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

Conference paper (2017)

Authors

X. Wang DC systems, Energy conversion & Storage - EEMCS
H. Polinder Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
D.J.P. Lahaye Numerical Analysis - EEMCS
Jan Abraham Ferreira ESE Programmes - EEMCS
Research Group
DC systems, Energy conversion & Storage (EEMCS) (TU Delft)
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Published Date

2017-4

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

DC systems, Energy conversion & Storage

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.

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