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    A Novel MPPT Method Based on Inflection Voltages
    (Elsevier Sci Ltd, 2020) Kesilmis, Zehan; Karabacak, Mustafa Alpaslan; Aksoy, Murat
    This study presents a novel maximum power point tracking method named inflection voltage method for photovoltaic systems. Inflection voltage method aims to find the global maximum power point using inflection voltages. It is known that multiple peaks occur in the power/voltage curves of photovoltaic arrays under partial shading conditions. Traditional methods such as perturb and observe and fractional open circuit voltage methods cannot perform MPPT with high performance in case of partial shading conditions. The inflection voltage method provides solutions to the problems of algorithms like fractional open circuit voltage and perturb and observe, such as failure to work under partial shading conditions and oscillation of output power. The success of inflection voltage method was tested first in the PSIM environment and then in the experimental setup developed. Computer simulations and experimental results showed that the proposed algorithm outperforms both fractional open circuit voltage, perturb and observe, particle swarm optimization under different partial shading conditions. (C) 2020 Elsevier Ltd. All rights reserved.
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    Öğe
    A novel two-stage MPPT method based on inflection voltages
    (Taylor & Francis Inc, 2022) Karabacak, Mustafa Alpaslan; Kesilmis, Zehan; Aksoy, Murat
    The electrical characteristic of a photovoltaic system is directly dependent on atmospheric conditions such as temperature, solar insolation, and even shading conditions. Hence, utilizing a maximum power point tracking hardware with a fast and accurate algorithm is crucial to obtaining the highest possible photovoltaic power. Several algorithms have been proposed in the literature to obtain maximum photovoltaic power, such as particle swarm optimization and perturb & observe variants. However, these algorithms provide less performance than optimal under partial shading. This study proposes a novel two-stage maximum power point tracking algorithm that equipped inflection voltages method and conventional perturb & observe algorithms. The proposed algorithm displays superior properties of both the inflection voltages method and the perturb & observe algorithms, such as predicting the location of maximum power points and high-speed climbing to these power points. A set of computer simulations are conducted in the PSIM environment to compare the performance of the proposed algorithm with particle swarm optimization, perturb & observe, and inflection voltages algorithms. Furthermore, a DC/DC converter-based experimental setup was produced and connected to a BK precision solar array simulator for experimental verification. The analysis results have shown that the proposed algorithm outperforms perturb & observe, inflection voltages, and particle swarm optimization methods in convergence speed and rate. Experimental and simulation results also show that the proposed algorithm successfully tracks the maximum peak in uniform and non-uniform irradiance conditions when others fail occasionally. On top of that, over 99% tracking efficiency is achieved, and the convergence time is also under 1 second.