Open AccessPartial discharge identification of DC cross-linked polyethylene cables based on GA-BP algorithm
Author(s) -
Luliang Wang,
Xu Yang,
Yi Jiang,
Houcheng Zhang,
Yuhang Yao,
Qian Wu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1633/1/012086
Subject(s) - polarity (international relations) , partial discharge , materials science , voltage , polyethylene , amplitude , breakage , identification (biology) , cross linked polyethylene , algorithm , layer (electronics) , electrical engineering , computer science , composite material , chemistry , engineering , physics , optics , biochemistry , botany , biology , cell
In this paper, XLPE DC cables were used to construct three kinds of defects of inner semiconducting layer breakage, internal air gap defect, and insulating surface scratching defect. And their DC PD characteristics were tested under different voltage amplitudes and polarities. The study found that these three defects exhibit different DC partial discharge characteristics and change with voltage amplitude and polarity. Subsequently, two methods were used to identify the type of defect. The recognition rate of the traditional defect type identification method reached 97.1%, and the recognition rate of the optimized defect type identification method based on GA-BP was increased to 98.9%, which solved the problem that the traditional method was affected by the voltage level and polarity, and improved the recognition rate.