基于物联网技术的电力系统通信网络拓扑优化  

Topology Optimization of Power System Communication Network Based on Internet of Things Technology

作　　者：张颖 张钦雪 高利达 ZHANG Ying;ZHANG Qinxue;GAO Lida(Liaocheng Guangming Electric Power Service Co.,Ltd.,Yanggu branch,Liaocheng 252300,China)

机构地区：[1]聊城市光明电力服务有限责任公司阳谷分公司,山东聊城252300

出　　处：《通信电源技术》2024年第9期31-33,共3页Telecom Power Technology

摘　　要：为提高电力系统的稳定性,实验采用包含10个节点的电力系统通信网络作为研究对象,利用遗传算法优化网络拓扑结构。通过定义适应度函数,综合考虑网络延迟和丢包率等性能指标,寻找最优的链路连接和节点配置。结果表明,优化后的电力系统通信网络拓扑结构显著改善了网络性能。To improve the stability of the power system,a power system communication network consisting of 10 nodes was used as the research object in the experiment,and genetic algorithm was used to optimize the network topology structure.By defining a fitness function and considering performance indicators such as network latency and packet loss rate,we aim to find the optimal link connection and node configuration.The results indicate that the optimized power system communication network topology significantly improves network performance.

关 键 词：物联网技术 电力系统 通信网络 

分 类 号：TM73[电气工程—电力系统及自动化] TN929.5[电子电信—通信与信息系统] TP391.44[电子电信—信息与通信工程]