An electricity distribution network comprises of parking lots, electric vehicles, distribution grid, transformers, charging infrastructure, and customer locations. This thesis presents an optimization model for the optimal allocation of parking lots within a distribution system to efficiently supply electric vehicle (EV) loads. The model aims to determine the best capacity and size of parking lots to meet peak hour demands while considering constraints on the permanent operation of the distribution system. Using the Particle Swarm Optimization (PSO) algorithm, the study maximizes total benefits, taking into account data and market prices. Results show that installing parking lots could be economically profitable for distribution companies (DISCOs) and could improve voltage profiles.
The study also explores the impact of battery capacity and charging power rate variations on outcomes, emphasizing the importance of accurately determining these parameters. Additionally, the study highlights the advantages of the proposed approach, including improvements in voltage profiles, reductions in power flow, and enhancements in equipment lifespan. These benefits underscore the potential of the approach to optimize parking lot allocations for EV charging and improve overall distribution network performance and efficiency. Further implementation in suitable locations with appropriate sizes could yield significant technical and financial benefits.