Optimal Placement and Sizing of Electric Vehicle Charging Stations and Renewable Distributed Generation on Radial Distribution Network in India Using DIgSILENT Power Factory Software

Features
Authors
Abstract
Content
The integration of electric vehicle charging station (EVCS) and renewable distribution generation (RDG) in the grid affects the grid voltage, power losses, and system instability in the distribution system, therefore the article presents an approach for optimal placement and sizing of EVCS and RDG using an optimization approach named as modified particle swarm optimization (MOPSO) in radial distribution network (RDN). The efficacy of the optimization approach is demonstrated under both balanced and unbalanced dynamic load conditions in the IEEE 33-bus system. The influence of EVs and RDG on the RDN is analyzed by considering the maximum possible cases, e.g., 13 different scenarios, which replicate real-world scenarios. These results are validated using DIgSILENT Power Factory Software. The proposed research also covers Techno-Economic Assessment using HOMER software, which may enhance visibility of the renewable distribution generation importance in the current scenario.
Meta TagsDetails
Pages
26
Citation
Kumar, S. and Agarwal, R., "Optimal Placement and Sizing of Electric Vehicle Charging Stations and Renewable Distributed Generation on Radial Distribution Network in India Using DIgSILENT Power Factory Software," SAE Int. J. Elec. Veh. 15(1), 2026, .
Additional Details
Publisher
Published
Mar 06
Product Code
14-15-01-0006
Content Type
Journal Article
Language
English