Parameters weighting-mean synthesis modeling to induction motor

Abstract

This article provides a modeling method of an induction motor describing aggregate electric power load, which is called "parameter weighting-mean synthesis modeling". This method is based on the identification modeling for every single load record. The essential procedure of this method is that we obtain every set of model parameters of induction motor for all corresponding load records with identification modeling respectively at first, and then get the weighting-mean parameters of all single identification modeling. Finally we use the weighting-mean parameters as equivalent model parameters of an induction motor describing the aggregate power load. The practical modeling results show that this method is very convenient to use and is simpler and more effective than the "synthesis identification modeling".