The exploitation of combined PhotoVoltaic plants and storage systems is nowadays assuming growing importance, due to the technical, environmental and economical benefits which can derive from an optimal integration. In this paper, a mixed-integer algorithm for the optimal dispatch of a storage system, based on the day-ahead photovoltaic forecasting is developed. The optimization objective is the maximization of the total production of the integrated system, according to a requested active power profile, which can be defined by the operator. The study case of an existing Distribution Management System, which operates on the Low Voltage microgrid at University of Genova is analyzed. The procedure is validated by field results with particular attention to the storage round-trip efficiency.

Mixed-Integer Algorithm for Optimal Dispatch of Integrated PV-Storage Systems

Conte, Francesco;D'Agostino, Fabio;Pongiglione, Paola;Saviozzi, Matteo;Silvestro, Federico
2019-01-01

Abstract

The exploitation of combined PhotoVoltaic plants and storage systems is nowadays assuming growing importance, due to the technical, environmental and economical benefits which can derive from an optimal integration. In this paper, a mixed-integer algorithm for the optimal dispatch of a storage system, based on the day-ahead photovoltaic forecasting is developed. The optimization objective is the maximization of the total production of the integrated system, according to a requested active power profile, which can be defined by the operator. The study case of an existing Distribution Management System, which operates on the Low Voltage microgrid at University of Genova is analyzed. The procedure is validated by field results with particular attention to the storage round-trip efficiency.
File in questo prodotto:
File Dimensione Formato  
TIA 2018.pdf

accesso chiuso

Tipologia: Documento in versione editoriale
Dimensione 2.17 MB
Formato Adobe PDF
2.17 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

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/11567/930953
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 35
  • ???jsp.display-item.citation.isi??? 24
social impact