摘要: It has been recognized that the proper parameters for the load model is significant to represent a load accurately. On the basis of introducing the Particle Swarm Optimization (PSO) and the Ant Colony Optimization (ACO), a paramet... 展开
作者 | Li Haoguang Yu Yunhua Shen Xuefeng | ||
---|---|---|---|
作者单位 | |||
文集名称 | 2016 IEEE 11th Conference on Industrial Electronics and Applications | ||
出版年 | 2016 | ||
出版社 | Institute of Electrical and Electronics Engineers | ||
会议名称 | IEEE Conference on Industrial Electronics and Applications | ||
开始页/总页数 | 545 / 6 | ||
会议日期/会议地点 | 20160605-07 / Hefei | 会议年/会议届次 | 2016 / 11th |
中图分类号 | TN1 | ||
关键词 | Parameter estimation Load modeling Optimization Algorithm design and analysis Induction motors Mathematical model Particle swarm optimization | ||
馆藏号 | N2017012000007643 |