Title :
Parameters weighting-mean synthesis modeling to induction motor
Author :
Xinran, Li ; Yuanxin, Chen
Author_Institution :
Hunan Univ., Changsha, China
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"
Keywords :
identification; induction motors; load (electric); machine theory; aggregate electric power load; equivalent model parameters; identification modeling; induction motor; induction motor model; modeling method; parameter weighting-mean synthesis modeling; Aggregates; Equations; Induction motors; Load modeling; Power engineering and energy; Power system modeling; Power system simulation; Power system transients; Substations; Voltage;
Conference_Titel :
Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
7-5062-5115-9
DOI :
10.1109/ICEMS.2001.970609