Canonical Correlation Between Partial Discharges and Gas Formation in Transformer Oil Paper Insulation

Energies

Weigen Chen¹  Xi Chen²  Shangyi Peng² 

[1] The State Key Laboratory of Power Transmission Equipment and System Security and New Technology, College of Electrical Engineering, Chongqing University, Chongqing 400044, China;

关键词: partial discharges;    dissolved gas analysis;    canonical correlation analysis;    fault diagnosis;   

DOI  :  10.3390/en5041081

来源: mdpi

【 摘 要 】

Dissolved gas analysis (DGA) has been widely applied to diagnose internal faults in transformer insulation systems. However, the accuracy of DGA technique is limited because of the lack of positive correlation of the fault-identifying gases with faults found in power transformers. This paper presents a laboratory study on the correlation between oil dissolved gas formation and partial discharge (PD) statistical parameters. Canonical correlation analysis (CCA) is employed to explore the underlying correlation and to extract principal feature parameters and gases in the development of different PD defects. This study is aimed to provide more information in assisting the separation, classification and identification of PD defects, which might improve the existing transformer dissolved gas analysis (DGA) schemes. An application of a novel ratio method for discharge diagnosis is proposed. The evaluation of DGA data both in laboratory and actual transformers proves the effectiveness of the method and the correlation investigation.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.