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Harmonic Reduction Solution by Applying On-Line Trained Adaptive Neural Controller for Shunt Active Filter

  • Nguyen Thi-Hoai Nam
  • Chun-Tang Chao
  • Chi-Jo Wang
  • Cheng-Ting Hsu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 293)

Abstract

This paper proposes an intelligent control method for shunt active power filter to compensate the harmonic distortion in three phase power systems. For electric power systems, harmonics contamination generated by the nonlinear nature of the load is a serious and harmful problem. Shunt active filter (AF) has been employed to mitigate line current harmonics. In the presented system, Fuzzy Logic Controller (FLC) is first designed to implement the AF. Then the initial training data with two inputs, the error and derivate of the error, and one output signal from FLC can be obtained. Finally, a Neural Network (NN) with on-line training features is designed by using S-function in Simulink to achieve better performance. Simulation results show the effectiveness of the proposed active power filter system which improves the power quality, reduces the current harmonics and obtains better transient and steady-state responses.

Keywords

Active filter Harmonics reduction Neural network On-line training 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Nguyen Thi-Hoai Nam
    • 1
  • Chun-Tang Chao
    • 1
  • Chi-Jo Wang
    • 1
  • Cheng-Ting Hsu
    • 1
  1. 1.Department of Electrical EngineeringSouthern Taiwan University of Science and TechnologyTainanTaiwan, Republic of China

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