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

dc.contributor.authorAlgarvio, Hugo
dc.contributor.authorDuque, Joaquim
dc.contributor.authorCouto, António
dc.date.accessioned2022-01-26T15:48:45Z
dc.date.available2022-01-26T15:48:45Z
dc.date.issued2021-07
dc.descriptionProject OPTIGRID - Methodology for Analysis of Dynamic Line Capacity and Optimized Management of Electric Grids: https://optigrid.lneg.pt/pt_PT
dc.description.abstractABSTRACT: 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.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.citationAlgarvio, Hugo... [et.al.] - Development of DLR analysis and power system models: Deliverable D3.1. Project report of OPTIGRID - Methodology for Analysis of Dynamic Line Capacity and Optimized Management of Electric Grids, Deliverable nº D3.1, LNEG, 2021, 29pp.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.9/3727
dc.language.isoengpt_PT
dc.relationMETHODOLOGY FOR THE DYNAMIC LINE RATING ANALYSIS AND OPTIMAL MANAGEMENT OF POWER NETWORKS
dc.relation.publisherversionhttps://optigrid.lneg.pt/pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRenewable energy sourcespt_PT
dc.subjectElectrical networkspt_PT
dc.subjectElectricity marketspt_PT
dc.subjectDynamic modelspt_PT
dc.titleDevelopment of DLR analysis and power system models: Deliverable D3.1pt_PT
dc.typereport
dspace.entity.typePublication
oaire.awardTitleMETHODOLOGY FOR THE DYNAMIC LINE RATING ANALYSIS AND OPTIMAL MANAGEMENT OF POWER NETWORKS
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEEI-EEE%2F31711%2F2017/PT
oaire.citation.titleDevelopment of DLR analysis and power system models: Deliverable D3.1pt_PT
oaire.fundingStream3599-PPCDT
person.familyNameCouto
person.givenNameAntónio
person.identifier.ciencia-idB01D-304F-6CD3
person.identifier.ciencia-id2619-80A1-A8AC
person.identifier.orcid0000-0002-4129-838X
person.identifier.orcid0000-0002-7368-8817
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typereportpt_PT
relation.isAuthorOfPublication63bffd90-c233-4ffe-b222-d5b12e31ae33
relation.isAuthorOfPublicationa0c5b011-98c5-49d3-9ac6-ddfb6027f500
relation.isAuthorOfPublication.latestForDiscovery63bffd90-c233-4ffe-b222-d5b12e31ae33
relation.isProjectOfPublication6a3c4750-e4dc-49dd-87f0-3e5dea9c51e2
relation.isProjectOfPublication.latestForDiscovery6a3c4750-e4dc-49dd-87f0-3e5dea9c51e2

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