Title: Fuzzy logic-based multi-level shunt active power filter for harmonic reduction

Authors: Sundaram Elango; R. Subramanian; Venugopal Manikandan; Krishnan Ramakrishnan

Addresses: Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Civil Aerodrome Post, Coimbatore 641-014, Tamil Nadu, India ' Electronics Engineering, Sri Krishna College of Technology, Kovai Pudur, Coimbatore 641-042, Tamil Nadu, India ' Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Civil Aerodrome Post, Coimbatore 641-014, Tamil Nadu, India ' Department of Electrical and Electronics Engineering, Pondicherry Engineering College, Puducherry, India

Abstract: In this paper, using a three level diode clamped multilevel inverter and DC capacitor, a shunt active power filter (SAPF) is implemented to mitigate the supply current harmonics and compensate reactive power drawn from nonlinear load. The advantage of using three-level inverter paves way to reduced harmonic distortion and switching losses. Fuzzy logic control and unit sine vector control are proposed in this paper for generating reference current for the SAPF. The advantage of fuzzy control is that it is based on a linguistic description and does not require a mathematical model of the system. The implementation of fuzzy logic control (FLC) algorithm is executed using MATLAB fuzzy logic tool box. The proposed pulse width modulation (PWM) method produces the switching signals to the inverter from the sampled reference phase voltage magnitudes as in the case of conventional space vector PWM (SVPWM). The simulation results illustrate that the proposed three-level SAPF with low harmonic content in supply current and in phase with the line voltage. The simulation results are validated with prototype model for demonstrating the effectiveness of the system.

Keywords: fuzzy logic; active filters; total harmonic distortion; THD; pulse width modulation; reactive power.

DOI: 10.1504/IJOR.2020.108836

International Journal of Operational Research, 2020 Vol.39 No.1, pp.95 - 115

Received: 25 Jan 2017
Accepted: 17 Dec 2017

Published online: 28 Apr 2020 *

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