Flexible Resource Space-time Layered Optimization Scheduling Considering the Partition Characteristics of Active Distribution Networks

Abstract

Due to the layout differences between different areas of the distribution network, the electrical characteristics of each partition differ significantly. A flexible resource scheduling model considering distribution network functional zoning is proposed to address this issue. Firstly, electric vehicle charging congestion and willingness indices were proposed in different areas to guide electric vehicle charging, and corresponding controllable load models were established. A cross-regional charging model is proposed to guide users in charging, addressing the imbalance in the number and price of charging stations in each area. Then, a hierarchical scheduling model was developed based on the idea that renewable energy should be fully consumed in the upper layer to minimize the peak-to-valley disparity for the overall scheduling of flexible resources. They were scheduling controllable loads in each area in the lower layer and optimizing the charging positions of vehicles in each area. Finally, taking the IEEE33 node system as an example for simulation, the optimization effect of electric vehicles and controllable loads on the operation of the distribution network was analyzed. The results showed that the proposed method could leverage the resource characteristics of each partition, verifying the effectiveness of the proposed method.