Improving the robustness of the smart grid using a multi-objective key player identification approach

R. Chulaka Gunasekara; Kishan Mehrotra; Chilukuri K Mohan

doi:10.1109/ASONAM.2016.7752392

Improving the robustness of the smart grid using a multi-objective key player identification approach

R. Chulaka Gunasekara, Kishan Mehrotra, Chilukuri K Mohan

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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)
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	https://doi.org/10.1109/ASONAM.2016.7752392
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
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

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Cite this

Gunasekara, R. C., Mehrotra, K., & Mohan, C. K. (2016). Improving the robustness of the smart grid using a multi-objective key player identification approach. In Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016 (pp. 1205-1212). [7752392] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASONAM.2016.7752392

Improving the robustness of the smart grid using a multi-objective key player identification approach. / Gunasekara, R. Chulaka; Mehrotra, Kishan; Mohan, Chilukuri K.

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1205-1212 7752392.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gunasekara, RC, Mehrotra, K & Mohan, CK 2016, Improving the robustness of the smart grid using a multi-objective key player identification approach. in Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016., 7752392, Institute of Electrical and Electronics Engineers Inc., pp. 1205-1212, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, United States, 8/18/16. https://doi.org/10.1109/ASONAM.2016.7752392

Gunasekara RC, Mehrotra K, Mohan CK. Improving the robustness of the smart grid using a multi-objective key player identification approach. In Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1205-1212. 7752392 https://doi.org/10.1109/ASONAM.2016.7752392

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