This paper presents a real time control strategy for energy storage systems integration in electric vehicles fast charging applications combined with generation from intermittent renewable energy sources. A two steps approach taking advantage of the model predictive control methodology is designed on purpose to optimally allocate the reference charging power while managing the priority among the plugged vehicles and then control the storage for efficiently sustaining the charging process. Two different use cases are considered: in the former the charging area is disconnected from the grid, so that the objective is to minimize the deviation of electric vehicles charging power from the nominal value; in the latter the focus is on the point of connection to the grid and the need of mitigating the related power flow. In both cases the fundamental requirement for feasible control system operation is to guarantee stability of the storage's state of charge over the time. Simulation results are provided and discussed in detail, showing the effectiveness of the proposed approach.

On the control of energy storage systems for electric vehicles fast charging in service areas / DI GIORGIO, Alessandro; Liberati, Francesco; Germanà, Roberto; Presciuttini, Marco; RICCIARDI CELSI, Lorenzo; DELLI PRISCOLI, Francesco. - (2016), pp. 955-960. (Intervento presentato al convegno 24th Mediterranean Conference on Control and Automation, MED 2016 tenutosi a Athens; Greece nel 2016) [10.1109/MED.2016.7535947].

On the control of energy storage systems for electric vehicles fast charging in service areas

DI GIORGIO, ALESSANDRO
;
LIBERATI, FRANCESCO;Germanà, Roberto;RICCIARDI CELSI, LORENZO;DELLI PRISCOLI, Francesco
2016

Abstract

This paper presents a real time control strategy for energy storage systems integration in electric vehicles fast charging applications combined with generation from intermittent renewable energy sources. A two steps approach taking advantage of the model predictive control methodology is designed on purpose to optimally allocate the reference charging power while managing the priority among the plugged vehicles and then control the storage for efficiently sustaining the charging process. Two different use cases are considered: in the former the charging area is disconnected from the grid, so that the objective is to minimize the deviation of electric vehicles charging power from the nominal value; in the latter the focus is on the point of connection to the grid and the need of mitigating the related power flow. In both cases the fundamental requirement for feasible control system operation is to guarantee stability of the storage's state of charge over the time. Simulation results are provided and discussed in detail, showing the effectiveness of the proposed approach.
2016
24th Mediterranean Conference on Control and Automation, MED 2016
Control and Systems Engineering; Control and Optimization; Modeling and Simulation
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
On the control of energy storage systems for electric vehicles fast charging in service areas / DI GIORGIO, Alessandro; Liberati, Francesco; Germanà, Roberto; Presciuttini, Marco; RICCIARDI CELSI, Lorenzo; DELLI PRISCOLI, Francesco. - (2016), pp. 955-960. (Intervento presentato al convegno 24th Mediterranean Conference on Control and Automation, MED 2016 tenutosi a Athens; Greece nel 2016) [10.1109/MED.2016.7535947].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/937187
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