Publicação
Agent based approaches for smart charging strategy for electric vehicles
| Resumo: | This paper presents an agent process simulation to control and monitor the Electric Vehicle charging process, using existing power distribution limitations and microgeneration capacity. The goal is to simulate the consumers’ energy consumption and their unexpected behavior, using past experience and taking into account distribution network and home power limitation to find an intelligent charging pattern. This paper proposes a novel approach for this problem based on an agent-based simulation platform where stochastic process is adopted to perform unexpected user behavior. This simulation tool can be used to determine the capability of the actual electrical distribution network for supply energy to the final consumers and for charge the bank of batteries of electrical vehicles, which can occur simultaneously. |
|---|---|
| Autores principais: | Ferreira, João C. |
| Outros Autores: | Silva, Alberto R.; Afonso, João L. |
| Assunto: | Electric vehicle Charging process Agent Simulation Tracking system Micro-grid |
| Ano: | 2011 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1866877813265530880 |
|---|---|
| author | Ferreira, João C. |
| author2 | Silva, Alberto R. Afonso, João L. |
| author2_role | author author |
| author_facet | Ferreira, João C. Silva, Alberto R. Afonso, João L. |
| author_role | author |
| contributor_name_str_mv | Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Ferreira, João C.\"},{\"Person.name\":\"Silva, Alberto R.\"},{\"Person.name\":\"Afonso, João L.\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Ferreira, João C. Silva, Alberto R. Afonso, João L. |
| datacite.date.Accepted.fl_str_mv | 2011-05-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2012-05-22T14:20:03Z |
| datacite.date.embargoed.fl_str_mv | 2012-05-22T14:20:03Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Electric vehicle Charging process Agent Simulation Tracking system Micro-grid |
| datacite.titles.title.fl_str_mv | Agent based approaches for smart charging strategy for electric vehicles |
| dc.contributor.none.fl_str_mv | Universidade do Minho |
| dc.creator.none.fl_str_mv | Ferreira, João C. Silva, Alberto R. Afonso, João L. |
| dc.date.Accepted.fl_str_mv | 2011-05-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2012-05-22T14:20:03Z |
| dc.date.embargoed.fl_str_mv | 2012-05-22T14:20:03Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/19438 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Electric vehicle Charging process Agent Simulation Tracking system Micro-grid |
| dc.title.fl_str_mv | Agent based approaches for smart charging strategy for electric vehicles |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | This paper presents an agent process simulation to control and monitor the Electric Vehicle charging process, using existing power distribution limitations and microgeneration capacity. The goal is to simulate the consumers’ energy consumption and their unexpected behavior, using past experience and taking into account distribution network and home power limitation to find an intelligent charging pattern. This paper proposes a novel approach for this problem based on an agent-based simulation platform where stochastic process is adopted to perform unexpected user behavior. This simulation tool can be used to determine the capability of the actual electrical distribution network for supply energy to the final consumers and for charge the bank of batteries of electrical vehicles, which can occur simultaneously. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://prod-dspace.uminho.pt/bitstreams/05d797a1-18df-4b48-958c-c40d572f7748/download |
| id | rum_ff34dcda8b04840b6d3111d0ed8aa821 |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/19438 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/19438 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Ferreira, João C. Silva, Alberto R. Afonso, João L. |
| publishDate | 2011 |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engporThis paper presents an agent process simulation to control and monitor the Electric Vehicle charging process, using existing power distribution limitations and microgeneration capacity. The goal is to simulate the consumers’ energy consumption and their unexpected behavior, using past experience and taking into account distribution network and home power limitation to find an intelligent charging pattern. This paper proposes a novel approach for this problem based on an agent-based simulation platform where stochastic process is adopted to perform unexpected user behavior. This simulation tool can be used to determine the capability of the actual electrical distribution network for supply energy to the final consumers and for charge the bank of batteries of electrical vehicles, which can occur simultaneously.application/pdfporAgent based approaches for smart charging strategy for electric vehiclesFerreira, João C.Silva, Alberto R.Afonso, João L.HostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.pt2012-05-22T14:20:03Z2011-052011-05-01T00:00:00ZHandlehttps://hdl.handle.net/1822/19438http://purl.org/coar/access_right/c_abf2open accessElectric vehicleCharging processAgentSimulationTracking systemMicro-grid1274791 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/05d797a1-18df-4b48-958c-c40d572f7748/download |
| spellingShingle | Agent based approaches for smart charging strategy for electric vehicles Ferreira, João C. Electric vehicle Charging process Agent Simulation Tracking system Micro-grid |
| status | SINGLETON |
| subject.fl_str_mv | Electric vehicle Charging process Agent Simulation Tracking system Micro-grid |
| title | Agent based approaches for smart charging strategy for electric vehicles |
| title_full | Agent based approaches for smart charging strategy for electric vehicles |
| title_fullStr | Agent based approaches for smart charging strategy for electric vehicles |
| title_full_unstemmed | Agent based approaches for smart charging strategy for electric vehicles |
| title_short | Agent based approaches for smart charging strategy for electric vehicles |
| title_sort | Agent based approaches for smart charging strategy for electric vehicles |
| topic | Electric vehicle Charging process Agent Simulation Tracking system Micro-grid |
| topic_facet | Electric vehicle Charging process Agent Simulation Tracking system Micro-grid |
| url | https://hdl.handle.net/1822/19438 |
| visible | 1 |