Development of DLR analysis and power system models: Deliverable D3.1
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2021 |
| Outros Autores: | , |
| 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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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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info:eu-repo/semantics/report |
| format |
report |
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publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.9/3727 |
| url |
http://hdl.handle.net/10400.9/3727 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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