Electric Vehicles Charging Control based on Future Internet Generic Enablers

TL;DR

This paper explores how Future Internet Generic Enablers can enhance electric vehicle smart charging by improving communication, control, and grid reconfiguration, leading to more flexible and responsive charging management.

Contribution

It introduces the application of CDI and NetIC Generic Enablers for EV charging control and grid reconfiguration within a standardized Smart Grid framework.

Findings

Enhanced driver feedback capture during grid contingencies

Dynamic reconfiguration of EV charging stations based on grid needs

Improved communication infrastructure for EV charging management

Abstract

In this paper a rationale for the deployment of Future Internet based applications in the field of Electric Vehicles (EVs) smart charging is presented. The focus is on the Connected Device Interface (CDI) Generic Enabler (GE) and the Network Information and Controller (NetIC) GE, which are recognized to have a potential impact on the charging control problem and the configuration of communications networks within reconfigurable clusters of charging points. The CDI GE can be used for capturing the driver feedback in terms of Quality of Experience (QoE) in those situations where the charging power is abruptly limited as a consequence of short term grid needs, like the shedding action asked by the Transmission System Operator to the Distribution System Operator aimed at clearing networks contingencies due to the loss of a transmission line or large wind power fluctuations. The NetIC GE can be used when a master Electric Vehicle Supply Equipment (EVSE) hosts the Load Area Controller, responsible for managing simultaneous charging sessions within a given Load Area (LA); the reconfiguration of distribution grid topology results in shift of EVSEs among LAs, then reallocation of slave EVSEs is needed. Involved actors, equipment, communications and processes are identified through the standardized framework provided by the Smart Grid Architecture Model (SGAM).