Unweighted Betweenness Centrality for Critical Fault Detection for Cascading Outage Assessment

Pauli Fríðheim Petersen; Hjörtur Jóhannsson; Arne Hejde Nielsen

doi:10.1109/ENERGYCON.2016.7513973

Unweighted Betweenness Centrality for Critical Fault Detection for Cascading Outage Assessment

Pauli Fríðheim Petersen, Hjörtur Jóhannsson, Arne Hejde Nielsen

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

Abstract

This paper analyses the possible use of unweighted betweenness centrality instead of weighted betweenness centrality, for critical fault detection for assessment of cascading failures. As unweighted betweenness centrality is significantly faster to compute, the possible use of this will significantly improve the computation speed. The method is tested on four IEEE test systems, and the study finds that the unweighted analysis is not a good substitute if the method is only used naively, but it is possible to make graph modifications, and improve the unweighted analysis.

Original language	English
Title of host publication	Proceedings of 2016 IEEE International Energy Conference
Number of pages	6
Publisher	IEEE
Publication date	2016
DOIs	https://doi.org/10.1109/ENERGYCON.2016.7513973
Publication status	Published - 2016
Event	2016 IEEE International Energy Conference - KU Leuven , Leuven , Belgium Duration: 4 Apr 2016 → 8 Apr 2016 https://ieeexplore.ieee.org/xpl/conhome/7507294/proceeding

Conference

Conference	2016 IEEE International Energy Conference
Location	KU Leuven
Country/Territory	Belgium
City	Leuven
Period	04/04/2016 → 08/04/2016
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7507294/proceeding

Keywords

Betweenness Centrality
Cascading Outages
Power System
Real-Time Assessment

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10.1109/ENERGYCON.2016.7513973

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@inproceedings{9d1b6d8bc23543d995820630910a3c61,

title = "Unweighted Betweenness Centrality for Critical Fault Detection for Cascading Outage Assessment",

abstract = "This paper analyses the possible use of unweighted betweenness centrality instead of weighted betweenness centrality, for critical fault detection for assessment of cascading failures. As unweighted betweenness centrality is significantly faster to compute, the possible use of this will significantly improve the computation speed. The method is tested on four IEEE test systems, and the study finds that the unweighted analysis is not a good substitute if the method is only used naively, but it is possible to make graph modifications, and improve the unweighted analysis.",

keywords = "Betweenness Centrality, Cascading Outages, Power System, Real-Time Assessment",

author = "Petersen, {Pauli Fr{\'i}{\dh}heim} and Hj{\"o}rtur J{\'o}hannsson and Nielsen, {Arne Hejde}",

year = "2016",

doi = "10.1109/ENERGYCON.2016.7513973",

language = "English",

booktitle = "Proceedings of 2016 IEEE International Energy Conference",

publisher = "IEEE",

address = "United States",

note = "2016 IEEE International Energy Conference, ENERGYCON 2016 ; Conference date: 04-04-2016 Through 08-04-2016",

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AU - Jóhannsson, Hjörtur

AU - Nielsen, Arne Hejde

PY - 2016

Y1 - 2016

N2 - This paper analyses the possible use of unweighted betweenness centrality instead of weighted betweenness centrality, for critical fault detection for assessment of cascading failures. As unweighted betweenness centrality is significantly faster to compute, the possible use of this will significantly improve the computation speed. The method is tested on four IEEE test systems, and the study finds that the unweighted analysis is not a good substitute if the method is only used naively, but it is possible to make graph modifications, and improve the unweighted analysis.

AB - This paper analyses the possible use of unweighted betweenness centrality instead of weighted betweenness centrality, for critical fault detection for assessment of cascading failures. As unweighted betweenness centrality is significantly faster to compute, the possible use of this will significantly improve the computation speed. The method is tested on four IEEE test systems, and the study finds that the unweighted analysis is not a good substitute if the method is only used naively, but it is possible to make graph modifications, and improve the unweighted analysis.

KW - Betweenness Centrality

KW - Cascading Outages

KW - Power System

KW - Real-Time Assessment

U2 - 10.1109/ENERGYCON.2016.7513973

DO - 10.1109/ENERGYCON.2016.7513973

M3 - Article in proceedings

BT - Proceedings of 2016 IEEE International Energy Conference

PB - IEEE

T2 - 2016 IEEE International Energy Conference

Y2 - 4 April 2016 through 8 April 2016

ER -

Unweighted Betweenness Centrality for Critical Fault Detection for Cascading Outage Assessment

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