Charging station selection optimization based on electric and traffic information

With the increase of electric vehicles (EVs) and charging stations (CSs), how to maximize the benefits of all parties and maintain the efficiency and security of both power system and traffic network is an important research topic. To address these issues, we propose a game-theoretic price-setting framework to select the optimal CSs based on the total cost of EVs. To combine electric information, Security Index (SI) is innovatively introduced in the demand function, which impacts the price after game. SI is also used in distance calculation to revise the spatial distance to electrical distance. Besides, based on geographic information, route planning is achieved by revised Dijkstra algorithm. The simulation results demonstrate the effectiveness of the framework in balancing the load distribution compared with no SI-revised method.