Optimal demand side management for the sparse scheduling of smart charge of EVs.
Resumen:
In this article, we provide a proof of concept realization of a demand response scheme modelling an EV-aggregator offering smart charging 1 coordination services to several Electric Vehicles (EV). The aggregator model promotes a distributed smart charge coordination of the EVs optimizing energy costs and energy charging profiles. This proposal considers EV's battery health constraints and mobility constraints and promotes spars day-ahead charging profiles. We use a distributed scheme with the main objective of preserving the integrity of the private information of the active agents and scalability issue. The sparsity solution is identified using the alternating direction method of multipliers. The model proposed alternates between promoting sparsity of the charging profile accomplishing EV's constraints and minimizing energy cost. We assume a decentralized communication between the participants of the optimization problem, exchanging adequate signal prices and power profiles keeping the integrity of the private information of each active agent.
| 2020 | |
| Agencia Nacional de Investigación e Innovación FSE_1_2017_1_144789 | |
|
Batteries Power system stability Power systems Optimization Load management State of charge Smart grids Demand response Actives agents on the electricity market Smart Charge for Electric Vehicles |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/26944 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522896885579776 |
|---|---|
| author | Montes de Oca, Sebastián |
| author2 | Monzón, Pablo Belzarena, Pablo |
| author2_role | author author |
| author_facet | Montes de Oca, Sebastián Monzón, Pablo Belzarena, Pablo |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Montes de Oca Sebastián, Universidad de la República (Uruguay). Facultad de Ingeniería. Monzón Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería. Belzarena Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería. |
| dc.creator.none.fl_str_mv | Montes de Oca, Sebastián Monzón, Pablo Belzarena, Pablo |
| dc.date.accessioned.none.fl_str_mv | 2021-04-05T18:26:47Z |
| dc.date.available.none.fl_str_mv | 2021-04-05T18:26:47Z |
| dc.date.issued.none.fl_str_mv | 2020 |
| dc.description.abstract.none.fl_txt_mv | In this article, we provide a proof of concept realization of a demand response scheme modelling an EV-aggregator offering smart charging 1 coordination services to several Electric Vehicles (EV). The aggregator model promotes a distributed smart charge coordination of the EVs optimizing energy costs and energy charging profiles. This proposal considers EV's battery health constraints and mobility constraints and promotes spars day-ahead charging profiles. We use a distributed scheme with the main objective of preserving the integrity of the private information of the active agents and scalability issue. The sparsity solution is identified using the alternating direction method of multipliers. The model proposed alternates between promoting sparsity of the charging profile accomplishing EV's constraints and minimizing energy cost. We assume a decentralized communication between the participants of the optimization problem, exchanging adequate signal prices and power profiles keeping the integrity of the private information of each active agent. |
| dc.description.es.fl_txt_mv | Presentado y publicado en 2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA), Montevideo, Uruguay, 28 sep - 2 oct, pp. 1-6 |
| dc.description.sponsorship.none.fl_txt_mv | Agencia Nacional de Investigación e Innovación FSE_1_2017_1_144789 |
| dc.format.extent.es.fl_str_mv | 6 p. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Montes de Oca, S., Monzón, P. y Belzarena, P. Optimal demand side management for the sparse scheduling of smart charge of EVs [Preprint]. EN : 2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA), Montevideo, Uruguay, 28 sep - 2 oct, 2020, pp. 1-6. DOI: 10.1109/TDLA47668.2020.9326178. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/26944 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Batteries Power system stability Power systems Optimization Load management State of charge Smart grids Demand response Actives agents on the electricity market Smart Charge for Electric Vehicles |
| dc.title.none.fl_str_mv | Optimal demand side management for the sparse scheduling of smart charge of EVs. |
| dc.type.es.fl_str_mv | Preprint |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/preprint |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/submittedVersion |
| description | Presentado y publicado en 2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA), Montevideo, Uruguay, 28 sep - 2 oct, pp. 1-6 |
| eu_rights_str_mv | openAccess |
| format | preprint |
| id | COLIBRI_85eae7a4ce29d05a1b26f2946c1820e9 |
