An Evolving Network Model for Power Grids Based on Geometrical Location Clusters
Author:
Affiliation:
1. School of Electronic and Communication, Shenzhen Institute of Information Technology
2. School of Aeronautics and Astronautics, Zhejiang University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E101.D/2/E101.D_2017EDL8177/_pdf
Reference10 articles.
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3. [3] Z.-J. Kang, Y.-J. Zhang, X.-L. Guo, and Z.-M. Lu, “The structural vulnerability analysis of power grids based on second-order centrality,” IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, vol.E100-A, no.7, pp.1567-1570, July 2017. 10.1587/transfun.e100.a.1567
4. [4] Y.-J. Zhang, Z.-J. Kang, X.-L. Guo, and Z.-M. Lu, “The structural vulnerability analysis of power grids based on overall information centrality,” IEICE Transactions on Information and Systems, vol.E99-D, no.3, pp.769-772, March 2016. 10.1587/transinf.2015edl8226
5. [5] Y.-J. Zhang, Z.-J. Kang, X.-F. Li, and Z.-M. Lu, “The controllability of power grids in comparison with classical complex network models,” IEICE Transactions on Information and Systems, vol.E99-D, no.1, pp.279-282, Jan. 2016. 10.1587/transinf.2015edl8207
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