In this paper, a methodology inspired on bond and site percolation methods is applied to the estimation of the resilience against failures in power grids. Our approach includes vulnerability measures with both dynamical and structural foundations as an attempt to find more insights about the relationships between topology and dynamics in the second-order Kuramoto model on complex networks. As test cases for numerical simulations, we use the real-world topology of the Colombian power transmission system, as well as randomly generated networks with spatial embedding. It is observed that, by focusing the attacks on those dynamical vulnerabilities, the power grid becomes, in general, more prone to reach a state of total blackout, which in the case of node removal procedures it is conditioned by the homogeneity of power distribution in the network.

中文翻译：

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在动态诱发的脆弱性下降低电网的弹性

在本文中，一种受债券和现场渗透方法启发的方法被应用于估计电网故障的恢复能力。我们的方法包括具有动力学和结构基础的脆弱性测量，试图在复杂网络的二阶 Kuramoto 模型中找到关于拓扑和动力学之间关系的更多见解。作为数值模拟的测试用例，我们使用了哥伦比亚电力传输系统的真实拓扑结构，以及随机生成的具有空间嵌入的网络。观察到，通过将攻击集中在那些动态漏洞上，电网通常更容易达到完全停电的状态，在节点移除程序的情况下，它受到电力分配的同质性的限制。网络。