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Decentralized charging coordination of electric vehicles using multi-population games
| dc.contributor.author | Martinez-Piazuelo, Juan |
| dc.contributor.author | Quijano Silva, Nicanor |
| dc.contributor.author | Ocampo-Martínez, Carlos |
| dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
| dc.date.accessioned | 2021-02-10T12:14:45Z |
| dc.date.available | 2021-02-10T12:14:45Z |
| dc.date.issued | 2020 |
| dc.identifier.citation | Martinez-Piazuelo, J.; Quijano, N.; Ocampo-Martinez, C. Decentralized charging coordination of electric vehicles using multi-population games. A: IEEE Conference on Decision and Control. "IEEE Conference on Decision and Control 2020 (CDC20)". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 506-511. DOI 10.1109/CDC42340.2020.9304437. |
| dc.identifier.uri | http://hdl.handle.net/2117/338304 |
| dc.description | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
| dc.description.abstract | This paper addresses the decentralized charging coordination of a fleet of plug-in electric vehicles (PEVs). In particular, we cast the charging coordination task as a constrained multi-objective optimization problem, and we solve it using a novel receding horizon decentralized optimization method based on multi-population games. Our proposed method is able to coordinate the charging process of arbitrary fleets of PEVs, while satisfying hard operational constraints over the system’s variables. Our theoretical developments are illustrated through numerical simulations of various PEV-fleets of different sizes. |
| dc.format.extent | 6 p. |
| dc.language.iso | eng |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| dc.subject | Àrees temàtiques de la UPC::Informàtica |
| dc.subject.lcsh | Electric vehicles |
| dc.subject.lcsh | Electric batteries |
| dc.subject.other | Multi-population games |
| dc.subject.other | Evolutionary game theory |
| dc.subject.other | Electric vehicles |
| dc.title | Decentralized charging coordination of electric vehicles using multi-population games |
| dc.type | Conference report |
| dc.subject.lemac | Vehicles elèctrics |
| dc.subject.lemac | Bateries elèctriques |
| dc.contributor.group | Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
| dc.identifier.doi | 10.1109/CDC42340.2020.9304437 |
| dc.description.peerreviewed | Peer Reviewed |
| dc.relation.publisherversion | https://ieeexplore.ieee.org/document/9304437 |
| dc.rights.access | Open Access |
| local.identifier.drac | 30482245 |
| dc.description.version | Postprint (author's final draft) |
| local.citation.author | Martinez-Piazuelo, J.; Quijano, N.; Ocampo-Martinez, C. |
| local.citation.contributor | IEEE Conference on Decision and Control |
| local.citation.publicationName | IEEE Conference on Decision and Control 2020 (CDC20) |
| local.citation.startingPage | 506 |
| local.citation.endingPage | 511 |
