Abstract
We develop upper bounds for line failure probabilities in power grids, under the DC approximation and assuming Gaussian noise for the power injections. Our upper bounds are explicit, and lead to characterization of safe operational capacity regions that are convex and polyhedral, making our tools compatible with existing planning methods. Our probabilistic bounds are derived through the use of powerful concentration inequalities.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 |
| Publisher | IEEE Computer Society |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538622124 |
| DOIs | |
| Publication status | Published - 29 Jan 2018 |
| Externally published | Yes |
| Event | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States Duration: 16 Jul 2017 → 20 Jul 2017 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| Volume | 2018-January |
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Conference
| Conference | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 |
|---|---|
| Country/Territory | United States |
| City | Chicago |
| Period | 16/07/17 → 20/07/17 |
Funding
ACKNOWLEDGMENTS This research has been completed at the Simons Institute in Berkeley, and has been supported by an NWO VICI grant.
Keywords
- power systems
- rare events
- applied probability
- large deviations
- concentration inequalities
- Stochastic modelling
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