Decision making for sustainable aggregation of clean energy in day-ahead market: uncertainty and risk
Autor(a) principal: | |
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Data de Publicação: | 2019 |
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/10400.21/9928 |
Resumo: | This paper addresses a strategy for decision-making of sustainable aggregation for clean energy participating in a day-ahead electricity market. The clean energy consists of wind turbines, photovoltaic arrays and energy storage, contributing to a better resilience of the system. The power delivered by a wind turbine or by a photovoltaic array is most certainly in deviation from the value associated with the bid accepted at a closing of a day-ahead electricity market. The deviation is due to the unpredicted variable nature of the respective sources of energy, leading to uncertainty and may imply a risk of loss of profit. So, uncertainty must be considered, and the addressed strategy considers uncertainty by scenarios of historical data and risk by the conditional value at risk. The strategy is a unified approach based on a risk-constrained and a two-stage stochastic optimization problem rewritten as a mixed-integer linear programming problem. A case study is presented to illustrate the main result and drive conclusions. |
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Decision making for sustainable aggregation of clean energy in day-ahead market: uncertainty and riskDecision-makingRenewable energy sourcesRisk analysisStorage managementThis paper addresses a strategy for decision-making of sustainable aggregation for clean energy participating in a day-ahead electricity market. The clean energy consists of wind turbines, photovoltaic arrays and energy storage, contributing to a better resilience of the system. The power delivered by a wind turbine or by a photovoltaic array is most certainly in deviation from the value associated with the bid accepted at a closing of a day-ahead electricity market. The deviation is due to the unpredicted variable nature of the respective sources of energy, leading to uncertainty and may imply a risk of loss of profit. So, uncertainty must be considered, and the addressed strategy considers uncertainty by scenarios of historical data and risk by the conditional value at risk. The strategy is a unified approach based on a risk-constrained and a two-stage stochastic optimization problem rewritten as a mixed-integer linear programming problem. A case study is presented to illustrate the main result and drive conclusions.ElsevierRCIPLGomes, IsaíasMelicio, RuiMendes, VictorPousinho, H. M. I.2019-05-03T10:04:27Z2019-042019-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/9928engGOMES, Isaías L. R.; [et al] – Decision making for sustainable aggregation of clean energy in day-ahead market: uncertainty and risk. Renewable Energy. ISSN 0960-1481. Vol. 133 (2019), pp. 692-7020960-148110.1016/j.renene.2018.10.054metadata 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:RCAAP2023-08-03T09:59:15Zoai:repositorio.ipl.pt:10400.21/9928Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:18:26.842707Repositório 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 |
Decision making for sustainable aggregation of clean energy in day-ahead market: uncertainty and risk |
title |
Decision making for sustainable aggregation of clean energy in day-ahead market: uncertainty and risk |
spellingShingle |
Decision making for sustainable aggregation of clean energy in day-ahead market: uncertainty and risk Gomes, Isaías Decision-making Renewable energy sources Risk analysis Storage management |
title_short |
Decision making for sustainable aggregation of clean energy in day-ahead market: uncertainty and risk |
title_full |
Decision making for sustainable aggregation of clean energy in day-ahead market: uncertainty and risk |
title_fullStr |
Decision making for sustainable aggregation of clean energy in day-ahead market: uncertainty and risk |
title_full_unstemmed |
Decision making for sustainable aggregation of clean energy in day-ahead market: uncertainty and risk |
title_sort |
Decision making for sustainable aggregation of clean energy in day-ahead market: uncertainty and risk |
author |
Gomes, Isaías |
author_facet |
Gomes, Isaías Melicio, Rui Mendes, Victor Pousinho, H. M. I. |
author_role |
author |
author2 |
Melicio, Rui Mendes, Victor Pousinho, H. M. I. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Gomes, Isaías Melicio, Rui Mendes, Victor Pousinho, H. M. I. |
dc.subject.por.fl_str_mv |
Decision-making Renewable energy sources Risk analysis Storage management |
topic |
Decision-making Renewable energy sources Risk analysis Storage management |
description |
This paper addresses a strategy for decision-making of sustainable aggregation for clean energy participating in a day-ahead electricity market. The clean energy consists of wind turbines, photovoltaic arrays and energy storage, contributing to a better resilience of the system. The power delivered by a wind turbine or by a photovoltaic array is most certainly in deviation from the value associated with the bid accepted at a closing of a day-ahead electricity market. The deviation is due to the unpredicted variable nature of the respective sources of energy, leading to uncertainty and may imply a risk of loss of profit. So, uncertainty must be considered, and the addressed strategy considers uncertainty by scenarios of historical data and risk by the conditional value at risk. The strategy is a unified approach based on a risk-constrained and a two-stage stochastic optimization problem rewritten as a mixed-integer linear programming problem. A case study is presented to illustrate the main result and drive conclusions. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-05-03T10:04:27Z 2019-04 2019-04-01T00:00:00Z |
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/10400.21/9928 |
url |
http://hdl.handle.net/10400.21/9928 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
GOMES, Isaías L. R.; [et al] – Decision making for sustainable aggregation of clean energy in day-ahead market: uncertainty and risk. Renewable Energy. ISSN 0960-1481. Vol. 133 (2019), pp. 692-702 0960-1481 10.1016/j.renene.2018.10.054 |
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 |
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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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1799133448911192064 |