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.

引用

页数：1

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