@inproceedings{91051c3d05e94334903844f9cfd9005b,
title = "The node degree distribution in power grid and its topology robustness under random and selective node removals",
abstract = "In this paper we numerically study the topology robustness of power grids under random and selective node breakdowns, and analytically estimate the critical node-removal thresholds to disintegrate a system, based on the available US power grid data. We also present an analysis on the node degree distribution in power grids because it closely relates with the topology robustness. It is found that the node degree in a power grid can be well fitted by a mixture distribution coming from the sum of a truncated Geometric random variable and an irregular Discrete random variable. With the findings we obtain better estimates of the threshold under selective node breakdowns which predict the numerical thresholds more correctly.",
keywords = "Node degree distribution, Power grid, Topology robustness",
author = "Zhifang Wang and Anna Scaglione and Thomas, {Robert J.}",
year = "2010",
doi = "10.1109/ICCW.2010.5503926",
language = "English (US)",
isbn = "9781424468263",
series = "2010 IEEE International Conference on Communications Workshops, ICC 2010",
booktitle = "2010 IEEE International Conference on Communications Workshops, ICC 2010",
note = "2010 IEEE International Conference on Communications Workshops, ICC 2010 ; Conference date: 23-05-2010 Through 27-05-2010",
}