Exploiting Electric Vehicles Mobility to Reduce Grid Dependency in Transit Areas

Wenjing Shuai (1, 2) , Patrick Maillé (1, 2) , Alexander Pelov (1, 2)

1 OCIF - Objets communicants pour l'Internet du futur
2 RSM - Département Réseaux, Sécurité et Multimédia

The soaring electricity demand due to Electric Vehicles (EVs) increases the urgency of the evolution from the power grid to the so-called smart grid, to manage demand peaks with minimal infrastructure costs. In this paper, we propose an approach close to Vehicle-to- Grid, where EVs can give back some energy from their batteries during peak times. But we also use EVs as energy transporters, by taking their energy where it is consumed. A typical example is a shopping mall with energy needs, benefiting from customers coming and going to alleviate its grid-based consumption, while EV owners make profits by reselling energy bought at off-peak periods. Based on a simple model for EV mobility, energy storage, and electricity pricing, we quantify the reduction in energy costs for the EV-supported system, and investigate the conditions for this scenario to be viable.

Mots clés: Electric vehicle; Economics; Incentives; Optimization

Domaines: Multimédia [cs.MM]; Réseaux et télécommunications [cs.NI]; Energie électrique

Wenjing Shuai, Patrick Maillé, Alexander Pelov. Exploiting Electric Vehicles Mobility to Reduce Grid Dependency in Transit Areas. ENERGYCON 2016 : IEEE International Energy Conference, Apr 2016, Leuven, Belgium. pp.1 - 6, ⟨10.1109/ENERGYCON.2016.7513999⟩. ⟨hal-01375939⟩