Lookup NU author(s): Zheng Tan,
Dr Xueguan Song,
Dr Wenping Cao,
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
This paper presents a surrogate-model-based optimization of a doubly-fed induction generator (DFIG) machine winding design for maximizing power yield. Based on site-specific wind profile data and the machine's previous operational performance, the DFIG's stator and rotor windings are optimized to match the maximum efficiency with operating conditions for rewinding purposes. The particle swarm optimization-based surrogate optimization techniques are used in conjunction with the finite element method to optimize the machine design utilizing the limited available information for the site-specific wind profile and generator operating conditions. A response surface method in the surrogate model is developed to formulate the design objectives and constraints. Besides, the machine tests and efficiency calculations follow IEEE standard 112-B. Numerical and experimental results validate the effectiveness of the proposed technologies.
Author(s): Tan Z, Song XG, Cao WP, Liu Z, Tong YB
Publication type: Article
Publication status: Published
Journal: IEEE Transactions on Energy Conversion
Print publication date: 01/09/2015
Online publication date: 02/04/2015
Acceptance date: 02/03/2015
Date deposited: 31/03/2016
ISSN (print): 0885-8969
ISSN (electronic): 1558-0059
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