| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 724257 | IFAC Proceedings Volumes | 2006 | 6 Pages |
Abstract
Synchronous generators are multivariable systems and are well defined in a state space structure. Subspace state space (4SID) identification method is most suitable for identification of such systems. In this paper, the identification of a synchronous generator using this identification method is presented. To cover the nonlinearities, first the overall range of operation in the active (P) and reactive (Q) power plane is divided into subsections and a linear state space model is identified for the centre of each subsection. A neural network is then used to estimate the parameters for the operating conditions other than the centres of the subsections.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
M. Karrari, W. Rosehart, O.P. Malik, A.H. Givehchi,