GA and PSO applied towind energy optimization

In this article we analyze two kinds of metaheuristic algorithms applied to wind farm optimization. The basic idea is to utilize CHC (a sort of GA) and GPSO (a sort of PSO) algorithms to obtain an acceptable configuration of wind turbines in the wind farm that maximizes the total output energy and...

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Detalles Bibliográficos
Autores principales: Alba, Enrique, Bilbao, Martín
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2009
Materias:
Ciencias Informáticas
CHC
geometric particle swarm optimization
Energía Eólica
Optimization
Heuristic methods
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/20883
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-20883
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
CHC
geometric particle swarm optimization
Energía Eólica
Optimization
Heuristic methods
spellingShingle Ciencias Informáticas
CHC
geometric particle swarm optimization
Energía Eólica
Optimization
Heuristic methods
Alba, Enrique
Bilbao, Martín
GA and PSO applied towind energy optimization
topic_facet Ciencias Informáticas
CHC
geometric particle swarm optimization
Energía Eólica
Optimization
Heuristic methods
description In this article we analyze two kinds of metaheuristic algorithms applied to wind farm optimization. The basic idea is to utilize CHC (a sort of GA) and GPSO (a sort of PSO) algorithms to obtain an acceptable configuration of wind turbines in the wind farm that maximizes the total output energy and minimize the number of wind turbines used. The energy produced depends of the farm geometry, wind conditions and the terrain where it is settled. In this work we will analyze three study farm scenarios with different wind speeds and we will apply both algorithms to analyze the performance of the algorithms and the behavior of the computed wind farm designs.
format Objeto de conferencia
Objeto de conferencia
author Alba, Enrique
Bilbao, Martín
author_facet Alba, Enrique
Bilbao, Martín
author_sort Alba, Enrique
title GA and PSO applied towind energy optimization
title_short GA and PSO applied towind energy optimization
title_full GA and PSO applied towind energy optimization
title_fullStr GA and PSO applied towind energy optimization
title_full_unstemmed GA and PSO applied towind energy optimization
title_sort ga and pso applied towind energy optimization
publishDate 2009
url http://sedici.unlp.edu.ar/handle/10915/20883
work_keys_str_mv AT albaenrique gaandpsoappliedtowindenergyoptimization
AT bilbaomartin gaandpsoappliedtowindenergyoptimization
bdutipo_str Repositorios
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