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An Improved Model-Based Maximum Power Point Tracker for Photovoltaic Panels

机译:改进的基于模型的光伏面板最大功率点跟踪器

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It is well known that in a photovoltaic (PV) plant, the modules are connected to switch-mode power converters to enhance the power output in every environmental condition. This task is performed by the maximum power point tracker (MPPT), which provides a current or voltage reference to the converter. Traditional perturb and observe or incremental conductance algorithms are not efficient in rapidly changing conditions, whereas a model-based (MB) MPPT offers a better dynamic performance. Because it is relatively easy to obtain an accurate model of a single PV panel, thus predicting the maximum power point voltage for given environmental conditions, MB MPPTs seemed to be attractive for employing in module integrated converters. Conventional MB MPPT algorithms, however, usually require an expensive pyranometer to properly operate. In this paper, starting from a new set of equations modeling a PV module, a novel MB MPPT technique, which does not require the direct measurement of the solar radiation, is proposed and experimentally validated.
机译:众所周知,在光伏(PV)工厂中,模块连接到开关模式功率转换器,以提高每种环境条件下的功率输出。该任务由最大功率点跟踪器(MPPT)执行,该跟踪器为转换器提供电流或电压参考。传统的扰动和观测或增量电导算法在快速变化的条件下效率不高,而基于模型(MB)的MPPT提供更好的动态性能。由于获得单个PV面板的精确模型相对容易,因此可以预测给定环境条件下的最大功率点电压,因此MB MPPT对于在模块集成转换器中使用似乎很有吸引力。但是,常规的MB MPPT算法通常需要昂贵的总辐射表才能正常运行。在本文中,从对光伏组件建模的一组新方程开始,提出了一种不需要直接测量太阳辐射的MB MPPT新技术,并进行了实验验证。

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