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DFIG Machine Design for Maximizing Power Output Based on Surrogate Optimization Algorithm

Lookup NU author(s): Zheng Tan, Dr Xueguan Song, Dr Wenping Cao, Zheng Liu

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

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 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.

Publication metadata

Author(s): Tan Z, Song XG, Cao WP, Liu Z, Tong YB

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Energy Conversion

Year: 2015

Volume: 30

Issue: 3

Pages: 1154-1162

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

Publisher: IEEE

URL: http://dx.doi.org/10.1109/TEC.2015.2411153

DOI: 10.1109/TEC.2015.2411153

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