A novel approach for the identification of influential node in an electric power grid

Isaiah G. Adebayo; Yanxia Sun

doi:10.1109/ICIEA.2019.8834042

A novel approach for the identification of influential node in an electric power grid

Isaiah G. Adebayo, Yanxia Sun

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

4 Citations (Scopus)

Abstract

The continuous occurrence of blackouts due to cascading failures and voltage instability which has the effect of damaging several components within the grid has of recent been traced to sudden disconnection of influential node in a power network. How to identify this node has become a crucial issue to power system utilities. In this paper, an approach which is based on the network topological properties of an electric power system is investigated for the identification of influential node in a power network. First, we established a matrix which capture information between an electrical interconnection that exist between load to load nodes in a power network. Next, the suggested network structurally based eigenvector centrality measure (NSECM) is formulated based on the established matrix. A comparison analysis with a conventional eigenvector centrality measure is also performed to determine the significance of the proposed method. The effectiveness of all the approaches presented is tested on both practical 26-bus and the IEEE 14-bus power systems. Results obtained show that identification of influential node in a power network is better done using the NSECM method as it reduces the computational burden.

Original language	English
Title of host publication	Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	718-723
Number of pages	6
ISBN (Electronic)	9781538694909
DOIs	https://doi.org/10.1109/ICIEA.2019.8834042
Publication status	Published - Jun 2019
Externally published	Yes
Event	14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019 - Xi'an, China Duration: 19 Jun 2019 → 21 Jun 2019

Publication series

Name	Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

Conference

Conference	14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
Country/Territory	China
City	Xi'an
Period	19/06/19 → 21/06/19

Keywords

Centrality measure
Eigenvector centrality
Influential node
Network topology
Power network

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Industrial and Manufacturing Engineering
Control and Optimization
Instrumentation

Access to Document

10.1109/ICIEA.2019.8834042

Cite this

Adebayo, I. G., & Sun, Y. (2019). A novel approach for the identification of influential node in an electric power grid. In Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019 (pp. 718-723). Article 8834042 (Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA.2019.8834042

Adebayo, Isaiah G. ; Sun, Yanxia. / A novel approach for the identification of influential node in an electric power grid. Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 718-723 (Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019).

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title = "A novel approach for the identification of influential node in an electric power grid",

abstract = "The continuous occurrence of blackouts due to cascading failures and voltage instability which has the effect of damaging several components within the grid has of recent been traced to sudden disconnection of influential node in a power network. How to identify this node has become a crucial issue to power system utilities. In this paper, an approach which is based on the network topological properties of an electric power system is investigated for the identification of influential node in a power network. First, we established a matrix which capture information between an electrical interconnection that exist between load to load nodes in a power network. Next, the suggested network structurally based eigenvector centrality measure (NSECM) is formulated based on the established matrix. A comparison analysis with a conventional eigenvector centrality measure is also performed to determine the significance of the proposed method. The effectiveness of all the approaches presented is tested on both practical 26-bus and the IEEE 14-bus power systems. Results obtained show that identification of influential node in a power network is better done using the NSECM method as it reduces the computational burden.",

keywords = "Centrality measure, Eigenvector centrality, Influential node, Network topology, Power network",

author = "Adebayo, {Isaiah G.} and Yanxia Sun",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019 ; Conference date: 19-06-2019 Through 21-06-2019",

year = "2019",

month = jun,

doi = "10.1109/ICIEA.2019.8834042",

language = "English",

series = "Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019",

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Adebayo, IG & Sun, Y 2019, A novel approach for the identification of influential node in an electric power grid. in Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019., 8834042, Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019, Institute of Electrical and Electronics Engineers Inc., pp. 718-723, 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019, Xi'an, China, 19/06/19. https://doi.org/10.1109/ICIEA.2019.8834042

A novel approach for the identification of influential node in an electric power grid. / Adebayo, Isaiah G.; Sun, Yanxia.
Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 718-723 8834042 (Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019).

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

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AU - Sun, Yanxia

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N2 - The continuous occurrence of blackouts due to cascading failures and voltage instability which has the effect of damaging several components within the grid has of recent been traced to sudden disconnection of influential node in a power network. How to identify this node has become a crucial issue to power system utilities. In this paper, an approach which is based on the network topological properties of an electric power system is investigated for the identification of influential node in a power network. First, we established a matrix which capture information between an electrical interconnection that exist between load to load nodes in a power network. Next, the suggested network structurally based eigenvector centrality measure (NSECM) is formulated based on the established matrix. A comparison analysis with a conventional eigenvector centrality measure is also performed to determine the significance of the proposed method. The effectiveness of all the approaches presented is tested on both practical 26-bus and the IEEE 14-bus power systems. Results obtained show that identification of influential node in a power network is better done using the NSECM method as it reduces the computational burden.

AB - The continuous occurrence of blackouts due to cascading failures and voltage instability which has the effect of damaging several components within the grid has of recent been traced to sudden disconnection of influential node in a power network. How to identify this node has become a crucial issue to power system utilities. In this paper, an approach which is based on the network topological properties of an electric power system is investigated for the identification of influential node in a power network. First, we established a matrix which capture information between an electrical interconnection that exist between load to load nodes in a power network. Next, the suggested network structurally based eigenvector centrality measure (NSECM) is formulated based on the established matrix. A comparison analysis with a conventional eigenvector centrality measure is also performed to determine the significance of the proposed method. The effectiveness of all the approaches presented is tested on both practical 26-bus and the IEEE 14-bus power systems. Results obtained show that identification of influential node in a power network is better done using the NSECM method as it reduces the computational burden.

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Adebayo IG, Sun Y. A novel approach for the identification of influential node in an electric power grid. In Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 718-723. 8834042. (Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019). doi: 10.1109/ICIEA.2019.8834042

A novel approach for the identification of influential node in an electric power grid

Abstract

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Keywords

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