A multiperiodal management method at user level for storage systems using artificial neural network forecasts

• Autorzy: Belli G. , Brusco G. , Burgio A. , Menniti D. , Pinnarelli A. , Sorrentino N. , Vizza P.

Identyfikatory

DOI

10.22149/teee.v1i4.60

• Języki publikacji: EN

Abstrakty

EN

The increase of renewable non-programmable production and the necessity to locally self-consume the produced energy led to utilize ever more storage systems. To correctly utilize storage systems, an opportune management method has to be utilized. This paper implements a multi-period management method for storage systems, using different management strategies. The method aims to minimize the total absorbed and supplied energy or the peak power exchanged with the grid. The results show the effectiveness of the method in diminishing the energy exchanged with the grid and also the possibility to optimize the performance of the storage systems.

Słowa kluczowe

EN

Storage management; multi-pediod scheduling; prosumer; optimal energy management

• Wydawca: EEEIC International Publishing
• Czasopismo: Transactions on Environment and Electrical Engineering
• Rocznik: 2016
• Tom: Vol. 1, No. 4
• Strony: 29--36
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Belli G.

• Department of Mechanical, Energy and Management Engineering (DIMEG) University of Calabria Via Bucci 42C, Arcavacata di Rende - CS, Italy

autor

Brusco G.

• Department of Mechanical, Energy and Management Engineering (DIMEG) University of Calabria Via Bucci 42C, Arcavacata di Rende - CS, Italy

autor

Burgio A.

• Department of Mechanical, Energy and Management Engineering (DIMEG) University of Calabria Via Bucci 42C, Arcavacata di Rende - CS, Italy

autor

Menniti D.

• Department of Mechanical, Energy and Management Engineering (DIMEG) University of Calabria Via Bucci 42C, Arcavacata di Rende - CS, Italy

autor

Pinnarelli A.

• Department of Mechanical, Energy and Management Engineering (DIMEG) University of Calabria Via Bucci 42C, Arcavacata di Rende - CS, Italy

autor

Sorrentino N.

• Department of Mechanical, Energy and Management Engineering (DIMEG) University of Calabria Via Bucci 42C, Arcavacata di Rende - CS, Italy

autor

Vizza P.

• Department of Mechanical, Energy and Management Engineering (DIMEG) University of Calabria Via Bucci 42C, Arcavacata di Rende - CS, Italy

Bibliografia

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• [2] D. Menniti, A. Pinnarelli, N. Sorrentino, G. Belli, A. Burgio, “Demand Response Program in an Energy District with storage availability”, International Review of Electrical Engineering, in press.
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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).