  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.

Adaptation and Self-Organizing Systems