Mitigating the Impacts of Electric Vehicle Charging Stations in Distribution Networks Using SAMPE-JAYA Algorithm

The world is being converted to using electric vehicles (EVs) to combat climate change and lower pollution levels. As a result of the tremendous development in the battery industry, the electric vehicles industry flourishes, especially the transition from hybrid to electric cars. Sustaining this process calls for more electric vehicle charging stations to be made available to the general population. This extra load has impacts on the distribution network such as exceeding power system limitations and quality violations of the power network. This paper presents an optimal solution for the integration of electric vehicle charging stations in the distribution system without violating the system power quality constraints. To solve this problem, Self-Adaptive Multi-Population Elitist Jaya Algorithm (SAMPE-JAYA) is used to obtain the location of electric vehicle charging stations, Vehicle to Grid sharing (V2G), and distributed generation units (DG). The simulation results are carried out on a balanced IEEE-33 bus radial distribution system. The load curves and electric vehicles charging/discharging profiles are used to help in allocating electric vehicle charging stations. The selected location for inserting charging stations proved its reliability by improving the voltage and decreasing power loss.