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On the model flexibility of the geographical distributed real-time co-simulation: the example of ENET-RT lab

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The decarbonisation of the energy sector represents a challenge that requires new tools and approaches of analysis. This paper aims to demonstrate the fundamental role that geographical distributed real-time co-simulations (GD-RTDS) can play in this regard. To this end, three different case studies have been analysed with GD-RTDS, covering a wide range of applications for the energy sector decarbonization: a) implementation of Renewable Energy Communities for supporting the share increase of Renewable Energy Sources, b) the integration and management of Onshore Power Supply, and c) the integration of a forecasting tool for the management of the Electric Vehicle charging. The performed experiments included fully simulated components, together with (power) hardware-in-the-loop and software-in-the-loop elements. These components have been simulated in different laboratory facilities in Italy and Germany, all operating in a synchronised manner under the presented geographically-distributed setup. The results show that the proposed architecture is flexible enough to be used for modelling all the different case studies; moreover, they highlight the significant contribution that the GD-RTDS methodology can give in informing and driving energy transition policies and the fundamental role of power systems to spearhead the complete decarbonisation of the energy sector.
2024-10-09
ELSEVIER
JRC138060
2352-4677 (online),   
https://www.sciencedirect.com/science/article/pii/S2352467724002303,    https://publications.jrc.ec.europa.eu/repository/handle/JRC138060,   
10.1016/j.segan.2024.101501 (online),   
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