Abstract—Integrated generation systems are increasingly con- sidered suitable to supply remote areas, less developed coun- tries, and small isolated communities with power. The energy management investigated in this paper concerns a smart grid encompassing a photovoltaic park. We propose a novel cloud- distributed solution to determine the best energy dispatch, i.e. where energy is going to be used and whether to change the operating points for some consumption devices. Neural networks have been used to predict both energy production and consump- tion, making it possible to strategically set the activation time of loading devices and to minimize energy flow changes. Moreover, cloud computing resources make it possible to have fast and distributed computation on the big amount of data gauging power production and consumption.

Advanced and Adaptive Dispatch for Smart Grids by means of Predictive Models / Capizzi, Giacomo; LO SCIUTO, Grazia; Napoli, Christian; Tramontana, EMILIANO ALESSIO. - In: IEEE TRANSACTIONS ON SMART GRID. - ISSN 1949-3053. - 9:6(2018), pp. 6684-6691. [10.1109/TSG.2017.2718241]

Advanced and Adaptive Dispatch for Smart Grids by means of Predictive Models

NAPOLI, CHRISTIAN;
2018

Abstract

Abstract—Integrated generation systems are increasingly con- sidered suitable to supply remote areas, less developed coun- tries, and small isolated communities with power. The energy management investigated in this paper concerns a smart grid encompassing a photovoltaic park. We propose a novel cloud- distributed solution to determine the best energy dispatch, i.e. where energy is going to be used and whether to change the operating points for some consumption devices. Neural networks have been used to predict both energy production and consump- tion, making it possible to strategically set the activation time of loading devices and to minimize energy flow changes. Moreover, cloud computing resources make it possible to have fast and distributed computation on the big amount of data gauging power production and consumption.
2018
Smart grids; Photovoltaic; Renewable energy; Energy management; Cloud computing; GPU computing; Wavelet analysis; Neural networks; Parallel processing
01 Pubblicazione su rivista::01a Articolo in rivista
Advanced and Adaptive Dispatch for Smart Grids by means of Predictive Models / Capizzi, Giacomo; LO SCIUTO, Grazia; Napoli, Christian; Tramontana, EMILIANO ALESSIO. - In: IEEE TRANSACTIONS ON SMART GRID. - ISSN 1949-3053. - 9:6(2018), pp. 6684-6691. [10.1109/TSG.2017.2718241]
File allegati a questo prodotto
File Dimensione Formato  
Capizzi_Advanced-and-Adaptive_2018.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.68 MB
Formato Adobe PDF
1.68 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1328607
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 41
  • ???jsp.display-item.citation.isi??? 29
social impact