The widespread diffusion of Electric Vehicles (EVs) gives a concrete answer to the growing environmental problems linked to the mobility in urban areas. This paper deals with a particular management problem related to the EVs charging operations: the integration of the EVs with the power distribution system. Possible electrical grid disruptions due to uncoordinated charging operations and the need of guaranteeing to drivers a certain level of confidence while travelling with an EV explain the efforts in the identification of a smart approach for the EVs charging management problem. In this work, a hierarchical mathematical programming approach is considered and a system made up of two interdependent optimization models is introduced in order to identify the optimum spatial and temporal scheduling of EVs charging operations in an urban area served by several charging stations. Moreover, a Mixed Integer Linear Programming (MILP) formulation for the Vehicle-to-Charging Station Assignment Problem is proposed and a preliminary example of application is presented.
Smart Management of Electric Vehicles Charging Operations: the Vehicle-to-Charging Station Assignment Problem / M., Clemente; Fanti, M. P.; W., Ukovich. - ELETTRONICO. - (2014), pp. 918-923. (Intervento presentato al convegno 19th World Congress of the International Federation of Automatic Control, IFAC 2014 tenutosi a Cape Town, South Africa nel 24-29 August 2014) [10.3182/20140824-6-ZA-1003.01061].
Smart Management of Electric Vehicles Charging Operations: the Vehicle-to-Charging Station Assignment Problem
Fanti M. P.;
2014-01-01
Abstract
The widespread diffusion of Electric Vehicles (EVs) gives a concrete answer to the growing environmental problems linked to the mobility in urban areas. This paper deals with a particular management problem related to the EVs charging operations: the integration of the EVs with the power distribution system. Possible electrical grid disruptions due to uncoordinated charging operations and the need of guaranteeing to drivers a certain level of confidence while travelling with an EV explain the efforts in the identification of a smart approach for the EVs charging management problem. In this work, a hierarchical mathematical programming approach is considered and a system made up of two interdependent optimization models is introduced in order to identify the optimum spatial and temporal scheduling of EVs charging operations in an urban area served by several charging stations. Moreover, a Mixed Integer Linear Programming (MILP) formulation for the Vehicle-to-Charging Station Assignment Problem is proposed and a preliminary example of application is presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
