Improved probabilistic method for power system dynamic stability studies

K. W. Wang, C. Y. Chung, C. T. Tse, K. M. Tsang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

66 Citations (Scopus)

Abstract

An improved probabilistic method using moments and cumulants of random variables for power system dynamic stability studies is presented. The uncertainties considered are system multi-operating conditions derived from operating curves of load powers and generations. The generator state and nodal voltages are solved from a stochastic load flow calculation. By means of the first and second order eigenvalue sensitivity representation, moments and cumulants of eigenvalues are determined from the statistical characteristics of nodal voltages and nodal injections. Probabilistic densities and conditional probabilities of critical eigenvalues are calculated from the Gram-Charlier series. In this method, random variables can have an arbitrary distribution. Dependencies among random variables and the interaction between expectation and covariance are all considered. Examination on two test systems shows that the proposed method can relieve/improve the conflict between computing requirement and precision.

Original languageEnglish
Pages (from-to)37-42
Number of pages6
JournalIEE Proceedings: Generation, Transmission and Distribution
Volume147
Issue number1
DOIs
Publication statusPublished - Jan 2000

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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