A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In ELectric Vehicles
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/TDC.2012.6281613 http://hdl.handle.net/11449/73708 |
Resumo: | A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In Electric Vehicle (PEV), especially suited to simulate the PEVs behavior on any distribution systems, is presented. This tool intends to complement information about the driving patterns database on systems where that kind of information is not available. So, this paper aims to provide a framework that is able to work with any kind of technology and load generated of PEVs. The service zone is divided into several sub-zones, each subzone is considered as an independent agent identified with corresponding load level, and their relationships with the neighboring zones are represented as network probabilities. A percolation approach is used to characterize the autonomy of the battery of the PVEs to move through the city. The methodology is tested with data from a mid-size city real distribution system. The result shows the sub-area where the battery of PEVs will need to be recharge and gives the planners of distribution systems the necessary input for a medium to long term network planning in a smart grid environment. © 2012 IEEE. |
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A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In ELectric VehiclesAgentdistribution planningmulti-agentpercolation theoryplugin electric vehicleDistribution planningDistribution systemsDriving patternIndependent agentsLoad levelsLong-term network planningMulti agent system (MAS)Percolation theoryPlug-insReal distributionSmart gridAgentsExhibitionsLocal area networksMulti agent systemsSolventsElectric vehiclesA multi-agent system with a percolation approach to simulate the driving pattern of Plug-In Electric Vehicle (PEV), especially suited to simulate the PEVs behavior on any distribution systems, is presented. This tool intends to complement information about the driving patterns database on systems where that kind of information is not available. So, this paper aims to provide a framework that is able to work with any kind of technology and load generated of PEVs. The service zone is divided into several sub-zones, each subzone is considered as an independent agent identified with corresponding load level, and their relationships with the neighboring zones are represented as network probabilities. A percolation approach is used to characterize the autonomy of the battery of the PVEs to move through the city. The methodology is tested with data from a mid-size city real distribution system. The result shows the sub-area where the battery of PEVs will need to be recharge and gives the planners of distribution systems the necessary input for a medium to long term network planning in a smart grid environment. © 2012 IEEE.Faculdade de Engenharia de Ilha Solteira Universidade Estadual Paulista (UNESP) Departamento de Engenharia Elétrica, Ilha Solteira 15385-000, SPCECEUNIOESTE, Foz de Iguaçu-PRFaculdade de Engenharia de Ilha Solteira Universidade Estadual Paulista (UNESP) Departamento de Engenharia Elétrica, Ilha Solteira 15385-000, SPUniversidade Estadual Paulista (Unesp)Universidade Estadual do Oeste do Paraná (UNIOESTE)Melo, J. D. [UNESP]Carreno, E. M. [UNESP]Padilha-Feltrin, A. [UNESP]2014-05-27T11:27:08Z2014-05-27T11:27:08Z2012-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/TDC.2012.6281613Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference.2160-85552160-8563http://hdl.handle.net/11449/7370810.1109/TDC.2012.6281613WOS:0003170011001992-s2.0-84867969910Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the IEEE Power Engineering Society Transmission and Distribution Conferenceinfo:eu-repo/semantics/openAccess2024-07-04T19:11:39Zoai:repositorio.unesp.br:11449/73708Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:49:28.469754Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In ELectric Vehicles |
title |
A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In ELectric Vehicles |
spellingShingle |
A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In ELectric Vehicles Melo, J. D. [UNESP] Agent distribution planning multi-agent percolation theory plugin electric vehicle Distribution planning Distribution systems Driving pattern Independent agents Load levels Long-term network planning Multi agent system (MAS) Percolation theory Plug-ins Real distribution Smart grid Agents Exhibitions Local area networks Multi agent systems Solvents Electric vehicles |
title_short |
A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In ELectric Vehicles |
title_full |
A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In ELectric Vehicles |
title_fullStr |
A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In ELectric Vehicles |
title_full_unstemmed |
A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In ELectric Vehicles |
title_sort |
A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In ELectric Vehicles |
author |
Melo, J. D. [UNESP] |
author_facet |
Melo, J. D. [UNESP] Carreno, E. M. [UNESP] Padilha-Feltrin, A. [UNESP] |
author_role |
author |
author2 |
Carreno, E. M. [UNESP] Padilha-Feltrin, A. [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Estadual do Oeste do Paraná (UNIOESTE) |
dc.contributor.author.fl_str_mv |
Melo, J. D. [UNESP] Carreno, E. M. [UNESP] Padilha-Feltrin, A. [UNESP] |
dc.subject.por.fl_str_mv |
Agent distribution planning multi-agent percolation theory plugin electric vehicle Distribution planning Distribution systems Driving pattern Independent agents Load levels Long-term network planning Multi agent system (MAS) Percolation theory Plug-ins Real distribution Smart grid Agents Exhibitions Local area networks Multi agent systems Solvents Electric vehicles |
topic |
Agent distribution planning multi-agent percolation theory plugin electric vehicle Distribution planning Distribution systems Driving pattern Independent agents Load levels Long-term network planning Multi agent system (MAS) Percolation theory Plug-ins Real distribution Smart grid Agents Exhibitions Local area networks Multi agent systems Solvents Electric vehicles |
description |
A multi-agent system with a percolation approach to simulate the driving pattern of Plug-In Electric Vehicle (PEV), especially suited to simulate the PEVs behavior on any distribution systems, is presented. This tool intends to complement information about the driving patterns database on systems where that kind of information is not available. So, this paper aims to provide a framework that is able to work with any kind of technology and load generated of PEVs. The service zone is divided into several sub-zones, each subzone is considered as an independent agent identified with corresponding load level, and their relationships with the neighboring zones are represented as network probabilities. A percolation approach is used to characterize the autonomy of the battery of the PVEs to move through the city. The methodology is tested with data from a mid-size city real distribution system. The result shows the sub-area where the battery of PEVs will need to be recharge and gives the planners of distribution systems the necessary input for a medium to long term network planning in a smart grid environment. © 2012 IEEE. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-11-01 2014-05-27T11:27:08Z 2014-05-27T11:27:08Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/TDC.2012.6281613 Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference. 2160-8555 2160-8563 http://hdl.handle.net/11449/73708 10.1109/TDC.2012.6281613 WOS:000317001100199 2-s2.0-84867969910 |
url |
http://dx.doi.org/10.1109/TDC.2012.6281613 http://hdl.handle.net/11449/73708 |
identifier_str_mv |
Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference. 2160-8555 2160-8563 10.1109/TDC.2012.6281613 WOS:000317001100199 2-s2.0-84867969910 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128985491570688 |