Abstract
This paper presents a harmonic extraction algorithm using artificial neural networks for Dynamic Voltage Restorers (DVRs). The suggested algorithm employs a feed forward Multi Layer Perceptron (MLP) Neural Network with error back propagation learning to effectively track and extract the 3rd and 5th voltage harmonics. For this purpose, two different MLP neural network structures are constructed and their performances compared. The effects of hidden layer, supervisors and learning rate are also presented. The proposed MLP Neural Network algorithm is trained and tested in MATLAB program environment. The results show that MLP neural network enable to extract each harmonic effectively.
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The authors gratefully acknowledge Electrical, Electronics and Informatics Research Group of the Scientific and Technical Research Council of Turkey (Project No. EEEAG-106E188), for full financial support.
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Appendix
Appendix
The flowchart of the used train algorithm
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Tümay, M., Meral, M.E. & Bayindir, K.Ç. Extraction of voltage harmonics using multi-layer perceptron neural network. Neural Comput & Applic 17, 585–593 (2008). https://doi.org/10.1007/s00521-007-0154-2
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DOI: https://doi.org/10.1007/s00521-007-0154-2