A scatter search heuristic for the optimal location, sizing and contract pricing of distributed generation in electric distribution systems
ABSTRACT: In this paper we present a scatter search (SS) heuristic for the optimal location, sizing and contract pricing of distributed generation (DG) in electric distribution systems. The proposed optimization approach considers the interaction of two agents: (i) the potential investor and owner o...
- Autores:
-
Villegas Ramírez, Juan Guillermo
López Lezama, Jesús María
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2017
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/13206
- Acceso en línea:
- http://hdl.handle.net/10495/13206
- Palabra clave:
- Bilevel programming
Distributed generation (DG)
Evolutionary algorithms
Scatter search (SS)
Algoritmos evolutivos
Programación binivel
- Rights
- openAccess
- License
- Atribución 2.5 Colombia (CC BY 2.5 CO)
id |
UDEA2_bab6a9032d73a4e39ee0ae3b989f46c8 |
---|---|
oai_identifier_str |
oai:bibliotecadigital.udea.edu.co:10495/13206 |
network_acronym_str |
UDEA2 |
network_name_str |
Repositorio UdeA |
repository_id_str |
|
dc.title.spa.fl_str_mv |
A scatter search heuristic for the optimal location, sizing and contract pricing of distributed generation in electric distribution systems |
title |
A scatter search heuristic for the optimal location, sizing and contract pricing of distributed generation in electric distribution systems |
spellingShingle |
A scatter search heuristic for the optimal location, sizing and contract pricing of distributed generation in electric distribution systems Bilevel programming Distributed generation (DG) Evolutionary algorithms Scatter search (SS) Algoritmos evolutivos Programación binivel |
title_short |
A scatter search heuristic for the optimal location, sizing and contract pricing of distributed generation in electric distribution systems |
title_full |
A scatter search heuristic for the optimal location, sizing and contract pricing of distributed generation in electric distribution systems |
title_fullStr |
A scatter search heuristic for the optimal location, sizing and contract pricing of distributed generation in electric distribution systems |
title_full_unstemmed |
A scatter search heuristic for the optimal location, sizing and contract pricing of distributed generation in electric distribution systems |
title_sort |
A scatter search heuristic for the optimal location, sizing and contract pricing of distributed generation in electric distribution systems |
dc.creator.fl_str_mv |
Villegas Ramírez, Juan Guillermo López Lezama, Jesús María |
dc.contributor.author.none.fl_str_mv |
Villegas Ramírez, Juan Guillermo López Lezama, Jesús María |
dc.subject.none.fl_str_mv |
Bilevel programming Distributed generation (DG) Evolutionary algorithms Scatter search (SS) Algoritmos evolutivos Programación binivel |
topic |
Bilevel programming Distributed generation (DG) Evolutionary algorithms Scatter search (SS) Algoritmos evolutivos Programación binivel |
description |
ABSTRACT: In this paper we present a scatter search (SS) heuristic for the optimal location, sizing and contract pricing of distributed generation (DG) in electric distribution systems. The proposed optimization approach considers the interaction of two agents: (i) the potential investor and owner of the DG, and (ii) the Distribution Company (DisCo) in charge of the operation of the network. The DG owner seeks to maximize his profits from selling energy to the DisCo, while the DisCo aims at minimizing the cost of serving the network demand, while meeting network constraints. To serve the expected demand the DisCo is able to purchase energy, through long-term bilateral contracts, from the wholesale electricity market and from the DG units within the network. The interaction of both agents leads to a bilevel programming problem that we solve through a SS heuristic. Computational experiments show that SS outperforms a genetic algorithm hybridized with local search both in terms of solution quality and computational time. |
publishDate |
2017 |
dc.date.issued.none.fl_str_mv |
2017 |
dc.date.accessioned.none.fl_str_mv |
2020-01-14T22:31:19Z |
dc.date.available.none.fl_str_mv |
2020-01-14T22:31:19Z |
dc.type.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a86 http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.redcol.spa.fl_str_mv |
https://purl.org/redcol/resource_type/ART |
dc.type.local.spa.fl_str_mv |
Artículo de investigación |
format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.identifier.citation.spa.fl_str_mv |
A. F. Pérez Posada, J. G. Villegas Ramírez, and J. M. López Lezama, “A scatter search heuristic for the optimal location, sizing and contract pricing of distributed generation in electric distribution systems,” Energies, vol. 10, no. 10, pp. 1-16, 2017. https://doi.org/10.3390/en10101449 |
