Imperial College London
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Prof David Angeli

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Nonlinear Network Dynamics
 
 
 
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Contact

 

+44 (0)20 7594 6283d.angeli Website

 
 
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Location

 

1107CElectrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Ademovic:2021:10.1109/PESGM46819.2021.9638145,
author = {Ademovic, Tahirovic A and Angeli, D and Strbac, G},
doi = {10.1109/PESGM46819.2021.9638145},
publisher = {IEEE},
title = {A complex network approach to power system vulnerability analysis based on rebalance based flow centrality},
url = {http://dx.doi.org/10.1109/PESGM46819.2021.9638145},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - The  study  of  networks  is  an  extensively  investigated field  of  research,  with  networks and  network  structure often encoding  relationships describing certain  systems  or  processes. Critical infrastructure is  understood as  being a structure whose failure  or  damage  has  considerable  impact  on  safety,  security and wellbeing of society, with power systems considered a classic example.  The  work  presented  in  this  paper  builds  on  the long-lasting foundations  of  network  and  complex  network  theory, proposing an extension in form of rebalance based flow centrality for  structural  vulnerability assessment and  critical component identification   in   adaptive   network   topologies. The   proposed measure  is  applied  to  power  system  vulnerability analysis,  with performance  demonstrated  on  the  IEEE  30-,  57-and  118-bus test  system, out performing relevant  methods  from  the  state-of-the-art. The  proposed  framework is  deterministic  (guaranteed), analytically  obtained  (interpretable)  and  generalizes  well  with changing  network  parameters,  providing  a complementary  tool to power system vulnerability analysis and planning.
AU  - Ademovic,Tahirovic A
AU  - Angeli,D
AU  - Strbac,G
DO  - 10.1109/PESGM46819.2021.9638145
PB  - IEEE
PY  - 2021///
TI  - A complex network approach to power system vulnerability analysis based on rebalance based flow centrality
UR  - http://dx.doi.org/10.1109/PESGM46819.2021.9638145
UR  - http://hdl.handle.net/10044/1/88453
ER  -
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