基于灰狼优化技术的光伏板参数估计

Cilina Touabi, H. Bentarzi
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引用次数: 1

摘要

在不同的光伏应用中,光伏电池的建模是非常重要的。但是,在制造商提供的数据表中通常无法获得模型参数,并且由于退化而发生变化。本文提出了一种确定光伏电池最优参数的方法。该方法是基于一个二极管模型,使用灰狼算法和数据表。在SIMULINK仿真器中实现了一种生成I-V和P-V特性的算法。这种方法因其简单、快速和准确而被发现对设计师很有用。最后的计算结果验证了所提方法的有效性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Photovoltaic Panel Parameters Estimation Using Grey Wolf Optimization Technique
In different photovoltaic PV applications, it is very important to model the PV cell. However, the model parameters are usually unavailable in the datasheet provided by the manufacturers and they change due to degradation. This paper presents a method for identifying the optimal parameters of a PV cell. This method is based on the one diode model using the grey wolf algorithm as well as datasheets. An algorithm is implemented in a SIMULINK simulator for making the I-V and P-V characteristics. This approach is found to be useful for designers due to its simplicity, fastness, and accuracy. The final results are compared to demonstrate the efficiency and accuracy of the proposed method.
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