Multiobjective assessment of distributed energy storage location in electricity networks
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/80994 https://doi.org/10.1080/14786451.2015.1066787 |
Resumo: | This paper presents a methodology to provide information to a decision maker on the associated impacts, both of economic and technical nature, of possible management schemes of storage units for choosing the best location of distributed storage devices, with a multiobjective optimisation approach based on genetic algorithms. The methodology was applied to a case study, a known distribution network model in which the installation of distributed storage units was tested, using lithium-ion batteries. The obtained results show a significant influence of the charging/discharging profile of batteries on the choice of their best location, as well as the relevance that these choices may have for the different network management objectives, for example, for reducing network energy losses or minimising voltage deviations. Results also show a difficult cost-effectiveness of an energy-only service, with the tested systems, both due to capital cost and due to the efficiency of conversion. |
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Multiobjective assessment of distributed energy storage location in electricity networksenergy storage; power distribution networks; energy profiles; load levelling energy service; improved genetic algorithmsThis paper presents a methodology to provide information to a decision maker on the associated impacts, both of economic and technical nature, of possible management schemes of storage units for choosing the best location of distributed storage devices, with a multiobjective optimisation approach based on genetic algorithms. The methodology was applied to a case study, a known distribution network model in which the installation of distributed storage units was tested, using lithium-ion batteries. The obtained results show a significant influence of the charging/discharging profile of batteries on the choice of their best location, as well as the relevance that these choices may have for the different network management objectives, for example, for reducing network energy losses or minimising voltage deviations. Results also show a difficult cost-effectiveness of an energy-only service, with the tested systems, both due to capital cost and due to the efficiency of conversion.Taylor & Francis2015info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/80994http://hdl.handle.net/10316/80994https://doi.org/10.1080/14786451.2015.1066787eng1478-6451Ribeiro Gonçalves, José AntónioNeves, Luís PiresMartins, António Gomesinfo: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:RCAAP2022-05-25T01:42:19Zoai:estudogeral.uc.pt:10316/80994Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:03:12.429065Repositório 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 |
Multiobjective assessment of distributed energy storage location in electricity networks |
title |
Multiobjective assessment of distributed energy storage location in electricity networks |
spellingShingle |
Multiobjective assessment of distributed energy storage location in electricity networks Ribeiro Gonçalves, José António energy storage; power distribution networks; energy profiles; load levelling energy service; improved genetic algorithms |
title_short |
Multiobjective assessment of distributed energy storage location in electricity networks |
title_full |
Multiobjective assessment of distributed energy storage location in electricity networks |
title_fullStr |
Multiobjective assessment of distributed energy storage location in electricity networks |
title_full_unstemmed |
Multiobjective assessment of distributed energy storage location in electricity networks |
title_sort |
Multiobjective assessment of distributed energy storage location in electricity networks |
author |
Ribeiro Gonçalves, José António |
author_facet |
Ribeiro Gonçalves, José António Neves, Luís Pires Martins, António Gomes |
author_role |
author |
author2 |
Neves, Luís Pires Martins, António Gomes |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ribeiro Gonçalves, José António Neves, Luís Pires Martins, António Gomes |
dc.subject.por.fl_str_mv |
energy storage; power distribution networks; energy profiles; load levelling energy service; improved genetic algorithms |
topic |
energy storage; power distribution networks; energy profiles; load levelling energy service; improved genetic algorithms |
description |
This paper presents a methodology to provide information to a decision maker on the associated impacts, both of economic and technical nature, of possible management schemes of storage units for choosing the best location of distributed storage devices, with a multiobjective optimisation approach based on genetic algorithms. The methodology was applied to a case study, a known distribution network model in which the installation of distributed storage units was tested, using lithium-ion batteries. The obtained results show a significant influence of the charging/discharging profile of batteries on the choice of their best location, as well as the relevance that these choices may have for the different network management objectives, for example, for reducing network energy losses or minimising voltage deviations. Results also show a difficult cost-effectiveness of an energy-only service, with the tested systems, both due to capital cost and due to the efficiency of conversion. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/80994 http://hdl.handle.net/10316/80994 https://doi.org/10.1080/14786451.2015.1066787 |
url |
http://hdl.handle.net/10316/80994 https://doi.org/10.1080/14786451.2015.1066787 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1478-6451 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Taylor & Francis |
publisher.none.fl_str_mv |
Taylor & Francis |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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 |
repository.mail.fl_str_mv |
|
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1799133925661999104 |