PSS Design by Probabilistic Sensitivity Indices

C. Y. Chung, C. T. Tse, R. Niu, K. W. Wang

Research output: Journal article publicationReview articleAcademic researchpeer-review

Abstract

A probabilistic power system stabilizer (PSS) design considering multi-operating conditions is proposed in this paper. Under the assumption of normal distribution, the conventional eigenvalue sensitivity analysis is extended to probabilistic environment by describing the statistical nature of elgenvalues as expectations and variances. Two probabilistic indices derived from the sensitivities of elgenvalue expectations and variances are introduced to the PSS site and parameter selection. The robustness of the system can be guaranteed because a wide range of the load variation has been taken into account in probabilistic representation. The effectiveness of the proposed PSS is demonstrated on a three-machine system by probabilistic eigenvalue analysis and transient response simulation.

Original languageEnglish
Pages (from-to)56
Number of pages1
JournalIEEE Power Engineering Review
Volume22
Issue number7
DOIs
Publication statusPublished - Jul 2002

Keywords

  • eigenvalue
  • Eigenvalues and eigenfunctions
  • Parameter estimation
  • Power system analysis computing
  • Power system modeling
  • Power system simulation
  • Power system stability
  • Power system stabilizer
  • Power system transients
  • probability
  • residue index
  • Robustness
  • sensitivity
  • Synchronous generators
  • Transient analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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