摘要
站用交直流电源系统故障诊断是保障电力系统安全运行的关键环节。传统的故障诊断方法依赖有线通信和人工检测,存在实时性差、效率低下等问题。为解决这些问题,文章提出一种基于5G通信的站用交直流电源系统故障诊断系统,通过5G网络实时采集和传输电源系统运行数据,利用故障识别算法和预测模型进行故障诊断。实验结果表明,该系统在诊断时间和准确性方面显著优于传统方法,能够快速准确地识别电源系统的故障,提升系统的可靠性和维护效率。
Fault diagnosis of station alternating current/direct current power supply system is a key link to ensure the safe operation of power system.Traditional fault diagnosis methods rely on wired communication and manual detection,which have problems such as poor real-time performance and low efficiency.To address these issues,the article proposes a fault diagnosis technology for station alternating current/direct current power supply systems based on 5G communication.Real time operation data of the power supply system is collected and transmitted through the 5G network,and fault diagnosis is performed using fault recognition algorithms and prediction models.The experimental results show that the system is significantly superior to traditional methods in terms of diagnostic time and accuracy,and can quickly and accurately identify faults in the power system,improving the reliability and maintenance efficiency of the system.
作者
刘玉胜
郭继强
LIU Yusheng;GUO Jiqiang(Shandong Ruhao Jingtai Network Technology Co.,Ltd.,Jinan 250013,China)
出处
《通信电源技术》
2024年第17期116-118,共3页
Telecom Power Technology
关键词
5G通信
故障诊断
电源系统
5G communication
fault diagnosis
power supply system
作者简介
刘玉胜(1987-),男,山东青岛人,专科,助理工程师,主要研究方向为电气安装;郭继强(1987-),男,山东济南人,本科,助理工程师,主要研究方向为电气安装。
