Latest revision as of 20:27, 22 March 2021

Abstract

The advent of alternative vehicle technologies such as Electrical Vehicles (EVs) is an efficient effort to reduce the emission of carbon oxides and nitrogen oxides. Ironically, EVs poses concerns related to vehicle recharging and management. Due to the significance of charging station infrastructure, electric vehicles’ charging stations deployment is investigated in this work. Its aim is to consider several limitations such as the power of charging station, the average time needed for each recharge, and traveling distance per day. Initially, a mathematical formulation of the problem is framed. Then, this problem is optimized by application of Genetic Algorithm (GA), with the objective to calculate the necessary number of charging stations then finding the best positions to locate them to satisfy the clients demand.

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The different versions of the original document can be found in:

• http://dx.doi.org/10.3390/su10041076 under the license https://creativecommons.org/licenses/by

• http://hdl.handle.net/11311/1079990 under the license https://creativecommons.org/licenses/by/4.0

• http://hdl.handle.net/11311/1079992

• https://www.mdpi.com/2071-1050/10/4/1076/pdf

• http://www.mdpi.com/2071-1050/10/4/1076,

https://doaj.org/toc/2071-1050 under the license cc-by

• http://www.mdpi.com/2071-1050/10/4/1076/pdf,

http://dx.doi.org/10.3390/su10041076

• https://www.wseas.org/multimedia/journals/environment/2018/a965915-388.pdf,

https://re.public.polimi.it/handle/11311/1079990,

https://www.wseas.org/multimedia/journals/environment/2018/a965915-388.php,

https://core.ac.uk/display/153595392,

https://academic.microsoft.com/#/detail/2796314113 under the license https://creativecommons.org/licenses/by/4.0/