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A New Heuristic Providing an Effective Initial Solution for a Simulated Annealing approach to Energy Resource Scheduling in Smart Grids

2014-12Conference object Restricted access
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dc.contributor.authorSousa, Tiago
dc.contributor.authorMorais, Hugo
dc.contributor.authorCastro, Rui
dc.contributor.authorVale, Zita
dc.date.accessioned2015-05-05T16:24:39Z
dc.date.available2015-05-05T16:24:39Z
dc.date.issued2014-12
dc.description.abstractAn intensive use of dispersed energy resources is expected for future power systems, including distributed generation, especially based on renewable sources, and electric vehicles. The system operation methods and tool must be adapted to the increased complexity, especially the optimal resource scheduling problem. Therefore, the use of metaheuristics is required to obtain good solutions in a reasonable amount of time. This paper proposes two new heuristics, called naive electric vehicles charge and discharge allocation and generation tournament based on cost, developed to obtain an initial solution to be used in the energy resource scheduling methodology based on simulated annealing previously developed by the authors. The case study considers two scenarios with 1000 and 2000 electric vehicles connected in a distribution network. The proposed heuristics are compared with a deterministic approach and presenting a very small error concerning the objective function with a low execution time for the scenario with 2000 vehicles.por
dc.identifier.doi10.1109/CIASG.2014.7011563
dc.identifier.urihttp://hdl.handle.net/10400.22/5935
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.ispartofseriesCIASG;2014
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7011563por
dc.subjectElectric Vehiclespor
dc.subjectHeuristics-based Initilizationpor
dc.subjectOptimal Resource Schedulingpor
dc.subjectSimulated Annealingpor
dc.subjectVehicle-to- Gridpor
dc.titleA New Heuristic Providing an Effective Initial Solution for a Simulated Annealing approach to Energy Resource Scheduling in Smart Gridspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceOrlando, Florida, USApor
oaire.citation.endPage8por
oaire.citation.startPage103por
oaire.citation.titleCIASG 2014 - Computational Intelligence Applications in Smart Grid (CIASG) at the IEEE SSCI 2014 (IEEE Symposium Series on Computational Intelligence)por
person.familyNameMorais
person.familyNameVale
person.givenNameHugo
person.givenNameZita
person.identifier80878
person.identifier632184
person.identifier.ciencia-id2010-D878-271B
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0001-5906-4744
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id21834170800
person.identifier.scopus-author-id7004115775
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationb159f8c9-5ee1-444e-b890-81242ee0738e
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryb159f8c9-5ee1-444e-b890-81242ee0738e

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