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Enhanced Maximum Power Point Tracking Capability of Grid-connected Solar PV Based on Improved Bacterial Foraging Optimization

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成果类型:
期刊论文
作者:
Li, Lixiong;Zeng, Guanghao;Wen, Bing
通讯作者:
Li, LX
作者机构:
[Li, Lixiong; Zeng, Guanghao] Hunan City Univ, Coll Mech & Elect Engn, Yiyang 413000, Peoples R China.
[Wen, Bing] Hunan City Univ, Coll Informat & Elect Engn, Yiyang 413000, Peoples R China.
通讯机构:
[Li, LX ] H
Hunan City Univ, Coll Mech & Elect Engn, Yiyang 413000, Peoples R China.
语种:
英文
关键词:
Index Terms-Photovoltaic;maximum power point tracking;newton interpolation calculation;bacterial foraging optimization;partial shading conditions
期刊:
Engineering Letters
ISSN:
1816-093X
年:
2025
卷:
33
期:
6
页码:
1896-1902
基金类别:
Outstanding Youth Scientific Research Fund of Hunan Provincial Department of Education [23B0744]; Hunan Natural Science Regional Joint Foundation [2025JJ70378]; Hunan Provincial Social Science Achievement Appraisal Committee Project [XSP24YBC180]
机构署名:
本校为第一且通讯机构
院系归属:
机械与电气工程学院
摘要:
solar power generating system's I-V curve exhibits nonlinear properties. Under the condition environmental change, the P-V characteristic curve of the photovoltaic array has multiple power peaks, which increases the complexity of power tracking. To address the challenge power point tracking under sudden environmental changes, this paper introduces an enhanced maximum power point tracking strategy utilizing an improved bacterial foraging optimization algorithm. The Newton interpolation method is used to initialize the bacterial position near the global maximum power point, and the bacterial for...

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