Optimal Design of a Switched Reluctance Generator for Small Wind Power System using a Genetic Algorithm

被引:0
作者
Shin, Hye-Ung [1 ]
Lee, Kyo-Beum [1 ]
机构
[1] Ajou Univ, Dept Elect & Comp Engn, Suwon, South Korea
来源
2015 9TH INTERNATIONAL CONFERENCE ON POWER ELECTRONICS AND ECCE ASIA (ICPE-ECCE ASIA) | 2015年
关键词
SRG; Optimal design; Genetic algorithm; FINITE-ELEMENT-ANALYSIS; FAULT-DIAGNOSIS; OPTIMIZATION; TURBINE; APPROXIMATION; OPERATION; IPMSM; DFIG;
D O I
暂无
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
This paper deals with the optimal design of a 1 kW-switched reluctance generator (SRG) for wind power applications. The optimal design of the SRG uses the design variables based on the basic design model. Latin hypercube sampling (LHS) is used to extract the samples of design variables. Kriging Method is used to approximate the objective and constraints functions, while genetic algorithm (GA) is used to optimize the generator design. The efficiency and the power density of the basic design model and the optimal model are compared.
引用
收藏
页码:2209 / 2214
页数:6
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