Dynamic multi-objective planning for distribution systems with distributed generation
When planning the expansion and operation of distribution systems (DS), utilities face a complex combination of technical and regulatory constraints, which must be considered together with the influence that investment decisions today have on the behavior of the DS along the planning horizon. We pre...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2014
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/28927
- Acceso en línea:
- https://doi.org/10.1109/ISGTEurope.2013.6695399
https://repository.urosario.edu.co/handle/10336/28927
- Palabra clave:
- Substations
Planning
Conductors
Reliability
Network topology
Optimization
Energy loss
- Rights
- License
- Restringido (Acceso a grupos específicos)
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40a61a82-9849-409e-a9da-7f2d051af6cb80035202600aae1dff9-08c1-4099-9206-ffa158f597392020-08-28T15:50:08Z2020-08-28T15:50:08Z2014-01-06When planning the expansion and operation of distribution systems (DS), utilities face a complex combination of technical and regulatory constraints, which must be considered together with the influence that investment decisions today have on the behavior of the DS along the planning horizon. We present a novel methodology for the multi-stage expansion and operation of a DS, considering a broad set of expansion options, such as the installation or repowering of substations and feeders, variations of the network topology, as well as the installation of distributed generators of various technologies and capacities. The problem is posed as a multi-objective optimization with two objectives: the cost of the energy delivered and the reliability of the network. The problem is solved with an evolutionary algorithm that finds a broad set of non-dominated solutions.application/pdfhttps://doi.org/10.1109/ISGTEurope.2013.6695399EISBN: 978-1-4799-2984-9https://repository.urosario.edu.co/handle/10336/28927engIEEEIEEE PES ISGT Europe 2013IEEE PES ISGT Europe, EISBN: 978-1-4799-2984-9 (2013); 5 pp.https://ieeexplore.ieee.org/abstract/document/6695399Restringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ecIEEE PES ISGT Europe 2013instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURSubstationsPlanningConductorsReliabilityNetwork topologyOptimizationEnergy lossDynamic multi-objective planning for distribution systems with distributed generationPlanificación dinámica multiobjetivo para sistemas de distribución con generación distribuidabookPartParte de librohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_3248Morillo, José L.Pérez, Juan F.Cadena, Angela. I.10336/28927oai:repository.urosario.edu.co:10336/289272021-09-23 00:50:37.758https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Dynamic multi-objective planning for distribution systems with distributed generation |
dc.title.TranslatedTitle.spa.fl_str_mv |
Planificación dinámica multiobjetivo para sistemas de distribución con generación distribuida |
title |
Dynamic multi-objective planning for distribution systems with distributed generation |
spellingShingle |
Dynamic multi-objective planning for distribution systems with distributed generation Substations Planning Conductors Reliability Network topology Optimization Energy loss |
title_short |
Dynamic multi-objective planning for distribution systems with distributed generation |
title_full |
Dynamic multi-objective planning for distribution systems with distributed generation |
title_fullStr |
Dynamic multi-objective planning for distribution systems with distributed generation |
title_full_unstemmed |
Dynamic multi-objective planning for distribution systems with distributed generation |
title_sort |
Dynamic multi-objective planning for distribution systems with distributed generation |
dc.subject.keyword.spa.fl_str_mv |
Substations Planning Conductors Reliability Network topology Optimization Energy loss |
topic |
Substations Planning Conductors Reliability Network topology Optimization Energy loss |
description |
When planning the expansion and operation of distribution systems (DS), utilities face a complex combination of technical and regulatory constraints, which must be considered together with the influence that investment decisions today have on the behavior of the DS along the planning horizon. We present a novel methodology for the multi-stage expansion and operation of a DS, considering a broad set of expansion options, such as the installation or repowering of substations and feeders, variations of the network topology, as well as the installation of distributed generators of various technologies and capacities. The problem is posed as a multi-objective optimization with two objectives: the cost of the energy delivered and the reliability of the network. The problem is solved with an evolutionary algorithm that finds a broad set of non-dominated solutions. |
publishDate |
2014 |
dc.date.created.spa.fl_str_mv |
2014-01-06 |
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/ISGTEurope.2013.6695399 |
dc.identifier.issn.none.fl_str_mv |
EISBN: 978-1-4799-2984-9 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/28927 |
url |
https://doi.org/10.1109/ISGTEurope.2013.6695399 https://repository.urosario.edu.co/handle/10336/28927 |
identifier_str_mv |
EISBN: 978-1-4799-2984-9 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationTitle.none.fl_str_mv |
IEEE PES ISGT Europe 2013 |
dc.relation.ispartof.spa.fl_str_mv |
IEEE PES ISGT Europe, EISBN: 978-1-4799-2984-9 (2013); 5 pp. |
dc.relation.uri.spa.fl_str_mv |
https://ieeexplore.ieee.org/abstract/document/6695399 |
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 |
IEEE PES ISGT Europe 2013 |
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_ |
1814167426609184768 |