Identification of armature circuit and field winding parameters of large utility generators

H. B. Karayaka, A. Keyhani, B. Agrawal, D. Selin, G. T. Heydt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

This paper presents a methodology to estimate armature circuit and field winding parameters of large utility generators using both the synthetic data obtained by the machine natural abc frame of reference simulation and real time operating data of an utility generator. A one-machine infinite bus system including the machine and its excitation system is simulated in the abc frame of reference by using parameters provided by the machine manufacturer. A proper data set required for estimation is collected by perturbing the field side of the machine in small amounts. The recursive maximum likelihood (RML) estimation technique is employed for the identification of armature circuit parameters. Subsequently, based on the estimates of armature circuit parameters, the field winding and some damper parameters are estimated using an Output Error Estimation (OEM) technique. For each estimation case, the estimation performance is also validated with noise corrupted measurements. Finally, the developed methodology above is used to identify an actual utility generator parameters from on-line operating data.

Original languageEnglish (US)
Title of host publicationIEEE Engineering Society, Winter Meeting
Editors Anon
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages29-34
Number of pages6
Volume1
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 Winter Meeting of IEEE Power Engineering Society. Part 1 (of 2) - New York, NY, USA
Duration: Jan 31 1999Feb 4 1999

Other

OtherProceedings of the 1999 Winter Meeting of IEEE Power Engineering Society. Part 1 (of 2)
CityNew York, NY, USA
Period1/31/992/4/99

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint

Dive into the research topics of 'Identification of armature circuit and field winding parameters of large utility generators'. Together they form a unique fingerprint.

Cite this