Abstract
The objective of this work is to develop an adaptive neuro-fuzzy inference system (ANFIS) for the determination of the open circuit voltage and the maximum power voltage of a photovoltaic generator of the Amorphous/Microcrystalline type. In order to evaluate the performance of the proposed ANFIS system, we compared the results obtained using the ANFIS system to the results 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 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 generator.
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Acknowledgement
This work is funded and supported by the Moroccan Research Institute for Solar Energy and New Energies (IRESEN).
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Bouachrine, B., Kourchi, M., Yousfi, D., Dahmane, K., Oubella, M., Ajaamoum, M. (2021). Experimental Validation of a Neuro-Fuzzy Model of Open Circuit Voltage and Maximum Power Voltage Case of Amorphous Technology. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2021. Lecture Notes in Networks and Systems, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-030-73882-2_108
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DOI: https://doi.org/10.1007/978-3-030-73882-2_108
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