ANFIS Model to Calculate Open Circuit Voltage and Maximum Power Voltage to Effectively Emulate the Electrical Characteristics of Four Photovoltaic Technologies

IF 1.204 Q3 Energy Applied Solar Energy Pub Date : 2024-03-23 DOI:10.3103/S0003701X22600771
B. Bouachrine, M. Oubella, K. Dahmane, M. Ajaamoum
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Abstract

The aim of this work is to develop a neuro-fuzzy model (ANFIS) for the calculation of the open circuit voltage and the maximum power voltage of photovoltaic generators of four types of technologies. The technologies studied are amorphous/microcrystalline, cadmium telluride, copper indium di-selenium, and monocrystalline silicon. In order to evaluate the performance of the proposed ANFIS model, we compared the electrical characteristics determined using the ANFIS system to the electrical characteristics obtained using a system of analytical equations developed by smoothing the experimental measurements. For the experimental validation of our research work, we used an experimental database from the station located at Green Energie Park in Bengrire Morocco, The Green Energy Park is a solar energy test, research and training platform located in the green city of BenGuerir in Morocco. It was developed by the Institute for Research in Solar Energy and New Energies (IRESEN) with the support of the Ministry of Energy, Mines, Water and the Environment as well as the OCP Group. This first platform in Africa, a unique model of its kind, allows on the one hand, the creation of synergies and the pooling of research infrastructures to create a critical mass and achieve excellence, and on the other hand the acquisition of knowledge and know-how by the various partner universities as well as the industrialists. The comparison results show that the proposed ANFIS model is more accurate than the analytical model and allows to better emulate the electrical characteristics of the studied photovoltaic generators. The performance of the ANFIS model is evaluated using various performance metrics, such as mean absolute error, root mean squared error, and correlation coefficient. The results show that the proposed ANFIS model is capable of accurately predicting the open-circuit voltage and the maximum power voltage of the four PV technologies. The model can be used as an effective tool for designing and optimizing photovoltaic systems that incorporate these technologies.

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计算开路电压和最大功率电压以有效模拟四种光伏技术电气特性的 ANFIS 模型
摘要 本研究旨在开发一种神经模糊模型(ANFIS),用于计算四种技术的光伏发电机的开路电压和最大功率电压。所研究的技术包括非晶/微晶、碲化镉、铜铟二硒和单晶硅。为了评估所提出的 ANFIS 模型的性能,我们将使用 ANFIS 系统确定的电气特性与使用通过平滑实验测量结果而开发的分析方程系统获得的电气特性进行了比较。为了对我们的研究工作进行实验验证,我们使用了位于摩洛哥本格勒绿色能源园的实验站的实验数据库。它是由太阳能和新能源研究所(IRESEN)在摩洛哥能源、矿产、水和环境部以及 OCP 集团的支持下开发的。这是非洲的第一个平台,也是同类平台中的一个独特模式,一方面可以发挥协同作用,汇集研究基础设施,形成临界质量,实现卓越;另一方面,各合作大学和工业家也可以获得知识和专门技能。比较结果表明,所提出的 ANFIS 模型比分析模型更加精确,能够更好地模拟所研究的光伏发电机的电气特性。ANFIS 模型的性能使用各种性能指标进行评估,如平均绝对误差、均方根误差和相关系数。结果表明,所提出的 ANFIS 模型能够准确预测四种光伏技术的开路电压和最大功率电压。该模型可作为设计和优化采用这些技术的光伏系统的有效工具。
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来源期刊
Applied Solar Energy
Applied Solar Energy Energy-Renewable Energy, Sustainability and the Environment
CiteScore
2.50
自引率
0.00%
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0
期刊介绍: Applied Solar Energy  is an international peer reviewed journal covers various topics of research and development studies on solar energy conversion and use: photovoltaics, thermophotovoltaics, water heaters, passive solar heating systems, drying of agricultural production, water desalination, solar radiation condensers, operation of Big Solar Oven, combined use of solar energy and traditional energy sources, new semiconductors for solar cells and thermophotovoltaic system photocells, engines for autonomous solar stations.
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