Reconfiguration of photovoltaic arrays based on genetic algorithm

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...

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Main Authors: Fabio Andrés Ramírez-Quiroz, Daniel González-Montoya, Freddy Bolaños-Martínez, Carlos Andrés Ramos-Paja, Juan Ramón Camarillo-Peñaranda
Format: Article
Language:English
Published: Universidad de Antioquia 2015-05-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/21178
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author Fabio Andrés Ramírez-Quiroz
Daniel González-Montoya
Freddy Bolaños-Martínez
Carlos Andrés Ramos-Paja
Juan Ramón Camarillo-Peñaranda
author_facet Fabio Andrés Ramírez-Quiroz
Daniel González-Montoya
Freddy Bolaños-Martínez
Carlos Andrés Ramos-Paja
Juan Ramón Camarillo-Peñaranda
author_sort Fabio Andrés Ramírez-Quiroz
collection DOAJ
description 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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spelling doaj.art-b54e17148a544a2a874aaf4d0f6828e02023-03-23T12:31:11ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442015-05-017510.17533/udea.redin.n75a10Reconfiguration of photovoltaic arrays based on genetic algorithmFabio Andrés Ramírez-Quiroz0Daniel González-Montoya1Freddy Bolaños-Martínez2Carlos Andrés Ramos-Paja3Juan Ramón Camarillo-Peñaranda4National University of ColombiaNational University of ColombiaNational University of ColombiaNational University of ColombiaNational University of Colombia 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. https://revistas.udea.edu.co/index.php/ingenieria/article/view/21178genetic algorithmonline optimization reconfiguration of PV systems
spellingShingle Fabio Andrés Ramírez-Quiroz
Daniel González-Montoya
Freddy Bolaños-Martínez
Carlos Andrés Ramos-Paja
Juan Ramón Camarillo-Peñaranda
Reconfiguration of photovoltaic arrays based on genetic algorithm
Revista Facultad de Ingeniería Universidad de Antioquia
genetic algorithm
online optimization
reconfiguration of PV systems
title Reconfiguration of photovoltaic arrays based on genetic algorithm
title_full Reconfiguration of photovoltaic arrays based on genetic algorithm
title_fullStr Reconfiguration of photovoltaic arrays based on genetic algorithm
title_full_unstemmed Reconfiguration of photovoltaic arrays based on genetic algorithm
title_short Reconfiguration of photovoltaic arrays based on genetic algorithm
title_sort reconfiguration of photovoltaic arrays based on genetic algorithm
topic genetic algorithm
online optimization
reconfiguration of PV systems
url https://revistas.udea.edu.co/index.php/ingenieria/article/view/21178
work_keys_str_mv AT fabioandresramirezquiroz reconfigurationofphotovoltaicarraysbasedongeneticalgorithm
AT danielgonzalezmontoya reconfigurationofphotovoltaicarraysbasedongeneticalgorithm
AT freddybolanosmartinez reconfigurationofphotovoltaicarraysbasedongeneticalgorithm
AT carlosandresramospaja reconfigurationofphotovoltaicarraysbasedongeneticalgorithm
AT juanramoncamarillopenaranda reconfigurationofphotovoltaicarraysbasedongeneticalgorithm