Effects of the weighting matrix on power system state estimation

W. Hubbi, Y. Wang

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The effects of the weighting matrices used in the weighted least squares (WLS) method when applied to the problem of power system state estimation (PSSE) are studied. In particular, the effects of two weighting matrices are examined: the first is the inverse of the covariance matrix of the measurement errors and the second is the one used in the utility PSSE programs. Other weighting matrices are also tested. Different performance indices for state comparison are defined. The results obtained by performing many Monte Carlo trials using these weighting matrices are compared. Results show that the inverse of the covariance matrix gives the best results.

Original languageEnglish (US)
Pages (from-to)35-39
Number of pages5
JournalElectric Power Systems Research
Volume22
Issue number1
DOIs
StatePublished - Sep 1991

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Keywords

  • on-line load flow
  • power system analysis
  • power system state estimation

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