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Multi-agent management system for electric vehicle charging

2015-05Journal article Restricted access
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dc.contributor.authorMiranda, João
dc.contributor.authorBorges, José
dc.contributor.authorValério, Duarte
dc.contributor.authorGonçalves Cavaco Mendes, Mário José
dc.date.accessioned2016-04-19T14:33:12Z
dc.date.available2016-04-19T14:33:12Z
dc.date.issued2015-05
dc.description.abstractThis paper proposes an implementation, based on a multi-agent system, of a management system for automated negotiation of electricity allocation for charging electric vehicles (EVs) and simulates its performance. The widespread existence of charging infrastructures capable of autonomous operation is recognised as a major driver towards the mass adoption of EVs by mobility consumers. Eventually, conflicting requirements from both power grid and EV owners require automated middleman aggregator agents to intermediate all operations, for example, bidding and negotiation, between these parts. Multi-agent systems are designed to provide distributed, modular, coordinated and collaborative management systems; therefore, they seem suitable to address the management of such complex charging infrastructures. Our solution consists in the implementation of virtual agents to be integrated into the management software of a charging infrastructure. We start by modelling the multi-agent architecture using a federated, hierarchical layers setup and as well as the agents' behaviours and interactions. Each of these layers comprises several components, for example, data bases, decision-making and auction mechanisms. The implementation of multi-agent platform and auctions rules, and of models for battery dynamics, is also addressed. Four scenarios were predefined to assess the management system performance under real usage conditions, considering different types of profiles for EVs owners', different infrastructure configurations and usage and different loads on the utility grid (where real data from the concession holder of the Portuguese electricity transmission grid is used). Simulations carried with the four scenarios validate the performance of the modelled system while complying with all the requirements. Although all of these have been performed for one charging station alone, a multi-agent design may in the future be used for the higher level problem of distributing energy among charging stations. Copyright (c) 2014 John Wiley & Sons, Ltd.pt_PT
dc.identifier.citationMIRANDA, João; [et al] - Multi-agent management system for electric vehicle charging. International Transactions on Electrical Energy Systems. ISSN 2050-7038. Vol. 25, N.º 5 (2015), pp. 770-788pt_PT
dc.identifier.doi10.1002/etep.1840pt_PT
dc.identifier.issn2050-7038
dc.identifier.urihttp://hdl.handle.net/10400.21/6039
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWiley-Blackwellpt_PT
dc.subjectSimulation techniquespt_PT
dc.subjectTools and environmentspt_PT
dc.subjectModelling the dynamics of MASpt_PT
dc.subjectNegotiationpt_PT
dc.subjectAuction and mechanism designpt_PT
dc.subjectElectric vehiclespt_PT
dc.subjectAggregation agentpt_PT
dc.titleMulti-agent management system for electric vehicle chargingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage788pt_PT
oaire.citation.issue5pt_PT
oaire.citation.startPage770pt_PT
oaire.citation.titleInternational Transactions on Electrical Energy Systemspt_PT
oaire.citation.volume25pt_PT
person.familyNameGonçalves Cavaco Mendes
person.givenNameMário José
person.identifier.ciencia-idBD18-DE28-4610
person.identifier.orcid0000-0002-2448-8667
person.identifier.ridB-5405-2008
person.identifier.scopus-author-id24340460600
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication80ad87b5-0a3b-46dd-8815-adb45f9a2e9a
relation.isAuthorOfPublication.latestForDiscovery80ad87b5-0a3b-46dd-8815-adb45f9a2e9a

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