In order to make full use of the public parking and the power regulating ability of electric vehicles (EVs) as the flexible source for power system

this paper proposes a collaborative optimization configuration method for V2G single output multiple cables charging piles (V2G-SOMC) with multiple capacity specifications. Based on the analysis of the operating principle of V2G-SOMC charging piles and the characteristics of EVs’ charging behavior

a refined time series simulation is used to model the charging station operation process where users select appropriately sized charging piles The simulation aims to construct a charging pile configuration model with the objective of maximizing the net yield of investment and operation. For the problem of nonlinear conditional scenario constraints

the original model is transformed into a large-scale mixed integer linear programming model through model transformation and the big-M method for linearization

and solved using the Gurobi solver. Finally

a comparative analysis is conducted on multiple configuration schemes to verify the effectiveness and superiority of the proposed method. The research results of this paper can promote the rational configuration of charging piles in public parking

which is conducive to saving social resources and improving the satisfaction of EV users.