Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Harmonic Mitigation and Power Factor Improvement using Fuzzy Logic and Neural Network Controlled Active Power Filter

  • Kumar, V.Suresh (Dept. of Electrical and Electronics Engineering, Thiagarajar College of Engineering) ;
  • Kavitha, D. (Dept. of Electrical and Electronics Engineering, Thiagarajar College of Engineering) ;
  • Kalaiselvi, K. (Dept. of Computer Science and Engineering, Sethu Institute of Technology) ;
  • Kannan, P. S. (Dept. of Electrical and Electronics Engineering, Thiagarajar College of Engineering)
  • Published : 2008.12.01
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Abstract

This work focuses on the evaluation of active power filter which is controlled by fuzzy logic and neural network based controller for harmonic mitigation and power factor enhancement. The APF consists of a variable DC voltage source and a DC/AC inverter. The task of an APF is to make the line current waveform as close as possible to a sinusoid in phase with the line voltage by injecting the compensation current. The compensation current is estimated using adaptive neural network. Using the estimated current, the proposed APF is controlled using neural network and fuzzy logic. Computer simulations of the proposed APF are performed using MATLAB. The results show that the proposed techniques for the evaluation of APF can reduce the total harmonic distortion less than 3% and improve the power factor of the system to almost unity.

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References

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