| Revue: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560354 |
| ISSN: | 1405-5546 |
| Autores: | Osuna Enciso, Valentín1 Espinoza Haro, J. Israel1 Oliva, Diego2 Hernández Ahuactzi, Irán F.1 |
| Instituciones: | 1Universidad de Guadalajara, Centro Universitario de Tonala, México 2Universidad de Guadalajara, Centro Universitario de Ciencias Exactas e Ingenierías, México |
| Año: | 2018 |
| Periodo: | Jul-Sep |
| Volumen: | 22 |
| Número: | 3 |
| Paginación: | 929-941 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | The Wind Farm Layout Problem (WFLP) consists in the placement of eolic generators (either in a grid, or at any position) into a delimited terrain. Several factors are taken into account to solve the WFLP, which include produced energy, costs - environmental, installation, maintenance, etc-, average useful life of turbines, among other. Likewise, optimization techniques involve the use of one or more objective functions, considering traditional as well as evolutionary approaches. Differential Evolution (DE) is an algorithm proposed for global optimization, whose operators are both simple to program and to utilize, still providing good convergence properties. The original authors of DE suggested its first five variants, which are: best/1/bin, best/2/bin, current − to − best/1/bin, rand/1/bin, and rand/2/bin. In this article it is proposed the comparison of five DE variants when they are used to solve 25 different instances of the WFLP; experimental results show that DE/best/1/bin outperforms the remaining algorithms in terms of convergence velocity as well as in the quality of the obtained wind-farm. |
| Disciplinas: | Ingeniería |
| Palabras clave: | Ingeniería de energéticos |
| Keyword: | Evolutionary algorithm, Differential evolution, Optimization, Wind farm layout problem, Energy engineering |
| Texte intégral: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
