Research on Intelligent Power Allocation Algorithm for Electric Vehicle Charging Pile

This paper proposes an intelligent power allocation algorithm for electric vehicle charging piles based on RL. The algorithm adjusts the power output of the charging pile in real time through the RL model to optimize the grid load and charging efficiency. Specifically, this paper models the charging pile power allocation problem as an RL problem and uses DQN for training to minimize user waiting time and maximize the utilization rate of the charging pile. Through simulation experiments, this paper demonstrates the advantages of the algorithm in different charging scenarios. Experimental results show that compared with the traditional uniform allocation and first-come-first-served algorithms, the intelligent power allocation algorithm can reduce the average waiting time by 25%, improve the utilization rate of the charging pile by about 20%, and improve the charging efficiency by about 15%. In addition, the algorithm can dynamically adjust the power allocation strategy according to the fluctuations of the real-time grid load and charging demand, showing good adaptability and scalability. The research results show that the charging pile power allocation scheme based on RL has a significant optimization effect and provides theoretical support and practical basis for the intelligent management of the future electric vehicle charging network.