Dust effect impact on PV in an aggregation with wind and thermal powers
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/10400.21/12683 |
Resumo: | This paper is about the dust effect impact on photovoltaic systems on the profit of an electricity market agent acting as an aggregator of photovoltaic power, wind power, thermal power, and an energy storage system. Energy storage ensures arbitrage and smoothing of the variability of photovoltaic power and wind power. The market agent intends to derive bids for submission in a day-ahead market, having consideration of the dust effect impact on the photovoltaic power. A formulation is proposed for a support decision system by a profit-based unit commitment problem solved by a stochastic programming approach, considering the operating characteristics of the virtual power plant. The photovoltaic power, wind power, and market price uncertainties are input data derived from scenarios of historical data. Case studies addressed show the advantages of the stochastic programming approach and insights concerned with the integration of uncertainties within the modeling for the schedule of the energy storage system and the dust effect impact on profit. |
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Dust effect impact on PV in an aggregation with wind and thermal powersVariable renewable resourcesThermal unitsUnit commitmentDay-ahead marketStochastic programmingEnergy storageDust effectThis paper is about the dust effect impact on photovoltaic systems on the profit of an electricity market agent acting as an aggregator of photovoltaic power, wind power, thermal power, and an energy storage system. Energy storage ensures arbitrage and smoothing of the variability of photovoltaic power and wind power. The market agent intends to derive bids for submission in a day-ahead market, having consideration of the dust effect impact on the photovoltaic power. A formulation is proposed for a support decision system by a profit-based unit commitment problem solved by a stochastic programming approach, considering the operating characteristics of the virtual power plant. The photovoltaic power, wind power, and market price uncertainties are input data derived from scenarios of historical data. Case studies addressed show the advantages of the stochastic programming approach and insights concerned with the integration of uncertainties within the modeling for the schedule of the energy storage system and the dust effect impact on profit.ElsevierRCIPLGomes, IsaíasMelicio, RuiMendes, Victor2021-01-25T15:58:09Z2020-062020-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/12683engGOMES, Isaias L. R.; MELÍCIO, Rui; MENDES, Victor M. F. – Dust effect impact on PV in an aggregation with wind and thermal powers. Sustainable Energy Grids and Networks. ISSN 2352-4677. Vol. 22 (2020), pp. 1-142352-467710.1016/j.segan.2020.100359metadata 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:RCAAP2023-08-03T10:06:05Zoai:repositorio.ipl.pt:10400.21/12683Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:20:43.475145Repositório 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 |
Dust effect impact on PV in an aggregation with wind and thermal powers |
title |
Dust effect impact on PV in an aggregation with wind and thermal powers |
spellingShingle |
Dust effect impact on PV in an aggregation with wind and thermal powers Gomes, Isaías Variable renewable resources Thermal units Unit commitment Day-ahead market Stochastic programming Energy storage Dust effect |
title_short |
Dust effect impact on PV in an aggregation with wind and thermal powers |
title_full |
Dust effect impact on PV in an aggregation with wind and thermal powers |
title_fullStr |
Dust effect impact on PV in an aggregation with wind and thermal powers |
title_full_unstemmed |
Dust effect impact on PV in an aggregation with wind and thermal powers |
title_sort |
Dust effect impact on PV in an aggregation with wind and thermal powers |
author |
Gomes, Isaías |
author_facet |
Gomes, Isaías Melicio, Rui Mendes, Victor |
author_role |
author |
author2 |
Melicio, Rui Mendes, Victor |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Gomes, Isaías Melicio, Rui Mendes, Victor |
dc.subject.por.fl_str_mv |
Variable renewable resources Thermal units Unit commitment Day-ahead market Stochastic programming Energy storage Dust effect |
topic |
Variable renewable resources Thermal units Unit commitment Day-ahead market Stochastic programming Energy storage Dust effect |
description |
This paper is about the dust effect impact on photovoltaic systems on the profit of an electricity market agent acting as an aggregator of photovoltaic power, wind power, thermal power, and an energy storage system. Energy storage ensures arbitrage and smoothing of the variability of photovoltaic power and wind power. The market agent intends to derive bids for submission in a day-ahead market, having consideration of the dust effect impact on the photovoltaic power. A formulation is proposed for a support decision system by a profit-based unit commitment problem solved by a stochastic programming approach, considering the operating characteristics of the virtual power plant. The photovoltaic power, wind power, and market price uncertainties are input data derived from scenarios of historical data. Case studies addressed show the advantages of the stochastic programming approach and insights concerned with the integration of uncertainties within the modeling for the schedule of the energy storage system and the dust effect impact on profit. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-06 2020-06-01T00:00:00Z 2021-01-25T15:58:09Z |
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/10400.21/12683 |
url |
http://hdl.handle.net/10400.21/12683 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
GOMES, Isaias L. R.; MELÍCIO, Rui; MENDES, Victor M. F. – Dust effect impact on PV in an aggregation with wind and thermal powers. Sustainable Energy Grids and Networks. ISSN 2352-4677. Vol. 22 (2020), pp. 1-14 2352-4677 10.1016/j.segan.2020.100359 |
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 |
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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1817554104971427840 |