Open AccessRETRACTED: Power Quality Issues Compensation using ANN Techniques
Author(s) -
S. Veerakumar,
P. Selvabharathi,
S. Sathishkumar
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1084/1/012104
Subject(s) - adaptive neuro fuzzy inference system , control theory (sociology) , active filter , computer science , matlab , voltage , compensation (psychology) , filter (signal processing) , capacitor , ac power , electronic engineering , fuzzy control system , fuzzy logic , control engineering , engineering , artificial intelligence , electrical engineering , control (management) , psychology , psychoanalysis , computer vision , operating system
This idea is to propose an active filter which adopts to power quality issues and to solve this through Artificial intelligence techniques. This proposed active filter is combined to shunt active filter (SAF) which is controlled by neuro fuzzy interference system (ANFIS). This proposed adaptive filter performance is enhanced by ANFIS tool. This ANFIS is a class of adaptive system these functions are equivalent to fuzzy based systems. The purpose of ANFIS is to control the discharging time of dc-link capacitor in SAF there by reduces the power quality issues. The dc-link voltage values are get affected by the load fluctuation and these fluctuations can be suppressed by measuring and regulating the reference voltage. The purpose of ANFIS base adaptive shunt active filter is to achieve enhanced power quality there by reducing dc link voltage and current fluctuations very quickly. The proposed technique implemented and results are obtained using MATLAB its performance is evaluated through reference value.