Information Fusion Based Dynamic Evaluation Model of Low-voltage Smart Electricity Meter

被引：0

作者：

Cai H. ^{[1
]}

Qiao S. ^{[1
]}

Yuan J. ^{[2
]}

Chen H. ^{[1
]}

Li J. ^{[1
]}

Pan Y. ^{[3
]}

机构：

[1] College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou

[2] Electric Power Research Institute of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou

[3] Zhejiang Huayun Information Technology Co., Ltd., Hangzhou

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2020年 / 44卷 / 11期

关键词：

Dynamic evaluation model; Electricity meter; Entropy method; Information fusion; Weibull analysis;

D O I：

10.7500/AEPS20190528006

中图分类号：

学科分类号：

摘要：

Aiming at the problem that the state evaluation technology of intelligent electricity meter needs to be perfected, this paper establishes a new dynamic evaluation model of low-voltage intelligent electricity meter based on information fusion theory. While analyzing the reliability of the low-voltage intelligent electricity meter, the four state factors, namely abnormal measurement, full event, overload rate of the electricity meter and abnormal clock battery are comprehensively considered, and the entropy method is adopted to calculate the weight of each index in real time. In addition, the dynamic state evaluation of the low-voltage intelligent electricity meter is made based on the regional influence factors. Based on Weibull distribution theory, a sub-evaluation model of reliability for electricity meter is developed, a sub-evaluation model of measurement anomaly and full event is established by using Bayesian formula, and the Thiel index is introduced to evaluate area influential factors. The evaluation model is verified by the actual operation data, and the results show that the developed model is reasonable and feasible, and can effectively evaluate the intelligent electricity meter. © 2020 Automation of Electric Power Systems Press.

引用

页码：206 / 214

页数：8

共 24 条

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