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Net load forecasting in presence of renewable power curtailment

Bibliographic Details
Main Author: Fonte, Pedro M
Publication Date: 2016
Other Authors: Monteiro, Cláudio, Barbosa, Fernando Maciel
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.21/6890
Summary: 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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spelling 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/10400.21/6890eng978-1-5090-1298-5978-1-5090-1299-22165-4093DOI: http://dx.doi.org/10.4995/HEAd16.2016.2650info: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:RCAAP2025-02-12T10:55:56Zoai:repositorio.ipl.pt:10400.21/6890Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T20:09:06.113685Repositórios 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 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 978-1-5090-1298-5
978-1-5090-1299-2
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
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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