一种简化有效的太阳能光伏系统GMPP跟踪算法

S. Agrawal, B. Tyagi, Vishal Kumar, P. Agarwal, P. Sharma
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引用次数: 1

摘要

针对部分遮阳条件下的太阳能光伏系统,提出了一种简化有效的GMPP跟踪方法。由于太阳辐射全天不断变化,也改变了光伏组件电压标尺上的最大功率点。因此,跟踪全局峰值对于有效地从光伏阵列中提取电力是非常重要的。该算法计算了不同时间不同太阳辐照度下所有可能最大值附近的不同占空比。然后选择接近当时可用的最大功率的占空比。在选定的占空比上应用扰动和观察(P&O)方法来实现GMPP。在不同的辐照度条件下进行了模拟研究。理想单二极管模型(ISDM)用于光伏(PV)的建模。为了验证该方法的有效性,将其与传统的摄动和观测方法(P&O)进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Simplified and Effective GMPP Tracking Algorithm for Solar Photovoltaic System
This paper offers a new simplified and effective Global Maxima PowerPoint (GMPP) tracking method for a solar photovoltaic system under partial shading conditions (PSC). Because the solar radiation changes continuously throughout the day, it also changes the maximum power point on the voltage scale of the photovoltaic module. Hence the tracking of the global peak is important for efficient power withdrawal from the PV Array. The proposed algorithm calculates the different duty cycles near to all possible maxima, which apply to different solar irradiance at different time. Then select a duty cycle near to the maximum power available at that time. The Perturb and Observe (P&O) approach is applied at the selected duty cycle to achieve GMPP. The simulation studies are performed for different conditions of irradiance. The ideal single-diode model (ISDM) is used for modeling the photovoltaic (PV). For the effectiveness of the proposed method, it is compared with the conventional Perturb and Observe (P&O) for the different PSCs.
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