IEICE TRANSACTIONS on Information
The Controllability of Power Grids in Comparison with Classical Complex Network Models
Summary :
The controllability of complex networks has attracted increasing attention within various scientific fields. Many power grids are complex networks with some common topological characteristics such as small-world and scale-free features. This Letter investigate the controllability of some real power grids in comparison with classical complex network models with the same number of nodes. Several conclusions are drawn after detailed analyses using several real power grids together with Erdös-Rényi (ER) random networks, Wattz-Strogatz (WS) small-world networks, Barabási-Albert (BA) scale-free networks and configuration model (CM) networks. The main conclusion is that most driver nodes of power grids are hub-free nodes with low nodal degree values of 1 or 2. The controllability of power grids is determined by degree distribution and heterogeneity, and power grids are harder to control than WS networks and CM networks while easier than BA networks. Some power grids are relatively difficult to control because they require a far higher ratio of driver nodes than ER networks, while other power grids are easier to control for they require a driver node ratio less than or equal to ER random networks.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.1 pp.279-282
- Publication Date
- 2016/01/01
- Publicized
- 2015/10/20
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2015EDL8207
- 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-Feng LI
Zhejiang University
Zhe-Ming LU
Zhejiang University
Keyword
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Yi-Jia ZHANG, Zhong-Jian KANG, Xin-Feng LI, Zhe-Ming LU, "The Controllability of Power Grids in Comparison with Classical Complex Network Models" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 1, pp. 279-282, January 2016, doi: 10.1587/transinf.2015EDL8207.
Abstract: The controllability of complex networks has attracted increasing attention within various scientific fields. Many power grids are complex networks with some common topological characteristics such as small-world and scale-free features. This Letter investigate the controllability of some real power grids in comparison with classical complex network models with the same number of nodes. Several conclusions are drawn after detailed analyses using several real power grids together with Erdös-Rényi (ER) random networks, Wattz-Strogatz (WS) small-world networks, Barabási-Albert (BA) scale-free networks and configuration model (CM) networks. The main conclusion is that most driver nodes of power grids are hub-free nodes with low nodal degree values of 1 or 2. The controllability of power grids is determined by degree distribution and heterogeneity, and power grids are harder to control than WS networks and CM networks while easier than BA networks. Some power grids are relatively difficult to control because they require a far higher ratio of driver nodes than ER networks, while other power grids are easier to control for they require a driver node ratio less than or equal to ER random networks.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015EDL8207/_p
Copy
@ARTICLE{e99-d_1_279,
author={Yi-Jia ZHANG, Zhong-Jian KANG, Xin-Feng LI, Zhe-Ming LU, },
journal={IEICE TRANSACTIONS on Information},
title={The Controllability of Power Grids in Comparison with Classical Complex Network Models},
year={2016},
volume={E99-D},
number={1},
pages={279-282},
abstract={The controllability of complex networks has attracted increasing attention within various scientific fields. Many power grids are complex networks with some common topological characteristics such as small-world and scale-free features. This Letter investigate the controllability of some real power grids in comparison with classical complex network models with the same number of nodes. Several conclusions are drawn after detailed analyses using several real power grids together with Erdös-Rényi (ER) random networks, Wattz-Strogatz (WS) small-world networks, Barabási-Albert (BA) scale-free networks and configuration model (CM) networks. The main conclusion is that most driver nodes of power grids are hub-free nodes with low nodal degree values of 1 or 2. The controllability of power grids is determined by degree distribution and heterogeneity, and power grids are harder to control than WS networks and CM networks while easier than BA networks. Some power grids are relatively difficult to control because they require a far higher ratio of driver nodes than ER networks, while other power grids are easier to control for they require a driver node ratio less than or equal to ER random networks.},
keywords={},
doi={10.1587/transinf.2015EDL8207},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - The Controllability of Power Grids in Comparison with Classical Complex Network Models
T2 - IEICE TRANSACTIONS on Information
SP - 279
EP - 282
AU - Yi-Jia ZHANG
AU - Zhong-Jian KANG
AU - Xin-Feng LI
AU - Zhe-Ming LU
PY - 2016
DO - 10.1587/transinf.2015EDL8207
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2016
AB - The controllability of complex networks has attracted increasing attention within various scientific fields. Many power grids are complex networks with some common topological characteristics such as small-world and scale-free features. This Letter investigate the controllability of some real power grids in comparison with classical complex network models with the same number of nodes. Several conclusions are drawn after detailed analyses using several real power grids together with Erdös-Rényi (ER) random networks, Wattz-Strogatz (WS) small-world networks, Barabási-Albert (BA) scale-free networks and configuration model (CM) networks. The main conclusion is that most driver nodes of power grids are hub-free nodes with low nodal degree values of 1 or 2. The controllability of power grids is determined by degree distribution and heterogeneity, and power grids are harder to control than WS networks and CM networks while easier than BA networks. Some power grids are relatively difficult to control because they require a far higher ratio of driver nodes than ER networks, while other power grids are easier to control for they require a driver node ratio less than or equal to ER random networks.
ER -
English
