Multi-criteria optimisation approach to increase the delivered power in radial distribution 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/10400.22/7324 |
Resumo: | This study proposes a new methodology to increase the power delivered to any load point in a radial distribution network, through the identification of new investments in order to improve the repair time. This research work is innovative and consists in proposing a full optimisation model based on mixed-integer non-linear programming considering the Pareto front technique. The goal is to achieve a reduction in repair times of the distribution networks components, while minimising the costs of that reduction as well as non-supplied energy costs. The optimisation model considers the distribution network technical constraints, the substation transformer taps, and it is able to choose the capacitor banks size. A case study based on a 33-bus distribution network is presented in order to illustrate in detail the application of the proposed methodology. |
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Multi-criteria optimisation approach to increase the delivered power in radial distribution networksPareto optimisationCost reductionDistribution networksInteger programmingInvestmentNonlinear programmingPower capacitorsSubstationsTransformersThis study proposes a new methodology to increase the power delivered to any load point in a radial distribution network, through the identification of new investments in order to improve the repair time. This research work is innovative and consists in proposing a full optimisation model based on mixed-integer non-linear programming considering the Pareto front technique. The goal is to achieve a reduction in repair times of the distribution networks components, while minimising the costs of that reduction as well as non-supplied energy costs. The optimisation model considers the distribution network technical constraints, the substation transformer taps, and it is able to choose the capacitor banks size. A case study based on a 33-bus distribution network is presented in order to illustrate in detail the application of the proposed methodology.IEEERepositório Científico do Instituto Politécnico do PortoCanizes, BrunoVale, ZitaSoares, JoãoLobo, Cristina2016-01-07T15:55:46Z2015-082015-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/7324eng10.1049/iet-gtd.2014.1196metadata only accessinfo: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:RCAAP2023-03-13T12:47:49Zoai:recipp.ipp.pt:10400.22/7324Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:27:51.182175Repositório 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 |
Multi-criteria optimisation approach to increase the delivered power in radial distribution networks |
title |
Multi-criteria optimisation approach to increase the delivered power in radial distribution networks |
spellingShingle |
Multi-criteria optimisation approach to increase the delivered power in radial distribution networks Canizes, Bruno Pareto optimisation Cost reduction Distribution networks Integer programming Investment Nonlinear programming Power capacitors Substations Transformers |
title_short |
Multi-criteria optimisation approach to increase the delivered power in radial distribution networks |
title_full |
Multi-criteria optimisation approach to increase the delivered power in radial distribution networks |
title_fullStr |
Multi-criteria optimisation approach to increase the delivered power in radial distribution networks |
title_full_unstemmed |
Multi-criteria optimisation approach to increase the delivered power in radial distribution networks |
title_sort |
Multi-criteria optimisation approach to increase the delivered power in radial distribution networks |
author |
Canizes, Bruno |
author_facet |
Canizes, Bruno Vale, Zita Soares, João Lobo, Cristina |
author_role |
author |
author2 |
Vale, Zita Soares, João Lobo, Cristina |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Canizes, Bruno Vale, Zita Soares, João Lobo, Cristina |
dc.subject.por.fl_str_mv |
Pareto optimisation Cost reduction Distribution networks Integer programming Investment Nonlinear programming Power capacitors Substations Transformers |
topic |
Pareto optimisation Cost reduction Distribution networks Integer programming Investment Nonlinear programming Power capacitors Substations Transformers |
description |
This study proposes a new methodology to increase the power delivered to any load point in a radial distribution network, through the identification of new investments in order to improve the repair time. This research work is innovative and consists in proposing a full optimisation model based on mixed-integer non-linear programming considering the Pareto front technique. The goal is to achieve a reduction in repair times of the distribution networks components, while minimising the costs of that reduction as well as non-supplied energy costs. The optimisation model considers the distribution network technical constraints, the substation transformer taps, and it is able to choose the capacitor banks size. A case study based on a 33-bus distribution network is presented in order to illustrate in detail the application of the proposed methodology. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-08 2015-08-01T00:00:00Z 2016-01-07T15:55:46Z |
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/10400.22/7324 |
url |
http://hdl.handle.net/10400.22/7324 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1049/iet-gtd.2014.1196 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
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 |
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1799131374501756928 |