Identification of synchronous generators using adaptive wavelet networks

• Published in: International journal of electrical power & energy systems Vol. 27; no. 2; pp. 113 - 120
• Main Authors: Karrari, M., Malik, O.P.
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.02.2005; Elsevier
• Subjects: Applied sciences; Disturbances. Regulation. Protection; Electrical engineering. Electrical power engineering; Electrical machines; Electrical power engineering; Exact sciences and technology; Nonlinear identification; Power networks and lines; Synchronous generators; Wavelet networks; Nonlinear identification; Synchronous generators; Wavelet networks; Parameter estimation; Synchronous machine; Power system stability; Experimental device; Stability criterion; Micromachine; Adaptive method; Case study; Experimental result; Algorithm performance; Wavelet transformation; Non linear model; System identification; Mathematical model; Comparative study; Data gathering; Lyapunov function
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2004.08.011

Application of wavelet networks for the identification of a synchronous generator is described in this paper. Parameter adaptation laws are used to track the variations in the parameters, following changes in the generator operating conditions. The adaptation laws have been developed using a Lyapunov function. This guarantees the stability of the identification algorithm and also ensures the convergence of parameters and variables. The proposed method has been tested on a synchronous machine. Experimental results show good accuracy of the identified model and robustness of the algorithm following severe changes in the operating conditions.