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المؤلفAhmad, Fareed
المؤلفIqbal, Atif
المؤلفAshraf, Imtiaz
المؤلفMarzband, Mousa
المؤلفKhan, Irfan
تاريخ الإتاحة2023-05-21T08:32:46Z
تاريخ النشر2022
اسم المنشورEnergy Sources, Part A: Recovery, Utilization and Environmental Effects
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1080/15567036.2022.2055233
معرّف المصادر الموحدhttp://hdl.handle.net/10576/43112
الملخصRecently, electric vehicles (EVs) gained tremendous attention from government agencies and the automotive industry due to lower CO2 emissions, low maintenance, and operating costs. However, due to increasing EV penetration, the EV's load affects the distribution network parameters like power loss, voltage profile, and harmonic distortion. Therefore, the proper placement of EV fast-charging stations (FCSs) is required for the reliability of the distribution network. Further, this paper proposes two-stage processes for the placement of FCSs. In the first stage, the charging station owner decision index (CSODI) has been introduced considering the land cost index (LCI) and electric vehicle flow index (EVFI). The CSODI has been formulated to minimize the land cost and maximize the EVs flow for FCSs placement. In the next stage, an optimization problem is formulated for minimizing the total active power loss by considering the distribution system operator (DSO) constraints. In addition, the minimization problem has been solved using the hybrid gray wolf optimization-particle swarm optimization (GWOPSO) algorithm. Therefore, the best possible locations were obtained by the GWOPSO with 198.93 kW power loss. Furthermore, the average 2.02% power loss for the GWOPSO technique is lower when compared to the PSO technique. 2022 Taylor & Francis Group, LLC.
راعي المشروعThis work was supported by the Qatar National Research Fund [13S-0108-20008].
اللغةen
الناشرTaylor and Francis Ltd.
الموضوعelectric vehicle population
Fast-charging stations
gray wolf optimization
land cost index
optimal placement
العنوانPlacement of electric vehicle fast charging stations in distribution network considering power loss, land cost, and electric vehicle population
النوعArticle
الصفحات1693-1709
رقم العدد1
رقم المجلد44
dc.accessType Abstract Only


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