dc.identifier.issn.none.fl_str_mv |
1996-1073 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10495/13206 |
dc.identifier.doi.none.fl_str_mv |
10.3390/en10101449 |
dc.identifier.eissn.none.fl_str_mv |
1996-1073 |
identifier_str_mv |
A. F. Pérez Posada, J. G. Villegas Ramírez, and J. M. López Lezama, “A scatter search heuristic for the optimal location, sizing and contract pricing of distributed generation in electric distribution systems,” Energies, vol. 10, no. 10, pp. 1-16, 2017. https://doi.org/10.3390/en10101449 1996-1073 10.3390/en10101449 |
url |
http://hdl.handle.net/10495/13206 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.rights.*.fl_str_mv |
Atribución 2.5 Colombia (CC BY 2.5 CO) |
dc.rights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.*.fl_str_mv |
https://creativecommons.org/licenses/by/2.5/co/ |
dc.rights.accessrights.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.creativecommons.spa.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
rights_invalid_str_mv |
Atribución 2.5 Colombia (CC BY 2.5 CO) https://creativecommons.org/licenses/by/2.5/co/ http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.extent.spa.fl_str_mv |
15 |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
MDPI |
dc.publisher.group.spa.fl_str_mv |
Grupo de Manejo Eficiente de la Energía (GIMEL) |
dc.publisher.place.spa.fl_str_mv |
Suiza |
institution |
Universidad de Antioquia |
bitstream.url.fl_str_mv |
http://bibliotecadigital.udea.edu.co/bitstream/10495/13206/2/license.txt http://bibliotecadigital.udea.edu.co/bitstream/10495/13206/1/LopezJesus_2017_ScatterSearchHeuristic.pdf |
bitstream.checksum.fl_str_mv |
8a4605be74aa9ea9d79846c1fba20a33 1ac0310675d3a8ae45b2433ddab3368a |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad de Antioquia |
repository.mail.fl_str_mv |
andres.perez@udea.edu.co |
_version_ |
1812173113850331136 |
spelling |
Villegas Ramírez, Juan GuillermoLópez Lezama, Jesús María2020-01-14T22:31:19Z2020-01-14T22:31:19Z2017A. F. Pérez Posada, J. G. Villegas Ramírez, and J. M. López Lezama, “A scatter search heuristic for the optimal location, sizing and contract pricing of distributed generation in electric distribution systems,” Energies, vol. 10, no. 10, pp. 1-16, 2017. https://doi.org/10.3390/en101014491996-1073http://hdl.handle.net/10495/1320610.3390/en101014491996-1073ABSTRACT: In this paper we present a scatter search (SS) heuristic for the optimal location, sizing and contract pricing of distributed generation (DG) in electric distribution systems. The proposed optimization approach considers the interaction of two agents: (i) the potential investor and owner of the DG, and (ii) the Distribution Company (DisCo) in charge of the operation of the network. The DG owner seeks to maximize his profits from selling energy to the DisCo, while the DisCo aims at minimizing the cost of serving the network demand, while meeting network constraints. To serve the expected demand the DisCo is able to purchase energy, through long-term bilateral contracts, from the wholesale electricity market and from the DG units within the network. The interaction of both agents leads to a bilevel programming problem that we solve through a SS heuristic. Computational experiments show that SS outperforms a genetic algorithm hybridized with local search both in terms of solution quality and computational time.15application/pdfengMDPIGrupo de Manejo Eficiente de la Energía (GIMEL)Suizainfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTArtículo de investigaciónhttp://purl.org/coar/version/c_970fb48d4fbd8a86http://purl.org/coar/version/c_970fb48d4fbd8a85Atribución 2.5 Colombia (CC BY 2.5 CO)info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by/4.0/Bilevel programmingDistributed generation (DG)Evolutionary algorithmsScatter search (SS)Algoritmos evolutivosProgramación binivelA scatter search heuristic for the optimal location, sizing and contract pricing of distributed generation in electric distribution systemsEnergies1161010LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://bibliotecadigital.udea.edu.co/bitstream/10495/13206/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALLopezJesus_2017_ScatterSearchHeuristic.pdfLopezJesus_2017_ScatterSearchHeuristic.pdfArtículo de investigaciónapplication/pdf1733243http://bibliotecadigital.udea.edu.co/bitstream/10495/13206/1/LopezJesus_2017_ScatterSearchHeuristic.pdf1ac0310675d3a8ae45b2433ddab3368aMD5110495/13206oai:bibliotecadigital.udea.edu.co:10495/132062021-06-17 13:56:10.612Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.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 |