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作 者:邵慧 SHAO Hui(Xiantao Power Supply Company,State Grid Hubei Electric Power Co.,Ltd.,Xiantao 433000,China)
机构地区:[1]国网湖北省电力有限公司仙桃市供电公司,湖北仙桃433000
出 处:《通信电源技术》2025年第7期246-248,共3页Telecom Power Technology
摘 要:为提高配电线路故障诊断的准确性与效率,探讨基于智能化技术的故障诊断与处理方法。通过物联网技术实时监测配电线路的电压、电流、温度及湿度等关键数据,并将数据传输至分析平台进行智能化处理,利用机器学习与深度学习算法快速识别潜在故障,并提供精准的故障定位与诊断结果。研究结果表明,智能化技术在故障诊断与处理方面具有显著优势,可以有效提高故障响应速度和电力恢复效率。本研究为配电系统的智能化升级提供了技术参考,提升了电力系统的可靠性与安全性。In order to improve the accuracy and efficiency of fault diagnosis of distribution lines,the fault diagnosis and treatment methods based on intelligent technology are discussed.Key data such as voltage,current,temperature and humidity of distribution lines are monitored in real time through the Internet of Things technology,and the data are transmitted to the analysis platform for intelligent processing.The machine learning and deep learning algorithms are used to quickly identify potential faults and provide accurate fault location and diagnosis results.The research results show that intelligent technology has obvious advantages in fault diagnosis and treatment,which can effectively improve fault response speed and power recovery efficiency.This study provides a technical reference for the intelligent upgrade of distribution system,and improves the reliability and security of power system.
分 类 号:TM75[电气工程—电力系统及自动化]
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