Title :
Maximum likelihood estimation of transformer high frequency parameters from test data
Author :
Keyhani, A. ; Chua, S.W. ; Sebo, S.A.
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
fDate :
4/1/1991 12:00:00 AM
Abstract :
A methodology for the development of transformer high-frequency models is presented. Time constants of the transformer transfer function are estimated from frequency response measurements by using the nonlinear least-squares method in the frequency domain. Then, the time response of transfer functions is used in conjunction with the maximum-likelihood method to estimate the transformer model parameters. As a case study, a high-frequency model of a 15 kVA, 7620/240 V single-phase distribution methodology
Keywords :
parameter estimation; power transformers; 15 kVA; 240 V; 7620 V; HF parameters; maximum-likelihood method; parameter estimation; single-phase distribution; transformer transfer function; Capacitance; Frequency domain analysis; Frequency estimation; Frequency response; Maximum likelihood estimation; Parameter estimation; Senior members; Testing; Transfer functions; Windings;
Journal_Title :
Power Delivery, IEEE Transactions on