最大功率点跟踪
光伏系统
可再生能源
BitTorrent跟踪器
计算机科学
太阳能微型逆变器
最大功率原理
汽车工程
控制工程
工程类
电气工程
逆变器
人工智能
眼动
电压
作者
Musong Louis Katche,Augustine B. Makokha,Siagi O. Zachary,Muyiwa S. Adaramola
出处
期刊:Energies
[Multidisciplinary Digital Publishing Institute]
日期:2023-02-24
卷期号:16 (5): 2206-2206
被引量:134
摘要
Renewable Energy technologies are becoming suitable options for fast and reliable universal electricity access for all. Solar photovoltaic, being one of the RE technologies, produces variable output power (due to variations in solar radiation, cell, and ambient temperatures), and the modules used have low conversion efficiency. Therefore, maximum power point trackers are needed to harvest more power from the sun and to improve the efficiency of photovoltaic systems. This paper reviews the methods used for maximum power point tracking in photovoltaic systems. These methods have been classified into conventional, intelligent, optimization, and hybrid techniques. A comparison has also been made of the different methods based on criteria such as tracking speed, efficiency, cost, stability, and complexity of implementation. From the literature, it is clear that hybrid techniques are highly efficient compared to conventional methods but are more complex in design and more expensive than the conventional methods. This review makes available useful information that can be exploited when choosing or designing MPPT controllers.
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