Identification of model parameters of excitation system and power system stabilizer of Mingtan#6 via finalization field tests

Experiences with the model parameter identification of the excitation system (EXS) and the power system stabilizer (PSS) for Mingtan#6 pumped storage generation unit of Taiwan Power System are presented in this paper. The input-output data corresponding to each block of the EXS and PSS were obtained when the finalization tests of this unit were performed. The generalized least squares (GLS) approach is introduced and employed to identify the desired parameters of the noisy excitation system and PSS models. In this method, the reduction technique of biased estimates due to the nonwhite (correlated) identification residual is also applied to improve the accuracy of identification. The results of the parameter estimation are satisfactory. The GLS parameter identification method using the measured data at finalization tests is then suggested from the viewpoint of economy and engineering