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A Method for Assessing Margin and Sensitivity of Electricity Networks With Respect to Repair System Resources

Landegren, Finn LU ; Johansson, Jonas LU and Samuelsson, Olof LU (2016) In IEEE Transactions on Smart Grid 7(6). p.2880-2889
Abstract
Modern society is becoming increasingly dependent on a continuous supply of electricity. In order to maintain the safety and security of society and its citizens, it is therefore necessary that electricity networks are resilient toward disruptions whether caused by natural disasters, sinister attacks, or other. Margin and sensitivity are two crucial aspects of the resilience concept which have so far been subject to little research. Here a simulation-based method is presented that enables quantitative assessment of margin and sensitivity of electricity networks with respect to repair system resources. A simulation model is used that explicitly takes into account the electricity network as well as the repair teams and materiel necessary for... (More)
Modern society is becoming increasingly dependent on a continuous supply of electricity. In order to maintain the safety and security of society and its citizens, it is therefore necessary that electricity networks are resilient toward disruptions whether caused by natural disasters, sinister attacks, or other. Margin and sensitivity are two crucial aspects of the resilience concept which have so far been subject to little research. Here a simulation-based method is presented that enables quantitative assessment of margin and sensitivity of electricity networks with respect to repair system resources. A simulation model is used that explicitly takes into account the electricity network as well as the repair teams and materiel necessary for repairing network components. The method is demonstrated for a municipal power distribution system in Sweden which is subjected to disturbances with a severity up to 12 independent failures (N-12). An overall conclusion from the case study is that the suggested method provides an overview of the margin and sensitivity of the electricity distribution system, with respect to repair system resources. This information can form the basis for decisions concerning what amount of resources is appropriate. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Simulation, Electricity Network, Resilience, Margin, Sensitivity, Restoration, Maintenance, Strain, Mathematical model
in
IEEE Transactions on Smart Grid
volume
7
issue
6
pages
9 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:84992731057
  • wos:000391723600030
ISSN
1949-3061
DOI
10.1109/TSG.2016.2582080
language
English
LU publication?
yes
id
ae3ab42e-6013-4960-aab8-be039af3aac4
date added to LUP
2016-10-20 11:37:33
date last changed
2017-09-18 11:32:06
@article{ae3ab42e-6013-4960-aab8-be039af3aac4,
  abstract     = {Modern society is becoming increasingly dependent on a continuous supply of electricity. In order to maintain the safety and security of society and its citizens, it is therefore necessary that electricity networks are resilient toward disruptions whether caused by natural disasters, sinister attacks, or other. Margin and sensitivity are two crucial aspects of the resilience concept which have so far been subject to little research. Here a simulation-based method is presented that enables quantitative assessment of margin and sensitivity of electricity networks with respect to repair system resources. A simulation model is used that explicitly takes into account the electricity network as well as the repair teams and materiel necessary for repairing network components. The method is demonstrated for a municipal power distribution system in Sweden which is subjected to disturbances with a severity up to 12 independent failures (N-12). An overall conclusion from the case study is that the suggested method provides an overview of the margin and sensitivity of the electricity distribution system, with respect to repair system resources. This information can form the basis for decisions concerning what amount of resources is appropriate.},
  author       = {Landegren, Finn and Johansson, Jonas and Samuelsson, Olof},
  issn         = {1949-3061},
  keyword      = {Simulation,Electricity Network,Resilience,Margin,Sensitivity,Restoration,Maintenance,Strain,Mathematical model},
  language     = {eng},
  number       = {6},
  pages        = {2880--2889},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Smart Grid},
  title        = {A Method for Assessing Margin and Sensitivity of Electricity Networks With Respect to Repair System Resources},
  url          = {http://dx.doi.org/10.1109/TSG.2016.2582080},
  volume       = {7},
  year         = {2016},
}