基于梯度迭代的光伏电池模型参数辨识

Yan Ji, Jinde Cao
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引用次数: 0

摘要

本文研究了光伏电池模型的参数估计问题。引入梯度搜索原理,推导了一种基于梯度的PV模型确定迭代算法。该算法实现了光伏模型的单二极管等效电路的参数估计。为了提高计算效率,提出了一种基于模型变换的迭代方法。仿真实验结果表明,基于梯度的迭代算法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parameters identification of photovoltaic cell models using the gradient iterative
This article studies the parameter estimation to the photovoltaic cell (PV) models. Introducing the gradient search principle, a gradient-based iterative algorithm is derived to determine PV models. This proposed algorithm implements the parameter estimation for the single-diode equivalent circuit of the PV models. Furthermore, to enhance computational efficiency, a model transformation-based iterative method is proposed. Finally, the simulation test results indicate that the gradient-based iterative algorithm is effective.
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