PV Array Reconfiguration Based on Genetic Algorithm for Maximum Power Extraction and Energy Impact Analysis

Mariana Durango-Flórez, Daniel González-Montoya, Luz Adriana Trejos-Grisales and Carlos Andres Ramos-Paja
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Mariana Durango-Flórez: Departamento de Electrónica y Telecomunicaciones, Instituto Tecnológico Metropolitano, Medellín 050012, Colombia
Daniel González-Montoya: Departamento de Electrónica y Telecomunicaciones, Instituto Tecnológico Metropolitano, Medellín 050012, Colombia
Luz Adriana Trejos-Grisales: Departamento de Electromecánica y Mecatrónica, Instituto Tecnológico Metropolitano, Medellín 050012, Colombia
Carlos Andres Ramos-Paja: Facultad de Minas, Universidad Nacional de Colombia, Medellín 050036, Colombia

Sustainability, 2022, vol. 14, issue 7, 1-14

Abstract: Reconfiguration of PV arrays is one of the most suitable options to face issues affecting the power produced by panels, such as partial shading. This paper presents a reconfiguration procedure based on a genetic algorithm. The execution times obtained with the proposed approach validate its good performance compared with a traditional brute force algorithm. Finally, different shading patterns are considered in the simulations.

Keywords: PV reconfiguration; partial shading; genetic algorithm; modeling; optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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