Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Scheme

Detalhes bibliográficos
Autor(a) principal: Bento, P.M.R.
Data de Publicação: 2019
Outros Autores: Nunes, H.G.G., Pombo, José Álvaro Nunes, Calado, M. do Rosário, Mariano, S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/7054
Resumo: The scenario where the renewable generation penetration is steadily on the rise in an increasingly atomized system, with much of the installed capacity “sitting” on a distribution level, is in clear contrast with the “old paradigm” of a natural oligopoly formed by vertical structures. Thereby, the fading of the classical producer–consumer division to a broader prosumer “concept” is fostered. This crucial transition will tackle environmental harms associated with conventional energy sources, especially in this age where a greater concern regarding sustainability and environmental protection exists. The “smoothness” of this transition from a reliable conventional generation mix to a more volatile and “parti-colored" one will be particularly challenging, given escalating electricity demands arising from transportation electrification and proliferation of demand-response mechanisms. In this foreseeable framework, proper Hybrid Energy Systems sizing, and operation strategies will be crucial to dictate the electric power system’s contribution to the “green” agenda. This paper presents an optimal power dispatch strategy for grid-connected/off-grid hybrid energy systems with storage capabilities. The Short-Term Price Forecast information as an important decision-making tool for market players will guide the cost side dispatch strategy, alongside with the storage availability. Different scenarios were examined to highlight the effectiveness of the proposed approach.
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spelling Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast SchemeHybrid energy systemsOptimized dispatch strategyPhotovoltaic powerPumped-storage hydropowerShort-term price forecastingWind powerOptimized control strategyThe scenario where the renewable generation penetration is steadily on the rise in an increasingly atomized system, with much of the installed capacity “sitting” on a distribution level, is in clear contrast with the “old paradigm” of a natural oligopoly formed by vertical structures. Thereby, the fading of the classical producer–consumer division to a broader prosumer “concept” is fostered. This crucial transition will tackle environmental harms associated with conventional energy sources, especially in this age where a greater concern regarding sustainability and environmental protection exists. The “smoothness” of this transition from a reliable conventional generation mix to a more volatile and “parti-colored" one will be particularly challenging, given escalating electricity demands arising from transportation electrification and proliferation of demand-response mechanisms. In this foreseeable framework, proper Hybrid Energy Systems sizing, and operation strategies will be crucial to dictate the electric power system’s contribution to the “green” agenda. This paper presents an optimal power dispatch strategy for grid-connected/off-grid hybrid energy systems with storage capabilities. The Short-Term Price Forecast information as an important decision-making tool for market players will guide the cost side dispatch strategy, alongside with the storage availability. Different scenarios were examined to highlight the effectiveness of the proposed approach.MDPIuBibliorumBento, P.M.R.Nunes, H.G.G.Pombo, José Álvaro NunesCalado, M. do RosárioMariano, S.2019-05-02T13:08:29Z2019-032019-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/7054eng10.3390/en12050924metadata 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:RCAAP2023-12-15T09:46:07Zoai:ubibliorum.ubi.pt:10400.6/7054Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:47:39.318041Repositório 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 Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Scheme
title Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Scheme
spellingShingle Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Scheme
Bento, P.M.R.
Hybrid energy systems
Optimized dispatch strategy
Photovoltaic power
Pumped-storage hydropower
Short-term price forecasting
Wind power
Optimized control strategy
title_short Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Scheme
title_full Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Scheme
title_fullStr Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Scheme
title_full_unstemmed Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Scheme
title_sort Daily Operation Optimization of a Hybrid Energy System Considering a Short-Term Electricity Price Forecast Scheme
author Bento, P.M.R.
author_facet Bento, P.M.R.
Nunes, H.G.G.
Pombo, José Álvaro Nunes
Calado, M. do Rosário
Mariano, S.
author_role author
author2 Nunes, H.G.G.
Pombo, José Álvaro Nunes
Calado, M. do Rosário
Mariano, S.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Bento, P.M.R.
Nunes, H.G.G.
Pombo, José Álvaro Nunes
Calado, M. do Rosário
Mariano, S.
dc.subject.por.fl_str_mv Hybrid energy systems
Optimized dispatch strategy
Photovoltaic power
Pumped-storage hydropower
Short-term price forecasting
Wind power
Optimized control strategy
topic Hybrid energy systems
Optimized dispatch strategy
Photovoltaic power
Pumped-storage hydropower
Short-term price forecasting
Wind power
Optimized control strategy
description The scenario where the renewable generation penetration is steadily on the rise in an increasingly atomized system, with much of the installed capacity “sitting” on a distribution level, is in clear contrast with the “old paradigm” of a natural oligopoly formed by vertical structures. Thereby, the fading of the classical producer–consumer division to a broader prosumer “concept” is fostered. This crucial transition will tackle environmental harms associated with conventional energy sources, especially in this age where a greater concern regarding sustainability and environmental protection exists. The “smoothness” of this transition from a reliable conventional generation mix to a more volatile and “parti-colored" one will be particularly challenging, given escalating electricity demands arising from transportation electrification and proliferation of demand-response mechanisms. In this foreseeable framework, proper Hybrid Energy Systems sizing, and operation strategies will be crucial to dictate the electric power system’s contribution to the “green” agenda. This paper presents an optimal power dispatch strategy for grid-connected/off-grid hybrid energy systems with storage capabilities. The Short-Term Price Forecast information as an important decision-making tool for market players will guide the cost side dispatch strategy, alongside with the storage availability. Different scenarios were examined to highlight the effectiveness of the proposed approach.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-02T13:08:29Z
2019-03
2019-03-01T00:00:00Z
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.3390/en12050924
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