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Improvements in classification of power system security

Andersson, Christian LU and Solem, J E (2006) IEEE Power Engineering Society General Meeting, 2006. In IEEE Power Engineering Society General Meeting, 2006 p.6-6
Abstract
In this paper power system security is estimated with a linear support vector machine (SVM). The SVM is used to calculate a hyperplane which separate states of the power system that sustain an (n-1) fault from states that do not. The hyperplane can be used on-line in order to determine if the system is moving into insecure conditions. The proposed method is developed to support operators at control centers and make it easier to make decisions in stressed operating situations. This paper shows that the scaling of variables is important in order to obtain good results. A new method to scale and reduce the number of measured variables is presented. The problem with a data set consisting of both continuous and binary variables is also... (More)
In this paper power system security is estimated with a linear support vector machine (SVM). The SVM is used to calculate a hyperplane which separate states of the power system that sustain an (n-1) fault from states that do not. The hyperplane can be used on-line in order to determine if the system is moving into insecure conditions. The proposed method is developed to support operators at control centers and make it easier to make decisions in stressed operating situations. This paper shows that the scaling of variables is important in order to obtain good results. A new method to scale and reduce the number of measured variables is presented. The problem with a data set consisting of both continuous and binary variables is also discussed. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
IEEE Power Engineering Society General Meeting, 2006
pages
6 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE Power Engineering Society General Meeting, 2006.
external identifiers
  • Scopus:35348925381
ISBN
1-4244-0493-2
DOI
10.1109/PES.2006.1709330
language
English
LU publication?
yes
id
b86e35ed-f3f1-4174-a565-67894efa4557 (old id 640710)
date added to LUP
2007-12-04 12:24:52
date last changed
2016-10-13 04:42:16
@misc{b86e35ed-f3f1-4174-a565-67894efa4557,
  abstract     = {In this paper power system security is estimated with a linear support vector machine (SVM). The SVM is used to calculate a hyperplane which separate states of the power system that sustain an (n-1) fault from states that do not. The hyperplane can be used on-line in order to determine if the system is moving into insecure conditions. The proposed method is developed to support operators at control centers and make it easier to make decisions in stressed operating situations. This paper shows that the scaling of variables is important in order to obtain good results. A new method to scale and reduce the number of measured variables is presented. The problem with a data set consisting of both continuous and binary variables is also discussed.},
  author       = {Andersson, Christian and Solem, J E},
  isbn         = {1-4244-0493-2},
  language     = {eng},
  pages        = {6--6},
  publisher    = {ARRAY(0x93821c0)},
  series       = {IEEE Power Engineering Society General Meeting, 2006},
  title        = {Improvements in classification of power system security},
  url          = {http://dx.doi.org/10.1109/PES.2006.1709330},
  year         = {2006},
}