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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 785A Review on DSTATCOM Neural Network Control...

A Review on DSTATCOM Neural Network Control Algorithm for Power Quality Improvement

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Abstract:

This paper reviews neural network control algorithm for power quality improvement. Further, this paper focuses on the neural network control algorithm for DSTATCOM and surveys its area of improvements. Various architectures of Neural Network such as Adaline/Widrow-Hoff, perceptron, Back-propagation (BP), Hopfield, and Radial Basis Function (RBF) that has been reviewed in this paper. It is found that many researches on theoretical works and single phase system are widely performed, whereas its application on distribution network for three phase system is hardly found. Even so much improvement that have been done by researchers theoretically to improve the drawbacks of Neural Network controller; there are still wide gaps for verification through experimental implementation and industrial applications.

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Periodical:

Applied Mechanics and Materials (Volume 785)

Pages:

363-367

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.785.363

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Online since:

August 2015

Authors:

N.H. Baharudin*, Syed Idris Syed Hassan, Puteh Saad, Tunku Muhammad Nizar Tunku Mansur, Rosnazri Ali

Keywords:

DSTATCOM, Harmonics, Power Quality, Shunt Active Power Filter

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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