Agent-based modeling of the energy network for hybrid cars

Authored by Liz Varga, Oscar Barambones, Enrique Kremers, Gonzalez de Durana Jose Maria

Date Published: 2015

DOI: 10.1016/j.enconman.2015.04.003

Sponsors: European Union United Kingdom Engineering and Physical Sciences Research Council (EPSRC)

Platforms: AnyLogic

Model Documentation: Pseudocode Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

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. (C) 2015 Elsevier Ltd. All rights reserved.

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Simulation Optimization Buildings System Generation Storage