Estimation of Induction Motor Parameters Using Hybrid Algorithms for Power System Dynamic Studies

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Estimation of Induction Motor Parameters Using Hybrid Algorithms for Power System Dynamic Studies

This paper proposes a hybrid Newton-Raphson and genetic algorithm for the estimation of double cage induction motor parameters from commonly available manufacturer data. The hybrid algorithm was tested on a large data set of 6,380 IEC and NEMA motors and then compared with a baseline Newton-Raphson...

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Bibliographic Details
Main Authors:	Susanto, Julius, Islam, Syed
Other Authors:	Michael Negnevitsky
Format:	Conference Paper
Published:	University of Tasmania 2013
Subjects:	hybrid algorithm parameter estimation Induction motor
Online Access:	http://hdl.handle.net/20.500.11937/23117

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