Net load forecasting in presence of renewable power curtailment
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/6890 |
Resumo: | This paper analyzes a real case study based on na islanding power grid, where there is wind power curtailment during the grid operation. This curtailment skews the wind power production database creating a huge challenge to the overall power production forecast. Thus, it is presented a solution which has allowed more accurate forecasts in order to improve the renewable production and reduce the fuel consumption in thermal power plants. The proposed filtering approach demonstrated to be a good solution allowing wind power forecasts with less error and net load forecasts with more accuracy. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Net load forecasting in presence of renewable power curtailmentKernel Density EstimatorPower curtailment,Power forecastingThis paper analyzes a real case study based on na islanding power grid, where there is wind power curtailment during the grid operation. This curtailment skews the wind power production database creating a huge challenge to the overall power production forecast. Thus, it is presented a solution which has allowed more accurate forecasts in order to improve the renewable production and reduce the fuel consumption in thermal power plants. The proposed filtering approach demonstrated to be a good solution allowing wind power forecasts with less error and net load forecasts with more accuracy.Institute of Electrical and Electronics EngineersRCIPLFonte, Pedro MMonteiro, CláudioBarbosa, Fernando Maciel2017-03-28T09:55:31Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/6890engFONTE, P. M.; MONTEIRO, Cláudio; BARBOSA, Fernando Maciel – Net load forecasting in presence of renewable power curtailment. In 2nd International Conference on Higher Education Advances, HEAd’16. Valência: IEEE, 2016. ISBN . 978-1-5090-1299-2.978-1-5090-1298-52165-4093DOI: http://dx.doi.org/10.4995/HEAd16.2016.2650info: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:RCAAP2023-08-03T09:52:14Zoai:repositorio.ipl.pt:10400.21/6890Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:15:57.268459Repositório 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 |
Net load forecasting in presence of renewable power curtailment |
title |
Net load forecasting in presence of renewable power curtailment |
spellingShingle |
Net load forecasting in presence of renewable power curtailment Fonte, Pedro M Kernel Density Estimator Power curtailment, Power forecasting |
title_short |
Net load forecasting in presence of renewable power curtailment |
title_full |
Net load forecasting in presence of renewable power curtailment |
title_fullStr |
Net load forecasting in presence of renewable power curtailment |
title_full_unstemmed |
Net load forecasting in presence of renewable power curtailment |
title_sort |
Net load forecasting in presence of renewable power curtailment |
author |
Fonte, Pedro M |
author_facet |
Fonte, Pedro M Monteiro, Cláudio Barbosa, Fernando Maciel |
author_role |
author |
author2 |
Monteiro, Cláudio Barbosa, Fernando Maciel |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Fonte, Pedro M Monteiro, Cláudio Barbosa, Fernando Maciel |
dc.subject.por.fl_str_mv |
Kernel Density Estimator Power curtailment, Power forecasting |
topic |
Kernel Density Estimator Power curtailment, Power forecasting |
description |
This paper analyzes a real case study based on na islanding power grid, where there is wind power curtailment during the grid operation. This curtailment skews the wind power production database creating a huge challenge to the overall power production forecast. Thus, it is presented a solution which has allowed more accurate forecasts in order to improve the renewable production and reduce the fuel consumption in thermal power plants. The proposed filtering approach demonstrated to be a good solution allowing wind power forecasts with less error and net load forecasts with more accuracy. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016 2016-01-01T00:00:00Z 2017-03-28T09:55:31Z |
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/10400.21/6890 |
url |
http://hdl.handle.net/10400.21/6890 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
FONTE, P. M.; MONTEIRO, Cláudio; BARBOSA, Fernando Maciel – Net load forecasting in presence of renewable power curtailment. In 2nd International Conference on Higher Education Advances, HEAd’16. Valência: IEEE, 2016. ISBN . 978-1-5090-1299-2. 978-1-5090-1298-5 2165-4093 DOI: http://dx.doi.org/10.4995/HEAd16.2016.2650 |
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: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 |
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