Optimal Integration of Electric Vehicle Charging Stations and Distributed Generation in Distribution Network

Random placement of electric vehicle charging stations (EVCS) may cause an increment in energy losses in the distribution system, which may further incur more financial burdens. In this paper, a metaheuristic approach, i.e., Particle Swarm Optimization (PSO) algorithm alongside with sensitivity index method (SIM), is proposed for the optimal placement of EVCS and distributed generation is implemented on a radial distribution system. SIM is used to identify the best possible candidates for EVCS and DG's placement. The applied approach uses the capacitor to sustain the voltage profile, lessen active power loss, reduces cost associated. Particle Swarm Optimization algorithm is used to optimally allocate EVCS and Type- II DGs like capacitors to reduce energy losses, total energy cost and expenditure on a capacitor which are the objective function alongside their constraints. A direct load flow method is developed for the load flow analysis. The proposed method is applied to the IEEE 34 bus distribution system using MATLAB, and the results are presented. It shows when both electric vehicle charging stations and capacitors are optimally placed then power losses and total energy cost reduces.