Title :
On line synchronous generator parameters estimation based on applying small disturbance on excitation system using ANN
Author :
Rahimpour, M. ; Talebi, M.A. ; Shayanfar, H.A. ; Hosseini, M. R Azad
Author_Institution :
Iran Water & Power Resources Dev. Co.
Abstract :
This paper presents a technique for on-line estimation of synchronous generator parameters, using an excitation disturbance. To illustrate and verify the proposed algorithm, some excitation disturbance tests are conducted on an actual hydro generator. Machine response to the applied disturbance is processed by proposed technique using artificial neural network method, (ANN). The estimated parameter values are compared with manufacture´s data.
Keywords :
artificial intelligence; electric machine analysis computing; hydroelectric generators; neural nets; parameter estimation; synchronous generators; artificial neural network method; excitation disturbance tests; excitation system; hydro generator; on line synchronous generator parameters estimation; on-line estimation; Artificial neural networks; Parameter estimation; Power system analysis computing; Power system modeling; Power system stability; Rotors; Synchronous generators; Synchronous machines; Testing; Water resources; Artificial Neural Network; on-line measurements; parameter identification; synchronous machine;
Conference_Titel :
Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-3810-5
Electronic_ISBN :
978-1-4244-3811-2
DOI :
10.1109/PSCE.2009.4840154