基于Arduino的低成本二自由度太阳能跟踪器的设计与构建

M. Beily, Rusman Sinaga, Zilman Syarif, M. Pae, Rochani Rochani
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引用次数: 2

摘要

最近,对太阳能电池板安装的需求有所增加。不幸的是,它大多是在一个固定的表面或在一个固定的位置。因此,根据一天中太阳辐射的不同变化,光伏(PV)电池产生的功率显著降低。为了增加太阳能发电,本文提出了一种结构简单、精度高、低成本的跟踪太阳方向的双自由度太阳能跟踪器的设计和构造。该系统使用闭环系统,其中光强度作为参考,由光相关电阻(LDR)作为Arduino的模拟输入和系统控制器进行比较。该跟踪策略利用了LDR定向能力,LDR定向能力可分为四个方向,即入射到LDR传感器的阳光的一个方向、两个方向、三个方向和四个方向。所使用的太阳跟踪系统是在从东到西、从北到南旋转的伪方位角系统中实现的。在实验中,为了找到更可靠的系统,对2自由度太阳能跟踪系统和静态太阳能帆板系统进行了比较评估。试验结果表明,与固定模式相比,该方法可提高光伏组件的电能效率,平均提高36.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Construction of a Low Cost of Solar Tracker Two Degree of Freedom (DOF) Based On Arduino
Recently, there has been an increase in the demand for solar panel installations. Unfortunately, it is mostly in a fixed surface or is in a stationary position. Hence, the power generated by the photo-voltaic (PV) cells decreases significantly according to different variations in solar radiation throughout the day. To increase the solar power generation, this paper proposes the design and construction of a two low-cost DOF solar tracker that follows the direction of the sun with a simple construction yet great precision. The system uses a closed- loop system where the light intensity is used as a reference for comparison by the Light Dependent Resistor (LDR) as an analog input to the Arduino and as a system controller. The tracking strategy uses the LDR orientation capability which can be divided into four directions, consisting of one direction, two directions, three directions and four directions of sunlight incident to the LDR sensor. The solar tracking system used is implemented in the Pseudo-Azimuths system which rotates from east to west and from north to south. In the experiment, the comparative evaluation between the 2 DOF solar tracking system and the static solar panel system is the main point of comparison in order to find out more reliable system. From the results of the tests, the results show that the proposed method increases the efficiency of the electrical energy of PV modules with an average value of 36.2% compared to a fixed model.
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