Synchronous generator model identification for control application using volterra series

• Published in: IEEE transactions on energy conversion Vol. 20; no. 4; pp. 852 - 858
• Main Authors: Fard, R.D., Karrari, M., Malik, O.P.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2005; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Circuit testing; Computer simulation; Convolution; Convolution integrals; Dynamical systems; Electric potential; Generators; Identification; Kernel; Linear systems; Nonlinear dynamics; Nonlinear systems; Power system modeling; Power system simulation; Power system stability; Synchronous; Synchronous generators; Synchronous machines; Voltage; volterra series
• ISSN: 0885-8969; 1558-0059
• DOI: 10.1109/TEC.2005.847997

Application of volterra series for identification of a synchronous generator is investigated in this paper. For linear systems, convolution integral can be used to model the input-output data set. For nonlinear systems, however, volterra series serves as a generalization of the convolution integral. To parameterize the volterra kernels, orthogonal functions have been used. The proposed method is first applied on a seventh order nonlinear model of a synchronous generator with saturation effect and then it is tested on a micro-machine system. In this study, the field voltage is considered as the input and the active output power and the terminal voltage are considered as the outputs of the synchronous generator. Simulation and experimental results show good accuracy of the identified models.