JOURNAL ARTICLE

Harmonic Suppression and Reactive Power Compensation of Shunt Active Power Filter

Abstract

This paper presents a new method for harmonic and reactive power compensation with an artificial neural network(ANN) controller and a new control algorithm for active power filter (APF) to eliminate harmonics and compensate the reactive power of three-phase thyristor bridge rectifier. The artificial neural network (ANN) current controller is adapted to active power filter (APF) and the current controller based on hysteresis current controller is used to generate the firing pulses. All of the studies have been carried out through detail digital dynamic simulation using the MATLAB Simulink Power System Toolbox. The results of simulation study of new APF control technique presented in this paper are found quite satisfactory to eliminate harmonics and reactive power components from utility current.

Keywords:
AC power Harmonics Control theory (sociology) Active filter Rectifier (neural networks) Power factor Thyristor Controller (irrigation) Computer science Harmonic Electronic engineering Engineering Artificial neural network Voltage Electrical engineering Recurrent neural network Artificial intelligence Physics

Metrics

4
Cited By
0.53
FWCI (Field Weighted Citation Impact)
4
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Power Quality and Harmonics
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Magnetic Properties and Applications
Physical Sciences →  Materials Science →  Electronic, Optical and Magnetic Materials
Power Systems Fault Detection
Physical Sciences →  Engineering →  Control and Systems Engineering

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