Siting and Sizing Method of Electric Vehicle Charging Station Based on Improved Immune Clonal Selection Algorithm

With the increasing penetration of electric vehicles, charging infrastructure planning should be more scientific and rational. A siting and sizing method of electric vehicle charging station based on the improved immune clonal selection algorithm (ICSA) is proposed. Firstly, the relationship between the capacity, location and service range of the charging station is analyzed. Taking the coverage and coincidence of the charging station, the power in the planned region, and the charging power of the charging station as constraints, a siting and sizing model of the charging station with the goal of minimizing the total annual cost of the charging station is established. Then, a method for calculating the affinity between antibodies and the polynomial mutation are proposed to improve the ICSA, making it more suitable for the iterative solution of the siting and sizing model for the electric vehicle charging station. Finally, example analysis is made in MATLAB, and the results verify the effectiveness of the model and the algorithm. © 2021 Automation of Electric Power Systems Press.