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Links to published journals:http://xueshu.baidu.com/s?wd=paperuri%3A%2817dca0118c77d49b7ec2fb83ed64eef9%29&filter=sc_long_sign&tn=SE_xueshusource_2kduw22v&sc_vurl=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%

Date of Publication:2015-04-02

Journal:IEEE Transactions on Energy Conversion

Included Journals:SCI、EI

Discipline:Engineering

First-Level Discipline:Mechanical Engineering

Volume:3

Issue:30

Page Number:1-9

Key Words:Rotors, Stator windings, Optimization, Windings, Wind speed, Wind turbines

Abstract: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