基于时序分析的新电能表数据校核比对研究  

Research on New Energy Meter Data Verification and Comparison Based on Time Series Analysis

作　　者：林淑羽 许茹欣 江旭 周天鸿 覃刚 周朝俊 LIN Shuyu;XU Ruxin;JIANG Xu;ZHOU Tianhong;QIN Gang;ZHOU Chaojun(Hainan Power Grid Co.,Ltd.,Hainan 570100,China)

机构地区：[1]海南电网有限责任公司,海南570100

出　　处：《自动化与仪器仪表》2025年第2期73-77,83,共6页Automation & Instrumentation

基　　金：海南电网有限责任公司计量中心计量生产管理平台改造项目(070000GW22100004)。

摘　　要：本研究针对电能表数据校核比对,提出了一种适用于出厂检验的非侵入性电能表数据校核比对方法。通过与低压配电网输入处的参考电能表连接,实现对新电能表有功功率相对测量误差的远程确定。研究基于实时分析用户损耗的配置文件,将新电能表的功率步进幅度与参考电能表同步估算的步进幅度进行比较。实验结果表明,在两到三天的平均观测时间内(包括大约170个功率步进),可实现电表误差估计的不确定性约为0.63%。此外,基于蒙特卡洛方法估计了相对误差,用于新电能表的比对与在出厂检验中的实际应用。通过占用指数建模,演示了在先进的测量基础设施(AMI)中采用最新的电能表数据收集协议实施该方法的可行性场景。This study proposes a non-intrusive method for data verification and comparison of new energy meters,specifically de-signed for factory inspections.By connecting to a reference energy meter at the input of the low-voltage distribution network,the method enables remote determination of the relative measurement error in the active power of the new energy meter.The research is based on real-time analysis of the user's consumption profile,comparing the power step amplitude of the new energy meter with the synchronized estimated step amplitude of the reference energy meter.Experimental results indicate that,with an average observation time of two to three days(including approximately 170 power steps),the uncertainty in estimating meter errors can be achieved at a-round 0.63%.Additionally,relative errors are estimated using the Monte Carlo method,facilitating the comparison of new energy me-ters and practical applications in factory inspections.The feasibility of implementing this method in advanced measurement infrastruc-ture(AMI)using the latest energy meter data collection protocols is demonstrated through modeling with an occupancy index.

关 键 词：数据校核比对 非入侵性 相对测量误差 蒙特卡洛 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]