Implementation of the Bio-Inspired Metaheuristic Firefly Algorithm (FA) Applied to Maximum Power Point Tracking of Photovoltaic Systems

Rodrigo Bairros Watanabe, Oswaldo Hideo Ando Junior, Paulo Gabriel Martins Leandro, Fabiano Salvadori, Marlon Felipe Beck, Katiane Pereira, Marcelo Henrique Manzque Brandt and Fernando Marcos de Oliveira
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Rodrigo Bairros Watanabe: University Center Dynamics of the Cataratas (UDC), Foz do Iguaçu 85867-000, PR, Brazil
Oswaldo Hideo Ando Junior: Smart Grid Laboratory (LREI), Center for Alternative and Renewable Research (CEAR), Federal University of Paraiba (UFPB), João Pessoa 58051-900, PB, Brazil
Paulo Gabriel Martins Leandro: Smart Grid Laboratory (LREI), Center for Alternative and Renewable Research (CEAR), Federal University of Paraiba (UFPB), João Pessoa 58051-900, PB, Brazil
Fabiano Salvadori: Smart Grid Laboratory (LREI), Center for Alternative and Renewable Research (CEAR), Federal University of Paraiba (UFPB), João Pessoa 58051-900, PB, Brazil
Marlon Felipe Beck: University Center Dynamics of the Cataratas (UDC), Foz do Iguaçu 85867-000, PR, Brazil
Katiane Pereira: University Center Dynamics of the Cataratas (UDC), Foz do Iguaçu 85867-000, PR, Brazil
Marcelo Henrique Manzque Brandt: University Center Dynamics of the Cataratas (UDC), Foz do Iguaçu 85867-000, PR, Brazil
Fernando Marcos de Oliveira: University Center Dynamics of the Cataratas (UDC), Foz do Iguaçu 85867-000, PR, Brazil

Energies, 2022, vol. 15, issue 15, 1-15

Abstract: In this paper, an algorithm for the maximum extraction of energy generated by photovoltaic (PV) systems was presented. The tracking of the global maximum point of the system is complex due to the non-linearity of the current-voltage (I-V) characteristic curve of the photovoltaic modules, as they vary according to the temperature and solar irradiation in the module. To obtain the best energy efficiency in these systems, it is important that the generation is delivering the maximum power available through the arrangement. In order to solve such problems, in this work an efficient MPPT-FA method was proposed, which showed good traceability when compared to traditional methods. Most traditional MPPT techniques are not able to find the global maximum point to extract the maximum power provided by the PV system. Finally, the Firefly Metaheuristic MPPT method proved to be robust against several partial shading scenarios. Simulations were presented to demonstrate the effectiveness of the proposal when compared to the traditional MPPT-PO method.

Keywords: MPPT; photovoltaic system; metaeuristic algorithms; firefly (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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