Optimal placement of vehicle-to-grid charging station in distribution system using Particle Swarm Optimization with time varying acceleration coefficient

This paper proposes optimal placement of vehicle to grid (V2G) charging station in a distribution system by using Particle Swarm Optimization with time varying coefficient (PSO-TVAC). While Electric Vehicles (EVs) will be additional load to the distribution system, utilities can use V2G to maximize total benefit including peak power providing, reliability improvement, and power loss reduction within system operating constraints. Charging stations are simulated as loads when they are charging EVs and as distributed generation when they are discharging to the grid. The optimal placement of V2G charging stations and sizes are determined at peak period. Test results on the nine bus test system render a higher total benefit than GA, Basic PSO, and PSO-TVIW.