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Marine predators algorithm for parameters estimation of photovoltaic modules considering various weather conditions
Neural Computing and Applications ( IF 6 ) Pub Date : 2021-03-17 , DOI: 10.1007/s00521-021-05822-0
Montaser Abd El Sattar , Ameena Al Sumaiti , Hamdi Ali , Ahmed A. Zaki Diab

The accurate models of photovoltaic systems are the core of solar energy studies that are describing the system performance and behavior under different operating conditions. The improving of photovoltaic models based on optimizing method is recently the main simulation tool to construct I-V and P–V characteristic curves with the aid of system parameters. These parameters are extracted by using powerful optimal techniques that are building-up from datasheet of manufacturers or experimental data. This paper presents a novel proposed photovoltaic model based on Marine Predators Algorithm to estimate the optimal model parameters of solar cells or modules. Also, it can extract parameters of single diode, double diode and three diode models. Moreover, the Route Mean Square Error value between each model computed parameters and measured results of photovoltaic components are considered as the objective function. R.T.C. France Solar Cell, Photowatt-PWP201 and thin-film photovoltaic modules have been implemented to extract parameters for all three previously mentioned models at different irradiance intensities or temperature degrees. The proposed algorithm results of such cells and modules for each diode model are compared with other research works and manufacturer's results. Moreover, the evaluation of proposed algorithm has been presented considering the complexity analysis and statistical tests. The compared results show that, the accuracy of algorithm results is the best and their I-V and P–V characteristic curves are highly coinciding with manufacturer's curves. Therefore, the results of the proposed algorithm are satisfied with high superiority and better reliability to optimize parameters under different operating conditions.



中文翻译:

考虑各种天气条件的光伏模块参数估计的海洋捕食者算法

光伏系统的准确模型是太阳能研究的核心,它们描述了不同操作条件下的系统性能和行为。基于优化方法的光伏模型的改进是最近借助系统参数构造IV和P–V特性曲线的主要仿真工具。这些参数是使用强大的最佳技术提取的,这些最佳技术是从制造商的数据表或实验数据中建立的。本文提出了一种基于海洋捕食者算法的新型光伏模型,用于估计太阳能电池或组件的最佳模型参数。此外,它还可以提取单二极管,双二极管和三个二极管模型的参数。而且,每个模型计算的参数与光伏组件的测量结果之间的路径均方误差值被视为目标函数。已实施RTC France太阳能电池,Photowatt-PWP201和薄膜光伏模块,以提取所有上述三个模型在不同辐照强度或温度下的参数。将针对每个二极管模型的此类单元和模块的拟议算法结果与其他研究工作和制造商的结果进行了比较。此外,考虑到复杂性分析和统计测试,提出了所提出算法的评估方法。比较结果表明,算法结果的准确性最高,其IV和P–V特性曲线与制造商的曲线高度吻合。所以,

更新日期:2021-03-17
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