Optimal Design of Winding Transposition of Power Transformer using Adaptive Co-Kriging Surrogate Model

被引：0
|
作者：
Xia, Bin [1 ]
Hong, Seokyeon [1 ]
Choi, Kyung [2 ]
Koh, Chang Seop [1 ]
机构：
[1] Chungbuk Natl Univ, Dept Elect Engn, Cheongju, South Korea
[2] Kangwon Natl Univ, Dept Elect Engn, Chunchon, South Korea
来源：
2016 IEEE CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION (CEFC) | 2016年
关键词：
Co-Kriging; electromagnetic devices; modeling accuracy; sampling points;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
An adaptive co-Kriging model is developed and incorporated into heuristic optimization algorithm to be applied to optimal transposition design of power transformer windings. The sampling points in the Kriging consist of a few expensive and many cheap data to save the computational efforts while increasing modeling accuracy. A criterion on the minimal number of total sampling data is also proposed.
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页数：1
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