Validation of optimal electric vehicle charging station allotment on IEEE 15-bus system

Introduction. The diminishing conventional energy resources and their adverse environmental impacts compelled the researchers industries to move towards nonconventional resources. Consequently, a drastic paradigm shift is observed in power transportation sectors from traditional fossil fuel based renewable energy-based technologies. Considering proliferation of electric vehicles, companies have been working continuously extend vehicle charging facilities. Problem. Down line, inclusion stations grid upsurges complication as demands are random nature all over grid, turn, an unplanned station installation may cause for system profile degradation. Purpose. To mitigate problem, optimum allocation existing distribution strategic manner matter pronounced importance maintaining stability quality. In this paper, IEEE 15-bus studied order minimize highest under voltage deviations. Methodology. Primarily, analysis carried out identification suitable nodes integration. Voltage sensitivity indices calculated by introducing incremental change reactive injection noting down corresponding node nodes. Henceforth, dynamic load-flow performed using fast efficient flow technique while particle swarm optimization method finding optimal locations. Results. results obtained application mentioned techniques on not only give feasible locations stations, but also provide maximum number such stipulated sizes which can be incorporated profile. Originality. originality proposed work development objective function; analysis; algorithms. Practical value. demonstrates detailed procedure allotment. experimental used subsequent execution real field.