Shunt active Power Filter Performance Evaluation Using Artificial Neural Networks and 6-Switch 2-Leg Inverter with PI/Fuzzy Logic Controlled Transformerless

Abstract

Background/Objective: To improve the power quality in distribution networks, this study proposes a Transformer less Shunt Hybrid Power Filter (TSHPF) employing a 6-Switch 2-Leg Inverter (SSTL). Statistical Analysis/Methods: The TSHPF is made up of a passive filter and an SSTL inverter connected at a Point of Common Coupling (PCC). Shunt Active Filter (SAF) is a function of this SSTL inverter. SSTL inverter's DC bus voltage is maintained using a PI/Fuzzy controller. Inverter switching pulses are produced using a linear control approach. Here, a TSHPF integrated with a fuzzy controller is created, and comparisons are drawn with a traditional PI controller. Findings: For both control techniques, the suggested system is simulated in MATLAB/ SIMULINK. According to simulation studies, adding a fuzzy controller increases the overall harmonic distortion compared to PI From 8.64% to 3.40% less harmonic distortion is produced. Because an explicit mathematical model is required, improvement: The PI controller cannot be implemented. As a result, TSHPF based on fuzzy controllers is substantially more effective in improving power quality.