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

doi:10.11930/j.issn.1004-9649.202505024

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

更新时间：2025-12-20

- Information Transmission Optimization for Distributed Energy Systems via Edge Collaboration and Relay Assistance Joint Architecture
- Vol. 58, Issue 11, Pages: 135-145(2025)
- 作者机构：
  
  东北大学信息科学与工程学院,辽宁,沈阳,110819
- 作者简介：
- 基金信息：
- DOI：10.11930/j.issn.1004-9649.202505024
  CLC：
- Published Online：01 December 2025，
  
  Published：01 December 2025
- 稿件说明：
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张洺瑞, 胡旭光, 王晶宇, 潘慧琳, 杜杭远. 边缘协作与中继辅助联合架构的分布式能源系统信息传输优化方法[J]. 中国电力, 2025, 58(11): 135-145.

ZHANG Mingrui, HU Xuguang, WANG Jingyu, et al. Information Transmission Optimization for Distributed Energy Systems via Edge Collaboration and Relay Assistance Joint Architecture[J]. 2025, 58(11): 135-145.
张洺瑞, 胡旭光, 王晶宇, 潘慧琳, 杜杭远. 边缘协作与中继辅助联合架构的分布式能源系统信息传输优化方法[J]. 中国电力, 2025, 58(11): 135-145. DOI： 10.11930/j.issn.1004-9649.202505024.

ZHANG Mingrui, HU Xuguang, WANG Jingyu, et al. Information Transmission Optimization for Distributed Energy Systems via Edge Collaboration and Relay Assistance Joint Architecture[J]. 2025, 58(11): 135-145. DOI： 10.11930/j.issn.1004-9649.202505024.

摘要

随着分布式能源系统中能源设备逐渐增加，数据传输量激增等问题对能源系统通信网络数据传输的准确性与任务分配的合理性提出了挑战。为此，提出边缘协作与中继辅助联合架构的分布式能源系统信息传输优化方法。首先提出边缘协作与中继辅助联合的分布式能源系统通信网络架构，通过中继辅助承担任务及相邻能源体之间的任务协作，解决通信资源分配不均等问题；其次提出面向非正交多址技术的五隙信息传输框架及能耗成本表示方法，通过对五隙信息整体传输过程建模，解决考虑能耗与偏差的能耗成本量化问题；然后提出协作辅助计算与资源分配算法，通过优化中继功率、执行时间、任务分配，解决五隙传输能耗成本趋优问题。最后对中国某地区分布式能源系统进行测试，结果表明该通信网络架构与传输框架可以有效促进通信资源的合理分配且优化后的通信资源分配策略能显著降低系统的能耗成本。

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.

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references

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