Authors
Djabir Abdeldjalil Chekired, Dhaou Said, Lyes Khoukhi, Hussein Moufath,
Title
Dynamic pricing model for EV charging-discharging service based on cloud computing scheduling
In
2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)
Publisher
IEEE
Year
2017
Publisher's URL
https://ieeexplore.ieee.org/document/7986424
Indexed by
Abstract
Electric Vehicle (EV) and smart grids have gained much popularity in recent years. This has been enabled by the high increase of EVs on roads; however, this may lead to a significant impact on the power grids. In order to keep EVs far from causing peaks in power demand during the day, it is important to perform an intelligent scheduling for EVs charging and discharging by including metrics, such as price and demand-supply curve. In this paper, we propose a dynamic pricing model for EV charging (i.e., grid-to-vehicle, G2V) and discharging (i.e., vehicle-to-grid, V2G) services, in order to reduce the peak load. Our proposed model uses cloud computing architecture to schedule EV requests. We formulate our problem as a linear optimization problem and solve it using new algorithms for charging and discharging. To the best of our knowledge, this is the first paper that proposes a model that tries to solve all the aforementioned issues. The extensive simulations proved that our proposed pricing model, based on cloud computing and EVs interactions, optimizes the energy load during peak hours and satisfies EVs users and micro grid constraints.
Affiliations
Offprint