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
fDate :
9/1/1997 12:00:00 AM
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;
Journal_Title :
Energy Conversion, IEEE Transactions on
