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- W4383669936 abstract "Large-scale penetration plug-in electric vehicles (PEV) in a distribution system (DS) is a mandate due to its environment friendly applicability but it also increases the overall demand for the system. Extensive use of PEV demands for properly positioned electric vehicle charging station (EVCS) as the improper placement will affect the technical performance of the system in terms of voltage profile and stability, losses, to name a few. To facilitate proper EVCS positioning, this paper puts forward a lucid, apparent power loss-dependent technique applicable for voltage, frequency, and time-dependent loads. Reformulating and then considering the initial State of Charge (SOCini) of the PEV, the net optimum demand on a charging station is computed using Bayesian optimization technique. A best possible combinational set of PEVs with proportionate distance coverage is considered for demand computation at a charging station and finally EVCS positioning is validated by the results obtained by computation of two standard assessment indices." @default.
- W4383669936 created "2023-07-09" @default.
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- W4383669936 date "2023-01-01" @default.
- W4383669936 modified "2023-09-25" @default.
- W4383669936 title "Optimum Positioning of Electric Vehicle Charging Station in a Distribution System Considering Dependent Loads" @default.
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- W4383669936 doi "https://doi.org/10.1007/978-981-99-0483-9_38" @default.
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