TY - GEN
T1 - Improving the robustness of the smart grid using a multi-objective key player identification approach
AU - Gunasekara, R. Chulaka
AU - Mehrotra, Kishan G
AU - Mohan, Chilukuri K.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/21
Y1 - 2016/11/21
N2 - 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.
AB - 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.
KW - Key Player Identification
KW - Multi-Objective Optimization
KW - Network Robustness
KW - Smart Grid
UR - http://www.scopus.com/inward/record.url?scp=85006815391&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006815391&partnerID=8YFLogxK
U2 - 10.1109/ASONAM.2016.7752392
DO - 10.1109/ASONAM.2016.7752392
M3 - Conference contribution
AN - SCOPUS:85006815391
T3 - Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
SP - 1205
EP - 1212
BT - Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
A2 - Kumar, Ravi
A2 - Caverlee, James
A2 - Tong, Hanghang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016
Y2 - 18 August 2016 through 21 August 2016
ER -