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AuthorAhmad, Fareed
AuthorAshraf, Imtiaz
AuthorIqbal, Atif
AuthorMarzband, Mousa
AuthorKhan, Irfan
Available date2023-05-21T08:32:43Z
Publication Date2022
Publication NameEnergy Reports
ResourceScopus
URIhttp://dx.doi.org/10.1016/j.egyr.2022.09.058
URIhttp://hdl.handle.net/10576/43082
AbstractThe transportation sector is one of the most prevalent fossil fuel users worldwide. Therefore, to mitigate the impacts of carbon-dioxide emissions and reduce the use of non-environmentally friendly traditional energy resources, the electrification of the transportation system, such as the development of electric vehicles (EV), has become crucial. For impeccable EVs deployment, a well-developed charging infrastructure is required. However, the optimal placement of fast charging stations (FCSs) is a critical concern. Therefore, this article provides a functional approach for identifying the optimal location of FCSs using the east delta network (EDN). In addition, the electrical distribution network's infrastructure is susceptible to changes in electrifying the transportation sector. Therefore, actual power loss, reactive power loss, and investment cost are three areas of consideration in deploying FCSs. Furthermore, including FCSs in the electricity distribution network increases the energy demand from the electrical grid. Therefore, this research paper recommends integrating solar-based distributed generations (SDGs) at selected locations in the distribution network, to mitigate the burden of FCSs on the system. Hence, making the system self-sustaining and reliable. In addition, the reliability of the distribution system is also analyzed after deploying the FCSs and SDGs. Furthermore, six case studies (CS) have been proposed to deploy FCSs with or without DG integration. Consequently, the active power loss went from 1014.48 kW to 829.68 kW for the CS-6. 2022 The Author(s)
SponsorThis publication was made possible by NPRP grant # [ NPRP-13S-0108-20008 ] from the Qatar National Research Fund (a member of Qatar Foundation) . The statements made herein are solely the responsibility of the authors. The APC is funded by Qatar National Library, Doha, Qatar .
Languageen
PublisherElsevier
SubjectArtificial Intelligence
Bald eagle search algorithm
Electric vehicle
Fast-charging stations
Optimal placement
Reliability
TitleA novel AI approach for optimal deployment of EV fast charging station and reliability analysis with solar based DGs in distribution network
TypeArticle
Pagination11646-11660
Volume Number8
dc.accessType Open Access


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