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