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Application of a Modified Genetic Algorithm in the Maximum Power Point Tracking

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成果类型:
会议论文
作者:
Hu, Heping*;Liao, Yanguo;Wang, Xiaofeng;Zhao, Yuhong
通讯作者:
Hu, Heping
作者机构:
[Zhao, Yuhong; Liao, Yanguo; Hu, Heping; Wang, Xiaofeng] Univ South China, Sch Elect Engn, Sch Math & Phys, Hengyang 421001, Hunan, Peoples R China.
通讯机构:
[Hu, Heping] U
Univ South China, Sch Elect Engn, Sch Math & Phys, Hengyang 421001, Hunan, Peoples R China.
语种:
英文
期刊:
INTERNATIONAL CONFERENCE ON FRONTIERS OF ENVIRONMENT, ENERGY AND BIOSCIENCE (ICFEEB 2013)
年:
2013
页码:
728-733
会议名称:
International Conference on Frontiers of Environment, Energy and Bioscience (ICFEEB)
会议时间:
OCT 24-25, 2013
会议地点:
Beijing, PEOPLES R CHINA
会议主办单位:
[Hu, Heping;Liao, Yanguo;Wang, Xiaofeng;Zhao, Yuhong] Univ South China, Sch Elect Engn, Sch Math & Phys, Hengyang 421001, Hunan, Peoples R China.
主编:
Zheng, D
出版地:
439 DUKE STREET, LANCASTER, PA 17602-4967 USA
出版者:
DESTECH PUBLICATIONS, INC
ISBN:
978-1-60595-133-1
基金类别:
financially supported by the Scientific Research Fund of Hunan Provincial Science and Technology Programme, Project Number (2012GK3136);Hengyang City Science and Technology Programme (KJ01)
机构署名:
本校为第一且通讯机构
院系归属:
电气工程学院
数理学院
摘要:
In order to improve the efficiency of photovoltaic systems, under different temperature and irradiance conditions, intelligent control techniques for the tracking of the maximum power point were investigated in this paper. Against the problem of Step length selection of the traditional duty ratio perturbation algorithm, a duty ratio perturbation based on genetic algorithm is proposed. It is shown the excellent features of the modified algorithm...

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