Comparative evaluation of neural-network-based and PI current controllers for HVDC transmission

Author

Sood, V.K. ; Kandil, N. ; Patel, R.V. ; Khorasani, K.

Author_Institution

Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada

Volume

9

Issue

3

fYear

1994

fDate

5/1/1994 12:00:00 AM

Firstpage

288

Lastpage

296

Abstract

An investigation into a neural network (NN)-based controller, composed of a NN trained off-line in parallel with a NN trained on-line, is described in this paper. This NN controller has the potential of replacing the PI controller traditionally used for HVDC transmission systems. A theoretical basis for the operational behavior of the individual NN controllers is presented. Comparisons between the responses obtained with the NN and PI controllers for the rectifier of an HVDC transmission system are made under typical system perturbations and faults

Keywords

DC power transmission; controllers; electric current control; electrical faults; learning (artificial intelligence); neural nets; power system computer control; rectifiers; two-term control; HVDC system faults; HVDC system perturbations; HVDC transmission; PI current controllers; neural-network-based current controllers; off-line trained neural net; on-line trained neural net; Control systems; HVDC transmission; Inverters; Neural networks; Nonlinear control systems; Optimal control; Power harmonic filters; Power system dynamics; Power system harmonics; Rectifiers;

fLanguage

English

Journal_Title

Power Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0885-8993

Type

jour

DOI

10.1109/63.311262

Filename

311262