面向电动汽车聚合控制的通信网络资源分配

苏慧玲; 张汀荃; 刘颖; 陆婋泉; 杜坷俊; 张驰

doi:10.19725/j.cnki.1007-2322.2024.0193

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面向电动汽车聚合控制的通信网络资源分配

电动汽车关键技术 | 更新时间：2026-10-19

- 面向电动汽车聚合控制的通信网络资源分配
- Communication Network Resource Allocation for Electric Vehicle Aggregation and Control
- 现代电力 2026年43卷第5期页码：1053-1064
- 作者机构：
  
  国网江苏省电力有限公司营销服务中心,江苏省,南京市,210019
- 作者简介：
  
  苏慧玲(1983)，女，博士，正高级工程师，研究方向为智能用电、用能优化技术，E-mail： 15798253365@163.com
  张汀荃(1997)，女，硕士，研究方向为智能用电、用能优化技术，E-mail：zhangtingquan@126.com
  刘颖(1994)，女，硕士，研究方向为智能用电、用能优化技术，E-mail：irene_seu@163.com
  陆婋泉(1985)，女，博士，副高级工程师，研究方向为智能用电、用能优化技术，E-mail：seueelab_lxq@163.com
  杜坷俊(1990)，男，学士，研究方向为智能用电、用能优化技术，E-mail：469222810@qq.com
  张驰(1985)，男，学士，研究方向为智能用电、用能优化技术，E-mail：zhang2chi@163.com
- 基金信息：
  
  国家电网有限公司科技项目(5108-202218280A-2-388-XG)。
- DOI：10.19725/j.cnki.1007-2322.2024.0193
  中图分类号： 5
- 纸质出版：2026
- 稿件说明：
移动端阅览
苏慧玲, 张汀荃, 刘颖, 等. 面向电动汽车聚合控制的通信网络资源分配[J]. 现代电力, 2026,43(5):1053-1064.

SU Huiling, ZHANG Tingquan, LIU Ying, et al. Communication Network Resource Allocation for Electric Vehicle Aggregation and Control[J]. 2026, 43(5): 1053-1064.
苏慧玲, 张汀荃, 刘颖, 等. 面向电动汽车聚合控制的通信网络资源分配[J]. 现代电力, 2026,43(5):1053-1064. DOI： 10.19725/j.cnki.1007-2322.2024.0193.

SU Huiling, ZHANG Tingquan, LIU Ying, et al. Communication Network Resource Allocation for Electric Vehicle Aggregation and Control[J]. 2026, 43(5): 1053-1064. DOI： 10.19725/j.cnki.1007-2322.2024.0193.

摘要

随着清洁能源规模化接入电网，对电动汽车进行聚合控制，已成为维持电力供需平衡的关键手段。电动汽车聚合过程产生大量信息传输业务，其严格的实时与准确交互需求，对现有网络通信性能构成了严峻挑战。因此，该文提出面向电动汽车聚合控制过程中信息交互的“中心云平台–边缘服务器–电动汽车用户”通信网络架构，重点分析各层业务处理功能与信息交互需求的差异性，分别建立面向需求响应过程中各层的信息传输时效性与信息传输准确性的效用函数模型，基于效用函数构建信道及功率资源分配模型。基于蜣螂优化算法、双边匹配以及改进注水算法，实现信道和功率分配。为了扩大种群迭代的随机性，在蜣螂优化算法中引入正弦策略，结合双边匹配和改进注水算法，使模型能够快速收敛至最大效用值，实现车网互动过程中信道及功率资源的分配。通过对比算法的仿真验证表明，该算法在电动汽车分层聚合控制场景下能有效提升传输业务的整体信息传输效用。

Abstract

In the context of large-scale clean energy access to the grid

the aggregated regulation of electric vehicles is an important way to ensure the balance of electricity supply and demand. The aggregation process of electric vehicles generates a large number of information transmission services

and its strict real-time and accurate interaction requirements pose a severe challenge to the existing network communication performance. Therefore

this paper proposes a communication network architecture of "central cloud platform-edge server-EV user" for information exchange in the process of EV aggregation and regulation

focuses on analyzing the differences in business processing functions and information exchange requirements at each layer

and establishes utility function models for the timeliness and accuracy of information transmission at each layer in the process of demand response. A channel and power resource allocation model is constructed based on the utility function. Channel and power allocation are realized using the dung beetle optimization algorithm

bilateral matching

and improved water-filling algorithm. To expand the randomness of population iteration

a sinusoidal strategy is introduced into the dung beetle optimization algorithm

combined with bilateral matching and an improved water injection algorithm

enabling the model to quickly converge to the maximum utility value and realize the allocation of channel and power resources during the vehicle network interaction process. The simulation results indicate that the algorithm is capable of effectively improving the overall information transmission efficiency of transmission services in the hierarchical aggregation control scenario for electric vehicles.

关键词

Keywords

references

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