Planning of EV Fast Charging Station Including DG in Distribution System Using Optimization Technique

Abstract

Today the Electric Vehicles (EVs) market in India is growing rapidly but the efficient charging infrastructure or charging stations is for EVs still a big challenge. 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 replacement to a 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 location by considering the Power losses, voltage and economic consideration in distributed system and also optimal sizing of Distribution Generation (DG) at that particular location. The locations of Electric Vehicle Charging Station considering the network performance parameter are objectives in proposed multiobjective function. The minimum value of multi-objective function decides based on the system performance indices as power loss, charging cost, voltage deviation and reliability indices. Also placing DG at respective EV Station obtained after optimization. Size of the DG is obtained by optimizing technique that is PSO. MATLAB/MATPOWER tool is used to solve the power flow through backward and forward method. The multiobjective is minimized using Particle Swarm Optimization (PSO) to obtain the optimal allocation of the EV Charging Station on IEEE-33 Bus Distribution System. This paper conclude that minimization of power losses, charging cost, voltage deviation and improved reliability of the system is increased leading to secure and stable EV charging station with DG.