In this paper, the optimization of a microgrid operating in a 'urban district-like' environment is considered, combining both the optimal scheduling of the microgrid sources and demand response strategies, implemented in the district buildings. In particular, the overall system is optimized in order to schedule generation plants, storage systems, electrical vehicles, deferrable and variable loads with the minimum daily operating costs, taking also into account network constraints. Binary and auxiliary variables have been used to reduce the nonlinearity of the model. Moreover, a technique based on Model Predictive Control (MPC) is proposed to minimize uncertainties coming from renewable resources and to reduce the complexity of the overall decision problem solution. The proposed approach has been developed exploiting, as a reference and practical test-case, the Savona Campus of the Genoa University, where the research infrastructure Smart Polygeneration Microgrid (SPM) is in operation; day-ahead optimization results have been compared with those of the proposed MPC approach.

A model predictive control approach for the optimization of polygeneration microgrids and demand response strategies

BRACCO, STEFANO;DELFINO, FEDERICO;PROCOPIO, RENATO;ROSSI, MANSUETO;ROBBA, MICHELA
2016-01-01

Abstract

In this paper, the optimization of a microgrid operating in a 'urban district-like' environment is considered, combining both the optimal scheduling of the microgrid sources and demand response strategies, implemented in the district buildings. In particular, the overall system is optimized in order to schedule generation plants, storage systems, electrical vehicles, deferrable and variable loads with the minimum daily operating costs, taking also into account network constraints. Binary and auxiliary variables have been used to reduce the nonlinearity of the model. Moreover, a technique based on Model Predictive Control (MPC) is proposed to minimize uncertainties coming from renewable resources and to reduce the complexity of the overall decision problem solution. The proposed approach has been developed exploiting, as a reference and practical test-case, the Savona Campus of the Genoa University, where the research infrastructure Smart Polygeneration Microgrid (SPM) is in operation; day-ahead optimization results have been compared with those of the proposed MPC approach.
2016
978-150902319-6
File in questo prodotto:
File Dimensione Formato  
PAPER_368_FI.pdf

accesso chiuso

Tipologia: Documento in versione editoriale
Dimensione 275.07 kB
Formato Adobe PDF
275.07 kB 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/11567/846657
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 1
social impact