An evolutionary particle swarm optimization, EPSO, approach to optimize the operation of hydro stations in market environment

Detalhes bibliográficos
Autor(a) principal: André S. Pacheco
Data de Publicação: 2014
Outros Autores: João Tomé Saraiva
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://repositorio-aberto.up.pt/handle/10216/76080
Resumo: This paper describes the application of Evolutionary Particle Swarm Optimization, EPSO, to the optimization of the short term operation of hydro stations in market environment. The maximization of the revenues of hydro stations, namely pumping stations, is gaining increasing attention by generation companies. However, this is typically a complex problem given the non linear relation between the power, the flow and the head, the temporal coupling between stations in cascade and the increasing number of pumping stations. The EPSO based algorithm displayed a very good performance in terms of the quality of the final operation plan as well as regarding the speed of convergence and the robustness of the algorithm.
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spelling An evolutionary particle swarm optimization, EPSO, approach to optimize the operation of hydro stations in market environmentEngenharia electrotécnica, Engenharia electrotécnica, electrónica e informáticaElectrical engineering, Electrical engineering, Electronic engineering, Information engineeringThis paper describes the application of Evolutionary Particle Swarm Optimization, EPSO, to the optimization of the short term operation of hydro stations in market environment. The maximization of the revenues of hydro stations, namely pumping stations, is gaining increasing attention by generation companies. However, this is typically a complex problem given the non linear relation between the power, the flow and the head, the temporal coupling between stations in cascade and the increasing number of pumping stations. The EPSO based algorithm displayed a very good performance in terms of the quality of the final operation plan as well as regarding the speed of convergence and the robustness of the algorithm.20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/76080eng10.1109/EEM.2014.6861211André S. PachecoJoão Tomé Saraivainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:21:04Zoai:repositorio-aberto.up.pt:10216/76080Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:21:23.493652Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv An evolutionary particle swarm optimization, EPSO, approach to optimize the operation of hydro stations in market environment
title An evolutionary particle swarm optimization, EPSO, approach to optimize the operation of hydro stations in market environment
spellingShingle An evolutionary particle swarm optimization, EPSO, approach to optimize the operation of hydro stations in market environment
André S. Pacheco
Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electrical engineering, Electronic engineering, Information engineering
title_short An evolutionary particle swarm optimization, EPSO, approach to optimize the operation of hydro stations in market environment
title_full An evolutionary particle swarm optimization, EPSO, approach to optimize the operation of hydro stations in market environment
title_fullStr An evolutionary particle swarm optimization, EPSO, approach to optimize the operation of hydro stations in market environment
title_full_unstemmed An evolutionary particle swarm optimization, EPSO, approach to optimize the operation of hydro stations in market environment
title_sort An evolutionary particle swarm optimization, EPSO, approach to optimize the operation of hydro stations in market environment
author André S. Pacheco
author_facet André S. Pacheco
João Tomé Saraiva
author_role author
author2 João Tomé Saraiva
author2_role author
dc.contributor.author.fl_str_mv André S. Pacheco
João Tomé Saraiva
dc.subject.por.fl_str_mv Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electrical engineering, Electronic engineering, Information engineering
topic Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electrical engineering, Electronic engineering, Information engineering
description This paper describes the application of Evolutionary Particle Swarm Optimization, EPSO, to the optimization of the short term operation of hydro stations in market environment. The maximization of the revenues of hydro stations, namely pumping stations, is gaining increasing attention by generation companies. However, this is typically a complex problem given the non linear relation between the power, the flow and the head, the temporal coupling between stations in cascade and the increasing number of pumping stations. The EPSO based algorithm displayed a very good performance in terms of the quality of the final operation plan as well as regarding the speed of convergence and the robustness of the algorithm.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
format book
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio-aberto.up.pt/handle/10216/76080
url https://repositorio-aberto.up.pt/handle/10216/76080
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/EEM.2014.6861211
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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