Gauss-Seidel iteration based parameter estimation for a single diode model of a PV module

S. Shongwe, M. Hanif
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引用次数: 15

Abstract

Photovoltaic (PV) modeling plays a vital role in the estimation of the expected yield from a PV generation plant. The single diode model of a PV module requires estimation of 5 unknown parameters derived from the equivalent circuit using only the parameters extracted from datasheets as input. These parameters are used to evaluate the current and voltage from the module under varying conditions of temperature and irradiance. This paper presents the Gauss-Seidel method in a step by step manner to extract the 5 unknown STC parameters used in a single diode PV model with series and shunt resistances. These parameters are then used to plot the I-V characteristics of two PV modules, SQ80 and the GEPV110 under varying temperature and irradiance. Algorithm of the Matlab code used for implementation of the model is presented. The results are then verified by simulations using graphs extracted from the datasheet of the GEPV110 as well as plots from experimentally measured values for the SQ80 PV module.
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基于高斯-赛德尔迭代的光伏组件单二极管模型参数估计
光伏(PV)建模在光伏电站预期发电量的估算中起着至关重要的作用。光伏组件的单二极管模型需要估计来自等效电路的5个未知参数,仅使用从数据表中提取的参数作为输入。这些参数用于评估在不同温度和辐照度条件下模块产生的电流和电压。本文采用高斯-塞德尔方法逐级提取具有串联电阻和并联电阻的单二极管PV模型中的5个未知STC参数。然后使用这些参数绘制两个光伏组件SQ80和GEPV110在不同温度和辐照度下的I-V特性。给出了实现该模型的Matlab代码算法。然后通过使用从GEPV110数据表中提取的图形以及从SQ80 PV模块的实验测量值中提取的图形进行仿真验证结果。
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