Charging Pricing Strategy of Charging Operators Considering Dual Business Mode Based on Noncooperative Game

Abstract

At present, the charge station operator (CSO) has invested a lot of money in the construction of charging stations, but it is difficult to make profits due to problems such as competitive pressure and single business mode; therefore, a charging pricing strategy of CSOs considering dual business mode based on noncooperative game is proposed. First, the dynamic road network and Floyd algorithm are combined to simulate the travel of electric vehicles (EVs) and predict the spatial-temporal distribution of the charging demand. Second, an EV charging station selection and charging quantity decision model that considers charging preference is established. Considering the business mode of behavior-based pricing (BBP) and service level difference, a CSO charging pricing model based on a noncooperative game is then constructed with the goal of maximizing the profits of CSOs. Finally, the effectiveness of the proposed strategy is verified by the simulation based on a regional road network and the IEEE33 node distribution system. The results demonstrate that the proposed strategy can alleviate direct price competition and increase profitability. The proposed strategy will improve investment enthusiasm among CSOs and meet the diverse charging demand of EV users.