Balanced Scheduling for Services in Novel Power System Considering Multi-Level Time Wheel

The integration of extensive renewable energy resources into storage-centric distribution networks intensifies the challenges faced by edge intelligent terminals in managing heterogeneous data towards multi-sources, particularly under the surge of service scheduling. To address the challenge, balanced scheduling for the services in edge intelligent terminals is introduced, leveraging the efficiency of multi-level time wheel management. Firstly, the typical architecture elements of edge intelligent terminal are analyzed, and a service attribute model considering priority is constructed based on them. Subsequently, a multi-level time wheel scheduling management model is employed for the preliminary management of the services. Finally, the balanced scheduling model considering service priority and time wheel slot status is constructed based on the interactive cooperation of slot migration and service attribute model. The case results show that the constructed service-balanced scheduling model effectively reduces the services congestion in the scheduling space, and makes the services in the overall scheduling space effectively distributed uniformly. Simultaneously, it reduces the imbalance of the overall scheduling space and shows good balanced resource utilization.