Development of DLR analysis and power system models: Deliverable D3.1

Detalhes bibliográficos
Autor(a) principal: Algarvio, Hugo
Data de Publicação: 2021
Outros Autores: Duque, Joaquim, Couto, António
Tipo de documento: Relatório
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10400.9/3727
Resumo: ABSTRACT: This deliverable presents the work developed by LNEG as part of the R&D activities of the project OPTIGRID - Methodology for the dynamic line rating analysis and optimal management of power networks. According to the plan activities of Tasks 3.1 and 3.2, the main objective of this deliverable is to integrate the mathematical model for the Dynamic Line Rating (DLR) analysis in the optimal power flow model for a generic AC power system, previously developed in LNEG. The main limiting factor for the transmission capacity of overhead lines (OHLs) is usually defined by a thermal constraint. For OHLs several effects are present, some with a positive contribution while others can lead to the potential congestion of the electrical networks. The seasonal line rating (SLR) methodology, traditionally used by the system operators to ensure that the grid does not operate over the maximum pre defined conductor temperature, determines the line’s ampacity from constant weather conditions using: 1) seasonal basis information or 2) conservative weather conditions. These conditions usually underestimate the real transmission capacity of OHLs. Thus DLR analysis allows assessing more realistic current limits for the power lines could present a method to deal with potentially congested electrical networks enabling the optimal integration of distributed renewable power generation.
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spelling Development of DLR analysis and power system models: Deliverable D3.1Renewable energy sourcesElectrical networksElectricity marketsDynamic modelsABSTRACT: This deliverable presents the work developed by LNEG as part of the R&D activities of the project OPTIGRID - Methodology for the dynamic line rating analysis and optimal management of power networks. According to the plan activities of Tasks 3.1 and 3.2, the main objective of this deliverable is to integrate the mathematical model for the Dynamic Line Rating (DLR) analysis in the optimal power flow model for a generic AC power system, previously developed in LNEG. The main limiting factor for the transmission capacity of overhead lines (OHLs) is usually defined by a thermal constraint. For OHLs several effects are present, some with a positive contribution while others can lead to the potential congestion of the electrical networks. The seasonal line rating (SLR) methodology, traditionally used by the system operators to ensure that the grid does not operate over the maximum pre defined conductor temperature, determines the line’s ampacity from constant weather conditions using: 1) seasonal basis information or 2) conservative weather conditions. These conditions usually underestimate the real transmission capacity of OHLs. Thus DLR analysis allows assessing more realistic current limits for the power lines could present a method to deal with potentially congested electrical networks enabling the optimal integration of distributed renewable power generation.Repositório do LNEGAlgarvio, HugoDuque, JoaquimCouto, António2022-01-26T15:48:45Z2021-072021-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/reportapplication/pdfhttp://hdl.handle.net/10400.9/3727enginfo: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:RCAAP2025-03-10T11:32:50Zoai:null:10400.9/3727Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T01:14:41.493709Repositórios 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 Development of DLR analysis and power system models: Deliverable D3.1
title Development of DLR analysis and power system models: Deliverable D3.1
spellingShingle Development of DLR analysis and power system models: Deliverable D3.1
Algarvio, Hugo
Renewable energy sources
Electrical networks
Electricity markets
Dynamic models
title_short Development of DLR analysis and power system models: Deliverable D3.1
title_full Development of DLR analysis and power system models: Deliverable D3.1
title_fullStr Development of DLR analysis and power system models: Deliverable D3.1
title_full_unstemmed Development of DLR analysis and power system models: Deliverable D3.1
title_sort Development of DLR analysis and power system models: Deliverable D3.1
author Algarvio, Hugo
author_facet Algarvio, Hugo
Duque, Joaquim
Couto, António
author_role author
author2 Duque, Joaquim
Couto, António
author2_role author
author
dc.contributor.none.fl_str_mv Repositório do LNEG
dc.contributor.author.fl_str_mv Algarvio, Hugo
Duque, Joaquim
Couto, António
dc.subject.por.fl_str_mv Renewable energy sources
Electrical networks
Electricity markets
Dynamic models
topic Renewable energy sources
Electrical networks
Electricity markets
Dynamic models
description ABSTRACT: This deliverable presents the work developed by LNEG as part of the R&D activities of the project OPTIGRID - Methodology for the dynamic line rating analysis and optimal management of power networks. According to the plan activities of Tasks 3.1 and 3.2, the main objective of this deliverable is to integrate the mathematical model for the Dynamic Line Rating (DLR) analysis in the optimal power flow model for a generic AC power system, previously developed in LNEG. The main limiting factor for the transmission capacity of overhead lines (OHLs) is usually defined by a thermal constraint. For OHLs several effects are present, some with a positive contribution while others can lead to the potential congestion of the electrical networks. The seasonal line rating (SLR) methodology, traditionally used by the system operators to ensure that the grid does not operate over the maximum pre defined conductor temperature, determines the line’s ampacity from constant weather conditions using: 1) seasonal basis information or 2) conservative weather conditions. These conditions usually underestimate the real transmission capacity of OHLs. Thus DLR analysis allows assessing more realistic current limits for the power lines could present a method to deal with potentially congested electrical networks enabling the optimal integration of distributed renewable power generation.
publishDate 2021
dc.date.none.fl_str_mv 2021-07
2021-07-01T00:00:00Z
2022-01-26T15:48:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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url http://hdl.handle.net/10400.9/3727
dc.language.iso.fl_str_mv eng
language eng
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