Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
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/123456789/4823 http://dx.doi.org/10.3390/en10101518 |
Resumo: | To address the static voltage stability issue and suppress the voltage fluctuation caused by the increasing integration of wind farms and solar photovoltaic (PV) power plants, a two-tier reactive power and voltage control strategy based on ARMA power forecasting models for wind and solar plants is proposed in this paper. Firstly, ARMA models are established to forecast the output of wind farms and solar PV plants. Secondly, the discrete equipment is pre-regulated based on the single-step prediction information from ARMA forecasting models according to the optimization result. Thirdly, a multi-objective optimization model is presented and solved by particle swarm optimization (PSO) according to the measured data and the proposed static voltage stability index. Finally, the IEEE14 bus system including a wind farm and solar PV plant is utilized to test the effectiveness of the proposed strategy. The results show that the proposed strategy can suppress voltage fluctuation and improve the static voltage stability under the condition of high penetration of renewables including wind and solar power. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting ModelsTo address the static voltage stability issue and suppress the voltage fluctuation caused by the increasing integration of wind farms and solar photovoltaic (PV) power plants, a two-tier reactive power and voltage control strategy based on ARMA power forecasting models for wind and solar plants is proposed in this paper. Firstly, ARMA models are established to forecast the output of wind farms and solar PV plants. Secondly, the discrete equipment is pre-regulated based on the single-step prediction information from ARMA forecasting models according to the optimization result. Thirdly, a multi-objective optimization model is presented and solved by particle swarm optimization (PSO) according to the measured data and the proposed static voltage stability index. Finally, the IEEE14 bus system including a wind farm and solar PV plant is utilized to test the effectiveness of the proposed strategy. The results show that the proposed strategy can suppress voltage fluctuation and improve the static voltage stability under the condition of high penetration of renewables including wind and solar power.2017-12-22T18:09:52Z2017-01-01T00:00:00Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/4823http://dx.doi.org/10.3390/en10101518engLu,JLWang,BRen,HZhao,DQWang,FShafie khah,MJoão Catalãoinfo: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:RCAAP2023-05-15T10:19:55ZPortal AgregadorONG |
dc.title.none.fl_str_mv |
Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models |
title |
Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models |
spellingShingle |
Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models Lu,JL |
title_short |
Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models |
title_full |
Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models |
title_fullStr |
Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models |
title_full_unstemmed |
Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models |
title_sort |
Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models |
author |
Lu,JL |
author_facet |
Lu,JL Wang,B Ren,H Zhao,DQ Wang,F Shafie khah,M João Catalão |
author_role |
author |
author2 |
Wang,B Ren,H Zhao,DQ Wang,F Shafie khah,M João Catalão |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Lu,JL Wang,B Ren,H Zhao,DQ Wang,F Shafie khah,M João Catalão |
description |
To address the static voltage stability issue and suppress the voltage fluctuation caused by the increasing integration of wind farms and solar photovoltaic (PV) power plants, a two-tier reactive power and voltage control strategy based on ARMA power forecasting models for wind and solar plants is proposed in this paper. Firstly, ARMA models are established to forecast the output of wind farms and solar PV plants. Secondly, the discrete equipment is pre-regulated based on the single-step prediction information from ARMA forecasting models according to the optimization result. Thirdly, a multi-objective optimization model is presented and solved by particle swarm optimization (PSO) according to the measured data and the proposed static voltage stability index. Finally, the IEEE14 bus system including a wind farm and solar PV plant is utilized to test the effectiveness of the proposed strategy. The results show that the proposed strategy can suppress voltage fluctuation and improve the static voltage stability under the condition of high penetration of renewables including wind and solar power. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-22T18:09:52Z 2017-01-01T00:00:00Z 2017 |
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/123456789/4823 http://dx.doi.org/10.3390/en10101518 |
url |
http://repositorio.inesctec.pt/handle/123456789/4823 http://dx.doi.org/10.3390/en10101518 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
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 |
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1777302465057652736 |