Home / Current Issue / Paper 1720104
Reduction of Harmonic Distortion in Synchronous Machines Using a Hybrid Active Filter and ANFIS Technique
Subject area: Science,Engineering and Technology · Area of research: Power System Harmonics
Abstract
Harmonic distortion generated by nonlinear loads poses a significant threat to the performance and operational reliability of synchronous machines by degrading waveform quality, increasing electrical losses, and reducing machine efficiency. This study investigates the effectiveness of a standalone active filter and a hybrid Active Filter–Adaptive Neuro-Fuzzy Inference System (Filter/ANFIS) in mitigating harmonic distortion in a synchronous machine at the Ibom Power Plant. Mathematical models of the synchronous machine and filtering schemes were developed and implemented in MATLAB/Simulink. Performance evaluation was conducted under no-load (0 MW) and full-load (20 MW) operating conditions using Total Harmonic Distortion (THD) as the evaluation metric. At 20 MW, the unfiltered system recorded THD values of 20.00% for current, 18.92% for voltage, and 18.20% for frequency, confirming the significant deterioration in power quality under increased loading. In contrast, waveform ripples observed at 0 MW indicated the presence of inherent harmonic distortion even under no-load operation. The standalone active filter reduced the current THD from 20.00% to 5.12%, while the proposed Filter/ANFIS hybrid further reduced it to 4.13%, demonstrating superior harmonic suppression through adaptive neuro-fuzzy control. The results establish that integrating ANFIS with an active filter significantly enhances harmonic mitigation and improves waveform quality, thereby increasing the operational stability, efficiency, and power quality of synchronous machines. The proposed hybrid technique provides a robust and intelligent solution for harmonic distortion reduction in modern power generation systems.
Keywords
Harmonic Distortion, Synchronous Machine, Active Filter, ANFIS, Hybrid Filtering, Power Quality.
How to cite this paper
@article{1720104,
author = {Uju I. U., Efoke M. U, Obinwa C. I., Okafor M. E., Anyanor K. I.; Bob D. M. A.},
title = {Reduction of Harmonic Distortion in Synchronous Machines Using a Hybrid Active Filter and ANFIS Technique},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {1},
pages = {3306-3319},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1720104.pdf},
abstract = {Harmonic distortion generated by nonlinear loads poses a significant threat to the performance and operational reliability of synchronous machines by degrading waveform quality, increasing electrical losses, and reducing machine efficiency. This study investigates the effectiveness of a standalone active filter and a hybrid Active Filter–Adaptive Neuro-Fuzzy Inference System (Filter/ANFIS) in mitigating harmonic distortion in a synchronous machine at the Ibom Power Plant. Mathematical models of the synchronous machine and filtering schemes were developed and implemented in MATLAB/Simulink. Performance evaluation was conducted under no-load (0 MW) and full-load (20 MW) operating conditions using Total Harmonic Distortion (THD) as the evaluation metric. At 20 MW, the unfiltered system recorded THD values of 20.00% for current, 18.92% for voltage, and 18.20% for frequency, confirming the significant deterioration in power quality under increased loading. In contrast, waveform ripples observed at 0 MW indicated the presence of inherent harmonic distortion even under no-load operation. The standalone active filter reduced the current THD from 20.00% to 5.12%, while the proposed Filter/ANFIS hybrid further reduced it to 4.13%, demonstrating superior harmonic suppression through adaptive neuro-fuzzy control. The results establish that integrating ANFIS with an active filter significantly enhances harmonic mitigation and improves waveform quality, thereby increasing the operational stability, efficiency, and power quality of synchronous machines. The proposed hybrid technique provides a robust and intelligent solution for harmonic distortion reduction in modern power generation systems.},
keywords = {Harmonic Distortion, Synchronous Machine, Active Filter, ANFIS, Hybrid Filtering, Power Quality.},
month = {July},
}