Small-signal probabilistic stability of power systems considering the stocastic uncertainty of grid-connected wind farm

Siqi Bu, W. Du, H. F. Wang, Z. Chen, L. Y. Xiao, H. F. Li

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

3 Citations (Scopus)

Abstract

The impact of stochastic uncertainty brought about by the grid-connected wind farm penetration on power system smallsignal stability is investigated in this paper. an analytical method to carry out the probabilistic analysis is proposed. the cumulants and central moments of the system critical eigenvalues are computed on the basis of the normal probabilistic distribution of wind power generation. the gram-charlier expansion is employed to obtain the probabilistic distribution of the eigenvalues. all the conclusions gained by the analytical method proposed have been confirmed by monte carlo simulations in the case study presented in the paper.
Original languageEnglish
Title of host publicationIET Conference on Renewable Power Generation, RPG 2011
Volume2011
Edition579 CP
DOIs
Publication statusPublished - 1 Dec 2011
Externally publishedYes
EventIET Conference on Renewable Power Generation, RPG 2011 - Edinburgh, United Kingdom
Duration: 9 May 20118 Sep 2011

Conference

ConferenceIET Conference on Renewable Power Generation, RPG 2011
CountryUnited Kingdom
CityEdinburgh
Period9/05/118/09/11

Keywords

  • Gram-charlier expansion
  • Monte carlo simulation
  • Power system small-signal stability
  • Probabilistic analysis
  • Wind power generation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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