Comparative Analysis of Robustness and Tracking Efficiency of Maximum Power Point in Photovoltaic Generators, Using Estimation of the Maximum Power Point Resistance by Irradiance Measurement Processing
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Abstract
The model-based methods of maximum power point (MPP) tracking in photovoltaic
installations are widely known. One of these methods proposes the use of tracking by direct
estimation of the maximum power point resistance using irradiance measurement processing.
It proposes six different models for this estimate. In the present work, an exhaustive analysis to
determine the robustness and accuracy of the different models was carried out. To perform the
analysis, irradiance data sets, used to fit the parameters of the models, were collected. In addition,
tests were done to determine MPP tracking accuracy of each of the six models. To carry out the tests,
all models were compared with a widely used maximum power point tracking algorithm, perturb &
observe, for different values of irradiance, temperature, and load.
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Bibliographic citation
Ríos Gutiérrez, J., Enrique Gómez, J. M., Barragán Piña, A. J. & Andújar Márquez, J. M. (2020). Comparative Analysis of Robustness and Tracking Efficiency of Maximum Power Point in Photovoltaic Generators, Using Estimation of the Maximum Power Point Resistance by Irradiance Measurement Processing. Sensors, 20(24), 7247. DOI: https://doi.org/10.3390/s20247247














