摘要
针对用电异常一般采用大数据计算模型进行分析,而大数据计算模型分析的原始数据采集时又存在漏报、误报、处理复杂等问题,提出了一种在线监测高压负荷监测采集器。功能性测试表明,该采集器可以实现自动分析和识别一次侧负荷监测采集的数据和二次侧电表采集的数据之间的异常和窃电的数据特征,有效监测并遏制遥窃电行为,在配网改造升级工程中具有广阔的应用前景。
Large data calculation model is generally used for analysis of abnormal power consumption.However,there are problems such as false alarm,false alarm and complex processing when collecting the original data analyzed by big data computing model.An on-line monitoring high voltage load monitoring collector is proposed.The functional test shows that the collector can automatically analyze and identify the anomalies between the data collected by the primary side load monitoring and the data collected by the secondary side ammeter and the data characteristics of power theft,effectively monitor and curb the behavior of remote power theft,and has broad application prospects in the distribution network transformation and upgrading project.
作者
丁迅
张忠
夏兆俊
范洋洋
DING Xun;ZHANG Zhong;XIA Zhaojun;FAN Yangyang(Ma′anshan Power Supply Company of State Grid Anhui Electric Power Co.,Ltd.,Ma′anshan 243000,China)
出处
《电工技术》
2022年第22期141-143,147,共4页
Electric Engineering
基金
国网安徽省电力有限公司双创项目“分布式负荷监测系统优化推广”(编号AH20-GWMAS11-FZB001)。
关键词
在线监测
负荷采集器
4G模块
分布式安装
监测系统
on-line monitoring
load collector
4G module
distributed installation
monitoring system