Harmonic Compensation in Five Level NPC Active Filtering: Analysis, Dimensioning and Robust Control Using IT2 FLC

Harmonic Compensation in Five Level NPC Active Filtering: Analysis, Dimensioning and Robust Control Using IT2 FLC

Bellatreche Habiba Tlemçani Abdelhalim

Department of Electronic, Faculty of Technology, University Saad Dahlab. Blida, Algeria

Research Laboratory of Electrical Engineering and Automation, University Yahia Fares. Médéa, Algeria

Corresponding Author Email: 
bell-habiba@outlook.com; h_tlemcani@yahoo.fr
2 June 2017
15 July 2017
31 December 2017
| Citation



Shunt Active Power Filters (APF) are complex power electronics equipments adopted to compensate for current harmonic pollution in power systems. Using a proper capacitor as energy reservoir, the shunt APF purpose is to inject in the line grid currents cancelling the polluting harmonics. The performance of APF is principally depends on the voltage control algorithms for DC-side and the selection of reference current extraction methods. In controlling non-linear systems, uncertainty is one of the most difficult obstacles. For that reason, several reported results have shown that Interval Type-2 Fuzzy Logic Controllers (IT2 FLCs) are very interesting to handle uncertainties. In this current paper a new control technique of dc-link capacitor voltage in five-level NPC shunt APF based on IT2 FLC is established. The control performances on global system are showed under various settings. All series of simulation results in MATLAB/Simulink environment are demonstrated and compared to illustrate the effectiveness of this scientific research.


Shunt Active Power Filter (SAPF), Synchronous Reference Frame (SRF), Neutral Point Clamped (NPC), IT2 FLCs, Hysteresis Current Control (HCC), Total Harmonic Distortion (THD).

1. Introduction
2. Parallel Active Filter
3. Harmonic Reference Extraction
4. NPC Inverter Five Level
5. Basic Concepts of Type-2 Fuzzy Sets
6. DC Bus Voltage Regulation
7. Performance Criteria
8. Simulation and Discussing Results
9. Comparative Analysis of the Results

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