Simulated annealing to handle energy and ancillary services jointmanagement considering electric vehicles

Detalhes bibliográficos
Autor(a) principal: Sousa, Tiago
Data de Publicação: 2016
Outros Autores: Soares, Tiago, Morais, Hugo, Castro, Rui, Vale, Zita
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/9396
Resumo: The massive use of distributed generation and electric vehicles will lead to a more complex managementof the power system, requiring new approaches to be used in the optimal resource scheduling field.Electric vehicles with vehicle-to-grid capability can be useful for the aggregator players in the mitigationof renewable sources intermittency and in the ancillary services procurement. In this paper, an energyand ancillary services joint management model is proposed. A simulated annealing approach is used tosolve the joint management for the following day, considering the minimization of the aggregator totaloperation costs. The case study considers a distribution network with 33-bus, 66 distributed generationand 2000 electric vehicles. The proposed simulated annealing is matched with a deterministic approachallowing an effective and efficient comparison. The simulated annealing presents a solution closer to theone obtained in the deterministic approach (1.03% error), yet representing 0.06% of the deterministicapproach CPU time performance.
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spelling Simulated annealing to handle energy and ancillary services jointmanagement considering electric vehiclesAncillary servicesElectric vehicleOptimal resource schedulingSimulated annealingVirtual power playerThe massive use of distributed generation and electric vehicles will lead to a more complex managementof the power system, requiring new approaches to be used in the optimal resource scheduling field.Electric vehicles with vehicle-to-grid capability can be useful for the aggregator players in the mitigationof renewable sources intermittency and in the ancillary services procurement. In this paper, an energyand ancillary services joint management model is proposed. A simulated annealing approach is used tosolve the joint management for the following day, considering the minimization of the aggregator totaloperation costs. The case study considers a distribution network with 33-bus, 66 distributed generationand 2000 electric vehicles. The proposed simulated annealing is matched with a deterministic approachallowing an effective and efficient comparison. The simulated annealing presents a solution closer to theone obtained in the deterministic approach (1.03% error), yet representing 0.06% of the deterministicapproach CPU time performance.ElsevierRepositório Científico do Instituto Politécnico do PortoSousa, TiagoSoares, TiagoMorais, HugoCastro, RuiVale, Zita20162117-01-01T00:00:00Z2016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/9396eng10.1016/j.epsr.2016.03.031metadata 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:RCAAP2023-03-13T12:50:44Zoai:recipp.ipp.pt:10400.22/9396Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:29:59.178689Repositório 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 Simulated annealing to handle energy and ancillary services jointmanagement considering electric vehicles
title Simulated annealing to handle energy and ancillary services jointmanagement considering electric vehicles
spellingShingle Simulated annealing to handle energy and ancillary services jointmanagement considering electric vehicles
Sousa, Tiago
Ancillary services
Electric vehicle
Optimal resource scheduling
Simulated annealing
Virtual power player
title_short Simulated annealing to handle energy and ancillary services jointmanagement considering electric vehicles
title_full Simulated annealing to handle energy and ancillary services jointmanagement considering electric vehicles
title_fullStr Simulated annealing to handle energy and ancillary services jointmanagement considering electric vehicles
title_full_unstemmed Simulated annealing to handle energy and ancillary services jointmanagement considering electric vehicles
title_sort Simulated annealing to handle energy and ancillary services jointmanagement considering electric vehicles
author Sousa, Tiago
author_facet Sousa, Tiago
Soares, Tiago
Morais, Hugo
Castro, Rui
Vale, Zita
author_role author
author2 Soares, Tiago
Morais, Hugo
Castro, Rui
Vale, Zita
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Sousa, Tiago
Soares, Tiago
Morais, Hugo
Castro, Rui
Vale, Zita
dc.subject.por.fl_str_mv Ancillary services
Electric vehicle
Optimal resource scheduling
Simulated annealing
Virtual power player
topic Ancillary services
Electric vehicle
Optimal resource scheduling
Simulated annealing
Virtual power player
description The massive use of distributed generation and electric vehicles will lead to a more complex managementof the power system, requiring new approaches to be used in the optimal resource scheduling field.Electric vehicles with vehicle-to-grid capability can be useful for the aggregator players in the mitigationof renewable sources intermittency and in the ancillary services procurement. In this paper, an energyand ancillary services joint management model is proposed. A simulated annealing approach is used tosolve the joint management for the following day, considering the minimization of the aggregator totaloperation costs. The case study considers a distribution network with 33-bus, 66 distributed generationand 2000 electric vehicles. The proposed simulated annealing is matched with a deterministic approachallowing an effective and efficient comparison. The simulated annealing presents a solution closer to theone obtained in the deterministic approach (1.03% error), yet representing 0.06% of the deterministicapproach CPU time performance.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
2117-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/9396
url http://hdl.handle.net/10400.22/9396
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.epsr.2016.03.031
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 Elsevier
publisher.none.fl_str_mv Elsevier
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
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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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