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Approximating a Post-Contingency Stable Operation Region in Parameter Space through Time-Domain Simulation

Perninge, Magnus LU ; Lavenius, Jan and Vanfretti, Luigi (2013) Bulk Power Systems Dynamics and Control Symposium IX (IREP 2013)
Abstract
Operating criteria for power systems, such as theN−1-criterion, are often based on evaluating whether the system is vulnerable to a specific set of contingencies. Therefore, a major part of power system security is concerned with establishing regions in parameter space where the system is vulnerable to specific contingencies. In this article we exploit the possibility of using Monte Carlo simulations to build an approximation of the region, in parameter space, where the power system will remain stable post a contingency.
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author
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organization
publishing date
type
Contribution to conference
publication status
published
subject
conference name
Bulk Power Systems Dynamics and Control Symposium IX (IREP 2013)
conference location
Rethymnon, Greece
conference dates
2013-08-25 - 2013-08-30
external identifiers
  • scopus:84890506546
language
English
LU publication?
yes
id
e31ab875-3ab4-4627-8769-1921688d672f (old id 4076471)
date added to LUP
2016-04-04 13:09:07
date last changed
2022-01-29 23:51:56
@misc{e31ab875-3ab4-4627-8769-1921688d672f,
  abstract     = {{Operating criteria for power systems, such as theN−1-criterion, are often based on evaluating whether the system is vulnerable to a specific set of contingencies. Therefore, a major part of power system security is concerned with establishing regions in parameter space where the system is vulnerable to specific contingencies. In this article we exploit the possibility of using Monte Carlo simulations to build an approximation of the region, in parameter space, where the power system will remain stable post a contingency.}},
  author       = {{Perninge, Magnus and Lavenius, Jan and Vanfretti, Luigi}},
  language     = {{eng}},
  title        = {{Approximating a Post-Contingency Stable Operation Region in Parameter Space through Time-Domain Simulation}},
  year         = {{2013}},
}