Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/19412 |
Resumo: | The variability in non-dispatchable power generation raises important challenges to the integration of renewable energy sources into the electricity power grid. This paper provides the coordinated trading of wind and photovoltaic energy to mitigate risks due to the wind and solar power variability, electricity prices, and financial penalties arising out the generation shortfall and surplus. The problem of wind-photovoltaic coordinated trading is formulated as a linear programming problem. The goal is to obtain the optimal bidding strategy that maximizes the total profit. The wind-photovoltaic coordinated operation is modeled and compared with the uncoordinated operation. A comparison of the models and relevant conclusions are drawn from an illustrative case study of the Iberian day-ahead electricity market. |
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Bidding and Optimization Strategies for Wind-PV Systems in Electricity MarketsCoordinated bidding strategieswind-PV power systemlinear programmingday-ahead marketThe variability in non-dispatchable power generation raises important challenges to the integration of renewable energy sources into the electricity power grid. This paper provides the coordinated trading of wind and photovoltaic energy to mitigate risks due to the wind and solar power variability, electricity prices, and financial penalties arising out the generation shortfall and surplus. The problem of wind-photovoltaic coordinated trading is formulated as a linear programming problem. The goal is to obtain the optimal bidding strategy that maximizes the total profit. The wind-photovoltaic coordinated operation is modeled and compared with the uncoordinated operation. A comparison of the models and relevant conclusions are drawn from an illustrative case study of the Iberian day-ahead electricity market.2016-12-21T10:45:10Z2016-12-212016-02-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10174/19412http://hdl.handle.net/10174/19412eng1st Energy Economics Iberian Conference, EEIC | CIEE 2016simnaonaondndruimelicio@gmail.comnd482Gomes, IsaíasPousinho, HugoMelício, RuiMendes, Victorinfo: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:RCAAP2024-01-03T19:08:32Zoai:dspace.uevora.pt:10174/19412Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:11:07.626638Repositório 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 |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets |
title |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets |
spellingShingle |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets Gomes, Isaías Coordinated bidding strategies wind-PV power system linear programming day-ahead market |
title_short |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets |
title_full |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets |
title_fullStr |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets |
title_full_unstemmed |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets |
title_sort |
Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets |
author |
Gomes, Isaías |
author_facet |
Gomes, Isaías Pousinho, Hugo Melício, Rui Mendes, Victor |
author_role |
author |
author2 |
Pousinho, Hugo Melício, Rui Mendes, Victor |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Gomes, Isaías Pousinho, Hugo Melício, Rui Mendes, Victor |
dc.subject.por.fl_str_mv |
Coordinated bidding strategies wind-PV power system linear programming day-ahead market |
topic |
Coordinated bidding strategies wind-PV power system linear programming day-ahead market |
description |
The variability in non-dispatchable power generation raises important challenges to the integration of renewable energy sources into the electricity power grid. This paper provides the coordinated trading of wind and photovoltaic energy to mitigate risks due to the wind and solar power variability, electricity prices, and financial penalties arising out the generation shortfall and surplus. The problem of wind-photovoltaic coordinated trading is formulated as a linear programming problem. The goal is to obtain the optimal bidding strategy that maximizes the total profit. The wind-photovoltaic coordinated operation is modeled and compared with the uncoordinated operation. A comparison of the models and relevant conclusions are drawn from an illustrative case study of the Iberian day-ahead electricity market. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-12-21T10:45:10Z 2016-12-21 2016-02-05T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/19412 http://hdl.handle.net/10174/19412 |
url |
http://hdl.handle.net/10174/19412 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1st Energy Economics Iberian Conference, EEIC | CIEE 2016 sim nao nao nd nd ruimelicio@gmail.com nd 482 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
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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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1799136592669966336 |