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dc.contributor.authorGonzález de Durana García, José María
dc.contributor.authorBarambones Caramazana, Oscar
dc.contributor.authorKremers, Enrique
dc.contributor.authorVarga, Liz
dc.date.accessioned2014-05-05T08:38:19Z
dc.date.available2014-05-05T08:38:19Z
dc.date.issued2014-04-03
dc.identifier.citationEnergy Conversion and Management 82 : 308–319 (2014)es
dc.identifier.issn1879-2227
dc.identifier.issn0196-8904 (e-)
dc.identifier.urihttp://hdl.handle.net/10810/12199
dc.description.abstractAttempts to model any present or future power grid face a huge challenge because a power grid is a complex system, with feedback and multi-agent behaviors, integrated by generation, distribution, storage and consumption systems, using various control and automation computing systems to manage electricity flows. Our approach to modeling is to build upon an established model of the low voltage electricity network which is tested and proven, by extending it to a generalized energy model. But, in order to address the crucial issues of energy efficiency, additional processes like energy conversion and storage, and further energy carriers, such as gas, heat, etc., besides the traditional electrical one, must be considered. Therefore a more powerful model, provided with enhanced nodes or conversion points, able to deal with multidimensional flows, is being required. This article addresses the issue of modeling a local multi-carrier energy network. This problem can be considered as an extension of modeling a low voltage distribution network located at some urban or rural geographic area. But instead of using an external power flow analysis package to do the power flow calculations, as used in electric networks, in this work we integrate a multiagent algorithm to perform the task, in a concurrent way to the other simulation tasks, and not only for the electric fluid but also for a number of additional energy carriers. As the model is mainly focused in system operation, generation and load models are not developed.es
dc.description.sponsorshipThe financial support from EPSRC for Liz Varga on project entitled "Transforming Utilities’ Conversion Points" (no. EP/J005649/1) is gratefully acknowledged.es
dc.language.isoenges
dc.publisherElsevieres
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.subjectcomplex systemses
dc.subjectagent based modelinges
dc.subjectelectrical grides
dc.subjectsmart grides
dc.subjectrenewable energy systemses
dc.subjectmicrogrids modelinges
dc.subjectmulti-carrier energy systemses
dc.titleAgent based modeling of energy networkses
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder2014 Elsevier Ltd. All rights reservedes
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0196890414002106es
dc.identifier.doihttp://dx.doi.org/10.1016/j.enconman.2014.03.018
dc.departamentoesIngeniería de sistemas y automáticaes_ES
dc.departamentoeuSistemen ingeniaritza eta automatikaes_ES
dc.subject.categoriaENERGY AND FUELS
dc.subject.categoriaRENEWABLE ENERGY, SUSTAINABILITY AND THE ENVIRONMENT
dc.subject.categoriaNUCLEAR ENERGY AND ENGINEERING
dc.subject.categoriaENERGY ENGINEERING AND POWER TECHNOLOGY


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