Application of Hierarchical and Distributed Cognitive Architecture Management for the Smart Grid

Abstract : Moving from the current power grid to the Smart Grid (SG) requires decentralizing management. This should be done by distributing intelligence over the entire grid, thereby, the intermittent production of renewable energy, customer consumption and electricity storage in electrical vehicles (EVs) could be managed in real time. In this paper, the Hierarchical and Distributed Cognitive Radio Architecture Management (HDCRAM), initially proposed to manage Cognitive Radio systems, is proposed for the management of the SG. This architecture can both be applied to the whole SG and to any sub-part (distribution network, production network, microgrid). In this paper we focus on the distribution network and the hierarchical position of each element is identified. As an example, HDCRAM is used for smart home management and multi-agent based modeling shows benefits of such an architecture. In the simulated scenario, without any management the peak power consumption is 5500 W and the hierarchical and distributed management allows to reduce it to 900 W. This diminution allows to reduce the pressure on the grid and can decrease the risk of failure.
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Jacques Palicot, Christophe Moy, Benoît Résimont, Rémi Bonnefoi. Application of Hierarchical and Distributed Cognitive Architecture Management for the Smart Grid. Ad Hoc Networks, Elsevier, 2016, 〈http://www.sciencedirect.com/science/article/pii/S1570870515300019〉. 〈10.1016/j.adhoc.2015.12.002〉. 〈hal-01266201〉

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