STOCHASTIC ANALYSIS OF POWER SYSTEM DYNAMIC STABILITY.

G. T. Heydt, R. C. Burchett

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

Consideration of the operating point stability of electric power systems in which several parameters are stochastic in nature. The method used employs state variable modeling of the power system (each generator-exciter system is represented by a 13th order model) and eigenvalue sensitivities are used to obtain the multivariate probability density of system pole locations. Thus, the probability of stability becomes available by integration of this probability density over appropriate limits. Several specific problem areas are also discussed with regard to the multivariate normal statistics of the uncertain parameters, linearization of the eigenvalue-system parameter relationship and accelerated solution methods. Suggestions in each of these areas are given.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
Place of PublicationNew York, NY
PublisherIEEE
Pages755-761
Number of pages7
Volume2
StatePublished - 1977
Externally publishedYes
EventProc of the Jt Autom Control Conf - San Francisco, CA, USA
Duration: Jun 22 1977Jun 24 1977

Other

OtherProc of the Jt Autom Control Conf
CitySan Francisco, CA, USA
Period6/22/776/24/77

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Heydt, G. T., & Burchett, R. C. (1977). STOCHASTIC ANALYSIS OF POWER SYSTEM DYNAMIC STABILITY. In Unknown Host Publication Title (Vol. 2, pp. 755-761). IEEE.