Original Research

Control of a hybrid compensator in a power network by an artificial neural network

I. S. Shaw, J. D. van Wyk, R. W. Pretorius
Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie | Vol 17, No 1 | a687 | DOI: https://doi.org/10.4102/satnt.v17i1.687 | © 1998 I. S. Shaw, J. D. van Wyk, R. W. Pretorius | This work is licensed under CC Attribution 4.0
Submitted: 11 July 1998 | Published: 11 July 1998

About the author(s)

I. S. Shaw,, South Africa
J. D. van Wyk,, South Africa
R. W. Pretorius,, South Africa

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Abstract

Increased interest in the elimination of distortion in electrical power networks has led to the development of various compensator topologies. The increasing cost of electrical energy necessitates the cost-effective operation of any of these topologies. This paper considers the development of an artificial neural network based controller, trained by means of the backpropagation method, that ensures the cost-effective operation of the hybrid compensator consisting of various converters and filters.

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