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

• Published in: Electronics and electromechanics no. 3; pp. 68 - 73
• Main Authors: Sengupta, D, Datta, A
• Format: Journal Article
• Language: English
• Published: Kharkiv Department of Electrical Apparatus of National Technical University, Kharkiv Polytechnic Institute 23.06.2021; National Technical University, Ukraine; National Technical University "Kharkiv Polytechnic Institute"
• Subjects: Algorithms; Alternative energy sources; Battery chargers; Dynamic loads; Electric power grids; Electric vehicle charging; electric vehicle charging station; Electric vehicle charging stations; Electric vehicles; Energy industry; Energy minerals; Energy resources; Energy sources; Environmental impact; Flow stability; Fossil fuels; ieee 15-bus system; Load-Flow; load-flow analysis; Mathematical optimization; Nodes; optimal allotment; Particle swarm optimization; Power flow; Power lines; Reactive power; Stability analysis; Systems stability; Voltage stability; voltage stability analysis
• ISSN: 2074-272X; 2309-3404
• DOI: 10.20998/2074-272X.2021.3.11

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