Partial Discharge Pulse Segmentation Approach of Converter Transformers Based on Higher Order Cumulant

Dingqian Yang, Weining Zhang, Guanghu Xu, Tiangeng Li, Jiexin Shen, Yunkai Yue and Shuaibing Li
Additional contact information
Dingqian Yang: State Grid Xinjiang Electric Power Research Institute, Urumqi 830011, China
Weining Zhang: State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830002, China
Guanghu Xu: State Grid Xinjiang Electric Power Research Institute, Urumqi 830011, China
Tiangeng Li: School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Jiexin Shen: State Grid Xinjiang Electric Power Research Institute, Urumqi 830011, China
Yunkai Yue: State Grid Xinjiang Electric Power Research Institute, Urumqi 830011, China
Shuaibing Li: School of New Energy and Power Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

Energies, 2022, vol. 15, issue 2, 1-13

Abstract: As one of the most effective methods to detect the partial discharge (PD) of transformers, high frequency PD detection has been widely used. However, this method also has a bottleneck problem; the biggest problem is the mixed pulse interference under the fixed length sampling. Therefore, this paper focuses on the study of a new pulse segmentation technology, which can separate the partial discharge pulse from the sampling signal containing impulse noise so as to suppress the interference of pulse noise. Based on the characteristics of the high-order-cumulant variation at the rising edge of the pulse signal, a method for judging the starting and ending time of the pulse based on the high-order-cumulant is designed, which can accurately extract the partial discharge pulse from the original data. Simulation results show that the location accuracy of the proposed method can reach 94.67% without stationary noise. The field test shows that the extraction rate of the PD analog signal can reach 79% after applying the segmentation method, which has a great improvement compared with a very low location accuracy rate of 1.65% before using the proposed method.

Keywords: partial discharge; pulse segmentation; impulse noise; high-order-cumulant (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/2/415/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/2/415/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:2:p:415-:d:719334

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().