Reconfiguration of photovoltaic arrays based on genetic algorithm

Keywords: Reconfiguration of PV systems, genetic algorithm, online optimization


This paper describes a Genetic Algorithm (GA) implementation devoted to the calculation of reconfiguration patterns for Photovoltaic Arrays (PVs). The proposed solution is compared to the classical Brute Force (BF) approach, whose use is very restrictive, because of its quite poor performance. The GA tuning up process is briefly described, and several cases of study, including partial shading profiles for the PV array, are presented. Results show a very superior performance of the GA, when compared to the BF approach. Improvements in output power, as a result of the calculated reconfiguration, are also shown.

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Author Biographies

Fabio Andrés Ramírez Quiroz, Universidad Nacional de Colombia

Joven Investigador, Departamento de Energía Eléctrica y Automática.

Sede Medellín

Daniel Gonzalez Montoya, Universidad Nacional de Colombia

Líder de la línea de investigación Electrónica y Comunicaciones, Departamento de Energía Eléctrica y Automática.

Sede Medellín.


Freddy Bolaños Martínez, Universidad Nacional de Colombia,

Profesor Asistente, Departamento de Energía Eléctrica y Automática

Sede Medellín.

Carlos Andrés Ramos Paja, Universidad Nacional de Colombia

Profesor Asistente, Departamento de Energía Eléctrica y Automática. 

Sede Medellín

Juan Ramón Camarillo Peñaranda, Universidad Nacional de Colombia

Profesor titular, Departamento de Energía Eléctrica y Automática.

Sede Medellín


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How to Cite
Ramírez Quiroz F. A., Gonzalez Montoya D., Bolaños Martínez F., Ramos Paja C. A., & Camarillo Peñaranda J. R. (2015). Reconfiguration of photovoltaic arrays based on genetic algorithm. Revista Facultad De Ingeniería Universidad De Antioquia, (75), 95-107.