Title :
Decomposed, Reduced Order Model for Double-Cage Induction Machines
Author :
Richards, Gill G. ; Tan, Owen T.
Author_Institution :
Louisiana State University, Baton Rouge, LA 70803
Abstract :
A method is presented and validated for increasing the computational efficiency in simulating double-cage induction machines where stator transients are to be included. Iterative decomposition is used to separate the flux-linkage equations into decoupled fast and slow subsystems, after which the model order of the fast subsystem is reduced by neglecting the heavily damped fast transients caused by the starting cage. The two decoupled subsystems along with the equation for the very slowly changing slip constitute a three time-scale model for the machine which resulted in more than doubling computational speed.
Keywords :
Computational modeling; Couplings; Induction machines; Induction motors; Nonlinear equations; Power system modeling; Power system stability; Power system transients; Reduced order systems; Stator windings;
Journal_Title :
Energy Conversion, IEEE Transactions on
DOI :
10.1109/TEC.1986.4765739