Diagnosis of EHV and HV Transformers Through an Innovative Partial-Discharge-Based Technique

被引：31

作者：

Cavallini, Andrea ^{[1
]}

Chen, Xiaolin ^{[1
,2
]}

Montanari, Gian Carlo ^{[1
]}

Ciani, Fabio ^{[3
]}

机构：

[1] Univ Bologna, Dept Elect Engn, I-40136 Bologna, Italy

[2] Xi An Jiao Tong Univ, State Key Lab Elect Insulat & Power Equipment, Xian 710049, Peoples R China

[3] TechImp Syst Srl, I-40069 Zola Predosa, Italy

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2010年 / 25卷 / 02期

关键词：

Diagnosis; partial discharges (PD); transformer; PD-MEASUREMENTS; RECOGNITION; IDENTIFICATION; DEFECTS;

D O I：

10.1109/TPWRD.2009.2032420

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Online partial discharge (PD) analysis of power transformers is sometimes complex due to the presence of large disturbance and noise as well as to uncertainty in PD source identification. In this paper, a novel approach to PD detection and analysis in online power transformers is presented. The proposed approach provides hardware and software tools to remove disturbance, noise, separate contributions from different sources and, eventually, identify PD sources. Besides, a description of the hardware tools used to assemble the diagnostic system, the tests ( in the lab and on real transformers) carried out to build the reference database needed for identification system training will be discussed, providing rules for PD source identification. A number of working cases will be presented to show the effectiveness of the proposed method.

引用

页码：814 / 824

页数：11

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