In order to facilitate the integration of electromo-bility, a plan for the installation of adequate public charging infrastructures is needed. Such infrastructures could impact the operating conditions of electric power distribution networks with particular reference to those serving urban areas. A co-simulation platform integrating an urban traffic simulator with an electric power system simulator can be a useful tool for the analysis of such an impact. The co-simulator used in this paper represents a portion of the medium voltage distribution network of a middle-size Italian city center, where a significant number of charging stations for electric vehicles is already in operation. The paper presents results obtained by including in the simulator the effects of a multi agent strategy that avoids the overloading of power components in the occasion of large charging requests in the periods of peak load.
A co-simulation platform for the analysis of the impact of electromobility scenarios on the urban distribution network / Montori, Federico; Borghetti, Alberto; Napolitano, Fabio. - ELETTRONICO. - (2016), pp. 7740579.1-7740579.6. (Intervento presentato al convegno 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a Better Tomorrow, RTSI 2016 tenutosi a Bologna, Italy nel 2016) [10.1109/RTSI.2016.7740579].
A co-simulation platform for the analysis of the impact of electromobility scenarios on the urban distribution network
MONTORI, FEDERICO;BORGHETTI, ALBERTO;NAPOLITANO, FABIO
2016
Abstract
In order to facilitate the integration of electromo-bility, a plan for the installation of adequate public charging infrastructures is needed. Such infrastructures could impact the operating conditions of electric power distribution networks with particular reference to those serving urban areas. A co-simulation platform integrating an urban traffic simulator with an electric power system simulator can be a useful tool for the analysis of such an impact. The co-simulator used in this paper represents a portion of the medium voltage distribution network of a middle-size Italian city center, where a significant number of charging stations for electric vehicles is already in operation. The paper presents results obtained by including in the simulator the effects of a multi agent strategy that avoids the overloading of power components in the occasion of large charging requests in the periods of peak load.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
