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STOCHASTIC GEOMETRY PLANNING OF ELECTRIC VEHICLES CHARGING STATIONS

Citation Author(s):
Rachad Atat, Muhammad Ismail, and Erchin Serpedin
Submitted by:
Rachad Atat
Last updated:
13 May 2020 - 5:04pm
Document Type:
Presentation Slides
Document Year:
2020
Event:
Presenters:
Rachad Atat
Paper Code:
2663
 

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.

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