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Optimal Design of a Grid-Connected-to-Rotor Type Doubly Fed Induction Generator for Wind Turbine Systems

Authors
You, Yong-MinLipo, ThomasA.Kwon, Byung-Il
Issue Date
Nov-2012
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Doubly fed induction generator (DFIG); finite element analysis (FEA); genetic algorithm (GA); Kriging model; optimal design
Citation
IEEE TRANSACTIONS ON MAGNETICS, v.48, no.11, pp.3124 - 3127
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON MAGNETICS
Volume
48
Number
11
Start Page
3124
End Page
3127
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/31749
DOI
10.1109/TMAG.2012.2200667
ISSN
0018-9464
Abstract
This paper performs a shape optimization of a grid-connected-to-the-rotor type doubly fed induction generator (DFIG) in which the rotor winding is connected to the grid instead of the stator winding. To analyze the characteristics of a DFIG accurately, a time step 2D-FEA is carried out, which is coupled with Simplorer. To maximize the torque per weight as well as to maintain the efficiency, the Kriging model based on latin hypercube sampling and genetic algorithm are utilized. As an optimal design result, the torque per weight on the optimal model has been increased. Finally, the analysis and the optimal design results are confirmed by the experimental results.
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