An intelligent off-line MPPT technique for PV applications

H. A. Sher, Ali Faisal Murtaza, K. E. Addoweesh, M. Chiaberge
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引用次数: 8

Abstract

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.
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一种用于光伏应用的智能离线MPPT技术
利用丰富而免费的阳光中的能量是目前研究界的一个热门话题。廉价太阳能组件的可用性使得以更高的效率收集太阳能成为可能。太阳能组件的性质是非线性的,因此阻抗匹配的过程是必不可少的。适当的阻抗匹配可以确保从太阳能光伏组件中提取最大功率。文献中报道了几种用于在最大功率点(MPP)附近操作DC-DC转换器的算法。在这些算法中,离线技术被认为是最容易实现的。然而,间歇性测量短路电流(SCC)/开路电压(OCV)会导致功率损失。SCC/OCV的测量决定通常基于辐照度/温度传感器。本文提出了一种改进的离线MPPT算法。该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,结果表明该技术具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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