Optimal configuration problem identification of electrical power cable in tidal turbine farm via traveling salesman problem modeling approach

Detalhes bibliográficos
Autor(a) principal: Vartdal, Johanne T.
Data de Publicação: 2018
Outros Autores: Qassim, Raad Y., Mokliev, Børge, Udjus, Guttorm, G-Gorbeña, Eduardo
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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spelling 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
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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
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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