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

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

Internet

http://hdl.handle.net/20.500.11937/23117

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