Intelligent current controller for an HVDC transmission link

Author

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

Author_Institution

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

Volume

13

Issue

3

fYear

1998

fDate

8/1/1998 12:00:00 AM

Firstpage

1076

Lastpage

1083

Abstract

This paper describes an intelligent current controller for the fast and flexible control of an HVDC transmission link using artificial neural network (ANN) and fuzzy logic (FL) paradigms. A simple yet effective ANN architecture is presented with on-line adaptation of the activation function and learning parameters. Two methods of adapting the learning parameters are presented. In the first method, a heuristic approach to evaluate the learning rate as a polynomial of an energy function is considered. In the second method, a FL based on-line adaptation of the learning parameters is discussed. Performance of ANN, ANN-FL based and PI controllers are compared. A feasibility analysis is carried out to implement the proposed neural controller algorithm in real-time

Keywords

HVDC power transmission; control system synthesis; electric current control; fuzzy control; intelligent control; neurocontrollers; polynomials; power system control; two-term control; HVDC transmission link; PI controllers; activation function; artificial neural network; energy function polynomial; feasibility analysis; fuzzy logic; heuristic approach; intelligent current controller; learning parameters; neural controller algorithm; on-line adaptation; Artificial intelligence; Artificial neural networks; Control systems; Fuzzy logic; HVDC transmission; Inverters; Mathematical model; Real time systems; Rectifiers; Voltage control;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.709102

Filename

709102