Electric Vehicle Charging Scheduling Algorithm Based on Online Multi-objective Optimization

摘要

The volatility of green energy power generation and the randomness of electric vehicle's charging will affect the safe operation of the grid seriously. Therefore, the joint scheduling of green energy and electric vehicles is of great significance, however, the existing charging scheduling algorithms have problems such as the single optimization objective and the complex calculation. Applying the Internet of Things technology to the traditional power industry can improve the management level of the grid effectively. Based on the prediction of green energy power, this paper established the multi-objective optimization model for the joint scheduling of green energy and electric vehicles and designed an online charging scheduling algorithm. Then the charging behavior of electric vehicles in urban scenarios is analyzed, user's charging behavior simulation method based on Monte Carlo is designed, the effectiveness of the scheduling algorithm is verified by processing the simulation data.