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Optimal placement of charging stations for electric vehicles in large-scale transportation networks

Fredriksson, Henrik (author)
Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap
Dahl, Mattias (author)
Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap
Holmgren, Johan (author)
Malmö universitet,Institutionen för datavetenskap och medieteknik (DVMT),Malmö Högskola, SWE
 (creator_code:org_t)
Elsevier B.V. 2019
2019
English.
In: Procedia Computer Science. - : Elsevier B.V.. ; 160, s. 77-84
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • This paper presents a new practical approach to optimally allocate charging stations in large-scale transportation networks for electric vehicles (EVs). The problem is of particular importance to meet the charging demand of the growing fleet of alternative fuel vehicles. Considering the limited driving range of EVs, there is need to supply EV owners with accessible charging stations to reduce their range anxiety. The aim of the Route Node Coverage (RNC) problem, which is considered in the current paper, is to find the minimum number of charging stations, and their locations in order to cover the most probable routes in a transportation network. We propose an iterative approximation technique for RNC, where the associated Integer Problem (IP) is solved by exploiting a probabilistic random walk route selection, and thereby taking advantage of the numerical stability and efficiency of the standard IP software packages. Furthermore, our iterative RNC optimization procedure is both pertinent and straightforward to implement in computer coding and the design technique is therefore highly applicable. The proposed optimization technique is applied on the Sioux-Falls test transportation network, and in a large-scale case study covering the southern part of Sweden, where the focus is on reaching the maximum coverage with a minimum number of charging stations. The results are promising and show that the flexibility, smart route selection, and numerical efficiency of the proposed design technique, can pick out strategic locations for charging stations from thousands of possible locations w ithout numerical difficulties. ©2019 Hie Authors. Published by Elsevier B.V.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Naturresursteknik -- Energisystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Environmental Engineering -- Energy Systems (hsv//eng)

Keyword

Charging stations
Clectric vehicle
Optimal placement
Route node coverage
Transportation network
Charging (batteries)
Data communication systems
Efficiency
Electric vehicles
Fleet operations
Health care
Internet protocols
Iterative methods
Location
Alternative fuel vehicles
Charging station
Iterative approximations
Large-scale transportation
Node coverage
Optimal placements
Optimization techniques
Transportation routes

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Fredriksson, Hen ...
Dahl, Mattias
Holmgren, Johan
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ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Civil Engineerin ...
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ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
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Blekinge Institute of Technology
Malmö University

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