Dynamic Pricing Strategy of Charging Station Based on Traffic Assignment Simulation

The number of electric vehicles is increasing rapidly worldwide, leading to demand for charging. This will negatively impact the grid. Therefore, it essential relieve power grid operation pressure by changing charging behaviour users. In this paper, was guided price instruments maintain balance paper uses travel simulation establish relationship between and electricity prices. results were evaluated through amount voltage drop network loss. Furthermore, we used differential evolutionary algorithm calculate optimal status grid, which contains minimal loss maximal at different stations price. Finally, effectiveness mechanism proposed in compared with other examples. showed that pricing strategy could guide users’ choices load balancing. show average bus increases 1.26% 6.59%, respectively, under requirements.