The growing interest in meeting '20-20-20' European commitment has led towards enhancing renewable energy source deployment and fossil fuel use reduction. Distributed generation systems and thus microgrids represent an important research focus for their capability to allow of high penetration of renewables in the land as well as reducing carbon footprint. It is well known that microgrid performances and reliability strongly depend on generators and load interaction, highlighting the importance in developing a proper energy management strategy. A Model Predictive Control logic has been already applied to a model of a domestic microgrid composed of PV panels, Fuel Cell (FC) and a battery pack. This work presents results obtained with an experimental microgrid test bench developed to validate results previously obtained only numerically. Two controller levels have been developed to that aim, to deal both with low level component management and high level supervision by the MPC controller.. Results showed a stable and reliable operation of the microgrid, referring to two main strategies (SOC follow and FC follow), having different characteristics in terms of battery and fuel cell behavior over time.

Bifaretti, S., Bonaiuto, V., Bruni, G., Cordiner, S., Mulone, V., Paglia, C., et al. (2015). Domestic microgrid energy management: Model Predictive Control strategies experimental validation. In 2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings (pp.2221-2225). IEEE [10.1109/EEEIC.2015.7165527].

Domestic microgrid energy management: Model Predictive Control strategies experimental validation

BIFARETTI, STEFANO;BONAIUTO, VINCENZO;BRUNI, GIANCARLO;CORDINER, STEFANO;MULONE, VINCENZO;
2015-06-01

Abstract

The growing interest in meeting '20-20-20' European commitment has led towards enhancing renewable energy source deployment and fossil fuel use reduction. Distributed generation systems and thus microgrids represent an important research focus for their capability to allow of high penetration of renewables in the land as well as reducing carbon footprint. It is well known that microgrid performances and reliability strongly depend on generators and load interaction, highlighting the importance in developing a proper energy management strategy. A Model Predictive Control logic has been already applied to a model of a domestic microgrid composed of PV panels, Fuel Cell (FC) and a battery pack. This work presents results obtained with an experimental microgrid test bench developed to validate results previously obtained only numerically. Two controller levels have been developed to that aim, to deal both with low level component management and high level supervision by the MPC controller.. Results showed a stable and reliable operation of the microgrid, referring to two main strategies (SOC follow and FC follow), having different characteristics in terms of battery and fuel cell behavior over time.
IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC 2015)
Roma
2015
15
IEEE
Rilevanza internazionale
contributo
giu-2015
Settore ING-IND/32 - CONVERTITORI, MACCHINE E AZIONAMENTI ELETTRICI
Settore ING-IND/31 - ELETTROTECNICA
Settore ING-IND/33 - SISTEMI ELETTRICI PER L'ENERGIA
English
Distributed Generation; Fuel Cells; Introduction; Microgrids; Model Predictive Control; Electrical and Electronic Engineering; Energy Engineering and Power Technology
Intervento a convegno
Bifaretti, S., Bonaiuto, V., Bruni, G., Cordiner, S., Mulone, V., Paglia, C., et al. (2015). Domestic microgrid energy management: Model Predictive Control strategies experimental validation. In 2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings (pp.2221-2225). IEEE [10.1109/EEEIC.2015.7165527].
Bifaretti, S; Bonaiuto, V; Bruni, G; Cordiner, S; Mulone, V; Paglia, C; Spagnolo, F; Nguyen, H
File in questo prodotto:
Non ci sono file associati a questo prodotto.

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/2108/155429
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? 3
social impact