Robustness of the western United States power grid under edge attack strategies due to cascading failures
Robustness of the western United States power grid under edge attack strategies due to cascading failures
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DOI：
10.1016/j.ssci.2010.10.003
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发表时间：
2011-07-01
期刊：
影响因子：
6.1
通讯作者：
Rong, Li-Li
中科院分区：
文献类型：
--
作者：
Wang, Jian-Wei;Rong, Li-Li
电力系统是现代基础设施的基本支撑，保护它们免受随机故障或故意攻击是安全科学的一个活跃研究课题。本文的动机是以下两个相关的问题，在电网上的连锁故障：有效的边缘攻击策略和低成本的边缘保护。应用最近的级联模型，通过采用本地负载再分配规则，其中边缘ij的初始负载是（k（i）k（j）），k（i）和k（j）是由边缘连接的节点的度，我们调查的性能的美国西部电网受到三次故意攻击。仿真结果表明，不同攻击方式对网络抗级联故障鲁棒性的影响与可调参数0。特别地，在0 < 1.4的情况下，对具有较低负载的边缘的攻击可以导致比具有较高负载的边缘上的攻击更大的级联故障。此外，与其他两种攻击相比，移除具有相邻边缘的总容量与受攻击边缘的容量之间的最小比例的边缘通常易于触发美国电网上的级联故障。我们的研究结果不仅有助于有效保护所选择的关键边缘以避免故障引发的灾难，而且对于设计高鲁棒性和低成本的基础设施网络也很有用。(C)2010爱思唯尔有限公司版权所有。
Power systems are the basic support of modern infrastructures and protecting them from random failures or intentional attacks is an active topic of research in safety science. This paper is motivated by the following two related problems about cascading failures on power grids: efficient edge attack strategies and lower cost protections on edges. Applying the recent cascading model by adopting a local load redistribution rule, where the initial load of an edge ij is (k(i)k(j)) with k(i) and k(j) being the degrees of the nodes connected by the edge, we investigate the performance of the power grid of the western United States subject to three intentional attacks. Simulation results show that the effects of different attacks for the network robustness against cascading failures have close relations with the tunable parameter 0. Particularly, the attack on the edges with the lower load in the case of 0 < 1.4 can result in larger cascading failures than the one on the edges with the higher load. In addition, compared with the other two attacks, a new attack, i.e., removing the edges with the smallest proportion between the total capacities of the neighboring edges of and the capacity of the attacked edge, usually are prone to trigger cascading failures over the US power grid. Our findings will be not only helpful to protect the key edges selected effectively to avoid cascading-failure-induced disasters, but also useful in the design of high-robustness and low-cost infrastructure networks. (C) 2010 Elsevier Ltd. All rights reserved.