Dynamic stability screening of electric power systems using artificial neural networks

A. R. Edwards, Ka Wing Chan, R. W. Dunn, A. R. Daniels

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper discusses a method for fast dynamic stability screening of large interconnected power systems. Composite indices, such as the variance of machine rotor angular momentum between the pre and immediate post contingency operating points, are shown to be especially suited as features for dynamic stability classification. This work uses composite indices as inputs to an artificial neural network to form a dynamic stability screen.
Original languageEnglish
Title of host publicationProceedings of the Universities Power Engineering Conference
PublisherUniversity of Greenwich
Pages447-450
Number of pages4
Publication statusPublished - 1 Dec 1995
Externally publishedYes
EventProceedings of the 1995 30th Universities Power Engineering Conference. Part 1 (of 2) - London, United Kingdom
Duration: 5 Sep 19957 Sep 1995

Conference

ConferenceProceedings of the 1995 30th Universities Power Engineering Conference. Part 1 (of 2)
CountryUnited Kingdom
CityLondon
Period5/09/957/09/95

ASJC Scopus subject areas

  • Energy(all)
  • Engineering(all)

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