Large-scale flexible resources on the load side gradually replace traditional methods of machine and load cutting to participate in emergency safety control under power shortage accidents in the power system, which has become the construction direction and trend for new power systems. Aiming at the problem of large-scale flexible resources taking part in emergency demand response (EDR), a fast decision-making method for load management of large-scale flexible resources is proposed based on the hierarchical distributed consensus algorithm. Firstly, a hierarchical partition aggregation architecture that adapts to large-scale flexible resources to participate in EDR is proposed. Secondly, the power allocation model of flexible resources participating in EDR is modified, and a fast decision-making method based on the hierarchical distributed consensus algorithm is proposed, which can rapidly solve the power allocation model to meet the real-time requirements of the EDR. The proposed algorithm improves decision-making speed while ensuring relatively high accuracy. Simulation examples have verified the effectiveness and superiority of the proposed method.

This work is supported by State Grid Corporation of China (No. 5108-202218280A-2-0-XG).