Optimal scheduling study of active distribution network based on source-load-storage co-optimization

With the transformation of global energy structure and the promotion of China’s “dual-carbon” goal, highproportioned new energy which has been connected to the grid poses a new challenge to the traditional Distribution Network. Active Distribution Network, which can control the combination of various types of distributed energy sources, is an effective means of solving these problem. An active distribution grid optimization and scheduling model with source-load-storage coordination is constructed to maximize the power supply reliability and minimize the operation cost of the distribution grid. Simulation analysis is carried out based on the IEEE-33 node system, and the results show that the optimized scheduling strategy significantly reduces the amplitude of load fluctuation, alleviates the peaking pressure of the Distribution Network, and improves the flexibility and regulation capability of the system.