By Topic

Investigation of a reduced order model for induction machine dynamic studies

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
K. P. R. Sastry ; University of New Brunswick ; R. E. Burridge

In this paper, a reduced order model of an induction machine, developed in reference [1] is investigated using digital simulation and eigenvalue studies. The model is compared with the complete representation by simulating the non-linear equations of both for the same dynamic situation. This study includes the transient load modeling of a single machine and the performance of the model in the case of interconnected machines. It is observed that the results obtained using the simplified model compare well with those obtained using the complete model and that significant saving in computation time results for the case of interconnected machines. Also a linearized version of the model is used for stability studies using eigenvalue analysis. Here again, the stability for small perturbations of a single machine and a system of interconnected machines is investigated using the reduced order and complete models. The reduced order model is found to give only approximate results regarding stability in a limited range of operating conditions. It appears that the reduced order model, if used in its non-linear form would be effective in transient stability studies of large-scale systems.

Published in:

IEEE Transactions on Power Apparatus and Systems  (Volume:95 ,  Issue: 3 )