Conference paper
Unweighted Betweenness Centrality for Critical Fault Detection for Cascading Outage Assessment
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.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2016 |
| Pages: | 1-6 |
| Proceedings: | 2016 IEEE International Energy Conference |
| ISBN: | 1467384631 , 146738464X , 146738464x , 9781467384636 and 9781467384643 |
| Types: | Conference paper |
| DOI: | 10.1109/ENERGYCON.2016.7513973 |
| ORCIDs: | Jóhannsson, Hjörtur and Nielsen, Arne Hejde |
Algorithm design and analysis Complexity theory Fault detection IEEE test systems Impedance MATLAB Power system stability cascading failure assessment cascading outage assessment computation speed improvement critical fault detection failure analysis fault diagnosis graph modifications graph theory power system faults power system reliability unweighted analysis improvement unweighted betweenness centrality
