Electric Power ›› 2025, Vol. 58 ›› Issue (11): 135-145.DOI: 10.11930/j.issn.1004-9649.202505024

• Key Technologies of Local Energy System Operation Under Electric-Carbon Coordination • Previous Articles     Next Articles

Information Transmission Optimization for Distributed Energy Systems via Edge Collaboration and Relay Assistance Joint Architecture

ZHANG Mingrui(), HU Xuguang(), WANG Jingyu(), PAN Huilin(), DU Hangyuan   

  1. College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
  • Received:2025-05-13 Revised:2025-07-04 Online:2025-12-01 Published:2025-11-28
  • Supported by:
    This work was supported in part by the National Natural Science Foundation of China (No.62303103), the National Natural Science Foundation of China (No.62373089), the Fundamental Research Funds for the Central Universities in China (No.N25ZJL020), the Natural Science Foundation of Liaoning Province (No.2023-BSBA-140), the Scientific Research Project of Liaoning Provincial Department of Education (No.JYTQN2023161).

Abstract:

With the surge in data transmission volume from physical terminals in distributed energy systems, the accuracy of data transmission and the rationality of communication task allocation face significant challenges. To address these issues, this paper proposes an optimization method for information transmission in distributed energy systems based on joint edge collaboration and relay assistance architecture. Firstly, a joint edge collaboration and relay-assistance communication network architecture for distributed energy systems is proposed, mitigating communication resource location imbalance by having relay assistance undertake tasks and enabling task collaboration between adjacent energy bodies. Secondly, a five-slot information transmission architecture based on non-orthogonal multiple access (NOMA) technology and an energy consumption cost representation method are proposed to solve the quantification problem of communication costs by modeling the overall transmission process of the five-slot information. Thirdly, a collaboration assistance computing and resource allocation algorithm is proposed to minimize communication costs by optimizing relay power, execution time, and task allocation. Finally, the proposed communication framework and optimization strategy are tested on a distributed energy system in China. The results demonstrate that the proposed approach can effectively promote the reasonable allocation of communication resource and can significantly reduce communication costs.

Key words: distributed energy system, communication network, mobile edge computing, non-orthogonal multiple access technology, communication resource allocation