Design of hierarchical adaptive control scheme for distributed resources based on cloud-edge collaboration
Biyan Ma, Ping Li, Lin Wu · 2024
Large-scale distributed resources are connected to the distribution network, which puts forward new requirements for peak regulation and frequency regulation of the dispatching system. In order to improve the network construction capability of the new power system, this paper proposes a hierarchical adaptive control scheme for distributed resources with cloud-edge collaboration, in which the gateway forms a panoramic data-based master station control command decomposition strategy based on the minute-level distribution network island information synchronized by the master station, and realizes the local AGC and AVC functions, dynamically corrects the power frequency static characteristic coefficient of the power system according to the distribution network control effect, and continuously optimizes the control performance. Through the real-time collection of data from the photovoltaic power station, the gateway advanced application function model is constructed, and the master station dispatching command is simulated to verify the correctness of the gateway’s response, and the priority-based cloud-edge collaborative scheduling control strategy is verified.