Power Grid-Oriented Cascading Failure Vulnerability Identifying Method Based on Wireless Sensors

In our paper, we study the vulnerability in cascading failures of real-world network (power grid) under intentional attacks. Here, use three indexes ( B , id="M2"> K id="M3"> k -shell) to measure importance nodes; that is, define attacks, respectively. Under these process cascade effect by number avalanche nodes, time steps, and speed propagation. Also, node’s bearing capacity as a tolerant parameter robustness Taking power grid an example, have obtained good regularity collapse when affordability is low. terms speed, betweenness-based collapses faster, but for degree-based attack, failed nodes highest. When nodes’ becomes large, network’s performances not obvious. The findings can be applied identify vulnerable real networks such wireless sensor improve their against different