Reconfiguration of photovoltaic arrays based on genetic algorithm
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad de Antioquia
2015
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| author | Juan Ramón Camarillo-Peñaranda |
| author_facet | Juan Ramón Camarillo-Peñaranda |
| contents | Reconfiguration of photovoltaic arrays based on genetic algorithm Juan Ramón Camarillo-Peñaranda Fabio Andrés Ramírez-Quiroz Daniel González-Montoya Freddy Bolaños-Martínez Carlos Andrés Ramos-Paja Ingeniería genetic algorithm online optimization Reconfiguration of PV systems This paper describes a Genetic Algorithm (GA) implementation devoted to the calculation of reconfiguration patterns for Photovoltaic Arrays (PVs). The proposed solution is compared with the classical Brute Force (BF) approach, which use is very restrictive due to its long processing times. The GA tuning up process is 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. 2015 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43038630010 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.75 |
| format | Artículo científico |
| id | redalyc_43038630010 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidad de Antioquia |
| spellingShingle | Reconfiguration of photovoltaic arrays based on genetic algorithm Juan Ramón Camarillo-Peñaranda Ingeniería genetic algorithm online optimization Reconfiguration of PV systems Reconfiguration of photovoltaic arrays based on genetic algorithm Juan Ramón Camarillo-Peñaranda Fabio Andrés Ramírez-Quiroz Daniel González-Montoya Freddy Bolaños-Martínez Carlos Andrés Ramos-Paja Ingeniería genetic algorithm online optimization Reconfiguration of PV systems This paper describes a Genetic Algorithm (GA) implementation devoted to the calculation of reconfiguration patterns for Photovoltaic Arrays (PVs). The proposed solution is compared with the classical Brute Force (BF) approach, which use is very restrictive due to its long processing times. The GA tuning up process is 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. 2015 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43038630010 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.75 |
| title | Reconfiguration of photovoltaic arrays based on genetic algorithm |
| topic | Ingeniería genetic algorithm online optimization Reconfiguration of PV systems |
| url | https://www.redalyc.org/articulo.oa?id=43038630010 |