Development of Control Techniques using Modified Fuzzy Based SAPF for Power Quality Enhancement

T. M.Thamizh Thentral, K. Vijayakumar, S. Usha, R. Palanisamy, Thanikanti Sudhakar Babu*, Hassan Haes Alhelou, Amer Al-Hinai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Low power distribution systems have severe power quality issues due to the non-linearity of several residential and industrial loads. The main power quality issue is the harmonics leading to the overheating of the transformers in the distribution systems. By employing passive filters, active filters, and custom power devices, the harmonics in the source current can be reduced. To overcome the drawbacks of conventional tuned filters and active power filters the modified shunt active power filter was introduced with the fuzzy logic controller. In this paper, an effective way of reducing the total harmonic distortion using three-phase three-wire shunt active filter is carried out and this has been investigated through three control methods namely synchronous reference frame theory, real and reactive power theory, and indirect reference current theory. The recognized control methods are implemented with the fuzzy controller to improve the performance of the induction motor drive. The hardware setup was implemented for the proposed fuzzy-based control technique to achieve better performance in terms of reduced total harmonic distortion and DC link voltage and improved speed performance of induction motor drive when compared to other control methods. Further power factor correction and better reactive power compensation are achieved by implementing hardware.

Original languageEnglish
Article number9422697
Pages (from-to)68396-68413
Number of pages18
JournalIEEE Access
Volume9
DOIs
Publication statusPublished - Jan 1 2021
Externally publishedYes

Keywords

  • DC~link voltage
  • FUZZY controller
  • Power quality
  • SPAF
  • induction motor drives
  • total harmonics distortion

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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