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An intelligent off-line MPPT technique for PV applications

机译:适用于光伏应用的智能离线MPPT技术

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Harnessing energy from the abundant and free sunlight is now a days a hot topic among the research community. The availability of cheap solar modules has made it possible to harvest solar energy with better efficiency. The nature of solar modules is non linear and therefore the process of impedance matching is essential. The proper impedance matching ensures extraction of the maximum power from solar PV module. Several algorithms are reported in literature that are used to operate the DC-DC converter around Maximum Power Point (MPP). Among those algorithms off-line techniques are considered the easiest to implement. However, intermittent measurement of Short Circuit Current (SCC)/Open Circuit Voltage (OCV) results in the power loss. The decision about the measurement of SCC/OCV is often based on the irradiance/temperature sensors. In this paper we propose a modified algorithm for off-line MPPT techniques. The proposed technique decides intelligently about the measurement of SCC/OCV. The technique is modeled and simulated in Matlab/Simulink and the results shows satisfactory performance against test conditions.
机译:从充足和自由的阳光中获取能量成为当今研究界的热门话题。廉价太阳能模块的可用性使得有可能以更高的效率收集太阳能。太阳能模块的性质是非线性的,因此阻抗匹配的过程至关重要。适当的阻抗匹配可确保从太阳能光伏组件中提取最大功率。文献中报道了几种算法,这些算法用于在最大功率点(MPP)附近操作DC-DC转换器。在那些算法中,离线技术被认为是最容易实现的。但是,间歇测量短路电流(SCC)/开路电压(OCV)会导致功率损耗。有关SCC / OCV测量的决定通常基于辐照度/温度传感器。在本文中,我们提出了一种针对离线MPPT技术的改进算法。所提出的技术可以智能地决定SCC / OCV的测量。在Matlab / Simulink中对该技术进行了建模和仿真,结果表明在测试条件下性能令人满意。

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