Abstract
Maximizing power generation of renewable energy sources has to do with less primary energy to obtain more power out of the natural potentials. This maximization follows a common characteristic shape to almost all of them regardless of the source, that is, in all cases, the power has a maximum generation point with respect to a set of variables. Such variables refer to the physicochemical quantities governing the power system such as: voltage, current, temperature, humidity, pressure, fluid velocity, chemical reactions. To keep the power conversion always operating at the maximum point, one has to use some tracking algorithm. This paper aims to show similarities in behavior, readings and variable calculations when applying any P&O algorithm of maximum power point tracking for different energy systems, such as fuel cells, photovoltaic panels, planar concentrators and heat exchangers. The results show that the energy density curves, or power, can express all systems studied so far. In particular, power maximization of electrical power sources needs to read current and voltage, and heat exchangers to observe fluid flow and temperature variation.
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The authors thank the CEESP-UFSM by the technical cooperation, financial support and opportunity to do this work.
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Gonzatti, F., Kuhn, V.N., Miotto, M. et al. Distinct Renewable Energy Systems Maximized by P&O Algorithm. J Control Autom Electr Syst 27, 310–316 (2016). https://doi.org/10.1007/s40313-016-0235-5
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DOI: https://doi.org/10.1007/s40313-016-0235-5