Error state correlation analysis based on random matrix theory for electronic transformer

被引：0

作者：

Hu C. ^{[1
]}

Zhang Z. ^{[1
]}

Jiao Y. ^{[1
]}

Li H. ^{[1
]}

Chen G. ^{[2
]}

机构：

[1] State Key Laboratory of Strong Electromagnetic Engineering and New Technology, Huazhong University of Science and Technology, Wuhan

[2] Electric Power Research Institute of State Grid Jiangsu Electric Power Company, Nanjing

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2018年 / 38卷 / 09期

关键词：

Electronic transformers; Error state; Evaluation index; Influencing factor; Random matrix; Single-ring law;

D O I：

10.16081/j.issn.1006-6047.2018.09.008

中图分类号：

学科分类号：

摘要：

Since the influencing factors of electronic transformer error involve interactions between each other in complex field conditions,resulting in difficult decoupling implementation. Therefore,it is difficult to confirm the relationship between the error state of electronic transformer and the influencing factors. In order to solve this problem,an error state correlation analysis method for electronic transformer is proposed based on high-dimensional random matrix theory. The evaluation matrix is constructed in real-time using moving time-window and then extended based on Kalman filter in the case of sparse matrix. Two evaluation indexes of correlation level,i.e. dMSR and IMSR are proposed and the steps of correlation analysis are confirmed. The proposed method is adopted to analyze the operating data of the electronic transformer error state monitoring platform,the results show that it can be utilized to confirm the influencing degree of single or multiple influencing factors on the error state of electronic transformer. © 2018, Electric Power Automation Equipment Press. All right reserved.

引用

页码：45 / 53

页数：8

共 22 条

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