State prediction of electronic voltage transformer based on Q-ARMA

被引：0
作者：
Li Z. [1 ]
Li C. [1 ]
Zhang Z. [2 ]
机构：
[1] College of Electrical Engineering and New Energy, China Three Gorges University, Yichang
[2] School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan
来源：
Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica | 2018年 / 48卷 / 12期
关键词：
ARMA; Electronic voltage transformer; Error status; Prediction; Q statistics;
D O I：
10.1360/N092018-00226
中图分类号：
学科分类号：
摘要：
As an ideal substitute for traditional electronmagnetic transformers, electronic voltage transformers are widely used in smart grids. Its problem at present is the poor long-term stability of the error, which has caused some hidden danger to the safety, stability and economic of the power grid. The regular off-line calibration method is not conducive to the timely detection of the error state for electronic voltage transformer. A method of error state prediction based on Q-ARMA is proposed in this article. The measurement data of the three-phase electronic voltage transformer are collected, and the error state of the electronic voltage transformer is mapped to the Q statistic under the constraints of the electrical physical relationship by using the principal component analysis method. The influence of grid fluctuation on the prediction of error states is eliminated by this method. The ARMA prediction model of Q statistics is established, and the experiments show that this method can accurately predict the trend of the error state of electronic voltage transformer. © 2018, Science Press. All right reserved.
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页码：1401 / 1412
页数：11
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