Archivio istituzionale della ricerca dell'Università degli Studi di Palermo
IRIS è il sistema di gestione integrata dei dati della ricerca (persone, pubblicazioni, progetti, attività) adottato dall’Università di Palermo, e ha lo scopo di raccogliere, conservare, documentare, e diffondere ad accesso aperto le informazioni relative alla produzione scientifica degli autori afferenti all’Ateneo.
EnglishScheduling of energy storage systems of distributed generation is a key element for optimal renewable energy sources (RES) exploitation in smart grids, demand side response strategies implementation and prosumers interaction with Distribution System Operators (DSOs). In this context, this paper presents the implementation of a management system for energy storage scheduling, which allows taking appropriate account of the storage system behavior in real cases. To properly consider the real system operation, the employed battery model is modified, in order to include also the hysteresis phenomena in state of charge estimation in both charging and discharging operation. The validation of the proposed methodology is supported by experimental tests which allow comparing two different battery models. The obtained results show that better results can be obtained with the model including the hysteresis effect.
Artale G., Caravello G., Cataliotti A., Cosentino V., Guaiana S., Di Cara D., et al. (2020). Implementation of a Management System for Prosumer Energy Storage Scheduling in Smart Grids. In 20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020 - Proceedings (pp. 547-552). Institute of Electrical and Electronics Engineers Inc..
| Data di pubblicazione: | 2020 |
| Titolo: | Implementation of a Management System for Prosumer Energy Storage Scheduling in Smart Grids |
| Autori: | |
| Citazione: | Artale G., Caravello G., Cataliotti A., Cosentino V., Guaiana S., Di Cara D., et al. (2020). Implementation of a Management System for Prosumer Energy Storage Scheduling in Smart Grids. In 20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020 - Proceedings (pp. 547-552). Institute of Electrical and Electronics Engineers Inc.. |
| Abstract: | Scheduling of energy storage systems of distributed generation is a key element for optimal renewable energy sources (RES) exploitation in smart grids, demand side response strategies implementation and prosumers interaction with Distribution System Operators (DSOs). In this context, this paper presents the implementation of a management system for energy storage scheduling, which allows taking appropriate account of the storage system behavior in real cases. To properly consider the real system operation, the employed battery model is modified, in order to include also the hysteresis phenomena in state of charge estimation in both charging and discharging operation. The validation of the proposed methodology is supported by experimental tests which allow comparing two different battery models. The obtained results show that better results can be obtained with the model including the hysteresis effect. |
| ISBN: | 978-1-7281-5200-4 |
| Digital Object Identifier (DOI): | 10.1109/MELECON48756.2020.9140566 |
| Settore Scientifico Disciplinare: | Settore ING-INF/07 - Misure Elettriche E Elettroniche |
| Appare nelle tipologie: | 2.07 Contributo in atti di convegno pubblicato in volume |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Melecon_2020_09140566_Implementation of a Management System.pdf | Articolo pubblicato | Versione Editoriale | Administrator Richiedi una copia |
Copyright © 2021