Original Research
Control of a hybrid compensator in a power network by an artificial neural network
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
Submitted: 11 July 1998 | Published: 11 July 1998
About the author(s)
I. S. Shaw,, South AfricaJ. D. van Wyk,, South Africa
R. W. Pretorius,, South Africa
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PDF (429KB)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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