Distributed optimization of electric vehicles recharge in an urban environment - DUMAS - Dépôt Universitaire de Mémoires Après Soutenance Access content directly
Master Thesis Year : 2013

Distributed optimization of electric vehicles recharge in an urban environment

Abstract

The era of sustainable development has brought Electric Vehicles (EVs) to the spotlight. Since recharging an electric vehicle can take up to ten or more times the power consumption of a household, an increasing EV penetration in the market poses a challenge for the electricity companies. Using the Internet of Things (IoT) approach, we propose a model where electric vehicles communicate with the electrical grid infrastructure in order to determine the charging station where they should go to. We have consequently built a simulator, mixing both a microscopic traffic simulation and a complete network simulation including radio propagation analysis. In this work we run several simulations over a test map, taking service and network-level metrics, comparing four basic charging station assignment strategies. Our final analysis draws relevant conclusions concerning the fundamental aspects to take into account for developing a distributed system that optimizes the charging station assignation based on real-time network analysis and taking into account the grid's capacity.
Fichier principal
Vignette du fichier
JulianGarbiso.pdf (2.7 Mo) Télécharger le fichier
Loading...

Dates and versions

dumas-00854863 , version 1 (28-08-2013)

Identifiers

  • HAL Id : dumas-00854863 , version 1

Cite

Julian Garbiso. Distributed optimization of electric vehicles recharge in an urban environment. Modeling and Simulation. 2013. ⟨dumas-00854863⟩
269 View
457 Download

Share

Gmail Mastodon Facebook X LinkedIn More