Improvements in classification of power system security

Christian Andersson, J E Solem

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

3 Citeringar (SciVal)


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.
Titel på gästpublikationIEEE Power Engineering Society General Meeting, 2006
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor6 pp.
Antal sidor6
ISBN (tryckt)1-4244-0493-2
StatusPublished - 2006
EvenemangIEEE Power Engineering Society General Meeting, 2006. - Montreal, Kanada
Varaktighet: 2006 jun 182006 jun 22


KonferensIEEE Power Engineering Society General Meeting, 2006.

Ämnesklassifikation (UKÄ)

  • Annan elektroteknik och elektronik


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