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论文类型：期刊论文

发表时间：2015-09-01

发表刊物：IEEE TRANSACTIONS ON ENERGY CONVERSION

收录刊物：SCIE、EI、Scopus

卷号：30

期号：3

页面范围：1154-1162

ISSN号：0885-8969

关键字：Doubly fed induction generator; operating conditions; particle swarm optimization; power loss; rewinding; surrogate model; wind power generation

摘要：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.