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

Giovanni Artale, Nicola Panzavecchia, Valentina Cosentino, Giuseppe Caravello, Antonio Cataliotti, Marco Ferraro, Giovanni Brunaccini, Dario Di Cara, Davide Aloisio, Nicola Panzavecchia, Francesco Sergi, Giovanni Tine, Vincenzo Antonucci

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish
Title of host publication20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020 - Proceedings
Number of pages6
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Information Systems and Management
  • Energy Engineering and Power Technology


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