Referenced Items are not available for this document.
The performance of the maximum likelihood (ML) method when used to determine simulation data for generators from standstill frequency response (SSFR) tests is evaluated. The robustness of the ML method is demonstrated by analyses made with SSFR data from tests on the Rockport 722 MVA generator. It is shown that a unique set of parameters can be obtained, and the noise effects can be dealt with effectively when the ML technique is used to estimate machine parameters
Published in:
Energy Conversion, IEEE Transactions on
(Volume:6
,
Issue:
1
)
Date of Publication: Mar 1991
- Page(s):
- 140 - 154
- ISSN :
- 0885-8969
- INSPEC Accession Number:
- 3893354
- Digital Object Identifier :
- 10.1109/60.73801
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Mar 1991
- Sponsored by :
- IEEE Power & Energy Society
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