Abstract
• Power quality problem occurs due to nonlinearity loads connected in the system. • Soft computing techniques are commonly used for power quality improvement. • Neural networks require training data set for solving the power quality problem. In this paper, an Adaptive Neuro Fuzzy Interference System (ANFIS) is proposed for eliminating voltage harmonics present in the multilevel inverter. It is achieved by reducing the THD present in the multilevel inverter output voltage. Here, the voltage variation of the multilevel inverter is determined from the actual load voltage and the reference voltage. The voltage variation at different time interval has been applied to the ANFIS. According to the voltage variations, the switching angles can be generated from the interference system. These switching angles can make the multilevel inverter output voltage with reduced THD. The proposed technique is implemented in the MATLAB/simulink working platform. The effectiveness of the proposed method is evaluated by the multilevel inverter output voltage without controller and with Neuro Fuzzy Controller (NFC).
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