Estimating parameters of synchronous generators using square-root unscented Kalman filter

A new method to estimate the parameters of a synchronous generator using the square-root unscented Kalman filter (SRUKF) is presented in the paper. A third-order model for the parameter estimation of both round rotor and salient generators is developed first and then the SRUKF method is applied to the third-order model to perform the joint estimation of state variables and unknown generator parameters. The simulation results on a test system demonstrated the effectiveness of the proposed method in parameter recognition of a synchronous generator. The estimation processes of generator parameters steadily converge to the estimated values whereas the estimation processes of state variables are consistent with the dynamic responses in the numerical simulations. (C) 2010 Elsevier B.V. All rights reserved.