Event-based Admission Model and Optimization for Electric Vehicle Charging with Renewable Energy

Electrical vehicles and renewable energy are becoming increasingly important for the green energy target and environment-friendly society. So it demands advanced infrastructures of charging stations with renewable energy, which can provide efficient charging service. This paper studies the admission control problem of electric vehicle charging with renewable energy at distributed charging station. First, to alleviate the "curse of dimension" problem, the framework of the event-based optimization is applied to formulate the AC problem. Second, the EV user's satisfaction is considered when designing the reward function. By introducing the concept of the risk event, we maximize the system performance while guaranteeing the quality of service constraint. Then Lagrangian method and policy-gradient iteration method are used to get the optimal policy. Simulation experiments show the effectiveness of the proposed method.