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Real time partial shading detection and global maximum power point tracking applied to outdoor PV panel boost converter

机译:实时局部阴影检测和全局最大功率点跟踪应用于室外光伏面板升压转换器

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摘要

PV panels power conversion are strongly depending on chopper structure and maximum power point tracker algorithm, such as perturb and observe or increment conductance. In certain operating conditions these algorithms become inaccurate. The aim of this paper is the PV panel operation under partial shading. Until now it is solved by intelligent techniques (ANN, Fuzzy logic...) where the result cannot be explained and inaccurate under desert climate. It is proposed a new global maximum power point tracking based on detection and analyzing partial shading phenomena affecting PV panels characteristics behavior. The proposed DA-GMPPT permits a partial shading detection, once it appears and the location of the other maximum power points. Using this proposal the whole PV power system works at its optimal power point for any type of partial shading, even under aging effect.
机译:光伏电池板的功率转换很大程度上取决于斩波器结构和最大功率点跟踪器算法,例如扰动和观察或增加电导。在某些操作条件下,这些算法将变得不准确。本文的目的是在部分阴影下操作光伏面板。到目前为止,它是通过智能技术(人工神经网络,模糊逻辑...)解决的,在沙漠气候下,结果无法解释且不准确。提出了一种新的全局最大功率点跟踪方法,该方法基于检测和分析影响光伏电池板特性行为的部分阴影现象。提出的DA-GMPPT允许部分阴影检测(一旦出现)以及其他最大功率点的位置。使用该建议,即使在老化的影响下,整个PV电力系统也可针对任何类型的部分阴影在其最佳功率点工作。

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