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Title: Topological Power Grid Statistics from a Network-of-Networks Perspective

Abstract

In this work we provide novel tools to evaluate the ``realism'' of a power system topology based combining ideas from the study of complex networks with electrical system parameters. Specifically, we show that the recent network-of-networks approach of Halappanavar, et al.\ can be used to gain insight into reasonable ranges for topological properties of a power system such as, diameter, average shortest path length, core size, and clustering.

Authors:
ORCiD logo [1];  [1];  [1]; ORCiD logo [1];  [1];  [1];  [1];  [1]; ORCiD logo [1]
  1. BATTELLE (PACIFIC NW LAB)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1532501
Report Number(s):
PNNL-SA-130492
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: IEEE Power & Energy Society General Meeting (PESGM 2018), August 5-10, 2018, Portland, OR
Country of Publication:
United States
Language:
English

Citation Formats

Young, Stephen J., Makarov, Yuri V., Diao, Ruisheng, Halappanavar, Mahantesh, Vallem, Mallikarjuna R., Fan, Rui, Huang, Renke, O'Brien, James G., and Huang, Zhenyu. Topological Power Grid Statistics from a Network-of-Networks Perspective. United States: N. p., 2018. Web. doi:10.1109/PESGM.2018.8586475.
Young, Stephen J., Makarov, Yuri V., Diao, Ruisheng, Halappanavar, Mahantesh, Vallem, Mallikarjuna R., Fan, Rui, Huang, Renke, O'Brien, James G., & Huang, Zhenyu. Topological Power Grid Statistics from a Network-of-Networks Perspective. United States. doi:10.1109/PESGM.2018.8586475.
Young, Stephen J., Makarov, Yuri V., Diao, Ruisheng, Halappanavar, Mahantesh, Vallem, Mallikarjuna R., Fan, Rui, Huang, Renke, O'Brien, James G., and Huang, Zhenyu. Mon . "Topological Power Grid Statistics from a Network-of-Networks Perspective". United States. doi:10.1109/PESGM.2018.8586475.
@article{osti_1532501,
title = {Topological Power Grid Statistics from a Network-of-Networks Perspective},
author = {Young, Stephen J. and Makarov, Yuri V. and Diao, Ruisheng and Halappanavar, Mahantesh and Vallem, Mallikarjuna R. and Fan, Rui and Huang, Renke and O'Brien, James G. and Huang, Zhenyu},
abstractNote = {In this work we provide novel tools to evaluate the ``realism'' of a power system topology based combining ideas from the study of complex networks with electrical system parameters. Specifically, we show that the recent network-of-networks approach of Halappanavar, et al.\ can be used to gain insight into reasonable ranges for topological properties of a power system such as, diameter, average shortest path length, core size, and clustering.},
doi = {10.1109/PESGM.2018.8586475},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {8}
}

Conference:
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