The integration of distributed storage systems (DSSs) at users and prosumers level can significantly contribute to energy efficiency and increase profits from renewable energy exploitation, thanks to suitable scheduling of charging and discharging periods. On the other hand, to preserve network stability and secure operation, Distribution Systems Operators (DSOs) are interested in DSSs control and cooperation with the grid. In this framework this work proposes a simple monitoring and management system for DSSs scheduling and its integration in a distributed measurement and control system architecture for smart grids. In the paper the proposed algorithm is tested on a simple case study at home level; the obtained results show its feasibility in addressing both users/prosumers economic interests and DSOs needs for grid secure operation.

A monitoring and management system for energy storage integration in smart grids

Panzavecchia Nicola;Tine Giovanni;Antonucci Vincenzo;Ferraro Marco;Sergi Francesco
2019

Abstract

The integration of distributed storage systems (DSSs) at users and prosumers level can significantly contribute to energy efficiency and increase profits from renewable energy exploitation, thanks to suitable scheduling of charging and discharging periods. On the other hand, to preserve network stability and secure operation, Distribution Systems Operators (DSOs) are interested in DSSs control and cooperation with the grid. In this framework this work proposes a simple monitoring and management system for DSSs scheduling and its integration in a distributed measurement and control system architecture for smart grids. In the paper the proposed algorithm is tested on a simple case study at home level; the obtained results show its feasibility in addressing both users/prosumers economic interests and DSOs needs for grid secure operation.
2019
Istituto di Tecnologie Avanzate per l'Energia - ITAE
Istituto di iNgegneria del Mare - INM (ex INSEAN)
9781538634608
Demande side response
Distributed generation
Distributed measurement system
Energy storage
Optimization
PSO
Scheduling
Sizing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/364628
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