拓扑模型能提供电力网脆弱性的良好信息吗？
Do topological models provide good information about vulnerability in electric power networks?
摘要：
为了确定拓扑图模型的结果在何种程度上是有用的电力基础设施的脆弱性建模，我们衡量的敏感性，电力网络的随机故障和定向攻击使用三种措施的脆弱性：特征路径长度，连通性损失和停电的大小。前两个是纯粹的拓扑度量。停电规模的计算是基于电网连锁故障模型的。测试响应的40个地区内的美国东部电网和一个标准的IEEE测试案例的各种攻击/故障向量表明，定向攻击导致较大的故障使用所有三个漏洞的措施，但攻击向量，似乎造成最大的损害取决于所选择的措施。虽然我们的拓扑和电网模型结果显示出一些相似的趋势，但各个模拟的脆弱性措施之间只有轻微的相关性。我们的结论是，在电力网络中使用纯粹的拓扑指标评估脆弱性可能会产生误导。
英文摘要：
In order to identify the extent to which results from topological graph models are useful for modeling vulnerability in electricity infrastructure, we measure the susceptibility of power networks to random failures and directed attacks using three measures of vulnerability: characteristic path lengths, connectivity loss and blackout sizes. The first two are purely topological metrics. The blackout size calculation results from a model of cascading failure in power networks. Testing the response of 40 areas within the Eastern US power grid and a standard IEEE test case to a variety of attack/failure vectors indicates that directed attacks result in larger failures using all three vulnerability measures, but the attack vectors that appear to cause the most damage depend on the measure chosen. While our topological and power grid model results show some trends that are similar, there is only a mild correlation between the vulnerability measures for individual simulations. We conclude that evaluating vulnerability in power networks using purely topological metrics can be misleading.
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