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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tranchita, C. Hadjsaid, N. Torres, A. |
| Copyright Year | 2006 |
| Description | Author affiliation: Lab. d'Electrotechnique de Grenoble, CNRS, St. Martin d'Heres (Tranchita, C.; Hadjsaid, N.) |
| Abstract | The electrical power system is a set of networks and assets offering a service of public nature essential for the society. Terrorist acts that can affect the power system are increasing. One of the causes is the growing activity of extremist groups from different nations around the world. This paper introduces a technique for ranking contingency resulting from terrorist acts that could represent larger risks for a system. With the use of probabilistic inference, through a Bayesian network, the contingency occurrence probability is obtained as well as the contingency severity. With the risk calculation for each contingency, a set of them is found that will be used in security analysis which will allow diminishing the number of scenarios to study. Although we do not pretend that the obtained risk measures constitute as such a security measurement of the power systems, the results allow choosing on which asset the security study must be concentrated under terrorist scenarios |
| Sponsorship | IEEE Region 8 IEEE Spain Sect |
| Starting Page | 964 |
| Ending Page | 967 |
| File Size | 204605 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424400872 |
| DOI | 10.1109/MELCON.2006.1653259 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-16 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Terrorism Bayesian methods Power system security Power system analysis computing Power system protection Power measurement Power system measurements Power systems Risk analysis Power system economics Bayesian networks Contingency ranking security |
| Content Type | Text |
| Resource Type | Article |
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