Stochastic Geometry Planning of Electric Vehicles Charging Stations
Rachad Atat, Muhammad Ismail, Erchin Serpedin
Abstract
Smart grids are faced with the challenge of meeting the ever increasing load demands of electric vehicles (EVs). To provide acceptable charging services, operators need to be equipped with an efficient charging stations (CSs) planning strategy. Unfortunately, existing planning solutions are quite limited. They normally rely on standard IEEE bus systems or power grids that are specific to certain cities. In this paper, using stochastic geometry, we formulate the CSs planning on a stochastic geometry-based power grid model, that we previously showed to mimic real-world power grids. We study the effect of the density of EVs and the technical charging constraints on the minimum number of CSs to install.
BibTeX
@inproceedings{icassp2020_stochasticgeomet,
title = {Stochastic Geometry Planning of Electric Vehicles Charging Stations},
author = {Rachad Atat and Muhammad Ismail and Erchin Serpedin},
booktitle = {ICASSP 2020},
year = {2020}
}