Dust effect impact on PV in an aggregation with wind and thermal powers

Detalhes bibliográficos
Autor(a) principal: Gomes, Isaías
Data de Publicação: 2020
Outros Autores: Melício, Rui, Mendes, Victor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/28858
https://doi.org/10.1016/j.segan.2020.100359
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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spelling Dust effect impact on PV in an aggregation with wind and thermal powersVariable renewable resourcesThermal unitsUnit commitmentDay-ahead marketStochastic programmingDust 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.2021-01-25T13:49:44Z2021-01-252020-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/28858http://hdl.handle.net/10174/28858https://doi.org/10.1016/j.segan.2020.100359enghttps://www.sciencedirect.com/science/article/pii/S2352467720302903ndruimelicio@gmail.comnd482Gomes, IsaíasMelício, 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:RCAAP2024-01-03T19:25:13Zoai:dspace.uevora.pt:10174/28858Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:18:33.580025Repositório 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
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
Melício, Rui
Mendes, Victor
author_role author
author2 Melício, Rui
Mendes, Victor
author2_role author
author
dc.contributor.author.fl_str_mv Gomes, Isaías
Melício, Rui
Mendes, Victor
dc.subject.por.fl_str_mv Variable renewable resources
Thermal units
Unit commitment
Day-ahead market
Stochastic programming
Dust effect
topic Variable renewable resources
Thermal units
Unit commitment
Day-ahead market
Stochastic programming
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 2020-06-01T00:00:00Z
2021-01-25T13:49:44Z
2021-01-25
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/10174/28858
http://hdl.handle.net/10174/28858
https://doi.org/10.1016/j.segan.2020.100359
url http://hdl.handle.net/10174/28858
https://doi.org/10.1016/j.segan.2020.100359
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.sciencedirect.com/science/article/pii/S2352467720302903
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 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
repository.mail.fl_str_mv
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