Harmonic Detection for Shunt Active Power Filter Using ADALINE Neural Network

This paper presents an efficient harmonic detection for real-time generation of the reference current fed to a shunt active power filter using the ADALINE neural network. This proposed method is a single layer with 101 nodes generating the coefficients referred to as weights of the reference current...

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Bibliographic Details
Published in:Energies (Basel) 2021-07, Vol.14 (14), p.4351
Main Authors: Janpong, Sarawut, Areerak, Kongpol, Areerak, Kongpan
Format: Article
Language:English
Subjects:
active power filter
ADALINE neural network
Bias
Electricity distribution
Harmonic distortion
harmonic elimination
instantaneous power theory
Methods
Neural networks
Power factor
Simulation
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Summary:This paper presents an efficient harmonic detection for real-time generation of the reference current fed to a shunt active power filter using the ADALINE neural network. This proposed method is a single layer with 101 nodes generating the coefficients referred to as weights of the reference current model. It effectively overcomes the drawback of the current technology, which is instantaneous power theory (PQ). The proposed method was implemented on the TMS320F28335 DSP board and tested against MATLAB with Simulink as a hardware-in-loop (HIL) structure. This method gives a good performance by producing a precise reference current in a short period with uncomplicated calculation. It also efficiently can eliminate individual harmonic current. The achieved percentage of total harmonic distortion (%THD) in the current is reduced following the IEEE standard, while the power factor can be maintained to unity.
ISSN:1996-1073
1996-1073
DOI:10.3390/en14144351