access icon free Optimal location and sizing of fast charging stations for electric vehicles by incorporating traffic and power networks

© The Institution of Engineering and Technology
Received 24/08/2017, Accepted 28/06/2018, Revised 13/04/2018, Published 20/07/2018

Widespread adoption of electric vehicles (EVs) relies on a dependable public charging station (CS) network. CS locations should assure that vehicle users can reach the CS within the EV driving area. This study introduces a technique for optimal location and sizing of fast CSs (FCSs) that considers transportation loss, grid power loss and build-up costs. Google Maps API, battery state of charge, road traffic density and grid power losses are considered in the suggested method. A recently introduced binary lightning search algorithm is also implemented as an optimisation technique for FCS planning. The capability of the suggested method was tested in an urban area. Results reveal that the suggested technique can obtain the optimal location and sizing of FCS that can aid EV drivers, FCS builders and the utility grid. Furthermore, the suggested method obtained more realistic results compared with the traditional methods.

Inspec keywords: electric vehicle charging; power engineering computing; optimisation; search problems; battery powered vehicles; cartography; road traffic; application program interfaces; power grids; mobile computing

Other keywords: power networks; road traffic density; electric vehicles; battery state-of-charge; EV driving area; public charging station network; optimal sizing; binary lightning search algorithm; traffic networks; optimal location; transportation loss; utility grid; build-up costs; fast charging stations; optimisation technique; grid power losses; Google Maps API; FCS planning

Subjects: Power engineering computing; Geography and cartography computing; Transportation; Mobile, ubiquitous and pervasive computing; Optimisation techniques; General utility programs; Traffic engineering computing; Optimisation techniques

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