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一种基于双二极管模型的高效光伏发电机性能建模的自适应方法。

An adaptable method for efficient modeling of photovoltaic generators' performance based on the double-diode model.

作者信息

Tifidat Kawtar, Maouhoub Noureddine, Ait Salah Fatima Ezzahra, Askar S S, Abouhawwash Mohamed

机构信息

Laboratory of Materials, Signals, Systems and Physical Modeling, Department of Physics, Faculty of Science, Ibn Zohr University, B.P.8106, 80000 Agadir, Morocco.

Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.

出版信息

Heliyon. 2024 Jul 2;10(13):e33946. doi: 10.1016/j.heliyon.2024.e33946. eCollection 2024 Jul 15.

DOI:10.1016/j.heliyon.2024.e33946
PMID:39055853
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11269853/
Abstract

The aim of this study is to establish an effective modeling technique for simulating the performance of photovoltaic modules by calculating their electrical parameters based on the two-diode model. The suggested methodology involves reducing the scope of the study from seven unknown parameters to only three, and that without resorting to any approximations. The first four parameters are calculated analytically based on the data representing the crucial positions on the current-voltage graph and using a new expression of the fill-factor derived from the two-diode equivalent circuit. The remaining parameters are established numerically based on a simple iterative technique adaptable with two sites of data availability. The photovoltaic modeling begins by utilizing the values of key-points. Subsequently, to ensure the proposed approach's adaptability to various scenarios of available information about PV generators, it is invested and applied for an optimization process. The accuracy is evaluated for diverse types of photovoltaic modules, and the results are weighed against widely reviewed numerical methods and evolutionary optimization algorithms in the literature. As a result, the new method demonstrates superior performance, yielding the smallest values for the utilized statistical indicators and reducing compilation time. These findings underscore its flexibility and high efficiency in simulating photovoltaic devices.

摘要

本研究的目的是建立一种有效的建模技术,通过基于双二极管模型计算光伏模块的电参数来模拟其性能。所建议的方法包括将研究范围从七个未知参数减少到仅三个,且无需借助任何近似方法。前四个参数是根据代表电流-电压图上关键位置的数据,并使用从双二极管等效电路导出的填充因子的新表达式进行解析计算的。其余参数基于一种适用于两个数据可用站点的简单迭代技术进行数值确定。光伏建模从利用关键点的值开始。随后,为确保所提出的方法适用于关于光伏发电机的各种可用信息场景,对其进行研究并应用于优化过程。对不同类型的光伏模块评估其准确性,并将结果与文献中广泛综述的数值方法和进化优化算法进行权衡比较。结果,新方法表现出卓越的性能,在所使用的统计指标方面产生最小值并减少编译时间。这些发现强调了其在模拟光伏器件方面的灵活性和高效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/ac596741364a/gr12.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/a87157255ddd/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/089f335d6ba7/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/ac596741364a/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/bf16558f486e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/f2bdef36d471/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/0633027d96c7/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/482f8de87291/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/8888f68104ba/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/5402c7dd35f3/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/d1d93d028f20/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/202cae9f3934/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/3a1276a5f36d/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/a87157255ddd/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/089f335d6ba7/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/528b/11269853/ac596741364a/gr12.jpg

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本文引用的文献

1
A combination of Newton-Raphson method and heuristics algorithms for parameter estimation in photovoltaic modules.用于光伏模块参数估计的牛顿-拉夫逊方法与启发式算法相结合。
Heliyon. 2021 Apr 8;7(4):e06673. doi: 10.1016/j.heliyon.2021.e06673. eCollection 2021 Apr.