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

机译:用于改善光伏性能的模糊逻辑控制器的集成冷却系统和最大功率点跟踪

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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.
机译:太阳照射和温度的非线性导致不稳定的光伏(PV)输出并降低效率。 开发了一种基于实验研究的方法,可以使用光伏冷却系统和模糊逻辑,模糊逻辑(FL)基恒电压(CV)最大功率点跟踪(MPPT)算法的组合来最大化PV面板的输出。 光伏冷却系统将光伏面板温度降低到最佳温度,而基于FL的CV MPPT算法跟踪PV面板的最大功率。 实验结果表明,光伏系统中两种方法的组合导致改善光伏性能。 因此,当PV面板在其最佳温度下工作时,PV面板输出增加。 这种集成的FL-基CV MPPT控制器证明了改善任何天气状况的PV表演的有效性。 (c)2018年elestvier有限公司保留所有权利。

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