In this paper, we present a novel distributed software infrastructure to foster new services in smart grids with particular emphasis on supporting self-healing distribution systems. This infrastructure exploits the rising Internet-of-Things paradigms to build and manage an interoperable peer-to-peer network of our prototype smart meters, also presented in this paper. The proposed three-phase smart meter, called 3-SMA, is a low cost and open-source Internet-connected device that provides features for self-configuration. In addition, it selectively run onboard-algorithms for smart grid management depending on its deployment on the distribution network. Finally, we present the experimental results of Hardware-In-the-Loop simulations we performed.

A Novel Internet-of-Things Infrastructure to Support Self-Healing Distribution Systems / Estebsari, Abouzar; Orlando, Matteo; Pons, Enrico; Acquaviva, Andrea; Patti, Edoardo. - ELETTRONICO. - (2018), pp. 1-6. (Intervento presentato al convegno International Conference on Smart Energy Systems and Technologies (SEST 2018) tenutosi a Sevilla, Spain nel 10-12 September 2018) [10.1109/SEST.2018.8495717].

A Novel Internet-of-Things Infrastructure to Support Self-Healing Distribution Systems

Abouzar Estebsari;Matteo Orlando;Enrico Pons;Andrea Acquaviva;Edoardo Patti
2018

Abstract

In this paper, we present a novel distributed software infrastructure to foster new services in smart grids with particular emphasis on supporting self-healing distribution systems. This infrastructure exploits the rising Internet-of-Things paradigms to build and manage an interoperable peer-to-peer network of our prototype smart meters, also presented in this paper. The proposed three-phase smart meter, called 3-SMA, is a low cost and open-source Internet-connected device that provides features for self-configuration. In addition, it selectively run onboard-algorithms for smart grid management depending on its deployment on the distribution network. Finally, we present the experimental results of Hardware-In-the-Loop simulations we performed.
2018
978-1-5386-5326-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2715493