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.

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. [10.1109/MELECON48756.2020.9140566].

Implementation of a Management System for Prosumer Energy Storage Scheduling in Smart Grids

Artale G.;Caravello G.;Cataliotti A.;Cosentino V.;Panzavecchia N.;
2020

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.
Settore ING-INF/07 - Misure Elettriche E Elettroniche
978-1-7281-5200-4
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. [10.1109/MELECON48756.2020.9140566].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/468084
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