IEICE TRANSACTIONS on Information
An Evolving Network Model for Power Grids Based on Geometrical Location Clusters
Summary :
Considering that the traditional local-world evolving network model cannot fully reflect the characteristics of real-world power grids, this Letter proposes a new evolving model based on geographical location clusters. The proposed model takes into account the geographical locations and degree values of nodes, and the growth process is in line with the characteristics of the power grid. Compared with the characteristics of real-world power grids, the results show that the proposed model can simulate the degree distribution of China's power grids when the number of nodes is small. When the number of nodes exceeds 800, our model can simulate the USA western power grid's degree distribution. And the average distances and clustering coefficients of the proposed model are close to that of the real world power grids. All these properties confirm the validity and rationality of our model.
- Publication
- IEICE TRANSACTIONS on Information Vol.E101-D No.2 pp.539-542
- Publication Date
- 2018/02/01
- Publicized
- 2017/11/17
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2017EDL8177
- Type of Manuscript
- LETTER
- Category
- Fundamentals of Information Systems
Authors
Yun-Feng XING
Shenzhen Institute of Information Technology
Xiao CHEN
Zhejiang University
Ming-Xiang GUAN
Shenzhen Institute of Information Technology
Zhe-Ming LU
Zhejiang University
Keyword
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Yun-Feng XING, Xiao CHEN, Ming-Xiang GUAN, Zhe-Ming LU, "An Evolving Network Model for Power Grids Based on Geometrical Location Clusters" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 2, pp. 539-542, February 2018, doi: 10.1587/transinf.2017EDL8177.
Abstract: Considering that the traditional local-world evolving network model cannot fully reflect the characteristics of real-world power grids, this Letter proposes a new evolving model based on geographical location clusters. The proposed model takes into account the geographical locations and degree values of nodes, and the growth process is in line with the characteristics of the power grid. Compared with the characteristics of real-world power grids, the results show that the proposed model can simulate the degree distribution of China's power grids when the number of nodes is small. When the number of nodes exceeds 800, our model can simulate the USA western power grid's degree distribution. And the average distances and clustering coefficients of the proposed model are close to that of the real world power grids. All these properties confirm the validity and rationality of our model.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017EDL8177/_p
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@ARTICLE{e101-d_2_539,
author={Yun-Feng XING, Xiao CHEN, Ming-Xiang GUAN, Zhe-Ming LU, },
journal={IEICE TRANSACTIONS on Information},
title={An Evolving Network Model for Power Grids Based on Geometrical Location Clusters},
year={2018},
volume={E101-D},
number={2},
pages={539-542},
abstract={Considering that the traditional local-world evolving network model cannot fully reflect the characteristics of real-world power grids, this Letter proposes a new evolving model based on geographical location clusters. The proposed model takes into account the geographical locations and degree values of nodes, and the growth process is in line with the characteristics of the power grid. Compared with the characteristics of real-world power grids, the results show that the proposed model can simulate the degree distribution of China's power grids when the number of nodes is small. When the number of nodes exceeds 800, our model can simulate the USA western power grid's degree distribution. And the average distances and clustering coefficients of the proposed model are close to that of the real world power grids. All these properties confirm the validity and rationality of our model.},
keywords={},
doi={10.1587/transinf.2017EDL8177},
ISSN={1745-1361},
month={February},}
Copy
TY - JOUR
TI - An Evolving Network Model for Power Grids Based on Geometrical Location Clusters
T2 - IEICE TRANSACTIONS on Information
SP - 539
EP - 542
AU - Yun-Feng XING
AU - Xiao CHEN
AU - Ming-Xiang GUAN
AU - Zhe-Ming LU
PY - 2018
DO - 10.1587/transinf.2017EDL8177
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2018
AB - Considering that the traditional local-world evolving network model cannot fully reflect the characteristics of real-world power grids, this Letter proposes a new evolving model based on geographical location clusters. The proposed model takes into account the geographical locations and degree values of nodes, and the growth process is in line with the characteristics of the power grid. Compared with the characteristics of real-world power grids, the results show that the proposed model can simulate the degree distribution of China's power grids when the number of nodes is small. When the number of nodes exceeds 800, our model can simulate the USA western power grid's degree distribution. And the average distances and clustering coefficients of the proposed model are close to that of the real world power grids. All these properties confirm the validity and rationality of our model.
ER -
English
