Application of ANN methods for instrument transformer correction in transmission line protection

Author

Saha, M.M. ; Izykowski, J. ; Lukowicz, M. ; Rosolowski, E.

Author_Institution

ABB Autom. Products AB, Sweden

fYear

2001

fDate

2001

Firstpage

303

Lastpage

306

Abstract

The aim of this paper is to present ANN methods intended for dynamic compensation of current transformers (CTs) and capacitive voltage transformers (CVTs) used for measurements in high voltage power systems. The nonlinear multilayer recursive artificial neural networks (ANNs) have been used for modelling inverse transfer functions of the transformers. The problems as well as the results obtained for different network parameters are presented. The issue of correct application of these novel methods in real protective relays has been discussed

Keywords

compensation; current transformers; instrument transformers; neural nets; potential transformers; power engineering computing; power transmission lines; power transmission protection; relay protection; ANN methods; capacitive voltage transformers; current transformers; dynamic compensation; high voltage power system measurements; instrument transformer correction; inverse transfer functions modelling; nonlinear multilayer recursive artificial neural networks; protective relays; transmission line protection;

fLanguage

English

Publisher

iet

Conference_Titel

Developments in Power System Protection, 2001, Seventh International Conference on (IEE)

Conference_Location

Amsterdam

ISSN

0537-9989

Print_ISBN

0-85296-732-2

Type

conf

DOI

10.1049/cp:20010160

Filename

929323