Planning distribution primary feeders for smart-grid operation via network flow analysis
Planning the expansion of distribution systems (DS) is a nonlinear and combinatorial problem that combines technical and regulatory constraints. Commonly, the planning of DS is intended to achieve a radial topology to reduce its complexity. However, in a smart-grid context, distribution feeders are...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2015
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/28928
- Acceso en línea:
- https://doi.org/10.1109/PESGM.2015.7286572
https://repository.urosario.edu.co/handle/10336/28928
- Palabra clave:
- Substations
Planning
Conductors
Topology
Network topology
Smart grids
Switches
- Rights
- License
- Restringido (Acceso a grupos específicos)
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oai:repository.urosario.edu.co:10336/28928 |
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Repositorio EdocUR - U. Rosario |
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40a61a82-9849-409e-a9da-7f2d051af6cb800352026004c6fd6da-7f1a-4a68-a64e-9c6200fd0c1b82f7753d-019b-41ac-b15e-4198db651dbb2020-08-28T15:50:08Z2020-08-28T15:50:08Z2015-10-05Planning the expansion of distribution systems (DS) is a nonlinear and combinatorial problem that combines technical and regulatory constraints. Commonly, the planning of DS is intended to achieve a radial topology to reduce its complexity. However, in a smart-grid context, distribution feeders are subject to reconfigurations to transfer load between feeders in failure events, or to compensate for voltage profile and power quality issues caused by distributed generation (DG). In this paper we propose a novel methodology for the planning of primary feeders, which considers the DS performance in both open and closedloop arrangements. To this end we introduce the concept of reach current, which we use to define and solve a minimum power-loss flow problem. We solve this problem for each type of conductor considered to find a set of primary-feeder candidates. Additionally, an efficiency evaluation is performed to select the best among the candidate primary feeders. Simulation results on a test system show how this method is able to capture open and closed-loop operations, explicitly considering DG in the DS expansion planning within a smart-grid scheme.application/pdfhttps://doi.org/10.1109/PESGM.2015.7286572EISBN: 978-1-4673-8040-9https://repository.urosario.edu.co/handle/10336/28928engIEEE2015 IEEE Power & Energy Society General MeetingIEEE Power & Energy Society General Meeting, EISBN: 978-1-4673-8040-9 (2015); 5 pp.https://ieeexplore.ieee.org/document/7286572Restringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ec2015 IEEE Power & Energy Society General Meetinginstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURSubstationsPlanningConductorsTopologyNetwork topologySmart gridsSwitchesPlanning distribution primary feeders for smart-grid operation via network flow analysisPlanificación de alimentadores primarios de distribución para la operación de redes inteligentes mediante análisis de flujo de redbookPartParte de librohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_3248Morillo, José L.Pérez, Juan F.Quijano, NicanorCadena, Ángela10336/28928oai:repository.urosario.edu.co:10336/289282021-09-23 12:49:45.292https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Planning distribution primary feeders for smart-grid operation via network flow analysis |
dc.title.TranslatedTitle.spa.fl_str_mv |
Planificación de alimentadores primarios de distribución para la operación de redes inteligentes mediante análisis de flujo de red |
title |
Planning distribution primary feeders for smart-grid operation via network flow analysis |
spellingShingle |
Planning distribution primary feeders for smart-grid operation via network flow analysis Substations Planning Conductors Topology Network topology Smart grids Switches |
title_short |
Planning distribution primary feeders for smart-grid operation via network flow analysis |
title_full |
Planning distribution primary feeders for smart-grid operation via network flow analysis |
title_fullStr |
Planning distribution primary feeders for smart-grid operation via network flow analysis |
title_full_unstemmed |
Planning distribution primary feeders for smart-grid operation via network flow analysis |
title_sort |
Planning distribution primary feeders for smart-grid operation via network flow analysis |
dc.subject.keyword.spa.fl_str_mv |
Substations Planning Conductors Topology Network topology Smart grids Switches |
topic |
Substations Planning Conductors Topology Network topology Smart grids Switches |
description |
Planning the expansion of distribution systems (DS) is a nonlinear and combinatorial problem that combines technical and regulatory constraints. Commonly, the planning of DS is intended to achieve a radial topology to reduce its complexity. However, in a smart-grid context, distribution feeders are subject to reconfigurations to transfer load between feeders in failure events, or to compensate for voltage profile and power quality issues caused by distributed generation (DG). In this paper we propose a novel methodology for the planning of primary feeders, which considers the DS performance in both open and closedloop arrangements. To this end we introduce the concept of reach current, which we use to define and solve a minimum power-loss flow problem. We solve this problem for each type of conductor considered to find a set of primary-feeder candidates. Additionally, an efficiency evaluation is performed to select the best among the candidate primary feeders. Simulation results on a test system show how this method is able to capture open and closed-loop operations, explicitly considering DG in the DS expansion planning within a smart-grid scheme. |
publishDate |
2015 |
dc.date.created.spa.fl_str_mv |
2015-10-05 |
dc.date.accessioned.none.fl_str_mv |
2020-08-28T15:50:08Z |
dc.date.available.none.fl_str_mv |
2020-08-28T15:50:08Z |
dc.type.eng.fl_str_mv |
bookPart |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_3248 |
dc.type.spa.spa.fl_str_mv |
Parte de libro |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1109/PESGM.2015.7286572 |
dc.identifier.issn.none.fl_str_mv |
EISBN: 978-1-4673-8040-9 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/28928 |
url |
https://doi.org/10.1109/PESGM.2015.7286572 https://repository.urosario.edu.co/handle/10336/28928 |
identifier_str_mv |
EISBN: 978-1-4673-8040-9 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationTitle.none.fl_str_mv |
2015 IEEE Power & Energy Society General Meeting |
dc.relation.ispartof.spa.fl_str_mv |
IEEE Power & Energy Society General Meeting, EISBN: 978-1-4673-8040-9 (2015); 5 pp. |
dc.relation.uri.spa.fl_str_mv |
https://ieeexplore.ieee.org/document/7286572 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
dc.rights.acceso.spa.fl_str_mv |
Restringido (Acceso a grupos específicos) |
rights_invalid_str_mv |
Restringido (Acceso a grupos específicos) http://purl.org/coar/access_right/c_16ec |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
IEEE |
dc.source.spa.fl_str_mv |
2015 IEEE Power & Energy Society General Meeting |
institution |
Universidad del Rosario |
dc.source.instname.none.fl_str_mv |
instname:Universidad del Rosario |
dc.source.reponame.none.fl_str_mv |
reponame:Repositorio Institucional EdocUR |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1814167471275376640 |