Evaluation of buses in power grids by extended entropic degree

Chunchao Wu; Xiaoliang Wang; Fei Xue; Xiaotong Xu; Shaofeng Lu; Yujia Zhai; Lin Jiang

doi:10.23919/ChiCC.2018.8482984

Evaluation of buses in power grids by extended entropic degree

Chunchao Wu
, Xiaoliang Wang
, Fei Xue
, Xiaotong Xu
, Shaofeng Lu
, Yujia Zhai
, Lin Jiang

SDIC Baiyin Wind Power Co. LTD
Xi'an Jiaotong-Liverpool University
University of Liverpool

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

2 Citations (Scopus)

Abstract

Complex network theory has been considered valuable in analyzing the security of networked infrastructures including power grids. However, the traditional pure topological assessment metrics ignore many characteristics in electrical engineering. The most popular metrics for evaluation of nodes or buses in power grids are degree and betweenness. By integration of specific knowledge of electrical engineering, these metrics have been updated to entropic degree and e-betwenness in former studies. However, with consideration of local and global structural features, these two all have defects respectively. This paper made integration of entropic degree and e-betweenness to develop a new concept as extended entropic degree by considering the e-betweenness of line as the weight in entropic degree. The new extended entropic degree can reflect both local and global structural features in evaluation of buses in power grids. This extended entropy degree was tested to verify the effectiveness in IEEE-30, IEEE-118, IEEE-300 and a United Kingdom distribution power grids. The results indicated that this new metric is more reasonable and effective in discovering structural features of buses in power grids.

Original language	English
Title of host publication	Proceedings of the 37th Chinese Control Conference, CCC 2018
Editors	Xin Chen, Qianchuan Zhao
Publisher	IEEE Computer Society
Pages	1092-1097
Number of pages	6
ISBN (Electronic)	9789881563941
DOIs	https://doi.org/10.23919/ChiCC.2018.8482984
Publication status	Published - 5 Oct 2018
Event	37th Chinese Control Conference, CCC 2018 - Wuhan, China Duration: 25 Jul 2018 → 27 Jul 2018

Publication series

Name	Chinese Control Conference, CCC
Volume	2018-July
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	37th Chinese Control Conference, CCC 2018
Country/Territory	China
City	Wuhan
Period	25/07/18 → 27/07/18

Keywords

Complex networks
Degree
Entropic degree
Line Betweenness
Power grid
Power system security

Access to Document

10.23919/ChiCC.2018.8482984

Cite this

Wu, C., Wang, X., Xue, F., Xu, X., Lu, S., Zhai, Y., & Jiang, L. (2018). Evaluation of buses in power grids by extended entropic degree. In X. Chen, & Q. Zhao (Eds.), Proceedings of the 37th Chinese Control Conference, CCC 2018 (pp. 1092-1097). Article 8482984 (Chinese Control Conference, CCC; Vol. 2018-July). IEEE Computer Society. https://doi.org/10.23919/ChiCC.2018.8482984

@inproceedings{a156b79e42ee4d76aed00e4d27db047d,

title = "Evaluation of buses in power grids by extended entropic degree",

abstract = "Complex network theory has been considered valuable in analyzing the security of networked infrastructures including power grids. However, the traditional pure topological assessment metrics ignore many characteristics in electrical engineering. The most popular metrics for evaluation of nodes or buses in power grids are degree and betweenness. By integration of specific knowledge of electrical engineering, these metrics have been updated to entropic degree and e-betwenness in former studies. However, with consideration of local and global structural features, these two all have defects respectively. This paper made integration of entropic degree and e-betweenness to develop a new concept as extended entropic degree by considering the e-betweenness of line as the weight in entropic degree. The new extended entropic degree can reflect both local and global structural features in evaluation of buses in power grids. This extended entropy degree was tested to verify the effectiveness in IEEE-30, IEEE-118, IEEE-300 and a United Kingdom distribution power grids. The results indicated that this new metric is more reasonable and effective in discovering structural features of buses in power grids.",

keywords = "Complex networks, Degree, Entropic degree, Line Betweenness, Power grid, Power system security",

