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基于终端接入网的全时全域电力业务接入路由

王忠钰 卢志鑫 吕国远 刘乙召 李霜冰 岳顺民 韩雨阳

太赫兹科学与电子信息学报2025,Vol.23Issue(5):476-481,501,7.
太赫兹科学与电子信息学报2025,Vol.23Issue(5):476-481,501,7.DOI:10.11805/TKYDA2024247

基于终端接入网的全时全域电力业务接入路由

Omni-directional power service access routing based on terminal access networks

王忠钰 1卢志鑫 1吕国远 1刘乙召 1李霜冰 2岳顺民 2韩雨阳3

作者信息

  • 1. 国网天津市电力公司 信息通信公司,天津 300140
  • 2. 国网天津市电力公司,天津 300010
  • 3. 天津大学 智能电网教育部重点实验室,天津 300072
  • 折叠

摘要

Abstract

With the rapid development of the energy Internet,new power services such as vehicle-network interaction have increasingly stringent requirements on service quality,which brings many challenges to the power terminal access network.To address the problem of resource waste and network performance degradation caused by the overlapping coverage of multiple communication technologies and a wide range of communication methods in terminal access network,a Communication Method Selection algorithm based on Random Forest(RF-CMS)is proposed,which intelligently categorizes a large number of diverse new electric power services and selects the most suitable communication methods for them through Random Forest mode.Then,the Multi-Agent Proximal Policy Optimization(MAPPO)algorithm is employed to dynamically allocate routes for the power services from the viewpoint of traffic loading and communication quality to ensure that various terminal service data(e.g.,measurement information,control information)can be transmitted timely and accurately in the access network.The effectiveness of the proposed algorithm is validated by comparing it with the routing algorithm based solely on MAPPO in terms of average end-to-end delay and load balancing degree.

关键词

电力终端接入网/随机森林/多智能体近端策略优化/通信方式/路由优化

Key words

power terminal access network/Random Forest(RF)/Multi-Agent Proximal Policy Optimization(MAPPO)/communication method/routing optimization

分类

动力与电气工程

引用本文复制引用

王忠钰,卢志鑫,吕国远,刘乙召,李霜冰,岳顺民,韩雨阳..基于终端接入网的全时全域电力业务接入路由[J].太赫兹科学与电子信息学报,2025,23(5):476-481,501,7.

太赫兹科学与电子信息学报

2095-4980

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