Transmission and Decision-Making Co-Design for Active Support of Region Frequency Regulation Through Distribution Network-Side Resources

The proportion of distributed resources connected to the distribution network is gradually increasing. But in most scenarios, resources operate in passive response mode and cannot give full play to their active regulation potential. To awaken the regulation capability of distributed resources for active support of system frequency stability, a transmission and decision-making co-designed architecture is studied in this paper when a local supply-demand imbalance in the distribution network causes frequency instability. The architecture contains "data module", "transmission module", and "decision-making module". Firstly, in the "data module", based on the theory of multi-extreme learning machines and power flow calculation, the generation prediction of energy sources is performed to provide the data basis for generating regulation commands. Secondly, in the "transmission module", through the nodal current equation-based sliding mode control and fast path reconstruction, the response strategy of the communication disturbance problem is proposed to provide the transmission support for generating regulation commands. Finally, based on the theory of "multiple factors matching" and "source-load interaction", the source and load-side regulation commands are generated in the "decision-making module" by combining the transmitted data. Related case studies are carried out to verify the effectiveness of the proposed strategies.