Remote Estimation Method for Measurement Error of Smart Meter Based on Limited Memory Recursive Least Squares Algorithm

被引：0
|
作者：
Kong X. [1 ]
Ma Y. [1 ]
Li Y. [2 ]
Wang C. [1 ]
Zhao X. [1 ]
机构：
[1] Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Nankai District, Tianjin
[2] State Grid Tianjin Electric Power Research Institute, Heping District, Tianjin
来源：
| 1600年 / Chinese Society for Electrical Engineering卷 / 40期
基金：
中国国家自然科学基金;
关键词：
Limited memory method; Measurement error; Recursion least squares; Remote estimation; Smart meter;
D O I：
10.13334/j.0258-8013.pcsee.182152
中图分类号：
学科分类号：
摘要：
The dismantled or on-site inspection of smart meter verification have the problems of high maintenance cost, poor accuracy and difficulty in full coverage. With the analysis of large-scale measurement data collected by smart meter, a remote estimated method for measurement error of smart meter based on the limited memory recursive least squares algorithm (LMRLSA) was proposed in the paper. Firstly, according to the user's power consumption level in different measurement periods, the measurement data of similar operation state were screened out. Then LMRLSA was used to estimate the running error of smart meter, and the accuracy of error estimation was improved through on-site stratified sampling. Based on the analysis of actual examples of power grid companies, the results show that the proposed method effectively achieves the estimated accuracy of smart meters error with sufficient measurement data. Moreover, by adjusting the memory length, the real-time estimation of the error change of the smart meter can be guaranteed, which is conducive to the timely detection of suspected abnormal metering points and provides support for efficient power inspection. © 2020 Chin. Soc. for Elec. Eng.
引用
收藏
页码：2143 / 2151
页数：8
相关论文
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