Improvements in classification of power system security

Christian Andersson, J E Solem

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingResearchpeer-review

3 Citations (SciVal)

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.
Original languageEnglish
Title of host publicationIEEE Power Engineering Society General Meeting, 2006
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages6 pp.
Number of pages6
ISBN (Print)1-4244-0493-2
DOIs
Publication statusPublished - 2006
EventIEEE Power Engineering Society General Meeting, 2006. - Montreal, Canada
Duration: 2006 Jun 182006 Jun 22

Conference

ConferenceIEEE Power Engineering Society General Meeting, 2006.
Country/TerritoryCanada
CityMontreal
Period2006/06/182006/06/22

Subject classification (UKÄ)

  • Other Electrical Engineering, Electronic Engineering, Information Engineering

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