Charging and Storage Infrastructure Design for Electric Vehicles

Abstract

Ushered by recent developments in various areas of science and technology, modern energy systems are going to be an inevitable part of our societies. Smart grids are one of these modern systems that have attracted many research activities in recent years. Before utilizing the next generation of smart grids, we should have a comprehensive understanding of the interdependent energy networks and processes. Nextgeneration energy systems networks cannot be effectively designed, analyzed, and controlled in isolation from the social, economic, sensing, and control contexts in which they operate. In this paper we present a novel framework to support charging and storage infrastructure design for electric vehicles. We develop coordinated clustering techniques to work with network models of urban environments to aid in placement of charging stations for an electrical vehicle deployment scenario. Furthermore, we evaluate the network before and after the deployment of charging stations, to recommend the installation of appropriate storage units to overcome the extra load imposed on the network by the charging stations. We demonstrate the multiple factors that can be simultaneously leveraged in our framework in order to achieve practical urban deployment. Our ultimate goal is to help realize sustainable energy system management in urban electrical infrastructure by modeling and analyzing networks of interactions between electric systems and urban populations.

Optimum Network of Battery Storage to Support Electric Vehicle Charging Infrastructure in Smart Cities

“…Although they used a lifecycle cost analysis approach to comparing different storage systems, the operational costs of fast chargers were not discussed. Momtazpour, et al [20] demonstrated a systematic data-mining method that can be used to identify locations for placing charging and storage infrastructure; but they did not consider some important measures such as battery life, energy storage, and economic performance. In summary, most studies do not integrate the battery storage system into the EV charging infrastructure's design and construction process.…”

Deploying public charging stations for electric vehicles on urban road networks

“…One typical approach is to apply clustering techniques to point recharging http://dx.doi.org/10.1016/j.trc.2015.08.018 0968-090X/Ó 2015 Elsevier Ltd. All rights reserved. demands and then deploy stations to the cluster centers (e.g., Ip et al, 2010;Momtazpour et al, 2014). The flow-capturing approach aims at locating charging stations to maximize the amount of traffic flow that travels along a path with at least one station (Hodgson, 1990;Berman et al, 1992Berman et al, , 1995Hodgson and Berman, 1997;Shukla et al, 2011).…”

Placement of Infrastructure for Urban Electromobility: A Sustainable Approach

“…Definition of spatial criteria for EV charging station (CS) placement, based on infrastructure, city features, urban planning, and EV user profiles [18,25,[30][31][32][33][34][35][36][37].  Geometric, mathematical, and statistical modeling-such as multicriteria analysis and clustering, geographic information system (GIS), databanks [30,32,35,[38][39][40][41][42], and social networks [43].  Studies on the demand for electric charging, batteries, and the impact of charging stations on electric grids [19,29,32,39,41,42,[44][45][46].…”

“… Geometric, mathematical, and statistical modeling-such as multicriteria analysis and clustering, geographic information system (GIS), databanks [30,32,35,[38][39][40][41][42], and social networks [43].  Studies on the demand for electric charging, batteries, and the impact of charging stations on electric grids [19,29,32,39,41,42,[44][45][46].  Several authors make prescriptions for EV charge-point rating, optimizing their allocation.…”

“…Studies on the demand for electric charging, batteries, and the impact of charging stations on electric grids [19,29,32,39,41,42,[44][45][46]. • Several authors make prescriptions for EV charge-point rating, optimizing their allocation.…”