Large multidisciplinary design optimization applied to a permanent magnet synchronous generator

被引：3
|
作者：
Bazzo, T. P. M. [1 ,2 ]
Gerbaud, L. [2 ]
Kolzer, J. F. [1 ]
Carlson, R. [1 ]
Wurtz, F. [2 ]
机构：
[1] Univ Fed Santa Catarina, Dept Elect Engn, GRUCAD, Campus Reitor Joao David Ferreira Lima, Florianopolis, SC, Brazil
[2] Grenoble Alpes Univ, G2Elab, Grenoble, France
来源：
INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS | 2018年 / 56卷
关键词：
Large optimization problem; multidisciplinary design optimization; permanent magnet synchronous generator design; sequential quadratic algorithm; wind power; MODELS;
D O I：
10.3233/JAE-172287
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The present paper deals with a large multidisciplinary design optimization (MDO) applied to a wind turbine permanent magnet synchronous generator (PMSG). The multidisciplinary nature of the model allows reliable results, but it demands high complexity and a large number of variables. Furthermore, to calculate the wind turbine energy production it is necessary to include several operating points in the model, increasing even more the dimension of the problem. To deal with this large optimization problem, the sequential quadratic programming (SQP) algorithm has been chosen. The results show that, besides the model complexity, the solution is obtained fast.
引用
收藏
页码：S171 / S181
页数：11
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