A multiple criteria utility-based approach for unit commitment with wind power and pumped storage hydro

Detalhes bibliográficos
Autor(a) principal: Bruno Miguel Vieira
Data de Publicação: 2016
Outros Autores: Ana Viana, Manuel Matos, João Pedro Pedroso
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/4083
http://dx.doi.org/10.1016/j.epsr.2015.10.024
Resumo: The integration of wind power in electricity generation brings new challenges to the unit commitment problem, as a result of the random nature of the wind speed. The scheduling of thermal generation units at the day-ahead stage is usually based on wind power forecasts. Due to technical limitations of thermal units, deviations from those forecasts during intra-day operations may lead to unwanted consequences, such as load shedding and increased operating costs. Wind power forecasting uncertainty has been handled in practice by means of conservative stochastic scenario-based optimization models, or through additional operating reserve settings. However, generation companies may have different attitudes towards the risks associated to wind power variability. In this paper, operating costs and load shedding are modeled by non-linear utility functions aggregated into a single additive utility function of a multi-objective model. Computational experiments have been done to validate the approach: firstly we test our model for the wind-thermal unit commitment problem and, in a second stage, pumped storage hydro units are added, leading to a model with wind-hydro-thermal coordination. Results have shown that the proposed methodology is able to correctly reflect different risk profiles of decision makers for both models.
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spelling A multiple criteria utility-based approach for unit commitment with wind power and pumped storage hydroThe integration of wind power in electricity generation brings new challenges to the unit commitment problem, as a result of the random nature of the wind speed. The scheduling of thermal generation units at the day-ahead stage is usually based on wind power forecasts. Due to technical limitations of thermal units, deviations from those forecasts during intra-day operations may lead to unwanted consequences, such as load shedding and increased operating costs. Wind power forecasting uncertainty has been handled in practice by means of conservative stochastic scenario-based optimization models, or through additional operating reserve settings. However, generation companies may have different attitudes towards the risks associated to wind power variability. In this paper, operating costs and load shedding are modeled by non-linear utility functions aggregated into a single additive utility function of a multi-objective model. Computational experiments have been done to validate the approach: firstly we test our model for the wind-thermal unit commitment problem and, in a second stage, pumped storage hydro units are added, leading to a model with wind-hydro-thermal coordination. Results have shown that the proposed methodology is able to correctly reflect different risk profiles of decision makers for both models.2017-12-14T14:03:23Z2016-01-01T00:00:00Z2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/4083http://dx.doi.org/10.1016/j.epsr.2015.10.024engBruno Miguel VieiraAna VianaManuel MatosJoão Pedro Pedrosoinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-15T10:20:36Zoai:repositorio.inesctec.pt:123456789/4083Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:53:23.336924Repositório 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 A multiple criteria utility-based approach for unit commitment with wind power and pumped storage hydro
title A multiple criteria utility-based approach for unit commitment with wind power and pumped storage hydro
spellingShingle A multiple criteria utility-based approach for unit commitment with wind power and pumped storage hydro
Bruno Miguel Vieira
title_short A multiple criteria utility-based approach for unit commitment with wind power and pumped storage hydro
title_full A multiple criteria utility-based approach for unit commitment with wind power and pumped storage hydro
title_fullStr A multiple criteria utility-based approach for unit commitment with wind power and pumped storage hydro
title_full_unstemmed A multiple criteria utility-based approach for unit commitment with wind power and pumped storage hydro
title_sort A multiple criteria utility-based approach for unit commitment with wind power and pumped storage hydro
author Bruno Miguel Vieira
author_facet Bruno Miguel Vieira
Ana Viana
Manuel Matos
João Pedro Pedroso
author_role author
author2 Ana Viana
Manuel Matos
João Pedro Pedroso
author2_role author
author
author
dc.contributor.author.fl_str_mv Bruno Miguel Vieira
Ana Viana
Manuel Matos
João Pedro Pedroso
description The integration of wind power in electricity generation brings new challenges to the unit commitment problem, as a result of the random nature of the wind speed. The scheduling of thermal generation units at the day-ahead stage is usually based on wind power forecasts. Due to technical limitations of thermal units, deviations from those forecasts during intra-day operations may lead to unwanted consequences, such as load shedding and increased operating costs. Wind power forecasting uncertainty has been handled in practice by means of conservative stochastic scenario-based optimization models, or through additional operating reserve settings. However, generation companies may have different attitudes towards the risks associated to wind power variability. In this paper, operating costs and load shedding are modeled by non-linear utility functions aggregated into a single additive utility function of a multi-objective model. Computational experiments have been done to validate the approach: firstly we test our model for the wind-thermal unit commitment problem and, in a second stage, pumped storage hydro units are added, leading to a model with wind-hydro-thermal coordination. Results have shown that the proposed methodology is able to correctly reflect different risk profiles of decision makers for both models.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01T00:00:00Z
2016
2017-12-14T14:03:23Z
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://repositorio.inesctec.pt/handle/123456789/4083
http://dx.doi.org/10.1016/j.epsr.2015.10.024
url http://repositorio.inesctec.pt/handle/123456789/4083
http://dx.doi.org/10.1016/j.epsr.2015.10.024
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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