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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Benidris, M. Mitra, J. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA (Benidris, M.; Mitra, J.) |
| Abstract | This work introduces a technique to reduce the search space in evaluating the sensitivity of the well known reliability indices of power systems with respect to component parameters and system operating limits. In performing the sensitivity analysis, the computation time burden is of concern. A heuristic technique based on maximum capacity flow of the transmission lines was used in truncating the state space by identifying the definite failure subspace. Minimum generation vector technique was utilized to prune the definite success subspace. The failure states in the unclassified subspace were discovered using binary Particle Swarm Optimization, PSO, technique. From the definite failure subspace and the failure states that are discovered by the binary PSO, the sensitivity of the reliability indices were calculated. This method was applied on the IEEE RTS and it gave promising results. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 225628 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479964154 |
| DOI | 10.1109/PESGM.2014.6939915 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Power system reliability Reliability Sensitivity analysis Power transmission lines Particle swarm optimization directed BPSO Reliability indices sensitivity analysis composite systems state space reduction |
| Content Type | Text |
| Resource Type | Article |
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