Design and construction of a fuzzy logic solar tracker prototype for the optimization of a photovoltaic system
Abstract
In this article, a fuzzy logic solar tracker was designed and implemented to increase the efficiency of a photovoltaic system by updating the position of the panel throughout the day for optimal use of solar radiation. In the design and implementation of the solar tracker, different control strategies were analyzed, concluding that the fuzzy control satisfies all the requirements of the photovoltaic system with a solar tracker, the developed prototype underwent different tests in a determined period of time to validate the performance of the solar tracker. system compared to one with a fixed position, achieving an increase of 40% compared to fixed solar systems.
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References
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[10] A. Bahrami, C. Onyeka Okoye, “The performance and ranking pattern of PV systems incorporated with solar trackers in the northern hemisphere, Renewable and Sustainable Energy Reviews”, Volume 97, 2018, Pages 138-151, ISSN 1364-0321,
https://doi.org/10.1016/j.rser.2018.08.035.
[11] A. -T. Nguyen, T. Taniguchi, L. Eciolaza, V. Campos, R. Palhares and M. Sugeno, "Fuzzy Control Systems: Past, Present and Future," in IEEE Computational Intelligence Magazine, vol. 14, no. 1, pp. 56-68, Feb. 2019, doi: 10.1109/MCI.2018.2881644.
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[13] O. Beltrán González, and J. Hernández Aguilar, “Design of a control system for a solar tracker implementing fuzzy logic in arduino”, Bachelor's thesis, Electrical Engineering Academic Unit Autonomous University of Zacatecas, Mexico 2015.
[2] M. Quijano and G. González, "Study of the Penetration of Photovoltaic Energy at the Self-consumption Customer Level using the IEEE 13-Node Test Feeder adapted to Panama," 2022 IEEE 40th Central America and Panama Convention (CONCAPAN), Panama, Panama, 2022, pp. 1-5, doi: 10.1109/CONCAPAN48024.2022.9997607.
[3] J. N. Maciel, J. Javier Giménez Ledesma and O. Hideo Ando Junior, "Forecasting Solar Power Output Generation: A Systematic Review with the Proknow-C," in IEEE Latin America Transactions, vol. 19, no. 4, pp. 612-624, April 2021, doi: 10.1109/TLA.2021.9448544.
[4] L. H. Vera, M. Cáceres, A. Firman, R. Gonzales Mayans and A. Busso, "Diseño y simulación de microrred híbrida aislada," 2022 IEEE Biennial Congress of Argentina (ARGENCON), San Juan, Argentina, 2022, pp. 1-7, doi: 10.1109/ARGENCON55245.2022.9939734.
[5] F. R. Riccio Anastacio, Seguidor solar a dos ejes cuya posición se calcula utilizando los ángulos de elevación y Azimut del sol en Guayaquil, RECIMUNDO, vol. 6, n.º 1, pp. 225-231, feb. 2022.
[6] E. Chacón-Pinzón, D. Arenas, y B. J. Parra, «Revisión del estado actual de los Sistemas de Energía Fotovoltaico», rinte, vol. 11, jul. 2021.
[7] J. M. Rey et al., "A Review of Microgrids in Latin America: Laboratories and Test Systems," in IEEE Latin America Transactions, vol. 20, no. 6, pp. 1000-1011, June 2022, doi: 10.1109/TLA.2022.9757743.
[8] A. -H. I. Mourad, H. Shareef, N. Ameen, A. H. Alhammadi, M. Iratni and A. S. Alkaabi, "A state-of-the-art review: Solar trackers," 2022 Advances in Science and Engineering Technology International Conferences (ASET), Dubai, United Arab Emirates, 2022, pp. 1-5, doi: 10.1109/ASET53988.2022.9735074.
[9] A.Z. Hafez, A.M. Yousef, N.M. Harag, “Solar tracking systems: Technologies and trackers drive types – A review, Renewable and Sustainable Energy Reviews”,
Volume 91, 2018, Pages 754-782, ISSN 1364-0321, https://doi.org/10.1016/j.rser.2018.03.094.
[10] A. Bahrami, C. Onyeka Okoye, “The performance and ranking pattern of PV systems incorporated with solar trackers in the northern hemisphere, Renewable and Sustainable Energy Reviews”, Volume 97, 2018, Pages 138-151, ISSN 1364-0321,
https://doi.org/10.1016/j.rser.2018.08.035.
[11] A. -T. Nguyen, T. Taniguchi, L. Eciolaza, V. Campos, R. Palhares and M. Sugeno, "Fuzzy Control Systems: Past, Present and Future," in IEEE Computational Intelligence Magazine, vol. 14, no. 1, pp. 56-68, Feb. 2019, doi: 10.1109/MCI.2018.2881644.
[12] Y. Hong, Hans J. Pasman, N. Quddus, M. Sam Mannan, “Supporting risk management decision making by converting linguistic graded qualitative risk matrices through interval type-2 fuzzy sets, Process Safety and Environmental Protection”, Volume 134, 2020, Pages 308-322, ISSN 0957-5820, https://doi.org/10.1016/j.psep.2019.12.001.
[13] O. Beltrán González, and J. Hernández Aguilar, “Design of a control system for a solar tracker implementing fuzzy logic in arduino”, Bachelor's thesis, Electrical Engineering Academic Unit Autonomous University of Zacatecas, Mexico 2015.
Published
2023-04-29
How to Cite
González, O., Aguilar, J., Monteagudo, F., Varela, R., Telles, A., & Rivas, C. (2023). Design and construction of a fuzzy logic solar tracker prototype for the optimization of a photovoltaic system. ITEGAM-JETIA, 9(40), 39-50. https://doi.org/10.5935/jetia.v9i40.857
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