Accelerating Convergence for the Parameters of PV Cell Models

L. Jäntschi, M. Louzazni
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Abstract

Small-scale photovoltaic (PV) systems are essential for the local energy supply. The most commonly known PV cell is configured as a large-area p–n junction made from silicon, but PV systems today include PV cells of various manufactures and origins. The dependence relationship between current and voltage is nonlinear, known as the current–voltage characteristic. The values of the characteristic equation’s parameters define the working regime of the PV cell. In the present work, the parameter values are iteratively obtained by nonlinear regression for an explicit model. The acceleration of the convergence of these values is studied for an approximation simplifying the iterative calculation in the case of perpendicular offsets. The new estimations of parameters allow for a much faster estimate of the maximum power point of the PV system.
加快光伏电池模型参数的收敛速度
小型光伏(PV)系统对当地能源供应至关重要。最常见的光伏电池是由硅制成的大面积 p-n 结,但如今的光伏系统包括各种制造和来源的光伏电池。电流和电压之间的依赖关系是非线性的,称为电流-电压特性。特性方程的参数值决定了光伏电池的工作状态。在本研究中,参数值是通过显式模型的非线性回归迭代获得的。在垂直偏移的情况下,对简化迭代计算的近似值进行了研究,以加速这些值的收敛。通过新的参数估计,可以更快地估算出光伏系统的最大功率点。
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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