Abstract
The smart grid interconnects a power grid (network) and a communication network, and enables bi-directional flow of electricity and information. To prevent the cascading failures which occur when the disruptions in one network cause disruptions in the other network, robustness should be enhanced by increasing the number of links (edges) between the power grid and the information flow network. Given a budget which constrains the number of new links that can be added to 'strengthen' the network, the best strategy to determine where to add those new links remains an open research problem. This paper presents a multi-objective approach to identify the best locations in the power network where new links can be added, to improve the overall robustness of the smart grid when constrained by resource limitations. Simulation results show that substantially greater robustness is obtained by using this approach, when compared to other link addition algorithms.
Original language | English (US) |
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Title of host publication | Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1205-1212 |
Number of pages | 8 |
ISBN (Electronic) | 9781509028467 |
DOIs | |
State | Published - Nov 21 2016 |
Event | 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 - San Francisco, United States Duration: Aug 18 2016 → Aug 21 2016 |
Other
Other | 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 |
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Country | United States |
City | San Francisco |
Period | 8/18/16 → 8/21/16 |
Keywords
- Key Player Identification
- Multi-Objective Optimization
- Network Robustness
- Smart Grid
ASJC Scopus subject areas
- Computer Networks and Communications
- Sociology and Political Science
- Communication