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Dual-mode control MPPT algorithm based on improved genetic algorithm and perturbation and observation method

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成果类型:
期刊论文、会议论文
作者:
Zhao, Yuhong*;Su, Zeguang;Xu, Zuhua
通讯作者:
Zhao, Yuhong
作者机构:
[Su, Zeguang; Zhao, Yuhong; Xu, Zuhua] Univ South China, Inst Elect Engn, Hengyang, Hunan, Peoples R China.
通讯机构:
[Zhao, Yuhong] U
Univ South China, Inst Elect Engn, Hengyang, Hunan, Peoples R China.
语种:
英文
关键词:
Maximum power point tracking;Perturbation and observation method;Photovoltaic cells
期刊:
Advanced Materials Research
ISSN:
1022-6680
年:
2013
卷:
614-615
页码:
1367-1371
会议名称:
2nd International Conference on Energy, Environment and Sustainable Development, EESD 2012
会议论文集名称:
Advanced Materials Research
会议时间:
12 October 2012 through 14 October 2012
会议地点:
Jilin, PEOPLES R CHINA
会议主办单位:
[Zhao, Yuhong;Su, Zeguang;Xu, Zuhua] Univ South China, Inst Elect Engn, Hengyang, Hunan, Peoples R China.
会议赞助商:
NE Dianli Univ, Shanghai Univ Elect Power
主编:
Sun, M Yan, G Zhang, Y
出版地:
KREUZSTRASSE 10, 8635 DURNTEN-ZURICH, SWITZERLAND
出版者:
TRANS TECH PUBLICATIONS LTD
ISBN:
9783037855515
机构署名:
本校为第一且通讯机构
院系归属:
电气工程学院
摘要:
To improve the tracking accuracy of the maximum power point of photovoltaic cells can improve the operational efficiency of photovoltaic power generation system and reduce the cost of photovoltaic electricity. Because the common perturbation and observation (P&O) runs at a low speed, this paper proposes a new dual-mode control maximum power point tracking (MPPT) algorithm based on improved genetic algorithm and P&O method. Then this method was used in the experiment. From the experimental results can be seen, the algorithm overcomes the shortco...

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