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A distributed hybrid controller for photovoltaic panel under partial shading effect

Author(s): Mohcine Mokhlis a*, Mohammed Ferfraa, Ahmed Abboua, Mohammed

Chrayganeb
a Department of Electrical Engineering Research team in power and control EMI, Mohamed V University, Rabat, Morocco
b Department MSTI Laboratory - Research Team ESTA, Technology higher School Agadir, Ibn Zohr University, Agadir, Morocco
International Journal of Smart Grid and Clean Energy, vol. 9, no. 2, March 2020: pp. 366-374
ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.9.2.366-374
Abstract: In this paper, a novel method of maximum power point tracking has been proposed. The Artificial neuronal network (ANN) was used to generate the reference of optimal voltage. While, the Integral feedback linearization controller was designed to pursue the reference voltage generated by the ANN controller. The integral action was introduced to ensure a zero-static error. In addition, to avoid the problems of mismatching and non-uniform solar insolation, each DC/DC converter has been integrated with each photovoltaic module. This topology is called Distributed Maximum Power Point (DMPPT). The tracking performances of the proposed method were tested and validated on the MATLAB/Simulink environment.
Keywords: Artificial neural network, DMPPT topology, integral feedback linearization, partial shading Effect, PV panel
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Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
 

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