Photovoltaic Power Tracking Techniques with Intelligent Prediction

Baig Aa, Yang Xx, Yang Ms
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Abstract

Prediction of photovoltaic (PV) power output has become more important recently. PV power completely depends on solar cell working conditions, which are directly connected to the weather. So, to get the maximum power output from the system many maximum power point tracking (MPPT) techniques have been introduced, but in this paper, MPPT techniques with intelligent algorithm have been discussed. These techniques are mathematically modeled and presented in such a way that the appropriate application could be chosen. A comparative table is presented at the end of the paper to simplify the classification of the different techniques.
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基于智能预测的光伏电力跟踪技术
近年来,光伏发电输出预测变得越来越重要。光伏发电完全取决于太阳能电池的工作条件,这与天气直接相关。因此,为了使系统输出最大功率,已经引入了许多最大功率点跟踪(MPPT)技术,但本文讨论了具有智能算法的最大功率点跟踪技术。这些技术在数学上建模,并以一种可以选择适当应用程序的方式呈现。为了简化不同技术的分类,本文最后给出了一个比较表。
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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