DFIG machine design for maximizing power output based on surrogate optimization algorithm


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 DOI: https://doi.org/10.1109/TEC.2015.2411153
Divisions: Engineering & Applied Sciences
Additional Information: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Uncontrolled Keywords: doubly fed induction generator,operating conditions,particle swarm optimization,power loss,rewinding,surrogate model,wind power generation
Full Text Link: http://ieeexplo ... rnumber=7078905
Related URLs:
PURE Output Type: Article
Published Date: 2015-09
Published Online Date: 2015-04-01
Accepted Date: 2015-03-02
Submitted Date: 2014-06-02
Authors: Tan, Zheng
Song, Xueguan
Cao, Wenping ( 0000-0002-8133-3020)
Liu, Zheng
Tong, Yibin



Version: Published Version

License: Creative Commons Attribution

Export / Share Citation


Additional statistics for this record