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A Real-Time Optimization Approach to the Efficiency of a Photovoltaic System by a Hybrid Tracking Technique using LabVIEW

机译:利用LabVIEW的混合跟踪技术实时优化光伏系统效率

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Among the lines of research on improving the efficiency of a photovoltaic panel, sun tracking techniques occupy a large part. In this article, an extension of Laboratory Virtual Instrument Engineering Workbench (LabVIEW); LabVIEW Interface For Arduino (LIFA) is used. It allows the driving of an Arduino board from LabVIEW, on which a collaboration technique between two categories of pursuit is developed: The first is sensory and the second is pre-programmed. This hybrid two-axis technique is characterized by impulse control strategist with pre-programmed control and dual sensory correction. The results reveal that the hybrid tracking system gave an additional energy gain of about 36% compared to a fixed photovoltaic panel system. Thus, it has practically a percentage increase of 2 and 2.3% respectively to the two techniques used.
机译:在提高光伏电池板效率的研究领域中,太阳跟踪技术占据了很大一部分。本文是实验室虚拟仪器工程工作台(LabVIEW)的扩展;使用了用于Arduino的LabVIEW接口(LIFA)。它允许从LabVIEW驱动Arduino板,并在该板上开发了两类追踪技术之间的协作技术:第一种是感官,第二种是预先编程的。这种混合式两轴技术的特点是具有预编程控制和双重感官校正功能的脉冲控制策略师。结果表明,与固定式光伏面板系统相比,混合跟踪系统提供了约36%的额外能量增益。因此,与所使用的两种技术相比,它实际上分别增加了2%和2.3%的百分比。

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