文章基本信息

标题：Design of Small Photovoltaic Power Generation System Based on Maximum Power Point Tracking
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作者：Yang Cui ; Cheng Liu ; Yanming Cheng 等
期刊名称：Inteligencia Artificial : Ibero-American Journal of Artificial Intelligence
印刷版ISSN：1137-3601
电子版ISSN：1988-3064
出版年度：2021
卷号：23
期号：66
DOI：10.4114/intartif.vol23iss66pp26-35
语种：English
出版社：Spanish Association for Intelligence Artificial
摘要：According to the nonlinear output characteristics of photovoltaic cells, combined with artificial intelligence algorithm the MPPT（Maximum Power Point Tracking）control algorithm based on fuzzy variable step size is proposed, which enables the system to quickly track the maximum power point and improve the energy conversion efficiency of photovoltaic system. This paper designs a small-scale photovoltaic power generation system. The main circuit of the system consists of Perovskite Solar Panels, DC voltage regulator circuit, storage battery and one-way full bridge inverter circuit. The control circuit consists of sun-seeking, inverter and maximum power tracking on constant voltage. Proteus simulation software is used to simulate the sun-seeking part, the inverting part, the general control unit, the keys and the display interface. The results indicate that the functions of the small-scale photovoltaic power generation system can be achieved very well.