Nonlinear model reduction-based induction motor aggregation

Abstract

Summary This paper focuses on the problem of aggregating induction motors into a low‐order equivalent model, which is very essential in large power system simulations. A new aggregating method is proposed based on nonlinear model reduction technique. The proposed method is developed directly from the detailed dynamic model of induction motors. By using empirical Gramians‐based nonlinear model reduction techniques, a low‐order load model, which can closely represent the dynamic characteristics of the detailed system, is obtained. The absence of drastic simplifications and the proper preservation of the input–output behavior of the original motors group allow the aggregated model to attain good accuracy. Two case studies are conducted to verify the validity of the proposed aggregating method. The simulation results show that this new method could attain high accuracy of simulation of all the individual induction motors under various operating conditions, especially when system is facing large disturbances. Copyright © 2015 John Wiley & Sons, Ltd.

Behavior of a Dual Stator Induction Machine Fed by Neutral Point Clamped Multilevel Inverter

“…Dual three-phase machines are characterized by the multiphase structure with two sets of three-phase stator windings in the same stator frame. As a disadvantage, dual three-phase machines can suffer from problems with undesired stator current harmonics [9][10][11].…”