Referenced Items are not available for this document.
The author presents a bad-data identification procedure for linear programming (LP) power system static state estimation. LP state estimators minimize the weighted sum of the absolute values of the measurement residuals. The proposed procedure first detects the bad data using the measurement residuals of those measurements rejected by the LP estimator. Then the bad measurement is identified and eliminated by estimating the measurement errors of the zero residual measurements. The residuals obtained from this second estimation step are made use of for this purpose. In order to minimize the computational burden during the elimination cycles, a fast way of eliminating measurements through weight changing is also presented. The performance of the proposed procedure is tested and the results are presented, using AEP's 14, 30, 57 and 118
Published in:
Power Systems, IEEE Transactions on
(Volume:5
,
Issue:
3
)
Date of Publication: Aug 1990
- Page(s):
- 894 - 901
- ISSN :
- 0885-8950
- INSPEC Accession Number:
- 3770669
- Digital Object Identifier :
- 10.1109/59.65919
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Aug 1990
- Sponsored by :
- IEEE Power & Energy Society
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