Topological vulnerability of power grids to disasters: Bounds, adversarial attacks and reinforcement

被引:1
|
作者
Deka, Deepjyoti [1 ]
Vishwanath, Sriram [2 ]
Baldick, Ross [2 ]
机构
[1] Los Alamos Natl Lab, Ctr Nonlinear Studies, Los Alamos, NM 87545 USA
[2] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA
来源
PLOS ONE | 2018年 / 13卷 / 10期
关键词
FAILURES; ROBUSTNESS; MITIGATION; STRATEGIES; NETWORKS; CASCADE; MODEL;
D O I
10.1371/journal.pone.0204815
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Natural disasters like hurricanes, floods or earthquakes can damage power grid devices and create cascading blackouts and islands. The nature of failure propagation and extent of damage, among other factors, is dependent on the structural features of the grid, that are distinct from that of random networks. This paper analyzes the structural vulnerability of real power grids to impending disasters and presents intuitive graphical metrics to quantify the extent of topological damage. We develop two improved graph eigen-value based bounds on the grid vulnerability. Further we study adversarial attacks aimed at weakening the grid's structural robustness and present three combinatorial algorithms to determine the optimal topological attack. Simulations on power grid networks and comparison with existing work show the improvements of the proposed measures and attack schemes.
引用
收藏
页数:18
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