Hierarchical Distributed Frequency Regulation Strategy of Electric Vehicle Cluster Considering Demand Charging Load Optimization

Abstract

In view of the problems that the disorderly demand charging load increases the power supply pressure and the control of large-scale cluster is difficult, which will appear during the process of large-scale electric vehicle cluster participating in frequency regulation, this paper proposes a hierarchical distributed frequency regulation strategy of electric vehicle cluster considering the optimization of demand charging load. Firstly, the demand charging plans of electric vehicles are optimized to minimize the system load variance, and the reserve capacity of electric vehicle cluster is predicted in real-time. Then, in order to improve the control performance of large-scale cluster, a hierarchically distributed control framework is established, which enables the traditional unit to assist the electric vehicle through the real-time assignment of system frequency regulation task, and realizes the individual-level orderly scheduling of electric vehicles based on the distributed sorting. The simulation results show that the proposed frequency regulation strategy can not only adjust automatically for ensuring expected frequency regulation effect, but also reduce the power supply pressure on the grid side, as well as achieve efficient and reliable scheduling of electric vehicle cluster.