High Performance Computing Models in Electric Vehicles Using Artificial Intelligence

As initiatives to save energy and cut down on emissions progress, the consistent electric vehicle charging with solar charging stations for these vehicles have gained greater significance. This research develops an optimization framework for the station's operation by considering the interplay between the electricity and carbon markets through game theory. Within this framework, the higher level signifies the charging station manager, who seeks to enhance the overall electricity and carbon profits while reducing variations in charging. In contrast, the lower level depicts the electric vehicle drivers, who strive to optimize their consumer surplus. Ultimately, a nested mixed integer linear programming genetic algorithm utilized toward resolve the optimization framework and simulation results confirm the effectiveness and advantages of this model.