Electric Power ›› 2023, Vol. 56 ›› Issue (9): 120-126.DOI: 10.11930/j.issn.1004-9649.202302062

• Distribution Network Planning and Optimized Operation • Previous Articles     Next Articles

An Edge Container Migration Optimization Method for Multi-service Intelligent Resource Scheduling of Distribution Networks

LI Shuai1, XU Di2, WEN Xiangyu1, ZHANG Jiaxin3   

  1. 1. State Grid Shandong Electric Power Research Institute, Jinan 250003, China;
    2. Jinan Electric Power Corporation of State Grid Shandong Electric Power Corporation, Jinan 250013, China;
    3. School of Electrical and Automation, Wuhan University, Wuhan 430070, China
  • Received:2023-02-17 Revised:2023-08-03 Accepted:2023-05-18 Online:2023-09-23 Published:2023-09-28
  • Supported by:
    This work is supported by the National Key Research and Development Program of China (Key Technologies for Coordination and Interoperation of Power Distribution Service Resource, No.2021YFB2401300).

Abstract: Edge container migration technology can achieve intelligent scheduling of service data from resource-constrained servers to resource-sufficient servers. Based on the container migration technology, the container migration capacity, delay gain model and the weighted delay gain maximization problem are formulated for the distribution network multi-service resource scheduling scenarios. An edge container dynamic matching migration optimization method is proposed, which can realize the perception of the service priority, migration capacity, and latency requirements through the adaptive adjustment of the price increment. The simulation results demonstrate that compared with traditional algorithms, the proposed method can validly improve the data processing delay performance for distribution network.

Key words: distribution network, edge container migration, dynamic matching, intelligent resource scheduling