Investigation into an artificial neural network based on-line current controller for an HVDC transmission link

Author

Narendra, K.G. ; Sood, V.K. ; Khorasani, K. ; Patel, R.V.

Author_Institution

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

Volume

12

Issue

4

fYear

1997

fDate

11/1/1997 12:00:00 AM

Firstpage

1425

Lastpage

1431

Abstract

An artificial neural network (ANN) based current controller for a HVDC transmission link is described in this paper. Different ANN architectures and activation functions (AFs) are investigated for this ANN controller. Small (set current change) and large (DC-line fault) signal perturbations are applied to optimize the learning parameters for the controller. Performance evaluation of the ANN controller under noise conditions is studied. A comparison between a traditional PI and the proposed ANN controller is made for various system contingencies and it is shown that the latter has many attractive features

Keywords

HVDC power transmission; control system synthesis; electric current control; learning (artificial intelligence); neurocontrollers; power system control; transfer functions; two-term control; ANN architectures; ANN controller; DC-line fault; HVDC transmission link; PI controller; activation functions; artificial neural network; large signal perturbations; learning parameters optimisation; on-line current controller; set current change; small signal perturbations; Artificial neural networks; Computer architecture; Control systems; Demand forecasting; Fault diagnosis; Fault tolerance; HVDC transmission; Neurons; State estimation; System identification;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.627837

Filename

627837