Review of Fundamental Active Current Extraction Techniques for SAPF.

Journal: Sensors (Basel, Switzerland)
Published Date:

Abstract

The field of advanced digital signal processing methods is one of the fastest developing scientific and technical disciplines, and is important in the field of Shunt Active Power Filter control methods. Shunt active power filters are highly desirable to minimize losses due to the increase in the number of nonlinear loads (deformed power). Currently, there is rapid development in new adaptive, non-adaptive, and especially hybrid methods of digital signal processing. Nowadays, modern methods of digital signal processing maintain a key role in research and industrial applications. Many of the best practices that have been used to control shunt active power in industrial practice for decades are now being surpassed in favor of new progressive approaches. This systematic research review classifies the importance of using advanced signal processing methods in the field of shunt active power filter control methods and summarizes the extant harmonic extraction methods, from the conventional approach to new progressive methods using genetic algorithms, artificial intelligence, and machine learning. Synchronization techniques are described and compared as well.

Authors

  • Jan Baros
    Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic.
  • Vojtech Sotola
    Department of Electronics, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic.
  • Petr Bilik
    Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 700 30 Ostrava, Czech Republic.
  • Radek Martinek
    Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 700 30 Ostrava, Czech Republic.
  • Rene Jaros
    Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic.
  • Lukas Danys
    Department of Cybernetics and Biomedical Engineering, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic.
  • Petr Simonik
    Department of Electronics, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic.