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AuthorAhmad, Fareed
AuthorIqbal, Atif
AuthorAshraf, Imtiaz
AuthorMarzband, Mousa
AuthorKhan, Irfan
Available date2024-07-21T06:24:20Z
Publication Date2021
Publication Name2021 IEEE Transportation Electrification Conference, ITEC-India 2021
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/ITEC-India53713.2021.9932488
URIhttp://hdl.handle.net/10576/56846
AbstractGovernment organizations and the automotive industry are paying close attention to electric vehicles (EVs) because of their lower CO2 emissions, cheap maintenance, and low operating costs. EVs have a bright future ahead of them and have become increasingly popular as the primary source of new energy, due to which many countries are interested in developing the EV charging infrastructure. The optimal number of charging stations and placement has become a prominent research topic across the world, and these challenges are vital for government planning for EVs. This paper first built a mathematical model to predict the number of EV rapid charging stations (EVRCSs) in the given area. Moreover, a model has been developed to optimize the location of EVRCS in the power distribution network with V2G strategies at the charging stations. The power loss of the distribution network and the transportation cost of EVs from the demand point to EVRCS are considered objective functions for problem formulation. The proposed model for the placement of EVRCS has been tested on the IEEE34 bus system, and power flow was analyzed by using the backward forward sweep algorithm. Results are analyzed for the base case without EVRCS placement, the optimal location of EVRCS without V2G strategies, and the optimal location of EVRCS with V2G strategies.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subjectelectric vehicle
optimal location
rapid charging station
vehicle to grid
TitleOptimal location of Electric Vehicle Rapid Charging Stations in Power Distribution Network and Transportation Network with V2G Strategies
TypeConference Paper
dc.accessType Abstract Only


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