Identification of a state space model for a synchronous machine

Authors:	Wu Bin, University of Calgary, Canada Zhao Peng, University of Calgary, Canada Malik Om, University of Calgary, Canada
Topic:	6.3 Power Plants and Power Systems
Session:	Power Plants and Power Systems Modelling and Control
Keywords:	Synchronous machine, State space model, MIMO system, Recursive subspace identification

Abstract

Application of a recursive subspace identification method to derive a state space model for a synchronous machine is described in this paper. Simulation studies show the effectiveness of such an algorithm to identify on-line a synchronous machine model over a wide range of operating conditions and disturbances. The model provides a foundation for further study on a MIMO adaptive power system stabilizer.