Estimation of synchronous machine parameters using new discrete time-filtering algorithm

This paper presents a new method for estimating synchronous machine parameters from frequency test using a discrete time-dynamic filter based 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 axis impedance magnitude and phase as a function of the frequency for estimating the d-axis parameters, such as the direct reactance and the different 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 compared 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 filtering algorithm (see M. Mambo, T. Nishiwaki, Syokokawa and Y. Ueki, IEEE Trans Power Appar. Syst., PAS-100 (7) (1981) 3304–3311).