Title :
Maximum likelihood estimation of high frequency machine and transformer winding parameters
Author :
Keyhani, A. ; Tsai, H. ; Abur, A.
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
fDate :
1/1/1990 12:00:00 AM
Abstract :
A method is presented to establish a multisection network model for study of high-frequency transient behavior of transformer and machine windings. The parameters of the network model are estimated using the maximum-likelihood estimation technique. In order to verify the proposed estimation method, the parameters of a six-section network model are estimated
Keywords :
machine windings; transformer windings; transients; high frequency machine; machine windings; maximum-likelihood estimation technique; multisection network model; transformer winding parameters; transient behavior; Circuit faults; Frequency estimation; HVDC transmission; Impedance; Machine windings; Maximum likelihood estimation; Power system harmonics; Resonance; Surges; Transient analysis;
Journal_Title :
Power Delivery, IEEE Transactions on