Details

Autor(en) / Beteiligte

• Bansal, Hari Om
• Ajmera, Pawan K
• Joshi, Sandeep
• Bansal, Ramesh C
• Shekhar, Chandra

Titel

Optimum Positioning of Electric Vehicle Charging Station in a Distribution System Considering Dependent Loads

Ist Teil von

• Next Generation Systems and Networks, 2023, Vol.641, p.469-480

Ort / Verlag

Singapore: Springer

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.