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

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

Ingegneria

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020 - Proceedings
Pages	547-552
Number of pages	6
Publication status	Published - 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

Cite this

Artale, G., Panzavecchia, N., Cosentino, V., Caravello, G., Cataliotti, A., Ferraro, M., Brunaccini, G., Di Cara, D., Aloisio, D., Panzavecchia, N., Sergi, F., Tine, G., & Antonucci, V. (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)

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title = "Implementation of a Management System for Prosumer Energy Storage Scheduling in Smart Grids",

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.",

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

year = "2020",

language = "English",

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T1 - Implementation of a Management System for Prosumer Energy Storage Scheduling in Smart Grids

AU - Artale, Giovanni

AU - Panzavecchia, Nicola

AU - Cosentino, Valentina

AU - Caravello, Giuseppe

AU - Cataliotti, Antonio

AU - Ferraro, Marco

AU - Brunaccini, Giovanni

AU - Di Cara, Dario

AU - Aloisio, Davide

AU - Panzavecchia, Nicola

AU - Sergi, Francesco

AU - Tine, Giovanni

AU - Antonucci, Vincenzo

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10447/468084

M3 - Conference contribution

SN - 978-1-7281-5200-4

SP - 547

EP - 552

BT - 20th IEEE Mediterranean Electrotechnical Conference, MELECON 2020 - Proceedings

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

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