A Hybrid Active Power Filter Using Artificial Neural Networks to Remove Harmonics from Distorted Mains

<p><em><span>A description of the dynamic neural network-controlled hybrid active power filter (HAPF) is provided for harmonic correction during source voltage and load current fluctuations. A neural network-based controller operates to extract current essentials from non-sinusoidal and unbalanced currents of the examined supply system. The presented compensation system merges shunt active and shunt passive filter mechanisms to achieve superior performance. The analysis of a three-phase hybrid active power filter occurs within MATLAB/SIMULINK both for balanced and unbalanced loads and unbalanced and distorted sources. The methodology validation took place through the complete simulation level findings presentation.</span></em></p>

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-05
DOI
https://doi.org/10.5281/zenodo.14976374
Primary Topic
Power Quality and Harmonics
Type
article
Field-Weighted Citation Impact
0.00
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article

A Hybrid Active Power Filter Using Artificial Neural Networks to Remove Harmonics from Distorted Mains

Zenodo (CERN European Organization for Nuclear Research)
Power Quality and Harmonics
article

A Hybrid Active Power Filter Using Artificial Neural Networks to Remove Harmonics from Distorted Mains

article en

Abstract

<p><em><span>A description of the dynamic neural network-controlled hybrid active power filter (HAPF) is provided for harmonic correction during source voltage and load current fluctuations. A neural network-based controller operates to extract current essentials from non-sinusoidal and unbalanced currents of the examined supply system. The presented compensation system merges shunt active and shunt passive filter mechanisms to achieve superior performance. The analysis of a three-phase hybrid active power filter occurs within MATLAB/SIMULINK both for balanced and unbalanced loads and unbalanced and distorted sources. The methodology validation took place through the complete simulation level findings presentation.</span></em></p>

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 55%
Power Quality and Harmonics
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