Analysis of spinning reserves in systems with variable power sources
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2018 |
| Outros Autores: | , |
| 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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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 |
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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 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers |
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Institute of Electrical and Electronics Engineers |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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RCAAP |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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