三相智能电表断零线检测系统及方法  

Three-Phase Intelligent Electric Meters Zero Line Detection System and Method

作　　者：张波 丁建顺 应高强 刘永鸽 徐京生 ZHANG Bo;DING Jianshun;YING Gaoqiang;LIU Yongge;XU Jingsheng(Holley Technology Co.,Ltd.,Hangzhou,Zhejiang 310023,China;Marketing Service Center,State Grid Anhui Electric Power Co.,Ltd.,Hefei,Anhui 230061,China;Mengcheng County Power Supply Company,State Grid Anhui Electric Power Co.,Ltd.,Haozhou,Anhui 233500,China)

机构地区：[1]华立科技股份有限公司,浙江杭州310023 [2]国网安徽省电力有限公司营销服务中心,安徽合肥230061 [3]国网安徽省电力有限公司蒙城县供电公司,安徽亳州233500

出　　处：《自动化应用》2024年第17期162-164,共3页Automation Application

摘　　要：针对三相智能电表断零线的检测问题,提出了一种基于信号处理和机器学习的新型检测系统与方法。三相智能电表断零线故障可能导致电流不平衡和其他问题,因此需要有效的检测方法。在系统设计方面,构建了一种包含传感器和数据采集模块的检测系统,用于获取三相电流和电压信号。然后,通过采用多种信号处理算法,提取了与断零线故障相关的特征。这些特征包括电流不平衡度、功率波形的形状等。为进一步对断零线进行准确判断,引入了机器学习模型。通过使用标记的训练数据,训练一个分类器,使其能够准确识别断零线故障。A new detection system and method based on signal processing and machine learning are proposed to address the issue of zero line disconnection in three-phase smart meters.The zero line fault of a three-phase intelligent electricity meter may lead to current imbalance and other problems,so effective detection methods are needed.In the aspect of system design,a detection system including sensors and data acquisition modules is constructed to obtain three-phase current and voltage signals.Then,various signal processing algorithms were used to extract features related to zero line faults.These features include current imbalance,shape of power waveform,etc.In order to further accurately determine the zero break line,a machine learning model was introduced.By using labeled training data,train a classifier to accurately identify zero line faults.

关 键 词：三相智能电表 断零线 信号处理 机器学习 传感器 数据采集模块 

分 类 号：TM930[电气工程—电力电子与电力传动]