In this paper, we present a novel distributed framework for real time management and co-simulation of Demand Response (DR) in smart grids. Our solution provides a (near-) real-time co-simulation platform to validate new DR-policies exploiting Internet-of-Things approach performing software-in-the-loop. Hence, the behavior of real-world power systems can be emulated in a very realistic way and different DR-policies can be easily deployed and/or replaced in a plug-and-play fashion, without affecting the rest of the framework. In addition, our solution integrates real internet-connected smart devices deployed at customer premises and along the Smart Grid to retrieve energy information and send actuation commands. Thus, the framework is also ready to manage DR in a real-world Smart Grid. This is demonstrated on a realistic smart grid with a test case DR-policy.
A Distributed IoT Infrastructure to Test and Deploy Real-Time Demand Response in Smart Grids / Barbierato, Luca; Estebsari, Abouzar; Pons, Enrico; Pau, Marco; Salassa, FABIO GUIDO MARIO; Ghirardi, Marco; Patti, Edoardo. - In: IEEE INTERNET OF THINGS JOURNAL. - ISSN 2327-4662. - STAMPA. - 6:1(2019), pp. 1136-1146. [10.1109/JIOT.2018.2867511]
A Distributed IoT Infrastructure to Test and Deploy Real-Time Demand Response in Smart Grids
Luca Barbierato;Abouzar Estebsari;Enrico Pons;Fabio Salassa;Marco Ghirardi;Edoardo Patti
2019
Abstract
In this paper, we present a novel distributed framework for real time management and co-simulation of Demand Response (DR) in smart grids. Our solution provides a (near-) real-time co-simulation platform to validate new DR-policies exploiting Internet-of-Things approach performing software-in-the-loop. Hence, the behavior of real-world power systems can be emulated in a very realistic way and different DR-policies can be easily deployed and/or replaced in a plug-and-play fashion, without affecting the rest of the framework. In addition, our solution integrates real internet-connected smart devices deployed at customer premises and along the Smart Grid to retrieve energy information and send actuation commands. Thus, the framework is also ready to manage DR in a real-world Smart Grid. This is demonstrated on a realistic smart grid with a test case DR-policy.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2712099