光伏板参数辨识的改进斜渐近线法

Chen Wei, Lim Li Hong Idris
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引用次数: 1

摘要

单二极管模型是光伏组件设计和分析中最重要和最广泛使用的工具。该模型有5个参数需要从I-V特征曲线中识别。然而,由于未知5个参数的I或V缺乏显式形式,参数辨识非常困难。本文讨论了光伏模型识别的最新研究进展,并利用MATLAB对一个实际光伏模块的实测数据进行了仿真。提出了一种改进的斜渐近线法,并与现有的辨识方法进行了比较。测试结果表明,该方法在I - V数据点知识较少的情况下获得了较低的均方根误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Oblique Asymptote Method for Parameter Identification of PV Panels
A single-diode model is the most important and broadly used tool for PV module design and analysis. The model has 5 parameters to be identified from the I-V characteristics curves. However, due to the lack of explicit form of I or V with the unknown 5 parameters, parameter identification is very difficult. Recent progress in PV model identification are discussed in this paper with the simulation of MATLAB against the measured data from a real PV module. An improved Oblique Asymptote Method is then proposed and compared with existing identification methods. Test results show that the proposed method achieves lower RMSE with less knowledge of I - V data points.
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