Research on Active Distribution Network Scheduling Considering Source-Storage-Load Interaction

Abstract

In recent years, with the access of controllable units, the distribution network has become more flexible. Using controllable DG, energy storage and demand response as regulating methods, an active distribution network scheduling model considering source-storage-load interaction is established in this paper. The optimization objective is to minimize the daily comprehensive operating cost of the distribution network. In addition to costs of electricity purchase, power generation, energy storage, demand response and network loss, fluctuating cost is introduced in the model to quantify the negative impact of the power changes of tie lines. The improved particle swarm algorithm is used to solve the model. The simulation results of modified IEEE33 node system prove the superiority of source-storage-load interaction mode in grid operation characteristics compared with source-storage interaction mode and source-load interaction mode, and the daily comprehensive operating cost under source-storage-load interaction mode also decreases by 4.76% and 4.11%.