Analysis of spinning reserves in systems with variable power sources

Detalhes bibliográficos
Autor(a) principal: Fonte, Pedro M
Data de Publicação: 2018
Outros Autores: Monteiro, Claudio, Barbosa, Fernando
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10400.21/11572
Resumo: In this paper is studied an approach based on risk assessment to solve the scheduling of a power production system with variable power sources. The spinning reserves resulting from the unit commitment are analyzed too. In this methodology there are no infeasible solutions, only more or less costly solutions associated to the operation risks, such as, load or renewable production curtailment. The uncertainty of forecasted production and load demand are defined by probability distribution functions. The methodology is tested in a real case study, an island with high penetration of renewable power production. Finally, forecasted and measured reserves are compared, once the reserves are strongly linked with the forecasting quality. The results of a real case study are presented and discussed. They show the difficulty to achieve complete robust solutions.
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spelling Analysis of spinning reserves in systems with variable power sourcesGeneration curtailmentProbabilistic forecastingRisk assessmentUncertaintyIn this paper is studied an approach based on risk assessment to solve the scheduling of a power production system with variable power sources. The spinning reserves resulting from the unit commitment are analyzed too. In this methodology there are no infeasible solutions, only more or less costly solutions associated to the operation risks, such as, load or renewable production curtailment. The uncertainty of forecasted production and load demand are defined by probability distribution functions. The methodology is tested in a real case study, an island with high penetration of renewable power production. Finally, forecasted and measured reserves are compared, once the reserves are strongly linked with the forecasting quality. The results of a real case study are presented and discussed. They show the difficulty to achieve complete robust solutions.Institute of Electrical and Electronics EngineersRCIPLFonte, Pedro MMonteiro, ClaudioBarbosa, Fernando2020-05-04T14:10:41Z20182018-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.21/11572eng978-1-5386-1488-4info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-12T09:10:57Zoai:repositorio.ipl.pt:10400.21/11572Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:59:25.097981Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Analysis of spinning reserves in systems with variable power sources
title Analysis of spinning reserves in systems with variable power sources
spellingShingle Analysis of spinning reserves in systems with variable power sources
Fonte, Pedro M
Generation curtailment
Probabilistic forecasting
Risk assessment
Uncertainty
title_short Analysis of spinning reserves in systems with variable power sources
title_full Analysis of spinning reserves in systems with variable power sources
title_fullStr Analysis of spinning reserves in systems with variable power sources
title_full_unstemmed Analysis of spinning reserves in systems with variable power sources
title_sort Analysis of spinning reserves in systems with variable power sources
author Fonte, Pedro M
author_facet Fonte, Pedro M
Monteiro, Claudio
Barbosa, Fernando
author_role author
author2 Monteiro, Claudio
Barbosa, Fernando
author2_role author
author
dc.contributor.none.fl_str_mv RCIPL
dc.contributor.author.fl_str_mv Fonte, Pedro M
Monteiro, Claudio
Barbosa, Fernando
dc.subject.por.fl_str_mv Generation curtailment
Probabilistic forecasting
Risk assessment
Uncertainty
topic Generation curtailment
Probabilistic forecasting
Risk assessment
Uncertainty
description In this paper is studied an approach based on risk assessment to solve the scheduling of a power production system with variable power sources. The spinning reserves resulting from the unit commitment are analyzed too. In this methodology there are no infeasible solutions, only more or less costly solutions associated to the operation risks, such as, load or renewable production curtailment. The uncertainty of forecasted production and load demand are defined by probability distribution functions. The methodology is tested in a real case study, an island with high penetration of renewable power production. Finally, forecasted and measured reserves are compared, once the reserves are strongly linked with the forecasting quality. The results of a real case study are presented and discussed. They show the difficulty to achieve complete robust solutions.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
2020-05-04T14:10:41Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.21/11572
url http://hdl.handle.net/10400.21/11572
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-1-5386-1488-4
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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