| 引用本文: | 张 磊,纪春华,王旭蕊,等.基于最小路径选择度的电力通信网络路由优化策略研究[J].电力系统保护与控制,2022,50(1):141-147.[点击复制] |
| ZHANG Lei,JI Chunhua,WANG Xurui,et al.A routing optimization strategy for an electric power communication network based on the minimum path selectivity degree[J].Power System Protection and Control,2022,50(1):141-147[点击复制] |
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| 摘要: |
| 针对电力通信业务对服务质量和可靠性的要求越来越高，在软件定义网络的基础上提出了一种基于最小路径选择度的电力通信网络路由优化策略。将基于图形卷积网络的链路带宽占用率预测模型的预测结果与三角模算子相结合得到路径选择度，作为电力业务传输路径选择的依据，实现了电力通信网链路资源的动态分配。通过仿真与传统的路由优化策略进行丢包率、传输时延和链路带宽占用率等对比分析，验证该策略的优越性。仿真结果表明，该策略可以满足电力传输的要求，链路负载分配更加均匀，在丢包率、传输时延和链路带宽占用率方面均优于传统的路由优化策略。 |
| 关键词: 电力通信网 路由优化策略 软件定义网络 图形卷积网络 最小路径选择度 |
| DOI：DOI: 10.19783/j.cnki.pspc.210286 |
| 投稿时间：2021-03-18修订日期：2021-05-26 |
| 基金项目:河北省自然科学基金项目资助(F2015502047) |
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| A routing optimization strategy for an electric power communication network based on the minimum path selectivity degree |
| ZHANG Lei,JI Chunhua,WANG Xurui,CHEN Zong’ao,CAI Zhenjiang,LU Xiaotian |
| (1. Information & Telecommunication Branch, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050000, China;
2. GHT Co., Ltd., Guangzhou 510663, China) |
| Abstract: |
| The requirements for service quality and reliability of the electric power communication business are increasingly high. Based on software-defined network, a power communication network routing optimization strategy using the minimum path selection degree is proposed. The path selection degree is obtained by combining the prediction results of the link bandwidth occupancy rate prediction model based on the graph convolutional network with the triangular modulus operator. This is then used as the basis for the selection of the power service transmission path, and the dynamic allocation of the link resources of the power communication network is realized. Through simulation and traditional routing optimization strategy, the packet loss rate, transmission delay and link bandwidth occupancy rate are compared and analyzed to verify the superiority of the proposed strategy. Simulation results show that this strategy not only can meet the requirements of power transmission, but also link load distribution is more even, and it is better than traditional routing optimization strategies in terms of packet loss rate, transmission delay and link utilization.
This work is supported by the Natural Science Foundation of Hebei Province (No. F2015502047). |
| Key words: electric power communication network routing optimization strategy software-defined network graph convolutional network minimum path selection degree |
