Agent-based modeling of the energy network for hybrid cars

Show simple item record Gonzalez de Durana, Jose Maria Barambones, Oscar Kremers, Enrique Varga, Liz 2016-05-26T10:43:28Z 2016-05-26T10:43:28Z 2015-04-17
dc.identifier.citation José María Gonzalez de Durana, Oscar Barambones, Enrique Kremers, Liz Varga, Agent-based modeling of the energy network for hybrid cars, Energy Conversion and Management, Volume 98, 1 July 2015, pp376-386 en_UK
dc.identifier.issn 0196-8904
dc.description.abstract Studies in complex energy networks devoted to the modeling of electrical power grids, were extended in previous work, where a computational multi-layered ontology, implemented using agent-based methods, was adopted. This structure is compatible with recently introduced Multiplex Networks which using Multi-linear Algebra generalize some of classical results for single-layer networks, to multilayer networks in steady state. Static results do not assist overly in understanding dynamic networks in which the values of the variables in the nodes and edges can change suddenly, driven by events, and even where new nodes or edges may appear or disappear, also because of other events. To address this gap, a computational agent-based model is developed to extend the multi-layer and multiplex approaches. In order to demonstrate the benefits of a dynamical extension, a model of the energy network in a hybrid car is presented as a case study. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.subject Complex systems en_UK
dc.subject Agent based modeling en_UK
dc.subject Electric grid en_UK
dc.subject Smart grid en_UK
dc.subject Renewable energy systems en_UK
dc.subject Microgrids modeling en_UK
dc.subject Multi-carrier energy systems en_UK
dc.title Agent-based modeling of the energy network for hybrid cars en_UK
dc.type Article en_UK

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