Abstract
Renewable energy sources are essential for maintaining the electricity network and supporting disconnected loads when the electrical demand is rising quickly. There are several types of renewable energy, including solar, wind, and tidal power. Sun radiation reaches the Earth’s surface in huge quantities, making solar power a clean energy source. Maximizing the quantity of electrical power that can be extracted from the solar energy system is the goal of this article. The notion of MPPT methods, which considerably boost the efficiency of the solar PV system, is investigated in detail in this paper. To maximize the energy conversion efficiency of PV systems, this paper compares the two most prevalent algorithms, fuzzy logic, and P&O methodologies, using simulation based analysis. To determine the PV module properties, simulation analysis, and results are performed.
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References
Zahedi, A.: Solar photovoltaic (PV) energy; latest developments in the building-integrated and hybrid PV systems. Renew Energy 31(5), 711–718 (2006)
Youness, H., Ahmed, G., Haddadi, B.E.: Machine learning-based smart irrigation monitoring system for agriculture applications using free and low-cost IoT platform. In: ICM (2022). ieeexplore.ieee.org, https://ieeexplore.ieee.org/abstract/document/10005419/. Accessed 27 Jan 2023
Kan, J., Wu, Y., Tang, Y., Xie, S.: Flexible topology converter used in photovoltaic micro-inverter for higher weighted-efficiency. IET Power Electr 12(9), 2361–2371 (2019)
Qin, S., Barth, C.B., Pilawa-Podgurski, R.C.N.: Enhancing microinverter energy capture with submodule differential power processing. IEEE Trans. Power Electron 31(5), 3575–3583 (2016)
Kim, K.A., Krein, P.T., Seo, G.-S., Cho, B.-H.: Photovoltaic AC parameter characterization for dynamic partial shading and hot spot detection. In: Proceedings of the IEEE 28th Annual Applied Power Electronics Conference and Exposition, pp. 109–115 (2013)
Kim, N., Parkhideh, B.: Comparative analysis of non-isolated and isolated type partial-power optimizers for PV-battery series inverter architecture. In: 2018 IEEE Energy Conversion Congress and Exposition (ECCE), Portland, OR, 2018, pp. 6207–6213 (2018)
De Souza Silva, J.L., Moreia, H.S., de Mesquita, D.B., Cavalcante, M.M., Villalva, M.G.: Modular architecture with power optimizers for photovoltaic systems. In: 2019 International Conference on Smart Energy Systems and Technologies (SEST), Porto, Portugal, 2019, pp. 1–6 (2019)
Jena, P.K., Mohapatra, A., Choudhary, P.: Comparative study of solar PV MPPT by perturbation and observation and fuzzy method. In: 2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON), Varanasi, 2016, pp. 515–518 (2016)
Makhlouf, M., Messai, F., Nabti, K., Benalla, H.: Modeling and simulation of grid-connected photovoltaic distributed generation system. In: 1st International Conference on Renewable Energies & Vehicular Technology, 26–28 March 2012, pp. 187–193 (2012)
Tanvir, A., Sharmin, S., Faysal, N.: Comparative analysis between single diode and double diode model of PV cell: concentrate different parameters effect on its efficiency. J. Power Energy Eng. 4, 31–46 (2016)
Yang, B., Li, W., Zhao, Y., He, X.: Design and analysis of a grid-connected photovoltaic power system. IEEE Trans. Power Electron. 25(4), 992–1000 (2010)
Bakkar, M., Abdel-Geliel, M., Zied, M.A.: Photovoltaic maximum power point grid connected based on power conditioning technique employing fuzzy controller. Renew. Energy Power Qual. J. (RE&PQJ) 1(13), 339–344 (2015)
Hairul, N., Saad, M.: Comparison study of maximum power point tracker techniques for PV systems. In: Proceedings of the 14th International Middle East Power Systems Conference (MEPCON 2010), Cairo University, Egypt, 19–21 December 2010 (2010)
Elgendy, M., Zahawi, B., Atkinson, D.: Assessment of perturb and observe MPPT algorithm implementation techniques for PV pumping applications. IEEE Trans. Sustain. Energy 3(1), 21–33 (2012)
Sahnoun, M.A., et al.: Maximum power point tracking using P&O control optimized by a neural network approach: a good compromise between accuracy and complexity. Energy Procedia 42, 650–659 (2013)
Patel, G., Patel, D.B., Paghdal, K.M.: Analysis of P&O MPPT algorithm for PV system. Int. J. Electr. Electron Eng. (IJEEE) 5(6), 1–10 (2016)
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Ahessab, H., Hakam, Y., Gaga, A., El Hadadi, B. (2023). A Comparative Study of P&O and Fuzzy Logic MPPT Algorithms for a Photovoltaic Grid Connected Inverter System. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2023. Lecture Notes in Networks and Systems, vol 668. Springer, Cham. https://doi.org/10.1007/978-3-031-29857-8_65
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DOI: https://doi.org/10.1007/978-3-031-29857-8_65
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