Agent-based modeling of the energy network for hybrid cars
Agent-based modeling of the energy network for hybrid cars
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DOI：
10.1016/j.enconman.2015.04.003
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发表时间：
2015-07
影响因子：
10.4
通讯作者：
J. G. D. Durana;O. Barambones;E. Kremers;L. Varga
中科院分区：
文献类型：
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作者：
J. G. D. Durana;O. Barambones;E. Kremers;L. Varga
在以前的工作中，对致力于电网建模的复杂能源网络的研究进行了扩展，其中采用了基于代理的方法实现的计算多层本体。这种结构与最近引入的多路网络兼容，多路网络使用多元线性代数将单层网络的一些经典结果推广到稳态的多层网络。静态结果对理解动态网络没有太大帮助，因为动态网络中节点和边的变量值可能会因事件而突然改变，甚至新节点或边可能会因其他事件而出现或消失。为了解决这一差距，开发了一种基于计算代理的模型来扩展多层和多路方法。为了证明动态扩展的好处，以混合动力汽车的能量网络模型为例进行了研究。
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.