010.2048028 · Cited by 445
Modeling Cyber-Physical Vulnerability of the Smart Grid With Incomplete Information
Srivastava, A., Morris, T., Ernster, T., Vellaithurai, C., Pan, S., & Adhikari, U. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2232318 · Cited by 169
Classification and trend analysis of threats origins to the security of power systems
Bompard, E., Huang, T., Wu, Y., & Cremenescu, M. (2013) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2013.02.008 · Cited by 164
Metadata
- Authors
- Salmeron, J., Wood, K., & Baldick, R.
- Venue
- IEEE Transactions on Power Systems
- Published
- 2004-05
- Volume
- 19
- Issue
- 2
- Pages
- 905-912
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2153561032
- Cited by
- 562
- References
- 0
- FWCI
- 29.97
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Salmeron, J., Wood, K., & Baldick, R. (2004). Analysis of Electric Grid Security Under Terrorist Threat. IEEE Transactions on Power Systems. https://doi.org/10.1109/tpwrs.2004.825888
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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