Two-Tier Reactive Power and Voltage Control Strategy Based on ARMA Renewable Power Forecasting Models

Detalhes bibliográficos
Autor(a) principal: Lu,JL
Data de Publicação: 2017
Outros Autores: Wang,B, Ren,H, Zhao,DQ, Wang,F, Shafie khah,M, João Catalão
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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spelling 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
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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