Optimal configuration problem identification of electrical power cable in tidal turbine farm via traveling salesman problem modeling approach
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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/10400.1/11055 |
Resumo: | Electrical power cables in tidal turbine farms contribute a significant share to capital expenditure (CAPEX). As a result, the routing of electrical power cables connecting turbines to cable collector hubs must be designed so as to obtain the least cost configuration. This is referred to as a tidal cable routing problem. This problem possesses several variants depending on the number of cable collector hubs. In this paper, these variants are modeled by employing the approach of the single depot multiple traveling salesman problem (mTSP) and the multiple depot mTSP of operational research for the single and multiple cable collector variants, respectively. The developed optimization models are computationally implemented using MATLAB. In the triple cable collector cable hub variant, an optimal solution is obtained, while good-quality suboptimal solutions are obtained in the double and single cable collector hub variants. In practice, multiple cable collector hubs are expected to be employed as the multiple hub configurations tend to be more economic than the single hub configurations. This has been confirmed by this paper for an optimal tidal turbine layout obtained with OpenTidalFarm. Suggestions are presented for future research studies comprising a number of heuristics. |
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Optimal configuration problem identification of electrical power cable in tidal turbine farm via traveling salesman problem modeling approachTidal turbine cable routing problemTidalcurrent energyTraveling salesman problemCablecollector hubOptimizatioElectrical power cables in tidal turbine farms contribute a significant share to capital expenditure (CAPEX). As a result, the routing of electrical power cables connecting turbines to cable collector hubs must be designed so as to obtain the least cost configuration. This is referred to as a tidal cable routing problem. This problem possesses several variants depending on the number of cable collector hubs. In this paper, these variants are modeled by employing the approach of the single depot multiple traveling salesman problem (mTSP) and the multiple depot mTSP of operational research for the single and multiple cable collector variants, respectively. The developed optimization models are computationally implemented using MATLAB. In the triple cable collector cable hub variant, an optimal solution is obtained, while good-quality suboptimal solutions are obtained in the double and single cable collector hub variants. In practice, multiple cable collector hubs are expected to be employed as the multiple hub configurations tend to be more economic than the single hub configurations. This has been confirmed by this paper for an optimal tidal turbine layout obtained with OpenTidalFarm. Suggestions are presented for future research studies comprising a number of heuristics.Springer Berlin HeidelbergSapientiaVartdal, Johanne T.Qassim, Raad Y.Mokliev, BørgeUdjus, GuttormG-Gorbeña, Eduardo2018-12-05T12:29:47Z2018-11-142018-12-01T04:58:21Z2018-11-14T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/11055eng2196-5625s40565-018-0472-7info: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:RCAAP2023-07-24T10:22:45Zoai:sapientia.ualg.pt:10400.1/11055Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:02:34.483127Repositório 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 |
Optimal configuration problem identification of electrical power cable in tidal turbine farm via traveling salesman problem modeling approach |
title |
Optimal configuration problem identification of electrical power cable in tidal turbine farm via traveling salesman problem modeling approach |
spellingShingle |
Optimal configuration problem identification of electrical power cable in tidal turbine farm via traveling salesman problem modeling approach Vartdal, Johanne T. Tidal turbine cable routing problem Tidalcurrent energy Traveling salesman problem Cablecollector hub Optimizatio |
title_short |
Optimal configuration problem identification of electrical power cable in tidal turbine farm via traveling salesman problem modeling approach |
title_full |
Optimal configuration problem identification of electrical power cable in tidal turbine farm via traveling salesman problem modeling approach |
title_fullStr |
Optimal configuration problem identification of electrical power cable in tidal turbine farm via traveling salesman problem modeling approach |
title_full_unstemmed |
Optimal configuration problem identification of electrical power cable in tidal turbine farm via traveling salesman problem modeling approach |
title_sort |
Optimal configuration problem identification of electrical power cable in tidal turbine farm via traveling salesman problem modeling approach |
author |
Vartdal, Johanne T. |
author_facet |
Vartdal, Johanne T. Qassim, Raad Y. Mokliev, Børge Udjus, Guttorm G-Gorbeña, Eduardo |
author_role |
author |
author2 |
Qassim, Raad Y. Mokliev, Børge Udjus, Guttorm G-Gorbeña, Eduardo |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Sapientia |
dc.contributor.author.fl_str_mv |
Vartdal, Johanne T. Qassim, Raad Y. Mokliev, Børge Udjus, Guttorm G-Gorbeña, Eduardo |
dc.subject.por.fl_str_mv |
Tidal turbine cable routing problem Tidalcurrent energy Traveling salesman problem Cablecollector hub Optimizatio |
topic |
Tidal turbine cable routing problem Tidalcurrent energy Traveling salesman problem Cablecollector hub Optimizatio |
description |
Electrical power cables in tidal turbine farms contribute a significant share to capital expenditure (CAPEX). As a result, the routing of electrical power cables connecting turbines to cable collector hubs must be designed so as to obtain the least cost configuration. This is referred to as a tidal cable routing problem. This problem possesses several variants depending on the number of cable collector hubs. In this paper, these variants are modeled by employing the approach of the single depot multiple traveling salesman problem (mTSP) and the multiple depot mTSP of operational research for the single and multiple cable collector variants, respectively. The developed optimization models are computationally implemented using MATLAB. In the triple cable collector cable hub variant, an optimal solution is obtained, while good-quality suboptimal solutions are obtained in the double and single cable collector hub variants. In practice, multiple cable collector hubs are expected to be employed as the multiple hub configurations tend to be more economic than the single hub configurations. This has been confirmed by this paper for an optimal tidal turbine layout obtained with OpenTidalFarm. Suggestions are presented for future research studies comprising a number of heuristics. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-05T12:29:47Z 2018-11-14 2018-12-01T04:58:21Z 2018-11-14T00:00:00Z |
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/10400.1/11055 |
url |
http://hdl.handle.net/10400.1/11055 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2196-5625 s40565-018-0472-7 |
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.publisher.none.fl_str_mv |
Springer Berlin Heidelberg |
publisher.none.fl_str_mv |
Springer Berlin Heidelberg |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799133259858182144 |