Development of partial discharge monitoring technique using a neural network in a gas insulated substation

Author

Oki, I. ; Haida, T. ; Wakabayashi, S. ; Tsuge, R. ; Sakakibara, T. ; Murase, H.

Author_Institution

Tokyo Electr. Power Co. Inc., Japan

Volume

12

Issue

2

fYear

1997

fDate

5/1/1997 12:00:00 AM

Firstpage

1014

Lastpage

1021

Abstract

A study was carried out to detect partial discharge signals generated in a gas-insulated substation (GIS) subjected to an insulation spacer method (internal electrode method), and to determine whether or not partial discharges were generated and then locate them with a pattern recognition method using a neural network (NN). This paper describes the results, while also explaining the equivalence between simulation pulse injection and partial discharges as web as the determination using the NN mentioned above and then presenting applications using field data

Keywords

computerised monitoring; electric breakdown; gas insulated substations; insulation testing; neural nets; partial discharges; pattern recognition; power system measurement; GIS; gas-insulated substation; insulation breakdown tests; insulation spacer method; internal electrode method; neural network; partial discharge monitoring technique; pattern recognition method; simulation pulse injection; test automation; Electrodes; Gas insulation; Geographic Information Systems; Monitoring; Neural networks; Partial discharges; Pattern recognition; Signal detection; Signal generators; Substations;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.589813

Filename

589813