This paper presents and discusses the electromobility management system developed in the context of the "SMARTV2G" project, enabling the automatic control of plug-in electric vehicles' (PEVs') charging processes. The paper describes the architecture and the software/hardware components of the electromobility management system. The focus is put in particular on the implementation of a centralized demand side management control algorithm, which allows remote real time control of the charging stations in the field, according to preferences and constraints expressed by all the actors involved (in particular the distribution system operator and the PEV users). The results of the field tests are reported and discussed, highlighting critical issues raised from the field experience.

Smart Vehicle to Grid Interface Project: Electromobility Management System Architecture and Field Test Results / Zuccaro, Letterio; DI GIORGIO, Alessandro; Liberati, Francesco; Canale, Silvia; Lanna, Andrea; V., Fernandez Pallares; A., Mart nez Blanco; R., Urbano Escobar; J., Ratej; B., Mehle; U., Krisper. - ELETTRONICO. - (2014), pp. ?-?. (Intervento presentato al convegno IEEE International Electric Vehicle Conference 2014 tenutosi a Florence, Italy nel 17-19 Dec 2014) [10.1109/IEVC.2014.7056175].

Smart Vehicle to Grid Interface Project: Electromobility Management System Architecture and Field Test Results

ZUCCARO, LETTERIO;DI GIORGIO, ALESSANDRO;LIBERATI, FRANCESCO;CANALE, Silvia;LANNA, ANDREA;
2014

Abstract

This paper presents and discusses the electromobility management system developed in the context of the "SMARTV2G" project, enabling the automatic control of plug-in electric vehicles' (PEVs') charging processes. The paper describes the architecture and the software/hardware components of the electromobility management system. The focus is put in particular on the implementation of a centralized demand side management control algorithm, which allows remote real time control of the charging stations in the field, according to preferences and constraints expressed by all the actors involved (in particular the distribution system operator and the PEV users). The results of the field tests are reported and discussed, highlighting critical issues raised from the field experience.
2014
IEEE International Electric Vehicle Conference 2014
plugin electric vehicles; electric vehicle supply equipment; demand side management; model predictive control
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Smart Vehicle to Grid Interface Project: Electromobility Management System Architecture and Field Test Results / Zuccaro, Letterio; DI GIORGIO, Alessandro; Liberati, Francesco; Canale, Silvia; Lanna, Andrea; V., Fernandez Pallares; A., Mart nez Blanco; R., Urbano Escobar; J., Ratej; B., Mehle; U., Krisper. - ELETTRONICO. - (2014), pp. ?-?. (Intervento presentato al convegno IEEE International Electric Vehicle Conference 2014 tenutosi a Florence, Italy nel 17-19 Dec 2014) [10.1109/IEVC.2014.7056175].
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