Charging Station Distribution Optimization Based on Bi-PSO Algorithm

In recent years, the world has been actively promoting the transformation of energy and industrial structure, and the new energy vehicle industry has been developing rapidly. However, the number of new energy vehicles has increased dramatically, and the charging infrastructure, especially the layout of public charging stations, has become a key constraint to its development. This paper first investigates the status quo of low satisfaction of charging facilities, selects the user low satisfaction demand point research, and constructs the charging station comprehensive operation revenue distribution model. Then, we propose Bi-PSO to optimize the location of public charging stations, and compare the simulation with the multi-objective particle swarm optimization algorithm. Finally, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\text{Bi}-\text{PSO}$</tex> is used to select charging stations in Lixia District, Jinan, and its feasibility is verified by actual cases.