ESTIMATION OF SYNCHRONOUS MACHINE PARAMETERS USING NEW DISCRETE TIME-FILTERING ALGORITHM

This paper presents a new method for estimating synchronous machine pa rameters from frequency test using a discrete time-dynamic filter base d on the least absolute value parameter estimation algorithm (see G.S. Christensen and S.A. Soliman, Automatica, 26 (2) (1990) 389-395). The proposed method uses a digital set of measurements for the direct axi s impedance magnitude and phase as a function of the frequency for est imating the d-asis parameters, such as the direct reactance and the di fferent direct axis time constants, as well as the q-axis parameters. A practical example from the literature is used (see F.B. De Mello and L.N. Hannet, IEEE Trans. Power Appar. Syst., PAS-102 (12) (1983) 3810 -3815) to test the proposed algorithm, and results are obtained and co mpared with those obtained using other methods such as the least error squares algorithm (see S.A. Soliman, S.E. Emam and G.S. Christensen, Can. J. Electr. Comput. Eng., 14 (3) (1989) 98-102) and the Kalman fil tering algorithm (see M. Mambo, T. Nishiwaki, Syokokawa and Y. Ueki, I EEE Trans Power Appar. Syst., PAS-100 (7) (1981) 3304-3311). (C) 1996 Elsevier Science S.A.