| 局部阴影下最大功率点追踪技术应用 |
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| 引用本文： | 雷国平,罗秀英,张伟. 局部阴影下最大功率点追踪技术应用[J]. 无线互联科技, 2020, 0(7): 151-152 |
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| 作者姓名： | 雷国平 罗秀英 张伟 |
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| 作者单位： | 重庆三峡学院电子与信息工程学院 |
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| 基金项目： | 重庆市自然科学基金项目,项目编号:CSTC2018JCYJA1571。 |
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| 摘 要： | 为了降低电能损耗、提高利用率,将光伏系统中局部阴影下最大功率点追踪(MPPT)技术的跟踪精度和速度提高就显得很必要。文章首先综述了光伏系统处于局部阴影情况下的算法及其优缺点。其次,综述了太阳能电池的数学模型。再次,对以粒子群算法为例的群体智能优化算法进行了分析。最后,指出了局部阴影下全局最大功率点追踪(GMPPT)的发展方向。
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| 关 键 词： | 局部阴影 全局最大功率点 数学模型 粒子群算法 |
Application on maximum power point tracking technology under partial shadows |
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| Lei Guoping,Luo Xiuying,Zhang Wei. Application on maximum power point tracking technology under partial shadows[J]. Wireless Internet Technology, 2020, 0(7): 151-152 |
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| Authors: | Lei Guoping Luo Xiuying Zhang Wei |
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| Affiliation: | (School of Electronic and Information Engineering,Chongqing Three Gorges University,Chongqing 404100,China) |
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| Abstract: | It is necessary to improve the tracking accuracy and speed of the MPPT technology in the algorithm to avoid reducing the power loss in the output of the photovoltaic system under partial shading conditions. Based on the partial shadow situation, this paper first summarizes the related algorithms, secondly summarizes the mathematical model of solar cells, and then uses particle swarm optimization as an example to analyzes the swarm intelligence optimization algorithm. Finally, the research directions of GMPPT under partial shadows are summarized. |
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| Keywords: | local shadowing global maximum power point mathematical model particle swarm optimization |
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