This paper proposes a control strategy for an Energy Storage System (ESS) installed on a secondary substation of an electricity distribution line in order to mitigate power variations with respect to the day-ahead planning caused by renewable energy sources on the distribution line.In particular, the aim of the controller is to keep the power profile of at primary substations close to a reference profile foreseen on a day-ahead basis while guaranteeing the stable operation of its ESS, in terms of their state-of-charge dynamics. The inclusion of the ESS contribution to the network operation is attained by the integration of properly defined power flow constraints in a Model Predictive Control Framework. The proposed approach has been validated through numerical simulations, representative of real operative scenarios.
Model Predictive Control of Energy Storage Systems for Power Regulation in Electricity Distribution Networks / Giuseppi, A.; De Santis, E.; Di Giorgio, A.. - (2019), pp. 3365-3370. (Intervento presentato al convegno 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) tenutosi a Bari; Italia) [10.1109/SMC.2019.8914059].
Model Predictive Control of Energy Storage Systems for Power Regulation in Electricity Distribution Networks
Giuseppi A.
;De Santis E.;Di Giorgio A.
2019
Abstract
This paper proposes a control strategy for an Energy Storage System (ESS) installed on a secondary substation of an electricity distribution line in order to mitigate power variations with respect to the day-ahead planning caused by renewable energy sources on the distribution line.In particular, the aim of the controller is to keep the power profile of at primary substations close to a reference profile foreseen on a day-ahead basis while guaranteeing the stable operation of its ESS, in terms of their state-of-charge dynamics. The inclusion of the ESS contribution to the network operation is attained by the integration of properly defined power flow constraints in a Model Predictive Control Framework. The proposed approach has been validated through numerical simulations, representative of real operative scenarios.File | Dimensione | Formato | |
---|---|---|---|
Giuseppi_Model-Predictive-Control_2019.pdf
solo gestori archivio
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
707.24 kB
Formato
Adobe PDF
|
707.24 kB | Adobe PDF | Contatta l'autore |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.