IEICE TRANSACTIONS on Information
The Structural Vulnerability Analysis of Power Grids Based on Overall Information Centrality
Summary :
The power grid defines one of the most important technological networks of our times and has been widely studied as a kind of complex network. It has been developed for more than one century and becomes an extremely huge and seemingly robust system. But it becomes extremely fragile as well because some unexpected minimal failures may lead to sudden and massive blackouts. Many works have been carried out to investigate the structural vulnerability of power grids from the topological point of view based on the complex network theory. This Letter focuses on the structural vulnerability of the power grid under the effect of selective node removal. We propose a new kind of node centrality called overall information centrality (OIC) to guide the node removal attack. We test the effectiveness of our centrality in guiding the node removal based on several IEEE power grids. Simulation results show that, compared with other node centralities such as degree centrality (DC), betweenness centrality (BC) and closeness centrality (CC), our OIC is more effective to guide the node removal and can destroy the power grid in less steps.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.3 pp.769-772
- Publication Date
- 2016/03/01
- Publicized
- 2015/12/11
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2015EDL8226
- Type of Manuscript
- LETTER
- Category
- Artificial Intelligence, Data Mining
Authors
Yi-Jia ZHANG
China University of Petroleum (Eastern China)
Zhong-Jian KANG
China University of Petroleum (Eastern China)
Xin-Ling GUO
Zhejiang University
Zhe-Ming LU
Zhejiang University
Keyword
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Yi-Jia ZHANG, Zhong-Jian KANG, Xin-Ling GUO, Zhe-Ming LU, "The Structural Vulnerability Analysis of Power Grids Based on Overall Information Centrality" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 3, pp. 769-772, March 2016, doi: 10.1587/transinf.2015EDL8226.
Abstract: The power grid defines one of the most important technological networks of our times and has been widely studied as a kind of complex network. It has been developed for more than one century and becomes an extremely huge and seemingly robust system. But it becomes extremely fragile as well because some unexpected minimal failures may lead to sudden and massive blackouts. Many works have been carried out to investigate the structural vulnerability of power grids from the topological point of view based on the complex network theory. This Letter focuses on the structural vulnerability of the power grid under the effect of selective node removal. We propose a new kind of node centrality called overall information centrality (OIC) to guide the node removal attack. We test the effectiveness of our centrality in guiding the node removal based on several IEEE power grids. Simulation results show that, compared with other node centralities such as degree centrality (DC), betweenness centrality (BC) and closeness centrality (CC), our OIC is more effective to guide the node removal and can destroy the power grid in less steps.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015EDL8226/_p
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@ARTICLE{e99-d_3_769,
author={Yi-Jia ZHANG, Zhong-Jian KANG, Xin-Ling GUO, Zhe-Ming LU, },
journal={IEICE TRANSACTIONS on Information},
title={The Structural Vulnerability Analysis of Power Grids Based on Overall Information Centrality},
year={2016},
volume={E99-D},
number={3},
pages={769-772},
abstract={The power grid defines one of the most important technological networks of our times and has been widely studied as a kind of complex network. It has been developed for more than one century and becomes an extremely huge and seemingly robust system. But it becomes extremely fragile as well because some unexpected minimal failures may lead to sudden and massive blackouts. Many works have been carried out to investigate the structural vulnerability of power grids from the topological point of view based on the complex network theory. This Letter focuses on the structural vulnerability of the power grid under the effect of selective node removal. We propose a new kind of node centrality called overall information centrality (OIC) to guide the node removal attack. We test the effectiveness of our centrality in guiding the node removal based on several IEEE power grids. Simulation results show that, compared with other node centralities such as degree centrality (DC), betweenness centrality (BC) and closeness centrality (CC), our OIC is more effective to guide the node removal and can destroy the power grid in less steps.},
keywords={},
doi={10.1587/transinf.2015EDL8226},
ISSN={1745-1361},
month={March},}
Copy
TY - JOUR
TI - The Structural Vulnerability Analysis of Power Grids Based on Overall Information Centrality
T2 - IEICE TRANSACTIONS on Information
SP - 769
EP - 772
AU - Yi-Jia ZHANG
AU - Zhong-Jian KANG
AU - Xin-Ling GUO
AU - Zhe-Ming LU
PY - 2016
DO - 10.1587/transinf.2015EDL8226
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2016
AB - The power grid defines one of the most important technological networks of our times and has been widely studied as a kind of complex network. It has been developed for more than one century and becomes an extremely huge and seemingly robust system. But it becomes extremely fragile as well because some unexpected minimal failures may lead to sudden and massive blackouts. Many works have been carried out to investigate the structural vulnerability of power grids from the topological point of view based on the complex network theory. This Letter focuses on the structural vulnerability of the power grid under the effect of selective node removal. We propose a new kind of node centrality called overall information centrality (OIC) to guide the node removal attack. We test the effectiveness of our centrality in guiding the node removal based on several IEEE power grids. Simulation results show that, compared with other node centralities such as degree centrality (DC), betweenness centrality (BC) and closeness centrality (CC), our OIC is more effective to guide the node removal and can destroy the power grid in less steps.
ER -
English
