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...

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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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network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 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
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