Optimal Planning of EV Fast-Charging Station with DG in Distribution System Using PSO

Nowadays, due to the problem of depletion of convention fuel sources and increasing pollution by internal combustion (IC) engine-based vehicles, the EVs are more beneficial and cost-effective and provide social benefits. Therefore, adoption of EVs is the alternate source of transportation and the growing replacement in transportation as they emit zero carbon emission, energy-efficient and are economical. For the expansion of EV market, the charging station infrastructure is very important to provide efficient energy for various EVs. This paper presents the optimal planning of charging infrastructure to establish efficient charging station location by considering the power losses, voltage and economic consideration in distributed system and also optimal sizing of distributed generation (DG) at that particular location. The minimum value of multi-objective function decides based on the system performance indices as power loss, charging cost, voltage deviation and reliability indices. The allocation of DGs and EV charging stations obtained by the multi-objective function is minimization using particle swarm optimization (PSO). The modified IEEE 33 bus distribution system for Durgapur City is considered for optimal allocation of the EV fast-charging station (FCS) and DGs with MATPOWER tool. This paper concludes that minimization of power losses, charging cost, voltage deviation and improved reliability of the system is increased leading to secure and stable EV charging stations with DGs.