DocumentCode :
482236
Title :
Synchronous generator model identification using half-complex wavelet nonlinear ARX network
Author :
Wu, Xusheng ; Fan, Youping
Author_Institution :
Coll. of Electr. & Electron. Eng., Naval Univ. of Eng., Wuhan
fYear :
2008
fDate :
17-20 Oct. 2008
Firstpage :
20
Lastpage :
25
Abstract :
A method for identification of a synchronous generator is suggested in this paper. The method uses the theoretical relations of machine parameters and the new wavelet network structure combining a polynomial model with multi-resolution half-complex wavelet decomposition to find the state space model of the system. The proposed structure takes the advantage of both polynomial models and wavelet networks to model nonlinearities in the system. The proposed identification method is applied to a mathematic model of a 12 phase synchronous generator from experimental data collected on a PSCAD / MATLAB simulating machine. The results show that the identified model has very good accuracy and may be valid for a broad range of operating conditions.
Keywords :
synchronous generators; wavelet transforms; MATLAB; PSCAD; half-complex wavelet nonlinear ARX network; multiresolution half-complex wavelet decomposition; polynomial models; state space model; synchronous generator model identification; Circuit testing; Mathematical model; PSCAD; Polynomials; Power system analysis computing; Power system modeling; Power system simulation; Power system stability; Synchronous generators; Synchronous machines; Identification; Nonlinear systems; Power systems; Synchronous machines; Wavelet networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3826-6
Electronic_ISBN :
978-7-5062-9221-4
Type :
conf
Filename :
4770640
Link To Document :
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