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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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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