| identifier_str_mv | Montes de Oca, S., Monzón, P. y Belzarena, P. Optimal demand side management for the sparse scheduling of smart charge of EVs [Preprint]. EN : 2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA), Montevideo, Uruguay, 28 sep - 2 oct, 2020, pp. 1-6. DOI: 10.1109/TDLA47668.2020.9326178. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/26944 |
| publishDate | 2020 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | Montes de Oca Sebastián, Universidad de la República (Uruguay). Facultad de Ingeniería.Monzón Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería.Belzarena Pablo, Universidad de la República (Uruguay). Facultad de Ingeniería.2021-04-05T18:26:47Z2021-04-05T18:26:47Z2020Montes de Oca, S., Monzón, P. y Belzarena, P. Optimal demand side management for the sparse scheduling of smart charge of EVs [Preprint]. EN : 2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA), Montevideo, Uruguay, 28 sep - 2 oct, 2020, pp. 1-6. DOI: 10.1109/TDLA47668.2020.9326178.https://hdl.handle.net/20.500.12008/26944Presentado y publicado en 2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA), Montevideo, Uruguay, 28 sep - 2 oct, pp. 1-6In this article, we provide a proof of concept realization of a demand response scheme modelling an EV-aggregator offering smart charging 1 coordination services to several Electric Vehicles (EV). The aggregator model promotes a distributed smart charge coordination of the EVs optimizing energy costs and energy charging profiles. This proposal considers EV's battery health constraints and mobility constraints and promotes spars day-ahead charging profiles. We use a distributed scheme with the main objective of preserving the integrity of the private information of the active agents and scalability issue. The sparsity solution is identified using the alternating direction method of multipliers. The model proposed alternates between promoting sparsity of the charging profile accomplishing EV's constraints and minimizing energy cost. We assume a decentralized communication between the participants of the optimization problem, exchanging adequate signal prices and power profiles keeping the integrity of the private information of each active agent.Submitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2021-04-03T03:38:01Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) MMB20a.pdf: 346816 bytes, checksum: 6dba11f2d34723589ab241c22164859b (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2021-04-05T18:08:00Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) MMB20a.pdf: 346816 bytes, checksum: 6dba11f2d34723589ab241c22164859b (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@fic.edu.uy) on 2021-04-05T18:26:47Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) MMB20a.pdf: 346816 bytes, checksum: 6dba11f2d34723589ab241c22164859b (MD5) Previous issue date: 2020Agencia Nacional de Investigación e Innovación FSE_1_2017_1_1447896 p.application/pdfenengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)BatteriesPower system stabilityPower systemsOptimizationLoad managementState of chargeSmart gridsDemand responseActives agents on the electricity marketSmart Charge for Electric VehiclesOptimal demand side management for the sparse scheduling of smart charge of EVs.Preprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaMontes de Oca, SebastiánMonzón, PabloBelzarena, PabloLICENSElicense.txtlicense.txttext/plain; charset=utf-84267http://localhost:8080/xmlui/bitstream/20.500.12008/26944/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_urllicense_urltext/plain; charset=utf-850http://localhost:8080/xmlui/bitstream/20.500.12008/26944/2/license_urla006180e3f5b2ad0b88185d14284c0e0MD52license_textlicense_texttext/html; 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- Universidad de la Repúblicafalse |
| spellingShingle | Optimal demand side management for the sparse scheduling of smart charge of EVs. Montes de Oca, Sebastián Batteries Power system stability Power systems Optimization Load management State of charge Smart grids Demand response Actives agents on the electricity market Smart Charge for Electric Vehicles |
| status_str | submittedVersion |
| title | Optimal demand side management for the sparse scheduling of smart charge of EVs. |
| title_full | Optimal demand side management for the sparse scheduling of smart charge of EVs. |
| title_fullStr | Optimal demand side management for the sparse scheduling of smart charge of EVs. |
| title_full_unstemmed | Optimal demand side management for the sparse scheduling of smart charge of EVs. |
| title_short | Optimal demand side management for the sparse scheduling of smart charge of EVs. |
| title_sort | Optimal demand side management for the sparse scheduling of smart charge of EVs. |
| topic | Batteries Power system stability Power systems Optimization Load management State of charge Smart grids Demand response Actives agents on the electricity market Smart Charge for Electric Vehicles |
| url | https://hdl.handle.net/20.500.12008/26944 |
