Electric Power ›› 2022, Vol. 55 ›› Issue (7): 87-92.DOI: 10.11930/j.issn.1004-9649.202109151

• Power System • Previous Articles     Next Articles

Failure Early Warning and Life Estimation Method of Batch Smart Meter

HUANG Youpeng1, LU Tao1, CHEN Liang1, DANG Sanlei1, ZHANG Jie1, YU Sida2   

  1. 1. Metrology Center, Guangdong Power Grid Co., Ltd., Guangzhou 510062, China;
    2. China Saibao Laboratory, Guangzhou 510610, China
  • Received:2021-09-15 Revised:2022-05-26 Online:2022-07-28 Published:2022-07-20
  • Supported by:
    This work is supported by Science and Technology Project of China Southern Power Grid Co., Ltd. (No.GDKJXM20185871).

Abstract: With the construction of smart grid, the number of smart meters has increased significantly. Based on the field reliability data, the maximum likelihood method is used to estimate the distribution parameters of batch smart meters, and a batch fault early warning and life prediction method of batch smart meters is proposed. Verification results show that the proposed method can warn the batch of faulty smart meters, predict the reliable life, and provide theoretical and data support for the optimization of smart meter rotation mechanism.

Key words: smart meter, Weibull distribution, maximum likelihood estimation, failure early warning