author = "Chunchao Wu and Xiaoliang Wang and Fei Xue and Xiaotong Xu and Shaofeng Lu and Yujia Zhai and Lin Jiang",

note = "Publisher Copyright: {\textcopyright} 2018 Technical Committee on Control Theory, Chinese Association of Automation.; 37th Chinese Control Conference, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",

year = "2018",

month = oct,

day = "5",

doi = "10.23919/ChiCC.2018.8482984",

language = "English",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

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}

Wu, C, Wang, X, Xue, F, Xu, X, Lu, S, Zhai, Y & Jiang, L 2018, Evaluation of buses in power grids by extended entropic degree. in X Chen & Q Zhao (eds), Proceedings of the 37th Chinese Control Conference, CCC 2018., 8482984, Chinese Control Conference, CCC, vol. 2018-July, IEEE Computer Society, pp. 1092-1097, 37th Chinese Control Conference, CCC 2018, Wuhan, China, 25/07/18. https://doi.org/10.23919/ChiCC.2018.8482984

Evaluation of buses in power grids by extended entropic degree. / Wu, Chunchao; Wang, Xiaoliang; Xue, Fei et al.
Proceedings of the 37th Chinese Control Conference, CCC 2018. ed. / Xin Chen; Qianchuan Zhao. IEEE Computer Society, 2018. p. 1092-1097 8482984 (Chinese Control Conference, CCC; Vol. 2018-July).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Evaluation of buses in power grids by extended entropic degree

AU - Wu, Chunchao

AU - Wang, Xiaoliang

AU - Xue, Fei

AU - Xu, Xiaotong

AU - Lu, Shaofeng

AU - Zhai, Yujia

AU - Jiang, Lin

PY - 2018/10/5

Y1 - 2018/10/5

N2 - Complex network theory has been considered valuable in analyzing the security of networked infrastructures including power grids. However, the traditional pure topological assessment metrics ignore many characteristics in electrical engineering. The most popular metrics for evaluation of nodes or buses in power grids are degree and betweenness. By integration of specific knowledge of electrical engineering, these metrics have been updated to entropic degree and e-betwenness in former studies. However, with consideration of local and global structural features, these two all have defects respectively. This paper made integration of entropic degree and e-betweenness to develop a new concept as extended entropic degree by considering the e-betweenness of line as the weight in entropic degree. The new extended entropic degree can reflect both local and global structural features in evaluation of buses in power grids. This extended entropy degree was tested to verify the effectiveness in IEEE-30, IEEE-118, IEEE-300 and a United Kingdom distribution power grids. The results indicated that this new metric is more reasonable and effective in discovering structural features of buses in power grids.

AB - Complex network theory has been considered valuable in analyzing the security of networked infrastructures including power grids. However, the traditional pure topological assessment metrics ignore many characteristics in electrical engineering. The most popular metrics for evaluation of nodes or buses in power grids are degree and betweenness. By integration of specific knowledge of electrical engineering, these metrics have been updated to entropic degree and e-betwenness in former studies. However, with consideration of local and global structural features, these two all have defects respectively. This paper made integration of entropic degree and e-betweenness to develop a new concept as extended entropic degree by considering the e-betweenness of line as the weight in entropic degree. The new extended entropic degree can reflect both local and global structural features in evaluation of buses in power grids. This extended entropy degree was tested to verify the effectiveness in IEEE-30, IEEE-118, IEEE-300 and a United Kingdom distribution power grids. The results indicated that this new metric is more reasonable and effective in discovering structural features of buses in power grids.

KW - Complex networks

KW - Degree

KW - Entropic degree

KW - Line Betweenness

KW - Power grid

KW - Power system security

UR - https://www.scopus.com/pages/publications/85056101720

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SP - 1092

EP - 1097

BT - Proceedings of the 37th Chinese Control Conference, CCC 2018

A2 - Chen, Xin

A2 - Zhao, Qianchuan

PB - IEEE Computer Society

T2 - 37th Chinese Control Conference, CCC 2018

Y2 - 25 July 2018 through 27 July 2018

ER -

Evaluation of buses in power grids by extended entropic degree

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Keywords

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