摘要
双馈风力发电机设计可以根据经验值进行最初设计,但是由于电机设计的变量多,约束条件复杂,要寻求一个最优的设计方案,仅凭经验远远不够,所以需要依靠计算机通过编写合适的优化程序进行快速高效的设计。文中将遗传优化算法应用到双馈风力发电机优化设计当中,全局寻优电机成本。结果表明该优化设计方案合理,电机成本降低了8.5%,验证了该方案的正确性。
The design of doubly-fed wind power generator can be planned according to the experience value,but because of the variable of the motor design,complex constraints,to seek an optimal design scheme,only by the experience is far from enough,so the computer is needed to write a suitable optimization design program for high speed and efficient design. The genetic algorithm is applied to the optimal design of doubly-fed wind power generator,and the cost of the motor is optimized.The results show that the optimal design scheme is reasonable and the motor cost is reduced by 8.5%,which verifies the correctness of the optimization scheme.
出处
《邵阳学院学报（自然科学版）》
2017年第6期49-53,共5页
Journal of Shaoyang University：Natural Science Edition
基金
湖南省科技厅重点研发项目(2016TP1023)
湖南省教育厅重点研究项目(16A191)
关键词
遗传算法
双馈电机
优化设计
成本
genetic algorithms
doubly-fed wind power generator
optimal design
cost
