Adaptive neuro-fuzzy inference system to improve the power quality of a split shaft microturbine power generation system

2012 ◽  
Vol 197 ◽  
pp. 196-209 ◽  
Author(s):  
Yüksel Oğuz ◽  
Seydi Vakkas Üstün ◽  
İsmail Yabanova ◽  
Mehmet Yumurtaci ◽  
İrfan Güney
Author(s):  
Mahmoud Mostefa Tounsi ◽  
Ahmed Allali ◽  
Houari Merabet Boulouiha ◽  
Mouloud Denaï

This paper addresses the problem of power quality, and the degradation of the current waveform in the distribution network which results directly from the proliferation of the nonlinear loads. We propose to use a five-level neutral point clamped (NPC) inverter topology for the implementation of the shunt active filter (SAPF). The aim of the SAPF is to inject harmonic currents in phase opposition at the connection point. The identification of harmonics is based on the pq method. A neuro-fuzzy controller based on ANFIS (adaptive neuro fuzzy inference system) is designed for the SAPF. The simulation study is carried out using MATLAB/Simulink and the results show a significant improvement in the quality of energy and a reduction in total harmonic distortion (THD) in accordance with IEC standard, IEEE-519, IEC 61000, EN 50160.


2016 ◽  
Vol 2016.54 (0) ◽  
pp. 131-132
Author(s):  
Daisuke MIKAWA ◽  
Shin'ya OBARA ◽  
Masahito KAWAI ◽  
Masamitsu TAKABATAKE

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