Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances

被引：8
作者：
Zainal, Nurul Afiqah [1 ]
Yusoff, Ahmad Razlan [1 ]
Apen, Ajisman [1 ]
机构：
[1] Univ Malaysia Pahang, Fac Mfg Engn, Pekan 26600, Pahang, Malaysia
来源：
MEASUREMENT | 2019年 / 131卷
关键词：
Photovoltaic panel; Maximum power point tracking; Constant voltage; Fuzzy logic; MPPT TECHNIQUES; PV SYSTEM; TEMPERATURE; MODULES; EFFICIENCY; ENERGY; PANELS;
D O I：
10.1016/j.measurement.2018.08.056
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The nonlinearity of solar irradiation and temperature leads to unstable photovoltaic (PV) outputs and decrease in efficiency. A method based on experimental study is developed to maximize the output of the PV panels using the combination of PV cooling system and fuzzy logic, fuzzy logic (FL)-based constant voltage (CV) maximum power point tracking (MPPT) algorithm. The PV cooling system reduces the PV panel temperature to the optimum temperature, while the FL-based CV MPPT algorithm tracks the maximum power of the PV panel. Experimental results showed that the combination of the two methods in a PV system results in improving the photovoltaic performances. Thus, the PV panel outputs increase when the PV panel works at its optimum temperature. This integrated FL-based CV MPPT controller proves the effectiveness in improving PV performances for any weather condition. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码：100 / 108
页数：9
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