Title :
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
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;
Conference_Titel :
Developments in Power System Protection, 2001, Seventh International Conference on (IEE)
Conference_Location :
Amsterdam
Print_ISBN :
0-85296-732-2
DOI :
10.1049/cp:20010160
