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Positive sequence induction motor speed control drive model for time‐domain simulations
Author(s) -
Ramasubramanian Deepak,
Vittal Vijay
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.1682
Subject(s) - induction motor , rectifier (neural networks) , squirrel cage rotor , stator , control theory (sociology) , rotor (electric) , computer science , time domain , control engineering , electronic speed control , motor drive , engineering , voltage , control (management) , electrical engineering , artificial neural network , artificial intelligence , computer vision , mechanical engineering , stochastic neural network , machine learning , recurrent neural network
The implementation of a positive sequence model for a squirrel cage induction motor speed control drive for use in time‐domain simulations of power systems is addressed. The drive model modulates the motor stator voltage magnitude and frequency to maintain constant rotor speed. A non‐ideal operation of the rectifier has been assumed. The performance of the model is assessed using a three‐machine nine bus WSCC equivalent system and a test distribution system. To simulate the time‐domain behaviour, an independently developed simulation program is used. It shows that the behaviour of the motor model in the independently developed simulation program is comparable and coincident to the behaviour of a motor model in commercial software. Furthermore, the need to include induction motor speed drive models in commercial software to analyse the behaviour of realistic systems is highlighted.

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