基于5G的低压台区线损异常判定方法  

Judgment Method of Line Loss in Low Voltage Platform Area Based on 5G Communication Technology

作　　者：刘书帆 LIU Shufan(State Grid Jiujiang Ruichang City Power Supply Company,Jiujiang 332000,China)

机构地区：[1]国网九江瑞昌市供电公司,江西九江332000

出　　处：《通信电源技术》2024年第23期143-145,共3页Telecom Power Technology

摘　　要：由于低压台区线损问题严重影响电网运行效率和供电质量,提出一种基于5G的低压台区线损异常判定方法。该方法采用支持向量机算法构建非线性分类模型,利用5G的高速率、低时延特性,实现线损数据实时采集和传输,通过边缘计算节点进行异常判定。实验结果表明,该方法相比传统阈值比较法,在异常检出率、误报率、判定时延等关键指标上均有显著提升,为电力公司提供了更精准、及时的线损管理工具。Because the problem of line loss in low-voltage substation seriously affects the operation efficiency and power supply quality of power grid,this paper proposes a method to determine the abnormal line loss in low-voltage substation based on 5G.In this method,a nonlinear classification model is constructed by using the support vector machine algorithm,and the real-time collection and transmission of line loss data are realized by using the high-speed and low-delay characteristics of 5G,and the abnormality is determined by edge computing nodes.The experimental results show that compared with the traditional threshold comparison method,this method has significantly improved the key indicators such as anomaly detection rate,false alarm rate and decision delay,which provides a more accurate and timely line loss management tool for power companies.

关 键 词：5G 低压台区 线损异常判定 

分 类 号：TN929.5[电子电信—通信与信息系统]