Hierarchical Optimal Control of Electric Vehicle Considering Wind Power Consumption

In order to cope with the large-scale electric vehicles (EVs) access to the grid, a hierarchical optimization model of distribution network-electric vehicle centralized control center is established by using the way of EVs zonal cluster. The charging and discharging plan of each centralized control center is formulated by the distribution network layer. Considering the safety of the distribution network and the power demand constraints during the control cycle of EVs, the objective is to minimize the load variance and network loss of the distribution network after the access of distributed wind power. According to the charge and discharge plan, the centralized control center carries out rolling optimization control for EVs in their respective areas. The NSGA-II algorithm is used to solve the multi-objective optimization problem of the distribution network layer. The centralized control center performs the orderly charge and discharge control by calculating the priority of charging and discharging. Finally, the improved IEEE-33 node system with 3 distributed wind power and 3 centralized control centers is used as an example for simulation, and the results verify the effectiveness of the proposed model and method.