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- Title
Implementation of a Hybrid ANN-Based Filter for the Reduction of Harmonic Currents.
- Authors
Obando, José Abel; Serrano, Victoria
- Abstract
Harmonic distortions caused by non-linear loads (NLLs) affect the behavior of electrical systems, creating harmonics in the fundamental signal. As a result, this deteriorates the power quality. Therefore, this work proposes the implementation of a hybrid filter based on an artificial neural network (ANN) control system, focused on subharmonic, interharmonic and odd harmonic distortions generated by a three-pulse cycloconverter. In addition, a passive double tuned filter was implemented to damp even and odd harmonics. As a result, the simulation performed in MATLAB/SIMULINK showed that the responses produced by the ANN are approximate to the distortions present in the electrical system. Consequently, the levels of total voltage distortions (THDV) and total current distortions (THDI) are reduced. Therefore, the ANN control system improves the quality in the electrical network because the current and voltage harmonics comply with the electrical standards.
- Subjects
NONLINEAR optical techniques; ARTIFICIAL neural networks; ARTIFICIAL intelligence; ELECTRICAL energy; POWER electronics
- Publication
European Journal of Electrical Engineering / Revue Internationale de Génie Electrique, 2021, Vol 23, Issue 3, p265
- ISSN
2103-3641
- Publication type
Article
- DOI
10.18280/ejee.230311