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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. >

Low frequency oscillations have been a major concern for many years in the Taiwan power system. To damp out inter-area oscillations, a number of power system stabilizers were applied at the slow response excitation systems of the most influenced generators. In this paper, the choice of stabilizer parameters and the evaluation of overall system performance improvement were studied extensively from simulation, testing and operating aspects. Both the stabilizer performance index and the spectrum analysis of steady state observations were proposed for assessment needs. From the evidence, the choice to increase system damping and power transfer capability of trunk transmission lines by adding proposed stabilizers was verified. >