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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Format: | Article |
Language: | English |
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Universidad de Antioquia
2015-05-01
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Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
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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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first_indexed | 2024-04-09T22:09:54Z |
format | Article |
id | doaj.art-b54e17148a544a2a874aaf4d0f6828e0 |
institution | Directory Open Access Journal |
issn | 0120-6230 2422-2844 |
language | English |
last_indexed | 2024-04-09T22:09:54Z |
publishDate | 2015-05-01 |
publisher | Universidad de Antioquia |
record_format | Article |
series | Revista Facultad de Ingeniería Universidad de Antioquia |
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 |
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