DocumentCode
1282283
Title
On-line estimation of variable parameters of synchronous machines using a novel adaptive algorithm. Estimation and experimental verification
Author
Xu, Longya ; Zhao, Zhengming ; Jiang, Jianguo
Author_Institution
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Volume
12
Issue
3
fYear
1997
fDate
9/1/1997 12:00:00 AM
Firstpage
200
Lastpage
210
Abstract
The online estimation of the variable parameters of synchronous machines based on a novel adaptive algorithm is presented. The estimation process involves instantaneous parameter tracking and subsequent data processing. The variable parameters are ultimately expressed as nonlinear functions of operating conditions. The online estimation process is applied to a 100 MVA turbogenerator
Keywords
machine testing; machine theory; parameter estimation; synchronous generators; turbogenerators; 100 MVA; adaptive algorithm; data processing; experimental verification; instantaneous parameter tracking; nonlinear functions; online estimation process; operating conditions; synchronous machines; turbogenerator; variable parameters estimation; Adaptive algorithm; Circuits; Equations; Parameter estimation; Power system simulation; Samarium; State estimation; Synchronous machines; Turbogenerators; Voltage;
fLanguage
English
Journal_Title
Energy Conversion, IEEE Transactions on
Publisher
ieee
ISSN
0885-8969
Type
jour
DOI
10.1109/60.629704
Filename
629704
Link To Document