Modeling and Optimization for Connection Design of the Asymmetric-Paths Winding by Novel Combinatorial Approach

• Published in: IEEE access Vol. 7; pp. 136268 - 136278
• Main Authors: Liang, Yanping, Guo, Zhongqi, Bian, Xu, Wang, Chenguang, Wang, Dongmei, Gao, Lianlian
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: AC machines; Asymmetric-paths winding; Asymmetry; Biological system modeling; Coils; Coils (windings); Combinatorial analysis; combinatorial approach; connection optimization; Design optimization; Modelling; Object recognition; Optimization; Stator windings; Winding; winding design; Windings
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2019.2942200

This paper proposes a novel combinatorial approach for the optimization design of the asymmetric-paths winding, to solve the design contradiction between the asymmetric degree and the tidiness of end connections. In the proposed approach, the combinatorial models for the arrangement and the connection are built. In addition, some grouping strategies are applied into the combinatorial models, and some matching strategies are provided to deal with the combination of coils among groups for the optimized arrangement. At last, the winding design of a large hydro-generator combing with the electromagnetic analysis is provide for the validation. The results show that the optimized design presents a low asymmetric degree between parallel paths as well as a tidy connection of end windings simultaneously, which are better than the existing designs. This approach provides a novel idea for the modeling and optimization design for the ac windings, especially for the asymmetric-paths windings.