摘要
随着特高压电网的快速发展,变电站运行状态监测面临实时性、可靠性等挑战。文章针对上述问题,提出了一种基于5G通信技术的特高压变电运行状态监测系统。该系统利用5G的高速率、低时延特性,结合边缘计算和云计算平台,实现了变电站海量监测数据的实时采集、传输以及处理。同时,系统集成了谱聚类、卷积神经网络(ConvolutionalNeuralNetwork,CNN)等算法,可精准诊断设备潜在故障。搭建的原型系统经过为期1个月的测试,结果证明了所提出方案的可行性和有效性。
With the rapid development of ultra-high voltage power grid,the monitoring of substation operation status is facing real-time and reliability challenges.Aiming at the above problems,this paper proposes a monitoring system for ultra-high voltage substation operation based on 5G communication technology.The system takes advantage of the high-speed and low-delay characteristics of 5G,and combines edge computing and cloud computing platform to realize the real-time collection,transmission and processing of massive monitoring data of substations.At the same time,the system integrates spectral clustering,Convolutional Neural Network(CNN)and other algorithms,which can accurately diagnose potential faults of equipment.The prototype system has been tested for one month,and the results prove the feasibility and effectiveness of the proposed scheme.
作者
王滕藤
肖文文
WANG Tengteng;XIAO Wenwen(State Grid Shandong Electric Power Company Ultra High Voltage Company,Jinan 250000,China)
出处
《通信电源技术》
2024年第13期1-3,共3页
Telecom Power Technology
关键词
特高压变电站
运行状态监测
5G通信技术
ultra-high voltage substations
operation monitoring
5G communication technology
