University of Hertfordshire

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  • 22_03_01

    Final published version, 1.85 MB, PDF document

  • Khaled Djerboub
  • Tayeb Allaoui
  • Gerard Champenois
  • Mouloud Denai
  • Chaib Habib
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Original languageEnglish
Pages (from-to)199-207
Number of pages9
JournalEuropean Journal of Electrical Engineering
Publication statusPublished - 30 Jun 2020


Shunt Active Power Filters (SAPF) are an emerging power electronics-based technology to mitigate harmonic and improve power quality in distribution grids. The SAPF proposed in this paper is based on three-phase Flying Capacitor Inverter (FCI) with a three-cell per phase topology, which has the advantage to provide voltage stress distribution on the switches. However, controlling the voltage of floating capacitors is a challenging problem for this type of topology. In this paper, a controller based artificial neural networks optimized with particle swarm optimization (ANN-PSO) is proposed to regulate the filter currents to follow the references extracted by the method of synchronous reference frame (SRF). The simulation results showed an enhancement of the power quality with a significant reduction in the THD levels of the current source under various loading conditions, which confirms the effectiveness, and robustness of the proposed control scheme and SAPF topology.


© 2020 by the authors; licensee IIETA, Edmonton, Canada. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution License (

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