DocumentCode :
1285813
Title :
Methodology development for estimation of armature circuit and field winding parameters of large utility generators
Author :
Karayaka, H.B. ; Keyhani, A. ; Agrawal, B. ; Selin, D. ; Heydt, G.T.
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Volume :
14
Issue :
4
fYear :
1999
fDate :
12/1/1999 12:00:00 AM
Firstpage :
901
Lastpage :
908
Abstract :
This paper presents a methodology to estimate armature circuit and field winding parameters of large utility generators using the synthetic data obtained by the machine natural abc frame of reference simulation. First, a one-machine infinite bus system including the machine and its excitation system is simulated in 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. Even in case of remarkable noise corruption, the agreement between estimated and actual parameters is quite satisfactory
Keywords :
electric generators; machine theory; machine windings; maximum likelihood estimation; parameter estimation; recursive estimation; armature circuit; estimation performance; field winding; large utility generators; natural abc reference frame; noise corruption; output error estimation technique; parameters identification; recursive maximum likelihood estimation technique; Circuit faults; Circuit noise; Circuit simulation; Machine windings; Maximum likelihood estimation; Noise measurement; Parameter estimation; Rectifiers; Recursive estimation; Synchronous generators;
fLanguage :
English
Journal_Title :
Energy Conversion, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8969
Type :
jour
DOI :
10.1109/60.815006
Filename :
815006
Link To Document :
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