Stochastic Coordination of Joint Wind and Photovoltaic Systems with Energy Storage in Day-Ahead Market

Detalhes bibliográficos
Autor(a) principal: Isaias, Gomes
Data de Publicação: 2017
Outros Autores: Hugo, Pousinho, Rui, Melício, Victor, Mendes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/21744
https://doi.org/10.1016/j.energy.2017.02.080
Resumo: This paper presents an optimal bid submission in a day-ahead electricity market for the problem of joint operation of wind with photovoltaic power systems having an energy storage device. Uncertainty not only due to the electricity market price, but also due to wind and photovoltaic powers is one of the main characteristics of this submission. The problem is formulated as a two-stage stochastic programming problem. The optimal bids and the energy flow in the batteries are the first-stage variables and the energy deviation is the second stage variable of the problem. Energy storage is a way to harness renewable energy conversion, allowing the store and discharge of energy at conveniently market prices. A case study with data from the Iberian day-ahead electricity market is presented and a comparison between joint and disjoint operations is discussed.
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spelling Stochastic Coordination of Joint Wind and Photovoltaic Systems with Energy Storage in Day-Ahead MarketJoint operationday-ahead marketenergy storagePV powerstochastic linear programmingwind powerThis paper presents an optimal bid submission in a day-ahead electricity market for the problem of joint operation of wind with photovoltaic power systems having an energy storage device. Uncertainty not only due to the electricity market price, but also due to wind and photovoltaic powers is one of the main characteristics of this submission. The problem is formulated as a two-stage stochastic programming problem. The optimal bids and the energy flow in the batteries are the first-stage variables and the energy deviation is the second stage variable of the problem. Energy storage is a way to harness renewable energy conversion, allowing the store and discharge of energy at conveniently market prices. A case study with data from the Iberian day-ahead electricity market is presented and a comparison between joint and disjoint operations is discussed.2018-01-08T12:23:42Z2018-01-082017-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/21744http://hdl.handle.net/10174/21744https://doi.org/10.1016/j.energy.2017.02.080enghttp://www.sciencedirect.com/science/article/pii/S0360544217302542ndndruimelicio@gmail.comnd488Isaias, GomesHugo, PousinhoRui, MelícioVictor, Mendesinfo: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:RCAAP2024-01-03T19:12:21Zoai:dspace.uevora.pt:10174/21744Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:12:50.955380Repositório 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 Stochastic Coordination of Joint Wind and Photovoltaic Systems with Energy Storage in Day-Ahead Market
title Stochastic Coordination of Joint Wind and Photovoltaic Systems with Energy Storage in Day-Ahead Market
spellingShingle Stochastic Coordination of Joint Wind and Photovoltaic Systems with Energy Storage in Day-Ahead Market
Isaias, Gomes
Joint operation
day-ahead market
energy storage
PV power
stochastic linear programming
wind power
title_short Stochastic Coordination of Joint Wind and Photovoltaic Systems with Energy Storage in Day-Ahead Market
title_full Stochastic Coordination of Joint Wind and Photovoltaic Systems with Energy Storage in Day-Ahead Market
title_fullStr Stochastic Coordination of Joint Wind and Photovoltaic Systems with Energy Storage in Day-Ahead Market
title_full_unstemmed Stochastic Coordination of Joint Wind and Photovoltaic Systems with Energy Storage in Day-Ahead Market
title_sort Stochastic Coordination of Joint Wind and Photovoltaic Systems with Energy Storage in Day-Ahead Market
author Isaias, Gomes
author_facet Isaias, Gomes
Hugo, Pousinho
Rui, Melício
Victor, Mendes
author_role author
author2 Hugo, Pousinho
Rui, Melício
Victor, Mendes
author2_role author
author
author
dc.contributor.author.fl_str_mv Isaias, Gomes
Hugo, Pousinho
Rui, Melício
Victor, Mendes
dc.subject.por.fl_str_mv Joint operation
day-ahead market
energy storage
PV power
stochastic linear programming
wind power
topic Joint operation
day-ahead market
energy storage
PV power
stochastic linear programming
wind power
description This paper presents an optimal bid submission in a day-ahead electricity market for the problem of joint operation of wind with photovoltaic power systems having an energy storage device. Uncertainty not only due to the electricity market price, but also due to wind and photovoltaic powers is one of the main characteristics of this submission. The problem is formulated as a two-stage stochastic programming problem. The optimal bids and the energy flow in the batteries are the first-stage variables and the energy deviation is the second stage variable of the problem. Energy storage is a way to harness renewable energy conversion, allowing the store and discharge of energy at conveniently market prices. A case study with data from the Iberian day-ahead electricity market is presented and a comparison between joint and disjoint operations is discussed.
publishDate 2017
dc.date.none.fl_str_mv 2017-04-01T00:00:00Z
2018-01-08T12:23:42Z
2018-01-08
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/10174/21744
http://hdl.handle.net/10174/21744
https://doi.org/10.1016/j.energy.2017.02.080
url http://hdl.handle.net/10174/21744
https://doi.org/10.1016/j.energy.2017.02.080
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.sciencedirect.com/science/article/pii/S0360544217302542
nd
nd
ruimelicio@gmail.com
nd
488
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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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