Publicado

2013-01-01

Optimal Flood Control of a Hydroelectric Reservoir: a Genetic Algorithm Approach

Palabras clave:

Genetic algorithms, local search, flood control, reservoir (es)

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Autores/as

  • Jesus Maria Lopez Lezama Universidad de Antioquia
  • Victor Hugo Bedoya Restrepo XM - Compañía de Expertos en Mercados
Raining season in Colombia has caused negative effects on inhabitants, infrastructure and economy. Additionally, hard to predict weather phenomena such as “La Niña” have worsened the consequences of raining season. The Colombian electrical infrastructure has several hydropower reservoirs, which optimum management of resources such as minimization of water spilling and prevention of flooding downstream would decrease the negative impact of raining season on inhabitants. The aim of this paper is to describe a didactic exercise in which flood control of a hydroelectric reservoir is performed by a genetic algorithm with local search. The proposed modeling was applied to a Colombian hydropower plant during “La Niña” phenomenon. The results show the management of the hydraulic resources and the economic impact for a hydropower plant due to flood control.

Cómo citar

APA

Lopez Lezama, J. M. y Bedoya Restrepo, V. H. (2013). Optimal Flood Control of a Hydroelectric Reservoir: a Genetic Algorithm Approach. Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL, 7. https://revistas.unal.edu.co/index.php/SICEL/article/view/38849

ACM

[1]
Lopez Lezama, J.M. y Bedoya Restrepo, V.H. 2013. Optimal Flood Control of a Hydroelectric Reservoir: a Genetic Algorithm Approach. Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL. 7, (ene. 2013).

ACS

(1)
Lopez Lezama, J. M.; Bedoya Restrepo, V. H. Optimal Flood Control of a Hydroelectric Reservoir: a Genetic Algorithm Approach. SICEL 2013, 7.

ABNT

LOPEZ LEZAMA, J. M.; BEDOYA RESTREPO, V. H. Optimal Flood Control of a Hydroelectric Reservoir: a Genetic Algorithm Approach. Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL, [S. l.], v. 7, 2013. Disponível em: https://revistas.unal.edu.co/index.php/SICEL/article/view/38849. Acesso em: 7 feb. 2025.

Chicago

Lopez Lezama, Jesus Maria, y Victor Hugo Bedoya Restrepo. 2013. «Optimal Flood Control of a Hydroelectric Reservoir: a Genetic Algorithm Approach». Simposio Internacional Sobre La Calidad De La Energía Eléctrica - SICEL 7 (enero). https://revistas.unal.edu.co/index.php/SICEL/article/view/38849.

Harvard

Lopez Lezama, J. M. y Bedoya Restrepo, V. H. (2013) «Optimal Flood Control of a Hydroelectric Reservoir: a Genetic Algorithm Approach», Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL, 7. Disponible en: https://revistas.unal.edu.co/index.php/SICEL/article/view/38849 (Accedido: 7 febrero 2025).

IEEE

[1]
J. M. Lopez Lezama y V. H. Bedoya Restrepo, «Optimal Flood Control of a Hydroelectric Reservoir: a Genetic Algorithm Approach», SICEL, vol. 7, ene. 2013.

MLA

Lopez Lezama, J. M., y V. H. Bedoya Restrepo. «Optimal Flood Control of a Hydroelectric Reservoir: a Genetic Algorithm Approach». Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL, vol. 7, enero de 2013, https://revistas.unal.edu.co/index.php/SICEL/article/view/38849.

Turabian

Lopez Lezama, Jesus Maria, y Victor Hugo Bedoya Restrepo. «Optimal Flood Control of a Hydroelectric Reservoir: a Genetic Algorithm Approach». Simposio Internacional sobre la Calidad de la Energía Eléctrica - SICEL 7 (enero 1, 2013). Accedido febrero 7, 2025. https://revistas.unal.edu.co/index.php/SICEL/article/view/38849.

Vancouver

1.
Lopez Lezama JM, Bedoya Restrepo VH. Optimal Flood Control of a Hydroelectric Reservoir: a Genetic Algorithm Approach. SICEL [Internet]. 1 de enero de 2013 [citado 7 de febrero de 2025];7. Disponible en: https://revistas.unal.edu.co/index.php/SICEL/article/view/38849

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