FE Based Multi-Objective Optimization of a 3.2MW Brushless Doubly-Fed Induction Machine

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1 Citation (Scopus)

Abstract

The brushless doubly-fed induction machine (DFIM) has great potential for wind turbine applications. However, it has not yet been commercialized due to its complicated operating principle. Previously, a computationally efficient FE model has been developed. Some design guidelines for the stator pole-pair combinations and the nested-loop rotors have been gained from the previous work. This paper brings the model and design guidelines together to optimize the design of a 3.2MW brushless DFIM. Both the active material cost and the efficiency are optimized. The results show that the magnetic loading of the brushless DFIM is increased for a better design by using the FE based optimization tool. The optimized designs increase the efficiency and the shear stress while reducing the torque ripple and the THD level of the stator voltages. However, the optimized designs result in a high electric loading which would be a challenge for cooling.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages89-94
Number of pages6
ISBN (Electronic)978-1-5090-5853-2
DOIs
Publication statusPublished - Apr 2017
EventIEEE WEMDCD'2017: IEEE Workshop on Electrical Machines Design, Control and Diagnosis - University of Nottingham, Nottingham, United Kingdom
Duration: 20 Apr 201721 Apr 2017
http://w1.icem.cc/wemdcd2017/index.php/component/users/?view=reset

Conference

ConferenceIEEE WEMDCD'2017
Abbreviated titleWEMDCD
CountryUnited Kingdom
CityNottingham
Period20/04/1721/04/17
Internet address

Keywords

  • Brushless
  • Doubly-fed
  • Induction machine
  • Multi-objective optimization
  • Nested-loop rotor

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