期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 396, 期 -, 页码 204-211出版社
ELSEVIER
DOI: 10.1016/j.physa.2013.10.041
关键词
Power grid; Vulnerability; Correlation analysis; Multiple component failures
资金
- National Science Foundation of China [51208223]
- Independent Innovation Foundation of Huazhong University of Science and Technology [2012QN088]
Many scholars have used different metrics to quantify power grid vulnerability in the literature, but how correlated these metrics are is an interesting topic. This paper defines vulnerability as the performance drop of a power grid under a disruptive event, and selects six frequently used performance metrics, including efficiency (E), source demand considered efficiency (SDE), largest component size (LCS), connectivity level (CL), clustering coefficient (CC), and power supply (PS), to respectively quantify power grid vulnerability V under different node or edge failure probabilities fp and then analyzes the correlation of these six vulnerability metrics. Taking the IEEE 300 power grid as an example, the results show that the flow-based metric V-PS, which is equivalent to the important load shed metric in power engineering, has mild correlation with source demand considered topology-based metrics V-SDE and V-CL, but weak correlation with other topology-based metrics V-E, V-LCS and V-CC which do not differentiate source demand nodes. Similar results are also found in other types of failures, other system operation parameters and other power grids. Hence, one should be careful to use topology-based metrics to quantify the real vulnerability of power grids. (C) 2013 Elsevier B.V. All rights reserved.
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